[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"portal-settings:figure:de":3,"public-menus:all":45,"post:nvidia-g-assist-is-not-just-a-chatbot-how-its-local-slm-tools-plug-ins-and-mcp-actually-work:de":531,"related:post:nvidia-g-assist-is-not-just-a-chatbot-how-its-local-slm-tools-plug-ins-and-mcp-actually-work:de:1":2657},{"statusCode":4,"data":5,"message":44},200,{"tenantId":6,"lang":7,"defaultLang":8,"siteUrl":9,"contactEmail":10,"brandName":11,"logoUrl":12,"siteName":11,"siteDescription":13,"ogImage":14,"robotsIndex":15,"socialLinks":14,"reservedSlugs":14,"seoPolicy":16},"figure","de","en","https:\u002F\u002Ffigure.rocks","info@stajic.de","Figure Rocks","\u002Ffavicon-32x32.png","",null,true,{"branding":17,"relatedContent":18,"crossDomainLinks":19},{"logoUrl":12},{"enabled":15},[20,23,26,29,32,35,38,41],{"url":21,"label":22,"isActive":15,"showInFooter":15,"includeInSameAs":15},"https:\u002F\u002Floving.rocks","loving.rocks",{"url":24,"label":25,"isActive":15,"showInFooter":15,"includeInSameAs":15},"https:\u002F\u002Fstajic.de","stajic.de",{"url":27,"label":28,"isActive":15,"showInFooter":15,"includeInSameAs":15},"https:\u002F\u002Fbazify.com","bazify.com",{"url":30,"label":31,"isActive":15,"showInFooter":15,"includeInSameAs":15},"https:\u002F\u002Fbazify.de","bazify.de",{"url":33,"label":34,"isActive":15,"showInFooter":15,"includeInSameAs":15},"https:\u002F\u002F2mesta.com","2mesta.com",{"url":36,"label":37,"isActive":15,"showInFooter":15,"includeInSameAs":15},"https:\u002F\u002F2mesta.de","2mesta.de",{"url":39,"label":40,"isActive":15,"showInFooter":15,"includeInSameAs":15},"https:\u002F\u002Fbazify.at","bazify.at",{"url":42,"label":43,"isActive":15,"showInFooter":15,"includeInSameAs":15},"https:\u002F\u002Fweb-hoch3.de","web-hoch3.de","Portal settings resolved",[46],{"id":47,"name":48,"location":49,"isActive":15,"isDefault":15,"items":50},2,"Main Menu","sidebar",[51,65,189,282,358,424],{"id":52,"title":53,"url":61,"target":62,"icon":63,"isActive":15,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":64},"1",{"de":54,"en":55,"es":56,"fr":57,"it":55,"ru":58,"sr":59,"zh":60},"Startseite","Home","Inicio","Accueil","Главная","Početna","首页","\u002F","_self","i-lucide-home",[],{"id":66,"title":67,"url":76,"target":62,"icon":77,"isActive":15,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":78},"3",{"de":68,"en":69,"es":70,"fr":71,"it":72,"ru":73,"sr":74,"zh":75},"Spiele","Games","Juegos","Jeux","Giochi","Игры","Igre","游戏","\u002Fgames","i-lucide-gamepad-2",[79,92,107,121,135,148,162,176],{"id":80,"title":81,"url":76,"target":62,"icon":90,"isActive":15,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":91},"3-1",{"de":82,"en":83,"es":84,"fr":85,"it":86,"ru":87,"sr":88,"zh":89},"Spiele-Hub","Games Hub","Centro de juegos","Hub de jeux","Hub Giochi","Игровой центр","Centar za igre","游戏中心","i-lucide-layout-grid",[],{"id":93,"title":94,"url":103,"target":62,"icon":104,"isActive":15,"type":105,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":106},"1-1",{"de":95,"en":96,"es":97,"fr":98,"it":99,"ru":100,"sr":101,"zh":102},"Neu & Angesagt","New & Trending","Novedades & Tendencias","Nouveautés & Tendances","Novità & Tendenze","Новинки & тренды","Novo & Popularno","新品 & 热门","\u002Fnews\u002Fgaming-news","i-lucide-sparkles","custom",[],{"id":108,"title":109,"url":118,"target":62,"icon":119,"isActive":15,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":120},"1-2",{"de":110,"en":111,"es":112,"fr":113,"it":114,"ru":115,"sr":116,"zh":117},"Angebote","Deals","Ofertas","Offres","Offerte","Акции","Ponude","优惠","\u002Fdeals","i-lucide-badge-percent",[],{"id":122,"title":123,"url":132,"target":62,"icon":133,"isActive":15,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":134},"1-3",{"de":124,"en":125,"es":126,"fr":127,"it":128,"ru":129,"sr":130,"zh":131},"Release-Kalender","Release Calendar","Calendario de lanzamientos","Calendrier des sorties","Calendario delle uscite","Календарь релизов","Kalendar izdanja","发布日历","\u002Freleases","i-lucide-calendar-days",[],{"id":136,"title":137,"url":145,"target":62,"icon":146,"isActive":15,"type":105,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":147},"3-2",{"de":138,"en":139,"es":140,"fr":141,"it":142,"sr":143,"zh":144},"amiibo-kompatible Spiele","amiibo-Compatible Games","Juegos compatibles con Amiibo","Jeux compatibles Amiibo","Giochi compatibili con amiibo","Amiibo kompatibilne igre","Amiibo 兼容游戏","\u002Freference\u002Fcompatibility","i-lucide-check-circle-2",[],{"id":149,"title":150,"url":159,"target":62,"icon":160,"isActive":15,"type":105,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":161},"3-3",{"de":151,"en":152,"es":153,"fr":154,"it":155,"ru":156,"sr":157,"zh":158},"Wie amiibo funktionieren","How amiibo work","Cómo funcionan los Amiibo","Comment fonctionnent les Amiibo","Come funzionano gli Amiibo","Как работают Amiibo","Kako Amiibo rade","Amiibo 如何运作","\u002Fgames\u002Fhow-amiibo-unlocks-work","i-lucide-puzzle",[],{"id":163,"title":164,"url":173,"target":62,"icon":174,"isActive":15,"type":105,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":175},"3-4",{"de":165,"en":166,"es":167,"fr":168,"it":169,"ru":170,"sr":171,"zh":172},"Beste Amiibo pro Spiel","Best amiibo per Game","Mejores Amiibo por juego","Meilleurs Amiibo par jeu","Migliori Amiibo per gioco","Лучшие Amiibo по играм","Najbolji Amiibo po igri","各游戏最佳 Amiibo","\u002Fgames\u002Fbest-amiibo-per-game","i-lucide-award",[],{"id":177,"title":178,"url":186,"target":62,"icon":187,"isActive":15,"type":105,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":188},"3-5",{"de":179,"en":180,"es":181,"fr":182,"it":183,"ru":184,"sr":185},"Freischaltbares & Belohnungen","Unlockables & Rewards","Desbloqueables & Recompensas","Déblocables & Récompenses","Sbloccabili & Ricompense","Разблокировки & награды","Otključavanja & nagrade","\u002Fgames\u002Funlocks-and-benefits","i-lucide-gift",[],{"id":190,"title":191,"url":199,"target":62,"icon":200,"isActive":15,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":201},"4",{"de":192,"en":193,"es":194,"it":195,"ru":196,"sr":197,"zh":198},"Sammeln","Collecting","Coleccionismo","Collezionismo","Коллекционирование","Kolekcionarstvo","收藏","\u002Fcollecting","i-lucide-gem",[202,213,227,240,254,268],{"id":203,"title":204,"url":211,"target":62,"icon":90,"isActive":15,"type":105,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":212},"4-1",{"de":205,"en":206,"fr":207,"it":208,"ru":209,"zh":210},"Sammel-Hub","Collecting Hub","Hub de collecte","Hub di raccolta","Центр сбора","收藏中心","\u002Famiibo\u002Fcollecting",[],{"id":214,"title":215,"url":224,"target":62,"icon":225,"isActive":15,"type":105,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":226},"4-2",{"de":216,"en":217,"es":218,"fr":219,"it":220,"ru":221,"sr":222,"zh":223},"Kaufberatung","Buying Guide","Guía de compra","Guide d'achat","Guida all'acquisto","Гид покупателя","Vodič za kupovinu","购买指南","\u002Famiibo-library\u002Famiibo-buying-smart","i-lucide-shopping-bag",[],{"id":228,"title":229,"url":237,"target":62,"icon":238,"isActive":15,"type":105,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":239},"4-3",{"de":230,"en":230,"es":231,"fr":232,"it":233,"ru":234,"sr":235,"zh":236},"Fake vs Real","Falso vs. Real","Faux vs Vrai","Falso vs Vero","Фейк vs Оригинал","Lažno vs Pravo","真假对比","\u002Famiibo-library\u002Famiibo-buying-smart\u002Favoid-fake-listings","i-lucide-scan",[],{"id":241,"title":242,"url":251,"target":62,"icon":252,"isActive":15,"type":105,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":253},"4-4",{"de":243,"en":244,"es":245,"fr":246,"it":247,"ru":248,"sr":249,"zh":250},"Aufbewahrung & Präsentation","Storage & Display","Almacenamiento & exhibición","Rangement & Présentation","Contenitori & Esposizione","Хранение & витрины","Odlaganje & izlaganje","存储 & 展示","\u002Famiibo-library\u002Famiibo-care-and-storage","i-lucide-box",[],{"id":255,"title":256,"url":265,"target":62,"icon":266,"isActive":15,"type":105,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":267},"4-5",{"de":257,"en":258,"es":259,"fr":260,"it":261,"ru":262,"sr":263,"zh":264},"Preisübersicht","Price Guide","Guía de precios","Guide des prix","Guida ai prezzi","Гид по ценам","Cenovnik","价格指南","\u002Fcollections\u002Fprice-guide","i-lucide-bar-chart-3",[],{"id":269,"title":270,"url":279,"target":62,"icon":280,"isActive":15,"type":105,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":281},"4-6",{"de":271,"en":272,"es":273,"fr":274,"it":275,"ru":276,"sr":277,"zh":278},"Raritäten","Rare Finds","Hallazgos únicos","Trouvailles rares","Pezzi rari","Редкие находки","Retki nalazi","稀有发现","\u002Fcollections\u002Frare-and-notable","i-lucide-trophy",[],{"id":283,"title":284,"url":292,"target":62,"icon":293,"isActive":15,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":294},"5",{"de":285,"en":286,"es":287,"fr":286,"it":288,"ru":289,"sr":290,"zh":291},"Technik","Tech","Tecnología","Tecnologia","Технологии","Tehnologija","科技","\u002Ftech","i-lucide-cpu",[295,306,318,331,344],{"id":296,"title":297,"url":292,"target":62,"icon":90,"isActive":15,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":305},"5-1",{"de":298,"en":298,"es":299,"fr":300,"it":301,"ru":302,"sr":303,"zh":304},"Tech Hub","Centro tecnológico","Hub Tech","Hub Tecnologico","Технохаб","Tehnološki centar","科技中心",[],{"id":307,"title":308,"url":315,"target":62,"icon":316,"isActive":15,"type":105,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":317},"5-2",{"de":309,"en":310,"fr":311,"it":312,"ru":313,"zh":314},"Audio- & Mikrofonqualität","Audio & Mic Quality","Qualité audio & micro","Qualità audio & mic","Качество звука & микрофона","音频 & 麦克风质量","\u002Fgear\u002Faudio","i-lucide-mic",[],{"id":319,"title":320,"url":328,"target":62,"icon":329,"isActive":15,"type":105,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":330},"5-3",{"de":321,"en":322,"es":323,"fr":324,"it":325,"sr":326,"zh":327},"Controller & Zubehör","Controllers & Accessories","Mandos & accesorios","Manettes & accessoires","Controller & Accessori","Kontroleri & dodatna oprema","控制器 & 配件","\u002Fgear\u002Fcontrols","i-lucide-joystick",[],{"id":332,"title":333,"url":341,"target":62,"icon":342,"isActive":15,"type":105,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":343},"5-4",{"de":334,"en":335,"es":336,"fr":337,"it":338,"ru":339,"sr":340},"Displays & Aufnahme","Displays & Capture","Pantallas & Captura","Écrans & Capture","Display & Acquisizione","Дисплеи & Захват","Ekrani & snimanje","\u002Fgear\u002Fdisplays","i-lucide-monitor",[],{"id":345,"title":346,"url":355,"target":62,"icon":356,"isActive":15,"type":105,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":357},"5-5",{"de":347,"en":348,"es":349,"fr":350,"it":351,"ru":352,"sr":353,"zh":354},"Netzwerkstabilität","Network Stability","Estabilidad de la red","Stabilité du réseau","Stabilità della rete","Стабильность сети","Stabilnost mreže","网络稳定性","\u002Fplaybooks\u002Fnetwork-stability","i-lucide-wifi",[],{"id":359,"title":360,"url":368,"target":62,"icon":369,"isActive":15,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":370},"6",{"de":361,"en":361,"es":362,"fr":363,"it":364,"ru":365,"sr":366,"zh":367},"Shop","Tienda","Boutique","Negozio","Магазин","Prodavnica","商店","\u002Fshop","i-lucide-shopping-cart",[371,383,391,399,412],{"id":372,"title":373,"url":368,"target":62,"icon":381,"isActive":15,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":382},"6-1",{"de":374,"en":375,"es":376,"fr":377,"ru":378,"sr":379,"zh":380},"Shop-Hub","Shop Hub","Centro de compras","Espace Boutique","Центр магазина","Centar za kupovinu","购物中心","i-lucide-store",[],{"id":384,"title":385,"url":388,"target":62,"icon":389,"isActive":15,"type":105,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":390},"6-2",{"de":386,"en":386,"es":387,"fr":387,"it":387,"sr":387,"zh":387},"amiibo","Amiibo","\u002Famiibo-shop","i-lucide-scan-line",[],{"id":392,"title":393,"url":396,"target":62,"icon":397,"isActive":15,"type":105,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":398},"6-3",{"de":394,"en":394,"es":394,"fr":394,"it":394,"ru":394,"sr":394,"zh":395},"LEGO","乐高","\u002Flego-shop","i-lucide-blocks",[],{"id":400,"title":401,"url":409,"target":62,"icon":410,"isActive":15,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":411},"6-4",{"de":402,"en":403,"es":404,"fr":405,"it":406,"sr":407,"zh":408},"Figuren & Sammlerstücke","Figures & Collectibles","Figuras & Coleccionables","Figurines & Objets de collection","Figure & Collezionismo","Figure & kolekcionarstvo","手办 & 收藏品","\u002Fshop\u002Ffigures","i-lucide-package",[],{"id":413,"title":414,"url":421,"target":62,"icon":422,"isActive":15,"type":105,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":423},"6-5",{"de":415,"en":415,"fr":416,"it":417,"ru":418,"sr":419,"zh":420},"Gaming Gear","Équipement gaming","Accessori gaming","Игровое снаряжение","Gejming oprema","游戏装备","\u002Fgaming-gear-shop","i-lucide-headphones",[],{"id":425,"title":426,"url":427,"target":62,"icon":389,"isActive":15,"type":105,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":428},"2",{"de":386,"en":386,"es":386,"fr":386,"it":386,"ru":386,"sr":386,"zh":386},"\u002Famiibo",[429,440,447,461,475,489,503,517],{"id":430,"title":431,"url":427,"target":62,"icon":90,"isActive":15,"type":105,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":439},"2-1",{"de":432,"en":433,"es":434,"fr":435,"it":435,"ru":436,"sr":437,"zh":438},"amiibo-Hub","amiibo Hub","Centro amiibo","Hub amiibo","Хаб amiibo","amiibo centar","amiibo 中心",[],{"id":441,"title":442,"url":444,"target":62,"icon":445,"isActive":15,"type":105,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":446},"1772724791061",{"de":443,"en":443},"Franchise","\u002Famiibo\u002Ffranchise","i-lucide-star",[],{"id":448,"title":449,"url":458,"target":62,"icon":459,"isActive":15,"type":105,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":460},"2-3",{"de":450,"en":451,"es":452,"fr":453,"it":454,"ru":455,"sr":456,"zh":457},"Region & Verpackung (EU\u002FUS\u002FJP)","Region & Packaging (EU\u002FUS\u002FJP)","Región y embalaje (UE\u002FEE. UU.\u002FJP)","Région & Emballage (UE\u002FUS\u002FJP)","Regione & Confezione (EU\u002FUS\u002FJP)","Регион & упаковка (EU\u002FUS\u002FJP)","Region & pakovanje (EU\u002FUS\u002FJP)","地区 & 包装 (EU\u002FUS\u002FJP)","\u002Famiibo-library\u002Famiibo-editions-and-regions","i-lucide-globe",[],{"id":462,"title":463,"url":472,"target":62,"icon":473,"isActive":15,"type":105,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":474},"2-4",{"de":464,"en":465,"es":466,"fr":467,"it":468,"ru":469,"sr":470,"zh":471},"Schnellidentifikations-Checkliste","Fast Identification Checklist","Lista de identificación rápida","Liste d'identification rapide","Checklist identificazione rapida","Чек-лист быстрой идентификации","Kontrolna lista za brzu identifikaciju","快速识别清单","\u002Famiibo\u002Fidentify-checklist","i-lucide-list-checks",[],{"id":476,"title":477,"url":486,"target":62,"icon":487,"isActive":15,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":488},"2-6",{"de":478,"en":479,"es":480,"fr":481,"it":482,"ru":483,"sr":484,"zh":485},"Tipps für Sealed-Sammlungen","Sealed Collection Tips","Consejos de colección sellada","Conseils collection scellée","Consigli collezione sigillata","Советы по коллекции Sealed","Saveti za zapečaćene kolekcije","密封收藏贴士","\u002Famiibo\u002Fsealed-tips","i-lucide-shield-check",[],{"id":490,"title":491,"url":500,"target":62,"icon":501,"isActive":15,"type":105,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":502},"2-5",{"de":492,"en":493,"es":494,"fr":495,"it":496,"ru":497,"sr":498,"zh":499},"Zustand & Bewertung","Condition & Grading","Estado & Graduación","État & Évaluation","Condizioni & Valutazione","Состояние & Оценка","Stanje & ocenjivanje","品相与分级","\u002Famiibo-library\u002Famiibo-condition-and-grading","i-lucide-badge-check",[],{"id":504,"title":505,"url":514,"target":62,"icon":515,"isActive":15,"type":105,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":516},"2-2",{"de":506,"en":507,"es":508,"fr":509,"it":510,"ru":511,"sr":512,"zh":513},"Ausgaben & Nachdrucke","Editions & Reprints","Ediciones & Reimpresiones","Éditions & Réimpressions","Edizioni & ristampe","Издания & переиздания","Izdanja & reizdanja","版本 & 重印","\u002Famiibo\u002Fcollecting\u002F","i-lucide-layers",[],{"id":518,"title":519,"url":528,"target":62,"icon":529,"isActive":15,"type":105,"productId":14,"categoryId":14,"shopCategoryId":14,"articleId":14,"pageId":14,"portfolioId":14,"children":530},"2-7",{"de":520,"en":521,"es":522,"fr":523,"it":524,"ru":525,"sr":526,"zh":527},"Nachdruck-Timeline","Reprint Timeline","Cronología de reimpresión","Chronologie des réimpressions","Cronologia ristampe","Хронология переизданий","Hronologija reprinta","重印时间轴","\u002Freference\u002Ftimelines\u002Famiibo-reprint-timeline","i-lucide-timer",[],{"statusCode":4,"data":532,"message":2656},{"id":533,"title":534,"slug":535,"content":536,"contentJson":537,"excerpt":1439,"featuredImage":1440,"featuredImageAlt":1441,"featuredImageCaption":14,"featuredImageTitle":14,"featuredImageCopyright":14,"featuredImageAuthor":14,"featuredImageSourceUrl":14,"featuredImageLicense":14,"featuredImageIsAiGenerated":1245,"status":1442,"publishedAt":1443,"createdAt":1444,"updatedAt":1445,"seoLocalePaths":1446,"categories":1455,"author":1476,"translations":1480},"452","NVIDIA G-Assist ist nicht nur ein Chatbot: Wie sein lokales SLM, seine Tools, Plug-ins und MCP tatsächlich funktionieren","nvidia-g-assist-is-not-just-a-chatbot-how-its-local-slm-tools-plug-ins-and-mcp-actually-work","\u003Cp>NVIDIA Project G-Assist sieht aus wie ein Chatbot, aber diese Beschreibung verfehlt den wichtigen Teil. Es ist ein lokales KI-System, das eine Anfrage verstehen, den unterstützten PC-Zustand überprüfen, ein Tool oder Plug-in auswählen und dann eine echte Aktion ausführen kann, wie das Ändern von DLSS-Einstellungen, das Überprüfen eines Treibers, das Anpassen eines Lüfterprofils oder das Steuern eines Peripheriegeräts.\u003C\u002Fp>\n\u003Caside class=\"editorjs-callout editorjs-callout--info my-6 rounded-xl border p-5 border-blue-300 bg-blue-50 dark:border-blue-900 dark:bg-blue-950\u002F20\" role=\"note\">\u003Cstrong class=\"block mb-2 text-gray-900 dark:text-gray-100\">Direkte Antwort\u003C\u002Fstrong>\u003Cdiv class=\"text-gray-700 dark:text-gray-200\">\u003Cstrong>G-Assist ist nicht einfach ein Chatbot für deine GPU.\u003C\u002Fstrong> Es ist ein lokales kleines Sprachmodell, das mit einer Reihe erlaubter Tools verbunden ist. Das Modell interpretiert, was du willst, wählt eine unterstützte Funktion aus, übergibt Argumente an diese Funktion, und das PC-seitige Tool führt die Aktion aus.\u003C\u002Fdiv>\u003C\u002Faside>\n\u003Caside class=\"editorjs-callout editorjs-callout--note my-6 rounded-xl border p-5 border-gray-300 bg-gray-50 dark:border-gray-700 dark:bg-gray-900\u002F40\" role=\"note\">\u003Cstrong class=\"block mb-2 text-gray-900 dark:text-gray-100\">Das einfachste mentale Modell\u003C\u002Fstrong>\u003Cdiv class=\"text-gray-700 dark:text-gray-200\">\u003Cstrong>SLM = versteht die Anfrage.\u003C\u002Fstrong>\u003Cbr>\u003Cstrong>Wissen = erklärt unterstützte NVIDIA\u002FPC-Konzepte.\u003C\u002Fstrong>\u003Cbr>\u003Cstrong>Tools = führen Aktionen aus.\u003C\u002Fstrong>\u003Cbr>\u003Cstrong>Plug-ins = fügen neue Tools hinzu.\u003C\u002Fstrong>\u003Cbr>\u003Cstrong>Dein PC = die Umgebung, die inspiziert oder verändert wird.\u003C\u002Fstrong>\u003C\u002Fdiv>\u003C\u002Faside>\n\u003Cnav class=\"editorjs-toc\" data-editorjs-toc=\"true\" aria-label=\"Inhalt\">\u003Cstrong class=\"editorjs-toc__title\">Inhalt\u003C\u002Fstrong>\u003Col class=\"editorjs-toc__list editorjs-toc__list--depth-0\">\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-5\" class=\"editorjs-toc__link\">Zuerst: Was macht das KI-Modell eigentlich?\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-10\" class=\"editorjs-toc__link\">Die G-Assist-Aktionspipeline\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-12\" class=\"editorjs-toc__link\">Das ist Tool-Aufruf, keine magische PC-Steuerung\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-17\" class=\"editorjs-toc__link\">Was ist die Wissensschicht?\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-24\" class=\"editorjs-toc__link\">Verwendet G-Assist RAG?\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-28\" class=\"editorjs-toc__link\">Warum G-Assist offline funktionieren kann\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-33\" class=\"editorjs-toc__link\">Die Kosten lokaler KI: G-Assist nutzt Ihre GPU und VRAM\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-40\" class=\"editorjs-toc__link\">Reasoning-Modus vs. Flash-Modus\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-44\" class=\"editorjs-toc__link\">Was Plug-ins tatsächlich hinzufügen\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-49\" class=\"editorjs-toc__link\">G-Assist Protocol V2 ist JSON-RPC 2.0\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-54\" class=\"editorjs-toc__link\">Wo MCP ins Spiel kommt\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-59\" class=\"editorjs-toc__link\">Warum das über RGB-Beleuchtung hinaus wichtig ist\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-63\" class=\"editorjs-toc__link\">Der lokale Agenten-Stack\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-65\" class=\"editorjs-toc__link\">Warum Tool-Grenzen ein Sicherheitsmerkmal sind\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-70\" class=\"editorjs-toc__link\">Die Tool-Autoritätsgrenze\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-72\" class=\"editorjs-toc__link\">Warum G-Assist die Spielleistung vorübergehend verringern kann\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-77\" class=\"editorjs-toc__link\">Der lokale Assistenten-Ressourcentest\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-79\" class=\"editorjs-toc__link\">Warum Plug-ins die gleiche Prüfung verdienen wie jede andere Software\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-84\" class=\"editorjs-toc__link\">G-Assist ist eher ein Agent als ein Chatbot\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-89\" class=\"editorjs-toc__link\">Was G-Assist immer noch nicht ist\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-93\" class=\"editorjs-toc__link\">Was hat sich in den aktuellen Versionen geändert?\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-96\" class=\"editorjs-toc__link\">Was würde diese Antwort ändern?\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-100\" class=\"editorjs-toc__link\">Einschränkungen\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-104\" class=\"editorjs-toc__link\">Fazit\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-109\" class=\"editorjs-toc__link\">FAQ\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-111\" class=\"editorjs-toc__link\">Glossar\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-113\" class=\"editorjs-toc__link\">Primärquellen\u003C\u002Fa>\u003C\u002Fli>\u003C\u002Fol>\u003C\u002Fnav>\n\u003Ch2 id=\"section-5\">Zuerst: Was macht das KI-Modell eigentlich?\u003C\u002Fh2>\n\u003Cp>G-Assist verwendet ein lokales kleines Sprachmodell, oder SLM. NVIDIA beschreibt das System derzeit als ein Llama-basiertes Instruct-Modell mit 8 Milliarden Parametern.\u003C\u002Fp>\n\u003Cp>Die Hauptaufgabe des Modells ist nicht, Grafiken zu rendern oder direkt Hardware-Register zu ändern. Seine Aufgabe ist es, die Sprache des Benutzers zu verstehen, zu entscheiden, welche unterstützte Fähigkeit zur Anfrage passt, und den Aufruf dieser Fähigkeit vorzubereiten.\u003C\u002Fp>\n\u003Cp>Wenn du zum Beispiel sagst „Setze DLSS Super Resolution auf Performance-Modus“, ändert das Sprachmodell nicht selbst DLSS. Es interpretiert den Befehl und leitet ihn an die unterstützte Funktion weiter, die die Einstellung ändern kann.\u003C\u002Fp>\n\u003Caside class=\"editorjs-callout editorjs-callout--success my-6 rounded-xl border p-5 border-emerald-300 bg-emerald-50 dark:border-emerald-900 dark:bg-emerald-950\u002F20\" role=\"note\">\u003Cstrong class=\"block mb-2 text-gray-900 dark:text-gray-100\">Die wichtige Unterscheidung\u003C\u002Fstrong>\u003Cdiv class=\"text-gray-700 dark:text-gray-200\">Das KI-Modell \u003Cstrong>entscheidet, welches Tool aufgerufen wird\u003C\u002Fstrong>. Das Tool \u003Cstrong>erledigt die eigentliche Arbeit\u003C\u002Fstrong>.\u003C\u002Fdiv>\u003C\u002Faside>\n\u003Ch2 id=\"section-10\">Die G-Assist-Aktionspipeline\u003C\u002Fh2>\n\u003Csection class=\"editorjs-process my-6\">\u003Ch3 class=\"mb-3 text-lg font-semibold\">Was passiert, nachdem du G-Assist einen Befehl gegeben hast\u003C\u002Fh3>\u003Cdiv class=\"grid grid-cols-1 md:grid-cols-2 xl:grid-cols-3 gap-4\">\u003Cdiv class=\"editorjs-process__step min-w-0  rounded-xl border border-gray-200 dark:border-gray-700 p-4\">\u003Cdiv class=\"text-xs font-semibold text-gray-500 dark:text-gray-400\">1\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 font-semibold text-gray-900 dark:text-gray-100\">1. Du gibst eine Anfrage in natürlicher Sprache\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Zum Beispiel: „Optimiere dieses Spiel für Leistung.“\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cdiv class=\"editorjs-process__step min-w-0  rounded-xl border border-gray-200 dark:border-gray-700 p-4\">\u003Cdiv class=\"text-xs font-semibold text-gray-500 dark:text-gray-400\">2\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 font-semibold text-gray-900 dark:text-gray-100\">2. Das lokale SLM interpretiert die Anfrage\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Es bestimmt die Absicht des Benutzers und identifiziert, welche unterstützte Funktion oder welches Plug-in relevant ist.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cdiv class=\"editorjs-process__step min-w-0  rounded-xl border border-gray-200 dark:border-gray-700 p-4\">\u003Cdiv class=\"text-xs font-semibold text-gray-500 dark:text-gray-400\">3\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 font-semibold text-gray-900 dark:text-gray-100\">3. Das System wählt ein Tool\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Das könnte eine integrierte Grafik-Einstellungsfunktion, Treiberprüfung, Überwachungsfunktion oder ein Community-Plug-in sein.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cdiv class=\"editorjs-process__step min-w-0  rounded-xl border border-gray-200 dark:border-gray-700 p-4\">\u003Cdiv class=\"text-xs font-semibold text-gray-500 dark:text-gray-400\">4\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 font-semibold text-gray-900 dark:text-gray-100\">4. Argumente werden extrahiert\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Das Modell wandelt die Anfrage in strukturierte Werte um, wie Spielname, Modus, Lüfterprofil oder DLSS-Einstellung.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cdiv class=\"editorjs-process__step min-w-0  rounded-xl border border-gray-200 dark:border-gray-700 p-4\">\u003Cdiv class=\"text-xs font-semibold text-gray-500 dark:text-gray-400\">5\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 font-semibold text-gray-900 dark:text-gray-100\">5. Das Tool führt aus\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Das Tool kommuniziert mit der NVIDIA App, dem Betriebssystem, der Peripheriesoftware oder einem anderen Dienst.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cdiv class=\"editorjs-process__step min-w-0  rounded-xl border border-gray-200 dark:border-gray-700 p-4\">\u003Cdiv class=\"text-xs font-semibold text-gray-500 dark:text-gray-400\">6\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 font-semibold text-gray-900 dark:text-gray-100\">6. Das Ergebnis wird zurückgegeben\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">G-Assist meldet, was passiert ist, oder gibt Daten zurück, die das Modell erklären kann.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003C\u002Fdiv>\u003C\u002Fsection>\n\u003Ch2 id=\"section-12\">Das ist Tool-Aufruf, keine magische PC-Steuerung\u003C\u002Fh2>\n\u003Cp>Ein Sprachmodell kann einen beliebigen Computer nicht sicher steuern, nur weil es Englisch versteht.\u003C\u002Fp>\n\u003Cp>Es braucht eine definierte Schnittstelle, die angibt, welche Aktionen existieren, welche Argumente sie akzeptieren und was das Tool zurückgibt.\u003C\u002Fp>\n\u003Cp>Zu den aktuellen integrierten Fähigkeiten von G-Assist gehören Funktionen wie das Optimieren von Grafikeinstellungen, das Ändern unterstützter RTX-Optionen, das Überprüfen oder Herunterladen von Treibern, das Anzeigen von Leistungsinformationen, das Ändern einiger Laptop-Energiefunktionen, das Steuern unterstützter Monitorfunktionen und die Verwendung unterstützter Peripherie-Plug-ins.\u003C\u002Fp>\n\u003Csection class=\"editorjs-comparison my-6\">\u003Ch3 class=\"mb-3 text-lg font-semibold\">Sprachmodell vs. Tool\u003C\u002Fh3>\u003Cdiv class=\"overflow-x-auto\">\u003Ctable class=\"w-full border-collapse\">\u003Cthead>\u003Ctr>\u003Cth class=\"border border-gray-300 bg-gray-50 px-4 py-3 text-left dark:border-gray-700 dark:bg-gray-900\">\u003C\u002Fth>\u003Cth class=\"border border-gray-300 bg-gray-50 px-4 py-3 text-left font-semibold dark:border-gray-700 dark:bg-gray-900\">Sprachmodell\u003C\u002Fth>\u003Cth class=\"border border-gray-300 bg-gray-50 px-4 py-3 text-left font-semibold dark:border-gray-700 dark:bg-gray-900\">Tool \u002F Plug-in\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Cth class=\"border border-gray-300 px-4 py-3 text-left font-semibold dark:border-gray-700\">„DLSS einschalten“ verstehen\u003C\u002Fth>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Cth class=\"border border-gray-300 px-4 py-3 text-left font-semibold dark:border-gray-700\">Die richtige Funktion auswählen\u003C\u002Fth>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Cth class=\"border border-gray-300 px-4 py-3 text-left font-semibold dark:border-gray-700\">Die Einstellung tatsächlich ändern\u003C\u002Fth>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Cth class=\"border border-gray-300 px-4 py-3 text-left font-semibold dark:border-gray-700\">Das Ergebnis erklären\u003C\u002Fth>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003C\u002Fdiv>\u003C\u002Fsection>\n\u003Ch2 id=\"section-17\">Was ist die Wissensschicht?\u003C\u002Fh2>\n\u003Cp>G-Assist hat auch eine Wissensschicht, um Fragen zu beantworten und Empfehlungen zu geben.\u003C\u002Fp>\n\u003Cp>NVIDIA gibt an, dass Version 0.2.1 ein verbessertes Wissenssystem eingeführt hat, das G-Assist dabei hilft, genauere Einstellungsempfehlungen zu geben.\u003C\u002Fp>\n\u003Cp>Diese Wissensebene unterscheidet sich vom Live-Zustand Ihres PCs.\u003C\u002Fp>\n\u003Csection class=\"editorjs-comparison my-6\">\u003Ch3 class=\"mb-3 text-lg font-semibold\">Wissen vs. Live-PC-Zustand\u003C\u002Fh3>\u003Cdiv class=\"overflow-x-auto\">\u003Ctable class=\"w-full border-collapse\">\u003Cthead>\u003Ctr>\u003Cth class=\"border border-gray-300 bg-gray-50 px-4 py-3 text-left dark:border-gray-700 dark:bg-gray-900\">\u003C\u002Fth>\u003Cth class=\"border border-gray-300 bg-gray-50 px-4 py-3 text-left font-semibold dark:border-gray-700 dark:bg-gray-900\">Wissen\u003C\u002Fth>\u003Cth class=\"border border-gray-300 bg-gray-50 px-4 py-3 text-left font-semibold dark:border-gray-700 dark:bg-gray-900\">Live-Zustand\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Cth class=\"border border-gray-300 px-4 py-3 text-left font-semibold dark:border-gray-700\">GPU\u003C\u002Fth>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Cth class=\"border border-gray-300 px-4 py-3 text-left font-semibold dark:border-gray-700\">Spieleinstellungen\u003C\u002Fth>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Cth class=\"border border-gray-300 px-4 py-3 text-left font-semibold dark:border-gray-700\">Leistung\u003C\u002Fth>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003C\u002Fdiv>\u003C\u002Fsection>\n\u003Caside class=\"editorjs-callout editorjs-callout--warning my-6 rounded-xl border p-5 border-amber-300 bg-amber-50 dark:border-amber-900 dark:bg-amber-950\u002F20\" role=\"note\">\u003Cstrong class=\"block mb-2 text-gray-900 dark:text-gray-100\">Wissen nicht mit Zustand verwechseln\u003C\u002Fstrong>\u003Cdiv class=\"text-gray-700 dark:text-gray-200\">\u003Cstrong>Wissen\u003C\u002Fstrong> sagt dem Assistenten, was eine Funktion bedeutet oder was normalerweise wichtig ist.\u003Cbr>\u003Cstrong>Zustand\u003C\u002Fstrong> sagt ihm, was auf Ihrem Rechner gerade jetzt zutrifft.\u003C\u002Fdiv>\u003C\u002Faside>\n\u003Caside class=\"editorjs-referral my-6\">\u003Ca href=\"https:\u002F\u002Fstajic.de\u002Fblog\u002Fwhat-is-rag-the-simplest-explanation-of-how-it-works\" target=\"_blank\" rel=\"noopener noreferrer\" class=\"flex flex-col sm:flex-row gap-4 rounded-xl border border-gray-200 dark:border-gray-700 p-4 transition hover:border-primary-500\">\u003Cdiv class=\"min-w-0 flex-1\">\u003Cstrong class=\"block text-lg text-gray-900 dark:text-gray-100\">Was ist RAG? Die einfachste Erklärung, wie es funktioniert\u003C\u002Fstrong>\u003Cp class=\"mt-2 text-sm text-gray-600 dark:text-gray-300\">Eine allgemein verständliche Erklärung von Wissensabruf, Zustand, Gedächtnis, Kontext und dem Sprachmodell.\u003C\u002Fp>\u003Cspan class=\"mt-3 inline-flex text-sm font-medium text-primary-600 dark:text-primary-400\">Lesen Sie den einfachen RAG-Leitfaden →\u003C\u002Fspan>\u003C\u002Fdiv>\u003C\u002Fa>\u003C\u002Faside>\n\u003Ch2 id=\"section-24\">Verwendet G-Assist RAG?\u003C\u002Fh2>\n\u003Cp>Die sicherste Antwort ist: G-Assist hat eindeutig ein Wissenssystem, aber die öffentliche Produktseite von NVIDIA dokumentiert nicht jeden internen Abrufmechanismus detailliert genug, um sagen zu können, dass jede Wissensantwort speziell durch RAG erzeugt wird.\u003C\u002Fp>\n\u003Cp>Die architektonische Unterscheidung ist dennoch wichtig. Eine Abrufebene kann relevantes Wissen bereitstellen, während Systemtools den aktuellen PC-Zustand liefern und Aktionen ausführen.\u003C\u002Fp>\n\u003Cp>Das ist dieselbe Trennung, die in vielen modernen Agenten verwendet wird: Wissen ist eine Kontextquelle, Live-Beobachtungen sind eine andere und Tool-Ausführung ist eine dritte.\u003C\u002Fp>\n\u003Ch2 id=\"section-28\">Warum G-Assist offline funktionieren kann\u003C\u002Fh2>\n\u003Cp>NVIDIA führt das Sprachmodell lokal auf der GeForce RTX GPU aus.\u003C\u002Fp>\n\u003Cp>Das bedeutet, dass der Kernassistent nicht für jede Eingabe ein cloud-gehostetes Sprachmodell benötigt.\u003C\u002Fp>\n\u003Cp>NVIDIA sagt ausdrücklich, dass G-Assist für seine lokalen Fähigkeiten offline ausgeführt werden kann.\u003C\u002Fp>\n\u003Cp>Ein Plug-in kann weiterhin das Internet nutzen, wenn dieses Plug-in einen Online-Dienst aufruft. Lokale Modellausführung und Online-Plug-in-Zugriff sind separate Fragen.\u003C\u002Fp>\n\u003Ch2 id=\"section-33\">Die Kosten lokaler KI: G-Assist nutzt Ihre GPU und VRAM\u003C\u002Fh2>\n\u003Cp>Lokale Ausführung bietet Privatsphäre und Unabhängigkeit von einem Cloud-Modell, aber die Arbeit muss irgendwo ausgeführt werden.\u003C\u002Fp>\n\u003Cp>Für G-Assist ist dieses Irgendwo dieselbe GeForce RTX GPU, die möglicherweise bereits Ihr Spiel rendert.\u003C\u002Fp>\n\u003Cp>NVIDIA warnt, dass die GPU kurzzeitig Rechenressourcen für die KI-Inferenz zuweist, wenn G-Assist antwortet. Wenn gleichzeitig ein anspruchsvolles Spiel läuft, kann das Spiel vorübergehend etwas Rendering-Leistung verlieren, während das Modell aktiv ist.\u003C\u002Fp>\n\u003Cp>Die aktuellen Anforderungen spezifizieren auch Ziele für freien VRAM-Speicher, der über den bereits vom Spiel genutzten Speicher hinausgeht: etwa 6 GB freier VRAM für den Reasoning-Modus und 4,5 GB für den Flash-Modus.\u003C\u002Fp>\n\u003Caside class=\"editorjs-callout editorjs-callout--warning my-6 rounded-xl border p-5 border-amber-300 bg-amber-50 dark:border-amber-900 dark:bg-amber-950\u002F20\" role=\"note\">\u003Cstrong class=\"block mb-2 text-gray-900 dark:text-gray-100\">8 GB VRAM bedeutet nicht, dass 8 GB für G-Assist verfügbar sind\u003C\u002Fstrong>\u003Cdiv class=\"text-gray-700 dark:text-gray-200\">Das Spiel, Windows, der Treiber und andere Anwendungen verbrauchen bereits VRAM. Die Anforderung von G-Assist bezieht sich auf \u003Cstrong>freien VRAM zusätzlich zu dem, was die laufende Arbeitslast bereits verwendet\u003C\u002Fstrong>.\u003C\u002Fdiv>\u003C\u002Faside>\n\u003Caside class=\"editorjs-referral my-6\">\u003Ca href=\"https:\u002F\u002Ffigure.rocks\u002Fde\u002Fblog\u002Fvram-usage-is-not-vram-requirement-why-a-full-memory-meter-does-not-tell-the-whole-story\" class=\"flex flex-col sm:flex-row gap-4 rounded-xl border border-gray-200 dark:border-gray-700 p-4 transition hover:border-primary-500\">\u003Cdiv class=\"min-w-0 flex-1\">\u003Cstrong class=\"block text-lg text-gray-900 dark:text-gray-100\">VRAM-Nutzung ist keine VRAM-Anforderung: Warum ein voller Speicherbalken nicht die ganze Geschichte erzählt\u003C\u002Fstrong>\u003Cp class=\"mt-2 text-sm text-gray-600 dark:text-gray-300\">Warum installierter VRAM, aktuelle Nutzung, Residenzbudgets und tatsächlicher Speicherdruck verschiedene Dinge sind.\u003C\u002Fp>\u003Cspan class=\"mt-3 inline-flex text-sm font-medium text-primary-600 dark:text-primary-400\">VRAM-Leitfaden lesen →\u003C\u002Fspan>\u003C\u002Fdiv>\u003C\u002Fa>\u003C\u002Faside>\n\u003Ch2 id=\"section-40\">Reasoning-Modus vs. Flash-Modus\u003C\u002Fh2>\n\u003Cp>Aktuelle G-Assist-Versionen trennen einen leistungsfähigeren Reasoning-Modus von einem schnelleren Flash-Modus.\u003C\u002Fp>\n\u003Cp>Der Reasoning-Modus ist für Entscheidungen mit höherer Qualität ausgelegt und kann mehrere Aktionen aus einer Eingabeaufforderung koordinieren. Der Flash-Modus ist für schnellere Antworten und geringeren Ressourcenbedarf optimiert.\u003C\u002Fp>\n\u003Csection class=\"editorjs-comparison my-6\">\u003Ch3 class=\"mb-3 text-lg font-semibold\">Reasoning-Modus vs. Flash-Modus\u003C\u002Fh3>\u003Cdiv class=\"overflow-x-auto\">\u003Ctable class=\"w-full border-collapse\">\u003Cthead>\u003Ctr>\u003Cth class=\"border border-gray-300 bg-gray-50 px-4 py-3 text-left dark:border-gray-700 dark:bg-gray-900\">\u003C\u002Fth>\u003Cth class=\"border border-gray-300 bg-gray-50 px-4 py-3 text-left font-semibold dark:border-gray-700 dark:bg-gray-900\">Reasoning-Modus\u003C\u002Fth>\u003Cth class=\"border border-gray-300 bg-gray-50 px-4 py-3 text-left font-semibold dark:border-gray-700 dark:bg-gray-900\">Flash-Modus\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Cth class=\"border border-gray-300 px-4 py-3 text-left font-semibold dark:border-gray-700\">Hauptziel\u003C\u002Fth>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Cth class=\"border border-gray-300 px-4 py-3 text-left font-semibold dark:border-gray-700\">Empfohlener freier VRAM\u003C\u002Fth>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Cth class=\"border border-gray-300 px-4 py-3 text-left font-semibold dark:border-gray-700\">Am besten geeignet für\u003C\u002Fth>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003C\u002Fdiv>\u003C\u002Fsection>\n\u003Ch2 id=\"section-44\">Was Plug-ins tatsächlich hinzufügen\u003C\u002Fh2>\n\u003Cp>Ein Plug-in ersetzt nicht das Sprachmodell. Es gibt dem Modell eine neue Aktion, die es aufrufen darf.\u003C\u002Fp>\n\u003Cp>Das Plug-in definiert Funktionen, Beschreibungen und Parameter. G-Assist liest diese Beschreibungen, ordnet eine Benutzeranfrage der entsprechenden Funktion zu und sendet strukturierte Argumente an sie.\u003C\u002Fp>\n\u003Cp>Dadurch kann der Assistent über die integrierten Funktionen von NVIDIA hinauswachsen.\u003C\u002Fp>\n\u003Csection class=\"editorjs-process my-6\">\u003Ch3 class=\"mb-3 text-lg font-semibold\">Wie ein G-Assist-Plug-in funktioniert\u003C\u002Fh3>\u003Cdiv class=\"grid grid-cols-1 md:grid-cols-2 xl:grid-cols-3 gap-4\">\u003Cdiv class=\"editorjs-process__step min-w-0  rounded-xl border border-gray-200 dark:border-gray-700 p-4\">\u003Cdiv class=\"text-xs font-semibold text-gray-500 dark:text-gray-400\">1\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 font-semibold text-gray-900 dark:text-gray-100\">1. Plug-in deklariert eine Funktion\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Zum Beispiel: set_keyboard_color(color).\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cdiv class=\"editorjs-process__step min-w-0  rounded-xl border border-gray-200 dark:border-gray-700 p-4\">\u003Cdiv class=\"text-xs font-semibold text-gray-500 dark:text-gray-400\">2\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 font-semibold text-gray-900 dark:text-gray-100\">2. Manifest beschreibt die Funktion\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Das Manifest teilt G-Assist mit, was die Funktion tut und welche Parameter sie benötigt.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cdiv class=\"editorjs-process__step min-w-0  rounded-xl border border-gray-200 dark:border-gray-700 p-4\">\u003Cdiv class=\"text-xs font-semibold text-gray-500 dark:text-gray-400\">3\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 font-semibold text-gray-900 dark:text-gray-100\">3. Benutzer fragt natürlich\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Zum Beispiel: „Mach meine Tastatur grün.“\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cdiv class=\"editorjs-process__step min-w-0  rounded-xl border border-gray-200 dark:border-gray-700 p-4\">\u003Cdiv class=\"text-xs font-semibold text-gray-500 dark:text-gray-400\">4\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 font-semibold text-gray-900 dark:text-gray-100\">4. SLM wählt die Funktion aus\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Das Modell ordnet die Anfrage der Plug-in-Funktion zu und extrahiert Grün als Parameter.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cdiv class=\"editorjs-process__step min-w-0  rounded-xl border border-gray-200 dark:border-gray-700 p-4\">\u003Cdiv class=\"text-xs font-semibold text-gray-500 dark:text-gray-400\">5\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 font-semibold text-gray-900 dark:text-gray-100\">5. Plug-in führt aus\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Das Plug-in kommuniziert mit der Peripheriesoftware oder dem externen Dienst.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003C\u002Fdiv>\u003C\u002Fsection>\n\u003Ch2 id=\"section-49\">G-Assist Protocol V2 ist JSON-RPC 2.0\u003C\u002Fh2>\n\u003Cp>NVIDIAs aktuelles öffentliches Plug-in-Repository verwendet Protocol V2.\u003C\u002Fp>\n\u003Cp>Protocol V2 verwendet JSON-RPC 2.0 mit längenspezifizierten Nachrichten zwischen der G-Assist-Engine und Plug-ins.\u003C\u002Fp>\n\u003Cp>Die Engine kann ein Plug-in initialisieren, seinen Zustand überprüfen, eine Funktion ausführen, Benutzereingaben senden und es herunterfahren. Plug-ins können Ergebnisse zurückgeben, Fortschritt streamen oder Fehler melden.\u003C\u002Fp>\n\u003Csection class=\"editorjs-comparison my-6\">\u003Ch3 class=\"mb-3 text-lg font-semibold\">Die wichtigen Protocol V2-Nachrichten\u003C\u002Fh3>\u003Cdiv class=\"overflow-x-auto\">\u003Ctable class=\"w-full border-collapse\">\u003Cthead>\u003Ctr>\u003Cth class=\"border border-gray-300 bg-gray-50 px-4 py-3 text-left dark:border-gray-700 dark:bg-gray-900\">\u003C\u002Fth>\u003Cth class=\"border border-gray-300 bg-gray-50 px-4 py-3 text-left font-semibold dark:border-gray-700 dark:bg-gray-900\">Richtung\u003C\u002Fth>\u003Cth class=\"border border-gray-300 bg-gray-50 px-4 py-3 text-left font-semibold dark:border-gray-700 dark:bg-gray-900\">Zweck\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Cth class=\"border border-gray-300 px-4 py-3 text-left font-semibold dark:border-gray-700\">initialize\u003C\u002Fth>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Cth class=\"border border-gray-300 px-4 py-3 text-left font-semibold dark:border-gray-700\">ping\u003C\u002Fth>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Cth class=\"border border-gray-300 px-4 py-3 text-left font-semibold dark:border-gray-700\">execute\u003C\u002Fth>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Cth class=\"border border-gray-300 px-4 py-3 text-left font-semibold dark:border-gray-700\">stream\u003C\u002Fth>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Cth class=\"border border-gray-300 px-4 py-3 text-left font-semibold dark:border-gray-700\">complete\u003C\u002Fth>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003C\u002Fdiv>\u003C\u002Fsection>\n\u003Ch2 id=\"section-54\">Wo MCP ins Spiel kommt\u003C\u002Fh2>\n\u003Cp>Das eigene Plug-in-Protokoll von G-Assist ist nicht MCP. Sein aktuelles öffentliches Plug-in-System verwendet JSON-RPC 2.0.\u003C\u002Fp>\n\u003Cp>Ein G-Assist-Plug-in kann jedoch eine Verbindung zu einem MCP-Server herstellen.\u003C\u002Fp>\n\u003Cp>NVIDIAs aktuelle Version 0.2.2 enthält eine Elgato-Integration, die Aktionen aufrufen kann, die über den Elgato Stream Deck MCP-Server bereitgestellt werden.\u003C\u002Fp>\n\u003Caside class=\"editorjs-callout editorjs-callout--success my-6 rounded-xl border p-5 border-emerald-300 bg-emerald-50 dark:border-emerald-900 dark:bg-emerald-950\u002F20\" role=\"note\">\u003Cstrong class=\"block mb-2 text-gray-900 dark:text-gray-100\">Wichtige Protokollunterscheidung\u003C\u002Fstrong>\u003Cdiv class=\"text-gray-700 dark:text-gray-200\">\u003Cstrong>G-Assist ↔ sein Plug-in:\u003C\u002Fstrong> NVIDIA Protocol V2 \u002F JSON-RPC 2.0.\u003Cbr>\u003Cstrong>Plug-in ↔ ein anderes Tool-Ökosystem:\u003C\u002Fstrong> kann MCP verwenden, wenn diese Integration es unterstützt.\u003C\u002Fdiv>\u003C\u002Faside>\n\u003Ch2 id=\"section-59\">Warum das über RGB-Beleuchtung hinaus wichtig ist\u003C\u002Fh2>\n\u003Cp>Die Plug-in-Architektur macht G-Assist von einem festen Assistenten zu einem lokalen Tool-Router.\u003C\u002Fp>\n\u003Cp>Dasselbe Muster kann ein SLM mit Überwachungstools, Peripheriegeräten, APIs, Automatisierungssystemen, lokalen Anwendungen oder externen Diensten verbinden.\u003C\u002Fp>\n\u003Cp>Die wichtige architektonische Einheit ist daher nicht das Chat-Fenster. Es ist die Grenze zwischen natürlichsprachlicher Absicht und strukturierter Tool-Ausführung.\u003C\u002Fp>\n\u003Ch2 id=\"section-63\">Der lokale Agenten-Stack\u003C\u002Fh2>\n\u003Csection class=\"editorjs-process my-6\">\u003Ch3 class=\"mb-3 text-lg font-semibold\">Eine nützliche Art, über G-Assist nachzudenken\u003C\u002Fh3>\u003Cdiv class=\"grid grid-cols-1 md:grid-cols-2 xl:grid-cols-3 gap-4\">\u003Cdiv class=\"editorjs-process__step min-w-0  rounded-xl border border-gray-200 dark:border-gray-700 p-4\">\u003Cdiv class=\"text-xs font-semibold text-gray-500 dark:text-gray-400\">1\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 font-semibold text-gray-900 dark:text-gray-100\">1. Benutzerabsicht\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Natürlichsprachlicher oder Sprachbefehl.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cdiv class=\"editorjs-process__step min-w-0  rounded-xl border border-gray-200 dark:border-gray-700 p-4\">\u003Cdiv class=\"text-xs font-semibold text-gray-500 dark:text-gray-400\">2\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 font-semibold text-gray-900 dark:text-gray-100\">2. Lokales SLM\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Versteht die Anfrage und wählt eine Fähigkeit aus.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cdiv class=\"editorjs-process__step min-w-0  rounded-xl border border-gray-200 dark:border-gray-700 p-4\">\u003Cdiv class=\"text-xs font-semibold text-gray-500 dark:text-gray-400\">3\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 font-semibold text-gray-900 dark:text-gray-100\">3. Wissen \u002F Kontext\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Stellt Produktwissen, Empfehlungen oder Informationen bereit, die für die Entscheidung benötigt werden.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cdiv class=\"editorjs-process__step min-w-0  rounded-xl border border-gray-200 dark:border-gray-700 p-4\">\u003Cdiv class=\"text-xs font-semibold text-gray-500 dark:text-gray-400\">4\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 font-semibold text-gray-900 dark:text-gray-100\">4. Live-Systemzustand\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Stellt bei Unterstützung aktuelle Hardware-, Treiber-, Leistungs- oder Konfigurationsinformationen bereit.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cdiv class=\"editorjs-process__step min-w-0  rounded-xl border border-gray-200 dark:border-gray-700 p-4\">\u003Cdiv class=\"text-xs font-semibold text-gray-500 dark:text-gray-400\">5\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 font-semibold text-gray-900 dark:text-gray-100\">5. Tool-Auswahl\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Eine integrierte Funktion oder ein Plug-in wird ausgewählt.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cdiv class=\"editorjs-process__step min-w-0  rounded-xl border border-gray-200 dark:border-gray-700 p-4\">\u003Cdiv class=\"text-xs font-semibold text-gray-500 dark:text-gray-400\">6\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 font-semibold text-gray-900 dark:text-gray-100\">6. Strukturierte Ausführung\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Die Funktion erhält Argumente und führt die eigentliche Aktion aus.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cdiv class=\"editorjs-process__step min-w-0  rounded-xl border border-gray-200 dark:border-gray-700 p-4\">\u003Cdiv class=\"text-xs font-semibold text-gray-500 dark:text-gray-400\">7\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 font-semibold text-gray-900 dark:text-gray-100\">7. Ergebnisüberprüfung\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Das Tool gibt Status oder Daten zurück und das Modell erklärt, was passiert ist.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003C\u002Fdiv>\u003C\u002Fsection>\n\u003Ch2 id=\"section-65\">Warum Tool-Grenzen ein Sicherheitsmerkmal sind\u003C\u002Fh2>\n\u003Cp>Ein KI-Assistent, der beliebige Betriebssystembefehle ausführen könnte, wäre weitaus mächtiger, aber auch viel schwerer einzuschränken.\u003C\u002Fp>\n\u003Cp>G-Assist stellt stattdessen definierte Funktionen mit bekannten Parametern bereit.\u003C\u002Fp>\n\u003Cp>Das bedeutet, dass das Modell nur Aktionen ausführen kann, die der integrierte Funktionsumfang oder installierte Plug-ins verfügbar machen.\u003C\u002Fp>\n\u003Cp>Dies beseitigt nicht alle Risiken, insbesondere bei Plug-ins von Drittanbietern, aber es schafft eine klarere Berechtigungs- und Fähigkeitsgrenze als uneingeschränkter Shell-Zugriff.\u003C\u002Fp>\n\u003Ch2 id=\"section-70\">Die Tool-Autoritätsgrenze\u003C\u002Fh2>\n\u003Csection class=\"editorjs-comparison my-6\">\u003Ch3 class=\"mb-3 text-lg font-semibold\">Was der Assistent verstehen kann vs. was er tun darf\u003C\u002Fh3>\u003Cdiv class=\"overflow-x-auto\">\u003Ctable class=\"w-full border-collapse\">\u003Cthead>\u003Ctr>\u003Cth class=\"border border-gray-300 bg-gray-50 px-4 py-3 text-left dark:border-gray-700 dark:bg-gray-900\">\u003C\u002Fth>\u003Cth class=\"border border-gray-300 bg-gray-50 px-4 py-3 text-left font-semibold dark:border-gray-700 dark:bg-gray-900\">Modell kann verstehen\u003C\u002Fth>\u003Cth class=\"border border-gray-300 bg-gray-50 px-4 py-3 text-left font-semibold dark:border-gray-700 dark:bg-gray-900\">Tool-Autorität\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Cth class=\"border border-gray-300 px-4 py-3 text-left font-semibold dark:border-gray-700\">GPU-Tuning\u003C\u002Fth>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Cth class=\"border border-gray-300 px-4 py-3 text-left font-semibold dark:border-gray-700\">Dateien\u003C\u002Fth>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Cth class=\"border border-gray-300 px-4 py-3 text-left font-semibold dark:border-gray-700\">Internet\u003C\u002Fth>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Cth class=\"border border-gray-300 px-4 py-3 text-left font-semibold dark:border-gray-700\">Peripheriesteuerung\u003C\u002Fth>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003C\u002Fdiv>\u003C\u002Fsection>\n\u003Ch2 id=\"section-72\">Warum G-Assist die Spielleistung vorübergehend verringern kann\u003C\u002Fh2>\n\u003Cp>Die lokale Modellarchitektur hat eine einfache Konsequenz: Die KI und das Spiel können um dieselbe GPU konkurrieren.\u003C\u002Fp>\n\u003Cp>NVIDIA warnt ausdrücklich davor, dass die Bildrate oder die Inferenzgeschwindigkeit kurzzeitig sinken kann, während G-Assist eine Anfrage während einer GPU-intensiven Arbeitslast verarbeitet.\u003C\u002Fp>\n\u003Cp>Sobald die Inferenz abgeschlossen ist, werden diese GPU-Ressourcen an das Spiel zurückgegeben.\u003C\u002Fp>\n\u003Cp>Dies unterscheidet sich von einem Cloud-Assistenten, bei dem die meiste Modellinferenz auf einem Remote-Server stattfindet und nicht die Gaming-GPU beansprucht.\u003C\u002Fp>\n\u003Ch2 id=\"section-77\">Der lokale Assistenten-Ressourcentest\u003C\u002Fh2>\n\u003Csection class=\"editorjs-process my-6\">\u003Ch3 class=\"mb-3 text-lg font-semibold\">Wie man beurteilt, ob ein lokaler Gaming-Assistent zu Ihrem PC passt\u003C\u002Fh3>\u003Cdiv class=\"grid grid-cols-1 md:grid-cols-2 xl:grid-cols-3 gap-4\">\u003Cdiv class=\"editorjs-process__step min-w-0  rounded-xl border border-gray-200 dark:border-gray-700 p-4\">\u003Cdiv class=\"text-xs font-semibold text-gray-500 dark:text-gray-400\">1\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 font-semibold text-gray-900 dark:text-gray-100\">1. Installierten VRAM prüfen\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Die aktuelle G-Assist-Basis ist eine RTX-GPU mit mindestens 6 GB VRAM.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cdiv class=\"editorjs-process__step min-w-0  rounded-xl border border-gray-200 dark:border-gray-700 p-4\">\u003Cdiv class=\"text-xs font-semibold text-gray-500 dark:text-gray-400\">2\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 font-semibold text-gray-900 dark:text-gray-100\">2. Freien VRAM während des tatsächlichen Spiels prüfen\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Installierte Kapazität ist nicht dasselbe wie freie Kapazität.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cdiv class=\"editorjs-process__step min-w-0  rounded-xl border border-gray-200 dark:border-gray-700 p-4\">\u003Cdiv class=\"text-xs font-semibold text-gray-500 dark:text-gray-400\">3\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 font-semibold text-gray-900 dark:text-gray-100\">3. Reasoning- oder Flash-Modus entsprechend wählen\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Verwenden Sie den leichteren Modus, wenn Ressourcendruck wichtiger ist als tiefes Reasoning.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cdiv class=\"editorjs-process__step min-w-0  rounded-xl border border-gray-200 dark:border-gray-700 p-4\">\u003Cdiv class=\"text-xs font-semibold text-gray-500 dark:text-gray-400\">4\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 font-semibold text-gray-900 dark:text-gray-100\">4. Bildrateneinbrüche während der Inferenz messen\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Beobachten Sie das Spiel, während Sie G-Assist bitten, Aufgaben auszuführen.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cdiv class=\"editorjs-process__step min-w-0  rounded-xl border border-gray-200 dark:border-gray-700 p-4\">\u003Cdiv class=\"text-xs font-semibold text-gray-500 dark:text-gray-400\">5\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 font-semibold text-gray-900 dark:text-gray-100\">5. Tool-Berechtigungen prüfen\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Wissen Sie genau, welche integrierten Funktionen und Plug-ins Ihr System ändern können.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cdiv class=\"editorjs-process__step min-w-0  rounded-xl border border-gray-200 dark:border-gray-700 p-4\">\u003Cdiv class=\"text-xs font-semibold text-gray-500 dark:text-gray-400\">6\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 font-semibold text-gray-900 dark:text-gray-100\">6. Drittanbieter-Plug-ins wie Software behandeln\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Überprüfen Sie deren Quelle, Berechtigungen, Netzwerkzugriff und gespeicherte Anmeldeinformationen.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003C\u002Fdiv>\u003C\u002Fsection>\n\u003Ch2 id=\"section-79\">Warum Plug-ins die gleiche Prüfung verdienen wie jede andere Software\u003C\u002Fh2>\n\u003Cp>Ein Plug-in kann den Assistenten mit APIs, Peripherieanwendungen und Online-Diensten verbinden.\u003C\u002Fp>\n\u003Cp>Das bedeutet, dass ein Plug-in je nach Zweck Konfigurationswerte, Anmeldeinformationen oder externe Anfragen verarbeiten kann.\u003C\u002Fp>\n\u003Cp>NVIDIAs Repository bietet ausdrücklich einen config.json-Speicherort für Plug-in-Einstellungen und warnt Entwickler davor, Anmeldeinformationen zu committen.\u003C\u002Fp>\n\u003Cp>Die richtige Sicherheitsfrage ist daher nicht nur „Ist G-Assist lokal?“, sondern auch „Womit verbindet sich jedes installierte Plug-in?“\u003C\u002Fp>\n\u003Ch2 id=\"section-84\">G-Assist ist eher ein Agent als ein Chatbot\u003C\u002Fh2>\n\u003Cp>Ein Chatbot erzeugt hauptsächlich Sprache.\u003C\u002Fp>\n\u003Cp>Ein Agent interpretiert ein Ziel, beobachtet relevante Informationen, wählt eine Aktion, ruft ein Tool auf und bewertet das Ergebnis.\u003C\u002Fp>\n\u003Cp>G-Assist entspricht jetzt viel eher dieser zweiten Beschreibung, da es mehrere Aktionen koordinieren, den unterstützten PC-Zustand überprüfen und echte Tools aufrufen kann.\u003C\u002Fp>\n\u003Caside class=\"editorjs-referral my-6\">\u003Ca href=\"https:\u002F\u002Ffigure.rocks\u002Fde\u002Fblog\u002Fpubg-ally-shows-why-ai-teammates-need-two-brains-fast-reflexes-and-slow-reasoning\" class=\"flex flex-col sm:flex-row gap-4 rounded-xl border border-gray-200 dark:border-gray-700 p-4 transition hover:border-primary-500\">\u003Cdiv class=\"min-w-0 flex-1\">\u003Cstrong class=\"block text-lg text-gray-900 dark:text-gray-100\">PUBG Ally zeigt, warum KI-Teamkollegen zwei Gehirne brauchen: Schnelle Reflexe und langsames Reasoning\u003C\u002Fstrong>\u003Cp class=\"mt-2 text-sm text-gray-600 dark:text-gray-300\">Ein Beispiel für eine Spiel-Agent-Architektur, die die Trennung zwischen Reasoning, Live-Zustand, Tools und deterministischer Ausführung zeigt.\u003C\u002Fp>\u003Cspan class=\"mt-3 inline-flex text-sm font-medium text-primary-600 dark:text-primary-400\">Lesen Sie den PUBG Ally-Architekturleitfaden →\u003C\u002Fspan>\u003C\u002Fdiv>\u003C\u002Fa>\u003C\u002Faside>\n\u003Ch2 id=\"section-89\">Was G-Assist immer noch nicht ist\u003C\u002Fh2>\n\u003Cp>NVIDIA beschreibt G-Assist ausdrücklich als spezialisierten lokalen Assistenten, nicht als allgemeinen konversationellen KI.\u003C\u002Fp>\n\u003Cp>Sein Wert kommt aus dem Verständnis einer fokussierten Gruppe von PC- und Gaming-Aufgaben und der Verfügbarkeit von Werkzeugen, die mit diesen Aufgaben verbunden sind.\u003C\u002Fp>\n\u003Cp>Dieser Fokus ist wichtig, weil ein kleineres lokales Modell nützlich sein kann, wenn das umgebende System ihm starke Werkzeuge und klare Grenzen bietet.\u003C\u002Fp>\n\u003Ch2 id=\"section-93\">Was hat sich in den aktuellen Versionen geändert?\u003C\u002Fh2>\n\u003Cp>Die aktuelle öffentliche Versionshistorie zeigt, dass sich G-Assist stetig zu einem leistungsfähigeren lokalen Agenten entwickelt.\u003C\u002Fp>\n\u003Cdiv class=\"overflow-x-auto\">\u003Ctable class=\"w-full border-collapse\">\u003Cthead>\u003Ctr>\u003Cth class=\"border border-gray-300 px-4 py-2 text-left font-semibold\">Version\u003C\u002Fth>\u003Cth class=\"border border-gray-300 px-4 py-2 text-left font-semibold\">Wichtige Änderung\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd class=\"border border-gray-300 px-4 py-2\">0.1.17\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-2\">Leichteres Modell, alle RTX-GPUs mit 6 GB+ VRAM, Community-Plug-ins\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd class=\"border border-gray-300 px-4 py-2\">0.1.18\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-2\">Laptop-Optimierung, BatteryBoost- und WhisperMode-Steuerung\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd class=\"border border-gray-300 px-4 py-2\">0.2\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-2\">Reasoning Mode, Flash Mode, Multi-Action-Prompts, neue Gerätesteuerungen\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd class=\"border border-gray-300 px-4 py-2\">0.2.1\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-2\">Verbessertes Wissenssystem, bessere Empfehlungen, RTX-Funktionssteuerungen\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd class=\"border border-gray-300 px-4 py-2\">0.2.2\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-2\">Elgato Stream Deck Integration über einen MCP-Server\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003C\u002Fdiv>\n\u003Ch2 id=\"section-96\">Was würde diese Antwort ändern?\u003C\u002Fh2>\n\u003Cp>G-Assist ist noch experimentell und seine Architektur entwickelt sich weiter.\u003C\u002Fp>\n\u003Cp>Die Modellgröße, VRAM-Anforderungen, das Toolset, das Plug-in-Protokoll und die Hardware-Unterstützung können sich in zukünftigen Versionen alle ändern.\u003C\u002Fp>\n\u003Cp>Eine zukünftige Version könnte auch einige Inferenzen auf eine NPU verlagern oder eine breitere MCP-Integration einführen, aber das sollte nicht angenommen werden, bis NVIDIA es dokumentiert.\u003C\u002Fp>\n\u003Ch2 id=\"section-100\">Einschränkungen\u003C\u002Fh2>\n\u003Cp>Dieser Artikel beschreibt NVIDIAs öffentliche G-Assist-Produktdokumentation und öffentliche Plug-in-Architektur mit Stand September 2026.\u003C\u002Fp>\n\u003Cp>NVIDIA dokumentiert nicht öffentlich jedes interne Detail seiner Wissens- und Empfehlungspipeline, daher behauptet dieser Artikel nicht, dass jede Wissensantwort RAG oder eine andere spezifische Retrieval-Implementierung verwendet.\u003C\u002Fp>\n\u003Cp>Plug-ins von Drittanbietern können Verhalten und Netzwerkzugriff haben, die über NVIDIAs integrierte Funktionen hinausgehen, daher sollte jedes Plug-in separat bewertet werden.\u003C\u002Fp>\n\u003Ch2 id=\"section-104\">Fazit\u003C\u002Fh2>\n\u003Cp>Der einfachste Weg, Project G-Assist zu verstehen, ist, es nicht mehr als Chatbot zu betrachten.\u003C\u002Fp>\n\u003Cp>Das lokale SLM interpretiert Ihre Anfrage. Wissen hilft ihm, das Problem zu verstehen. Live-Systeminformationen sagen ihm, was auf Ihrem PC tatsächlich zutrifft. Eine integrierte Funktion oder ein Plug-in definiert, was es tatsächlich tun darf. Das Tool führt die Aktion aus und gibt das Ergebnis zurück.\u003C\u002Fp>\n\u003Cp>Das ist eine lokale Agentenarchitektur.\u003C\u002Fp>\n\u003Cp>Seine stärkste Idee ist nicht, dass ein Modell mit 8 Milliarden Parametern über Ihre GPU sprechen kann. Es ist, dass ein relativ kleines lokales Modell nützlich werden kann, wenn es mit klar definierten Werkzeugen, aktuellem Zustand und einer kontrollierten Aktionsgrenze verbunden ist.\u003C\u002Fp>\n\u003Ch2 id=\"section-109\">FAQ\u003C\u002Fh2>\n\u003Csection class=\"editorjs-faq my-6 rounded-xl border border-gray-200 p-5 dark:border-gray-700\">\u003Ch3 class=\"mb-3 text-lg font-semibold\">NVIDIA Project G-Assist in einfachem Deutsch\u003C\u002Fh3>\u003Cdiv id=\"faq1\" class=\"border-t border-gray-200 py-4 first:border-t-0 dark:border-gray-700\">\u003Ch4 class=\"font-semibold text-gray-900 dark:text-gray-100\">Ist G-Assist ein Cloud-Chatbot?\u003C\u002Fh4>\u003Cdiv class=\"mt-2 text-gray-600 dark:text-gray-300\">Nein. Sein Kern-Sprachmodell läuft lokal auf der GeForce RTX GPU und kann für unterstützte lokale Funktionen offline arbeiten.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cdiv id=\"faq2\" class=\"border-t border-gray-200 py-4 first:border-t-0 dark:border-gray-700\">\u003Ch4 class=\"font-semibold text-gray-900 dark:text-gray-100\">Welches Modell verwendet G-Assist?\u003C\u002Fh4>\u003Cdiv class=\"mt-2 text-gray-600 dark:text-gray-300\">NVIDIA beschreibt es derzeit als ein lokales Llama-basiertes Instruct-Modell mit 8 Milliarden Parametern.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cdiv id=\"faq3\" class=\"border-t border-gray-200 py-4 first:border-t-0 dark:border-gray-700\">\u003Ch4 class=\"font-semibold text-gray-900 dark:text-gray-100\">Ändert das KI-Modell direkt meine GPU-Einstellungen?\u003C\u002Fh4>\u003Cdiv class=\"mt-2 text-gray-600 dark:text-gray-300\">Nein. Das Modell wählt eine unterstützte integrierte Funktion oder ein Plug-in aus, und dieses Tool führt die eigentliche Änderung durch.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cdiv id=\"faq4\" class=\"border-t border-gray-200 py-4 first:border-t-0 dark:border-gray-700\">\u003Ch4 class=\"font-semibold text-gray-900 dark:text-gray-100\">Verwendet G-Assist VRAM während des Spielens?\u003C\u002Fh4>\u003Cdiv class=\"mt-2 text-gray-600 dark:text-gray-300\">Ja. NVIDIA empfiehlt zusätzlichen freien VRAM für den Assistenten und warnt, dass die Inferenz die Spiele-Renderleistung kurzzeitig reduzieren kann.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cdiv id=\"faq5\" class=\"border-t border-gray-200 py-4 first:border-t-0 dark:border-gray-700\">\u003Ch4 class=\"font-semibold text-gray-900 dark:text-gray-100\">Sind G-Assist-Plug-ins MCP-Plug-ins?\u003C\u002Fh4>\u003Cdiv class=\"mt-2 text-gray-600 dark:text-gray-300\">Nicht direkt. Das aktuelle Plug-in-Protokoll von G-Assist verwendet JSON-RPC 2.0, obwohl ein Plug-in eine Verbindung zu einem MCP-Server herstellen kann.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cdiv id=\"faq6\" class=\"border-t border-gray-200 py-4 first:border-t-0 dark:border-gray-700\">\u003Ch4 class=\"font-semibold text-gray-900 dark:text-gray-100\">Kann G-Assist offline arbeiten?\u003C\u002Fh4>\u003Cdiv class=\"mt-2 text-gray-600 dark:text-gray-300\">Sein lokaler Assistent kann das, aber einzelne Plug-ins können dennoch Internetzugang benötigen, wenn sie Online-Dienste aufrufen.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cdiv id=\"faq7\" class=\"border-t border-gray-200 py-4 first:border-t-0 dark:border-gray-700\">\u003Ch4 class=\"font-semibold text-gray-900 dark:text-gray-100\">Ist G-Assist ein allgemeiner KI-Assistent?\u003C\u002Fh4>\u003Cdiv class=\"mt-2 text-gray-600 dark:text-gray-300\">NVIDIA beschreibt es als einen spezialisierten PC- und Gaming-Assistenten und nicht als ein breites Allzweck-Konversationsmodell.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003C\u002Fsection>\n\u003Ch2 id=\"section-111\">Glossar\u003C\u002Fh2>\n\u003Csection class=\"editorjs-glossary my-6 rounded-xl border border-gray-200 dark:border-gray-700 p-5\">\u003Ch3 class=\"mb-3 text-lg font-semibold\">Wichtige G-Assist-Begriffe\u003C\u002Fh3>\u003Cdl>\u003Cdiv id=\"slm\" class=\"border-t border-gray-200 dark:border-gray-700 py-3 first:border-t-0\">\u003Cdt class=\"font-semibold text-gray-900 dark:text-gray-100\">SLM\u003C\u002Fdt>\u003Cdd class=\"mt-1 text-gray-600 dark:text-gray-300\">Small Language Model, ein kompaktes Sprachmodell, das für den lokalen Betrieb mit geringeren Hardwareanforderungen als große Cloud-Modelle entwickelt wurde.\u003C\u002Fdd>\u003C\u002Fdiv>\u003Cdiv id=\"tool-calling\" class=\"border-t border-gray-200 dark:border-gray-700 py-3 first:border-t-0\">\u003Cdt class=\"font-semibold text-gray-900 dark:text-gray-100\">Tool calling\u003C\u002Fdt>\u003Cdd class=\"mt-1 text-gray-600 dark:text-gray-300\">Der Prozess, bei dem ein Sprachmodell eine definierte Funktion auswählt und strukturierte Argumente liefert, damit eine andere Komponente eine Aktion ausführen kann.\u003C\u002Fdd>\u003C\u002Fdiv>\u003Cdiv id=\"plugin\" class=\"border-t border-gray-200 dark:border-gray-700 py-3 first:border-t-0\">\u003Cdt class=\"font-semibold text-gray-900 dark:text-gray-100\">Plug-in\u003C\u002Fdt>\u003Cdd class=\"mt-1 text-gray-600 dark:text-gray-300\">Eine Erweiterung, die zusätzliche Funktionen oder Integrationen für G-Assist bereitstellt.\u003C\u002Fdd>\u003C\u002Fdiv>\u003Cdiv id=\"json-rpc\" class=\"border-t border-gray-200 dark:border-gray-700 py-3 first:border-t-0\">\u003Cdt class=\"font-semibold text-gray-900 dark:text-gray-100\">JSON-RPC 2.0\u003C\u002Fdt>\u003Cdd class=\"mt-1 text-gray-600 dark:text-gray-300\">Das strukturierte Nachrichtenprotokoll, das vom aktuellen G-Assist Protocol V2 Plug-in-System verwendet wird.\u003C\u002Fdd>\u003C\u002Fdiv>\u003Cdiv id=\"mcp\" class=\"border-t border-gray-200 dark:border-gray-700 py-3 first:border-t-0\">\u003Cdt class=\"font-semibold text-gray-900 dark:text-gray-100\">MCP\u003C\u002Fdt>\u003Cdd class=\"mt-1 text-gray-600 dark:text-gray-300\">Model Context Protocol, ein separates Tool- und Kontext-Interoperabilitätsprotokoll, das einige externe Integrationen bereitstellen können.\u003C\u002Fdd>\u003C\u002Fdiv>\u003Cdiv id=\"tool-authority-boundary\" class=\"border-t border-gray-200 dark:border-gray-700 py-3 first:border-t-0\">\u003Cdt class=\"font-semibold text-gray-900 dark:text-gray-100\">Tool-Authority Boundary\u003C\u002Fdt>\u003Cdd class=\"mt-1 text-gray-600 dark:text-gray-300\">Ein Figure Rocks-Modell, das trennt, was ein KI-Modell verstehen kann, von dem, was seine verbundenen Tools tatsächlich zulassen.\u003C\u002Fdd>\u003C\u002Fdiv>\u003Cdiv id=\"local-agent-stack\" class=\"border-t border-gray-200 dark:border-gray-700 py-3 first:border-t-0\">\u003Cdt class=\"font-semibold text-gray-900 dark:text-gray-100\">Local Agent Stack\u003C\u002Fdt>\u003Cdd class=\"mt-1 text-gray-600 dark:text-gray-300\">Ein Figure Rocks-Modell, das Benutzerabsicht, lokales SLM, Wissen, Live-Zustand, Tool-Auswahl, Ausführung und Ergebnisverifikation kombiniert.\u003C\u002Fdd>\u003C\u002Fdiv>\u003Cdiv id=\"local-assistant-resource-test\" class=\"border-t border-gray-200 dark:border-gray-700 py-3 first:border-t-0\">\u003Cdt class=\"font-semibold text-gray-900 dark:text-gray-100\">Local Assistant Resource Test\u003C\u002Fdt>\u003Cdd class=\"mt-1 text-gray-600 dark:text-gray-300\">Ein Figure Rocks-Workflow zur Bewertung von VRAM, Inferenzkosten, Tool-Berechtigungen und Plug-in-Risiken vor der Verwendung eines lokalen Gaming-Assistenten.\u003C\u002Fdd>\u003C\u002Fdiv>\u003C\u002Fdl>\u003C\u002Fsection>\n\u003Ch2 id=\"section-113\">Primärquellen\u003C\u002Fh2>\n\u003Ca href=\"https:\u002F\u002Fwww.nvidia.com\u002Fen-us\u002Fsoftware\u002Fnvidia-app\u002Fg-assist\u002F\" target=\"_blank\" rel=\"noopener noreferrer\" class=\"editorjs-link-tool block border border-gray-200 dark:border-gray-700 rounded-lg p-4 transition text-gray-900 dark:text-gray-100 hover:border-primary-500 hover:bg-primary-50 dark:hover:bg-gray-900 hover:text-gray-900 dark:hover:text-gray-100\">\u003Cstrong class=\"block font-semibold\">NVIDIA — Project G-Assist\u003C\u002Fstrong>\u003Cp class=\"text-sm text-gray-600 dark:text-gray-400\">Offizielle aktuelle Produktseite mit Informationen zum lokalen Modell, unterstützten Funktionen, Reasoning- und Flash-Modi, VRAM-Anforderungen, RTX-Steuerungen, Plug-ins und der MCP-basierten Elgato-Integration in Version 0.2.2.\u003C\u002Fp>\u003C\u002Fa>\n\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FG-Assist\" target=\"_blank\" rel=\"noopener noreferrer\" class=\"editorjs-link-tool block border border-gray-200 dark:border-gray-700 rounded-lg p-4 transition text-gray-900 dark:text-gray-100 hover:border-primary-500 hover:bg-primary-50 dark:hover:bg-gray-900 hover:text-gray-900 dark:hover:text-gray-100\">\u003Cstrong class=\"block font-semibold\">NVIDIA — G-Assist GitHub\u003C\u002Fstrong>\u003Cp class=\"text-sm text-gray-600 dark:text-gray-400\">Offizielles öffentliches Plug-in-Repository, das die Modularchitektur, Plug-in-Erkennung und Protocol V2 von G-Assist dokumentiert.\u003C\u002Fp>\u003C\u002Fa>\n\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FG-Assist\u002Fblob\u002Fmain\u002FPLUGIN_MIGRATION_GUIDE_V2.md\" target=\"_blank\" rel=\"noopener noreferrer\" class=\"editorjs-link-tool block border border-gray-200 dark:border-gray-700 rounded-lg p-4 transition text-gray-900 dark:text-gray-100 hover:border-primary-500 hover:bg-primary-50 dark:hover:bg-gray-900 hover:text-gray-900 dark:hover:text-gray-100\">\u003Cstrong class=\"block font-semibold\">NVIDIA — G-Assist Protocol V2 Migration Guide\u003C\u002Fstrong>\u003Cp class=\"text-sm text-gray-600 dark:text-gray-400\">Offizielle Protokolldokumentation zu JSON-RPC 2.0, Initialisierung, Health Checks, Ausführung, Streaming, Abschluss und Plug-in-SDK-Verhalten.\u003C\u002Fp>\u003C\u002Fa>\n\u003Ca href=\"https:\u002F\u002Fblogs.nvidia.com\u002Fblog\u002Frtx-ai-garage-gamescom-g-assist-rtx-remix\u002F\" target=\"_blank\" rel=\"noopener noreferrer\" class=\"editorjs-link-tool block border border-gray-200 dark:border-gray-700 rounded-lg p-4 transition text-gray-900 dark:text-gray-100 hover:border-primary-500 hover:bg-primary-50 dark:hover:bg-gray-900 hover:text-gray-900 dark:hover:text-gray-100\">\u003Cstrong class=\"block font-semibold\">NVIDIA Blog — Lightweight G-Assist Model\u003C\u002Fstrong>\u003Cp class=\"text-sm text-gray-600 dark:text-gray-400\">Offizielle Hintergrundinformationen zum G-Assist-Modell mit geringerem Speicherbedarf, zur Unterstützung von 6 GB RTX GPUs und zum Community-Plug-in-Hub.\u003C\u002Fp>\u003C\u002Fa>",{"time":538,"blocks":539,"version":1438},1790407824740,[540,546,554,561,568,574,579,584,589,596,601,627,632,637,642,647,678,683,688,693,698,723,730,739,744,749,754,759,764,769,774,779,784,789,794,799,804,809,815,823,828,833,838,862,867,872,877,882,903,908,913,918,923,951,956,961,966,971,977,982,987,992,997,1002,1029,1034,1039,1044,1049,1054,1059,1086,1091,1096,1101,1106,1111,1116,1140,1145,1150,1155,1160,1165,1170,1175,1180,1185,1193,1198,1203,1208,1213,1218,1223,1247,1252,1257,1262,1267,1272,1277,1282,1287,1292,1297,1302,1307,1312,1317,1352,1357,1396,1401,1411,1420,1429],{"id":541,"data":542,"type":544,"tunes":545},"3cee674645",{"text":543},"NVIDIA Project G-Assist sieht aus wie ein Chatbot, aber diese Beschreibung verfehlt den wichtigen Teil. Es ist ein lokales KI-System, das eine Anfrage verstehen, den unterstützten PC-Zustand überprüfen, ein Tool oder Plug-in auswählen und dann eine echte Aktion ausführen kann, wie das Ändern von DLSS-Einstellungen, das Überprüfen eines Treibers, das Anpassen eines Lüfterprofils oder das Steuern eines Peripheriegeräts.","paragraph",{},{"id":547,"data":548,"type":552,"tunes":553},"24a1733ca8",{"body":549,"title":550,"variant":551},"\u003Cstrong>G-Assist ist nicht einfach ein Chatbot für deine GPU.\u003C\u002Fstrong> Es ist ein lokales kleines Sprachmodell, das mit einer Reihe erlaubter Tools verbunden ist. Das Modell interpretiert, was du willst, wählt eine unterstützte Funktion aus, übergibt Argumente an diese Funktion, und das PC-seitige Tool führt die Aktion aus.","Direkte Antwort","info","callout",{},{"id":555,"data":556,"type":552,"tunes":560},"1fcbe512dc",{"body":557,"title":558,"variant":559},"\u003Cstrong>SLM = versteht die Anfrage.\u003C\u002Fstrong>\u003Cbr>\u003Cstrong>Wissen = erklärt unterstützte NVIDIA\u002FPC-Konzepte.\u003C\u002Fstrong>\u003Cbr>\u003Cstrong>Tools = führen Aktionen aus.\u003C\u002Fstrong>\u003Cbr>\u003Cstrong>Plug-ins = fügen neue Tools hinzu.\u003C\u002Fstrong>\u003Cbr>\u003Cstrong>Dein PC = die Umgebung, die inspiziert oder verändert wird.\u003C\u002Fstrong>","Das einfachste mentale Modell","note",{},{"id":562,"data":563,"type":566,"tunes":567},"2a609230a5",{"title":564,"maxLevel":565,"minLevel":47},"Inhalt",3,"tableOfContents",{},{"id":569,"data":570,"type":572,"tunes":573},"a52f97cb62",{"text":571,"level":47},"Zuerst: Was macht das KI-Modell eigentlich?","header",{},{"id":575,"data":576,"type":544,"tunes":578},"1871a0d8e6",{"text":577},"G-Assist verwendet ein lokales kleines Sprachmodell, oder SLM. NVIDIA beschreibt das System derzeit als ein Llama-basiertes Instruct-Modell mit 8 Milliarden Parametern.",{},{"id":580,"data":581,"type":544,"tunes":583},"cfbc6473c4",{"text":582},"Die Hauptaufgabe des Modells ist nicht, Grafiken zu rendern oder direkt Hardware-Register zu ändern. Seine Aufgabe ist es, die Sprache des Benutzers zu verstehen, zu entscheiden, welche unterstützte Fähigkeit zur Anfrage passt, und den Aufruf dieser Fähigkeit vorzubereiten.",{},{"id":585,"data":586,"type":544,"tunes":588},"53cadaaeb6",{"text":587},"Wenn du zum Beispiel sagst „Setze DLSS Super Resolution auf Performance-Modus“, ändert das Sprachmodell nicht selbst DLSS. Es interpretiert den Befehl und leitet ihn an die unterstützte Funktion weiter, die die Einstellung ändern kann.",{},{"id":590,"data":591,"type":552,"tunes":595},"5d8e508019",{"body":592,"title":593,"variant":594},"Das KI-Modell \u003Cstrong>entscheidet, welches Tool aufgerufen wird\u003C\u002Fstrong>. Das Tool \u003Cstrong>erledigt die eigentliche Arbeit\u003C\u002Fstrong>.","Die wichtige Unterscheidung","success",{},{"id":597,"data":598,"type":572,"tunes":600},"9ce7e91c28",{"text":599,"level":47},"Die G-Assist-Aktionspipeline",{},{"id":602,"data":603,"type":625,"tunes":626},"992b5d6667",{"steps":604,"title":623,"orientation":624},[605,608,611,614,617,620],{"label":606,"description":607},"1. Du gibst eine Anfrage in natürlicher Sprache","Zum Beispiel: „Optimiere dieses Spiel für Leistung.“",{"label":609,"description":610},"2. Das lokale SLM interpretiert die Anfrage","Es bestimmt die Absicht des Benutzers und identifiziert, welche unterstützte Funktion oder welches Plug-in relevant ist.",{"label":612,"description":613},"3. Das System wählt ein Tool","Das könnte eine integrierte Grafik-Einstellungsfunktion, Treiberprüfung, Überwachungsfunktion oder ein Community-Plug-in sein.",{"label":615,"description":616},"4. Argumente werden extrahiert","Das Modell wandelt die Anfrage in strukturierte Werte um, wie Spielname, Modus, Lüfterprofil oder DLSS-Einstellung.",{"label":618,"description":619},"5. Das Tool führt aus","Das Tool kommuniziert mit der NVIDIA App, dem Betriebssystem, der Peripheriesoftware oder einem anderen Dienst.",{"label":621,"description":622},"6. Das Ergebnis wird zurückgegeben","G-Assist meldet, was passiert ist, oder gibt Daten zurück, die das Modell erklären kann.","Was passiert, nachdem du G-Assist einen Befehl gegeben hast","auto","processFlow",{},{"id":628,"data":629,"type":572,"tunes":631},"aba1e38958",{"text":630,"level":47},"Das ist Tool-Aufruf, keine magische PC-Steuerung",{},{"id":633,"data":634,"type":544,"tunes":636},"0a7cb6107d",{"text":635},"Ein Sprachmodell kann einen beliebigen Computer nicht sicher steuern, nur weil es Englisch versteht.",{},{"id":638,"data":639,"type":544,"tunes":641},"31191a478c",{"text":640},"Es braucht eine definierte Schnittstelle, die angibt, welche Aktionen existieren, welche Argumente sie akzeptieren und was das Tool zurückgibt.",{},{"id":643,"data":644,"type":544,"tunes":646},"af3d1a846f",{"text":645},"Zu den aktuellen integrierten Fähigkeiten von G-Assist gehören Funktionen wie das Optimieren von Grafikeinstellungen, das Ändern unterstützter RTX-Optionen, das Überprüfen oder Herunterladen von Treibern, das Anzeigen von Leistungsinformationen, das Ändern einiger Laptop-Energiefunktionen, das Steuern unterstützter Monitorfunktionen und die Verwendung unterstützter Peripherie-Plug-ins.",{},{"id":648,"data":649,"type":676,"tunes":677},"d6fd0eb144",{"rows":650,"title":667,"layout":668,"columns":669},[651,655,659,663],{"id":652,"label":653,"values":654},"understand","„DLSS einschalten“ verstehen",[13,13],{"id":656,"label":657,"values":658},"decide","Die richtige Funktion auswählen",[13,13],{"id":660,"label":661,"values":662},"change","Die Einstellung tatsächlich ändern",[13,13],{"id":664,"label":665,"values":666},"explain","Das Ergebnis erklären",[13,13],"Sprachmodell vs. Tool","table",[670,673],{"id":671,"label":672},"model","Sprachmodell",{"id":674,"label":675},"tool","Tool \u002F Plug-in","comparison",{},{"id":679,"data":680,"type":572,"tunes":682},"1537be641c",{"text":681,"level":47},"Was ist die Wissensschicht?",{},{"id":684,"data":685,"type":544,"tunes":687},"1db6e2e4b5",{"text":686},"G-Assist hat auch eine Wissensschicht, um Fragen zu beantworten und Empfehlungen zu geben.",{},{"id":689,"data":690,"type":544,"tunes":692},"616d72b881",{"text":691},"NVIDIA gibt an, dass Version 0.2.1 ein verbessertes Wissenssystem eingeführt hat, das G-Assist dabei hilft, genauere Einstellungsempfehlungen zu geben.",{},{"id":694,"data":695,"type":544,"tunes":697},"eb987c41e5",{"text":696},"Diese Wissensebene unterscheidet sich vom Live-Zustand Ihres PCs.",{},{"id":699,"data":700,"type":676,"tunes":722},"bf6a4f5502",{"rows":701,"title":714,"layout":668,"columns":715},[702,706,710],{"id":703,"label":704,"values":705},"gpu","GPU",[13,13],{"id":707,"label":708,"values":709},"game","Spieleinstellungen",[13,13],{"id":711,"label":712,"values":713},"system","Leistung",[13,13],"Wissen vs. Live-PC-Zustand",[716,719],{"id":717,"label":718},"knowledge","Wissen",{"id":720,"label":721},"state","Live-Zustand",{},{"id":724,"data":725,"type":552,"tunes":729},"2bac13ef99",{"body":726,"title":727,"variant":728},"\u003Cstrong>Wissen\u003C\u002Fstrong> sagt dem Assistenten, was eine Funktion bedeutet oder was normalerweise wichtig ist.\u003Cbr>\u003Cstrong>Zustand\u003C\u002Fstrong> sagt ihm, was auf Ihrem Rechner gerade jetzt zutrifft.","Wissen nicht mit Zustand verwechseln","warning",{},{"id":731,"data":732,"type":737,"tunes":738},"73708d5e0d",{"url":733,"title":734,"excerpt":735,"ctaLabel":736},"https:\u002F\u002Fstajic.de\u002Fblog\u002Fwhat-is-rag-the-simplest-explanation-of-how-it-works","Was ist RAG? Die einfachste Erklärung, wie es funktioniert","Eine allgemein verständliche Erklärung von Wissensabruf, Zustand, Gedächtnis, Kontext und dem Sprachmodell.","Lesen Sie den einfachen RAG-Leitfaden","referralArticle",{},{"id":740,"data":741,"type":572,"tunes":743},"acbb9b7940",{"text":742,"level":47},"Verwendet G-Assist RAG?",{},{"id":745,"data":746,"type":544,"tunes":748},"ce0371e492",{"text":747},"Die sicherste Antwort ist: G-Assist hat eindeutig ein Wissenssystem, aber die öffentliche Produktseite von NVIDIA dokumentiert nicht jeden internen Abrufmechanismus detailliert genug, um sagen zu können, dass jede Wissensantwort speziell durch RAG erzeugt wird.",{},{"id":750,"data":751,"type":544,"tunes":753},"c2226e5ec5",{"text":752},"Die architektonische Unterscheidung ist dennoch wichtig. Eine Abrufebene kann relevantes Wissen bereitstellen, während Systemtools den aktuellen PC-Zustand liefern und Aktionen ausführen.",{},{"id":755,"data":756,"type":544,"tunes":758},"e5137fc2c8",{"text":757},"Das ist dieselbe Trennung, die in vielen modernen Agenten verwendet wird: Wissen ist eine Kontextquelle, Live-Beobachtungen sind eine andere und Tool-Ausführung ist eine dritte.",{},{"id":760,"data":761,"type":572,"tunes":763},"059b89dedb",{"text":762,"level":47},"Warum G-Assist offline funktionieren kann",{},{"id":765,"data":766,"type":544,"tunes":768},"19447df6a4",{"text":767},"NVIDIA führt das Sprachmodell lokal auf der GeForce RTX GPU aus.",{},{"id":770,"data":771,"type":544,"tunes":773},"55aee6ada7",{"text":772},"Das bedeutet, dass der Kernassistent nicht für jede Eingabe ein cloud-gehostetes Sprachmodell benötigt.",{},{"id":775,"data":776,"type":544,"tunes":778},"f265d1fd96",{"text":777},"NVIDIA sagt ausdrücklich, dass G-Assist für seine lokalen Fähigkeiten offline ausgeführt werden kann.",{},{"id":780,"data":781,"type":544,"tunes":783},"1dc8613200",{"text":782},"Ein Plug-in kann weiterhin das Internet nutzen, wenn dieses Plug-in einen Online-Dienst aufruft. Lokale Modellausführung und Online-Plug-in-Zugriff sind separate Fragen.",{},{"id":785,"data":786,"type":572,"tunes":788},"ee01c97a66",{"text":787,"level":47},"Die Kosten lokaler KI: G-Assist nutzt Ihre GPU und VRAM",{},{"id":790,"data":791,"type":544,"tunes":793},"1784ad3fcf",{"text":792},"Lokale Ausführung bietet Privatsphäre und Unabhängigkeit von einem Cloud-Modell, aber die Arbeit muss irgendwo ausgeführt werden.",{},{"id":795,"data":796,"type":544,"tunes":798},"1275ab759f",{"text":797},"Für G-Assist ist dieses Irgendwo dieselbe GeForce RTX GPU, die möglicherweise bereits Ihr Spiel rendert.",{},{"id":800,"data":801,"type":544,"tunes":803},"cec86f847a",{"text":802},"NVIDIA warnt, dass die GPU kurzzeitig Rechenressourcen für die KI-Inferenz zuweist, wenn G-Assist antwortet. Wenn gleichzeitig ein anspruchsvolles Spiel läuft, kann das Spiel vorübergehend etwas Rendering-Leistung verlieren, während das Modell aktiv ist.",{},{"id":805,"data":806,"type":544,"tunes":808},"e6ea700df6",{"text":807},"Die aktuellen Anforderungen spezifizieren auch Ziele für freien VRAM-Speicher, der über den bereits vom Spiel genutzten Speicher hinausgeht: etwa 6 GB freier VRAM für den Reasoning-Modus und 4,5 GB für den Flash-Modus.",{},{"id":810,"data":811,"type":552,"tunes":814},"2126f74de5",{"body":812,"title":813,"variant":728},"Das Spiel, Windows, der Treiber und andere Anwendungen verbrauchen bereits VRAM. Die Anforderung von G-Assist bezieht sich auf \u003Cstrong>freien VRAM zusätzlich zu dem, was die laufende Arbeitslast bereits verwendet\u003C\u002Fstrong>.","8 GB VRAM bedeutet nicht, dass 8 GB für G-Assist verfügbar sind",{},{"id":816,"data":817,"type":737,"tunes":822},"13c0dcb3f3",{"url":818,"title":819,"excerpt":820,"ctaLabel":821},"https:\u002F\u002Ffigure.rocks\u002Fde\u002Fblog\u002Fvram-usage-is-not-vram-requirement-why-a-full-memory-meter-does-not-tell-the-whole-story","VRAM-Nutzung ist keine VRAM-Anforderung: Warum ein voller Speicherbalken nicht die ganze Geschichte erzählt","Warum installierter VRAM, aktuelle Nutzung, Residenzbudgets und tatsächlicher Speicherdruck verschiedene Dinge sind.","VRAM-Leitfaden lesen",{},{"id":824,"data":825,"type":572,"tunes":827},"d684b2c1c8",{"text":826,"level":47},"Reasoning-Modus vs. Flash-Modus",{},{"id":829,"data":830,"type":544,"tunes":832},"3c1f2379db",{"text":831},"Aktuelle G-Assist-Versionen trennen einen leistungsfähigeren Reasoning-Modus von einem schnelleren Flash-Modus.",{},{"id":834,"data":835,"type":544,"tunes":837},"86f50ebd33",{"text":836},"Der Reasoning-Modus ist für Entscheidungen mit höherer Qualität ausgelegt und kann mehrere Aktionen aus einer Eingabeaufforderung koordinieren. Der Flash-Modus ist für schnellere Antworten und geringeren Ressourcenbedarf optimiert.",{},{"id":839,"data":840,"type":676,"tunes":861},"e7be4789db",{"rows":841,"title":826,"layout":668,"columns":854},[842,846,850],{"id":843,"label":844,"values":845},"goal","Hauptziel",[13,13],{"id":847,"label":848,"values":849},"vram","Empfohlener freier VRAM",[13,13],{"id":851,"label":852,"values":853},"use","Am besten geeignet für",[13,13],[855,858],{"id":856,"label":857},"reasoning","Reasoning-Modus",{"id":859,"label":860},"flash","Flash-Modus",{},{"id":863,"data":864,"type":572,"tunes":866},"cef1bcf553",{"text":865,"level":47},"Was Plug-ins tatsächlich hinzufügen",{},{"id":868,"data":869,"type":544,"tunes":871},"d380d5e28b",{"text":870},"Ein Plug-in ersetzt nicht das Sprachmodell. Es gibt dem Modell eine neue Aktion, die es aufrufen darf.",{},{"id":873,"data":874,"type":544,"tunes":876},"434979ebda",{"text":875},"Das Plug-in definiert Funktionen, Beschreibungen und Parameter. G-Assist liest diese Beschreibungen, ordnet eine Benutzeranfrage der entsprechenden Funktion zu und sendet strukturierte Argumente an sie.",{},{"id":878,"data":879,"type":544,"tunes":881},"21ebe69c79",{"text":880},"Dadurch kann der Assistent über die integrierten Funktionen von NVIDIA hinauswachsen.",{},{"id":883,"data":884,"type":625,"tunes":902},"d0ba7ef284",{"steps":885,"title":901,"orientation":624},[886,889,892,895,898],{"label":887,"description":888},"1. Plug-in deklariert eine Funktion","Zum Beispiel: set_keyboard_color(color).",{"label":890,"description":891},"2. Manifest beschreibt die Funktion","Das Manifest teilt G-Assist mit, was die Funktion tut und welche Parameter sie benötigt.",{"label":893,"description":894},"3. Benutzer fragt natürlich","Zum Beispiel: „Mach meine Tastatur grün.“",{"label":896,"description":897},"4. SLM wählt die Funktion aus","Das Modell ordnet die Anfrage der Plug-in-Funktion zu und extrahiert Grün als Parameter.",{"label":899,"description":900},"5. Plug-in führt aus","Das Plug-in kommuniziert mit der Peripheriesoftware oder dem externen Dienst.","Wie ein G-Assist-Plug-in funktioniert",{},{"id":904,"data":905,"type":572,"tunes":907},"1dc857ce2f",{"text":906,"level":47},"G-Assist Protocol V2 ist JSON-RPC 2.0",{},{"id":909,"data":910,"type":544,"tunes":912},"02bdb0566d",{"text":911},"NVIDIAs aktuelles öffentliches Plug-in-Repository verwendet Protocol V2.",{},{"id":914,"data":915,"type":544,"tunes":917},"f82da294cf",{"text":916},"Protocol V2 verwendet JSON-RPC 2.0 mit längenspezifizierten Nachrichten zwischen der G-Assist-Engine und Plug-ins.",{},{"id":919,"data":920,"type":544,"tunes":922},"530c3cf9b9",{"text":921},"Die Engine kann ein Plug-in initialisieren, seinen Zustand überprüfen, eine Funktion ausführen, Benutzereingaben senden und es herunterfahren. Plug-ins können Ergebnisse zurückgeben, Fortschritt streamen oder Fehler melden.",{},{"id":924,"data":925,"type":676,"tunes":950},"2ce3fa5d75",{"rows":926,"title":942,"layout":668,"columns":943},[927,930,933,936,939],{"id":928,"label":928,"values":929},"initialize",[13,13],{"id":931,"label":931,"values":932},"ping",[13,13],{"id":934,"label":934,"values":935},"execute",[13,13],{"id":937,"label":937,"values":938},"stream",[13,13],{"id":940,"label":940,"values":941},"complete",[13,13],"Die wichtigen Protocol V2-Nachrichten",[944,947],{"id":945,"label":946},"direction","Richtung",{"id":948,"label":949},"purpose","Zweck",{},{"id":952,"data":953,"type":572,"tunes":955},"304fbd9944",{"text":954,"level":47},"Wo MCP ins Spiel kommt",{},{"id":957,"data":958,"type":544,"tunes":960},"fae73881e4",{"text":959},"Das eigene Plug-in-Protokoll von G-Assist ist nicht MCP. Sein aktuelles öffentliches Plug-in-System verwendet JSON-RPC 2.0.",{},{"id":962,"data":963,"type":544,"tunes":965},"551d11710a",{"text":964},"Ein G-Assist-Plug-in kann jedoch eine Verbindung zu einem MCP-Server herstellen.",{},{"id":967,"data":968,"type":544,"tunes":970},"0537fb222a",{"text":969},"NVIDIAs aktuelle Version 0.2.2 enthält eine Elgato-Integration, die Aktionen aufrufen kann, die über den Elgato Stream Deck MCP-Server bereitgestellt werden.",{},{"id":972,"data":973,"type":552,"tunes":976},"760a86ad19",{"body":974,"title":975,"variant":594},"\u003Cstrong>G-Assist ↔ sein Plug-in:\u003C\u002Fstrong> NVIDIA Protocol V2 \u002F JSON-RPC 2.0.\u003Cbr>\u003Cstrong>Plug-in ↔ ein anderes Tool-Ökosystem:\u003C\u002Fstrong> kann MCP verwenden, wenn diese Integration es unterstützt.","Wichtige Protokollunterscheidung",{},{"id":978,"data":979,"type":572,"tunes":981},"bd182f72b0",{"text":980,"level":47},"Warum das über RGB-Beleuchtung hinaus wichtig ist",{},{"id":983,"data":984,"type":544,"tunes":986},"d072506ce2",{"text":985},"Die Plug-in-Architektur macht G-Assist von einem festen Assistenten zu einem lokalen Tool-Router.",{},{"id":988,"data":989,"type":544,"tunes":991},"2876e067dc",{"text":990},"Dasselbe Muster kann ein SLM mit Überwachungstools, Peripheriegeräten, APIs, Automatisierungssystemen, lokalen Anwendungen oder externen Diensten verbinden.",{},{"id":993,"data":994,"type":544,"tunes":996},"37689640e9",{"text":995},"Die wichtige architektonische Einheit ist daher nicht das Chat-Fenster. Es ist die Grenze zwischen natürlichsprachlicher Absicht und strukturierter Tool-Ausführung.",{},{"id":998,"data":999,"type":572,"tunes":1001},"550fbb42d4",{"text":1000,"level":47},"Der lokale Agenten-Stack",{},{"id":1003,"data":1004,"type":625,"tunes":1028},"8518dbf820",{"steps":1005,"title":1027,"orientation":624},[1006,1009,1012,1015,1018,1021,1024],{"label":1007,"description":1008},"1. Benutzerabsicht","Natürlichsprachlicher oder Sprachbefehl.",{"label":1010,"description":1011},"2. Lokales SLM","Versteht die Anfrage und wählt eine Fähigkeit aus.",{"label":1013,"description":1014},"3. Wissen \u002F Kontext","Stellt Produktwissen, Empfehlungen oder Informationen bereit, die für die Entscheidung benötigt werden.",{"label":1016,"description":1017},"4. Live-Systemzustand","Stellt bei Unterstützung aktuelle Hardware-, Treiber-, Leistungs- oder Konfigurationsinformationen bereit.",{"label":1019,"description":1020},"5. Tool-Auswahl","Eine integrierte Funktion oder ein Plug-in wird ausgewählt.",{"label":1022,"description":1023},"6. Strukturierte Ausführung","Die Funktion erhält Argumente und führt die eigentliche Aktion aus.",{"label":1025,"description":1026},"7. Ergebnisüberprüfung","Das Tool gibt Status oder Daten zurück und das Modell erklärt, was passiert ist.","Eine nützliche Art, über G-Assist nachzudenken",{},{"id":1030,"data":1031,"type":572,"tunes":1033},"6c976db763",{"text":1032,"level":47},"Warum Tool-Grenzen ein Sicherheitsmerkmal sind",{},{"id":1035,"data":1036,"type":544,"tunes":1038},"ba65a3b467",{"text":1037},"Ein KI-Assistent, der beliebige Betriebssystembefehle ausführen könnte, wäre weitaus mächtiger, aber auch viel schwerer einzuschränken.",{},{"id":1040,"data":1041,"type":544,"tunes":1043},"a932df9663",{"text":1042},"G-Assist stellt stattdessen definierte Funktionen mit bekannten Parametern bereit.",{},{"id":1045,"data":1046,"type":544,"tunes":1048},"7d1d45c83d",{"text":1047},"Das bedeutet, dass das Modell nur Aktionen ausführen kann, die der integrierte Funktionsumfang oder installierte Plug-ins verfügbar machen.",{},{"id":1050,"data":1051,"type":544,"tunes":1053},"10460fda21",{"text":1052},"Dies beseitigt nicht alle Risiken, insbesondere bei Plug-ins von Drittanbietern, aber es schafft eine klarere Berechtigungs- und Fähigkeitsgrenze als uneingeschränkter Shell-Zugriff.",{},{"id":1055,"data":1056,"type":572,"tunes":1058},"25049448ea",{"text":1057,"level":47},"Die Tool-Autoritätsgrenze",{},{"id":1060,"data":1061,"type":676,"tunes":1085},"d3ff568795",{"rows":1062,"title":1078,"layout":668,"columns":1079},[1063,1066,1070,1074],{"id":703,"label":1064,"values":1065},"GPU-Tuning",[13,13],{"id":1067,"label":1068,"values":1069},"files","Dateien",[13,13],{"id":1071,"label":1072,"values":1073},"web","Internet",[13,13],{"id":1075,"label":1076,"values":1077},"device","Peripheriesteuerung",[13,13],"Was der Assistent verstehen kann vs. was er tun darf",[1080,1082],{"id":652,"label":1081},"Modell kann verstehen",{"id":1083,"label":1084},"authority","Tool-Autorität",{},{"id":1087,"data":1088,"type":572,"tunes":1090},"8fd8e35c51",{"text":1089,"level":47},"Warum G-Assist die Spielleistung vorübergehend verringern kann",{},{"id":1092,"data":1093,"type":544,"tunes":1095},"f75234546f",{"text":1094},"Die lokale Modellarchitektur hat eine einfache Konsequenz: Die KI und das Spiel können um dieselbe GPU konkurrieren.",{},{"id":1097,"data":1098,"type":544,"tunes":1100},"28bc054afa",{"text":1099},"NVIDIA warnt ausdrücklich davor, dass die Bildrate oder die Inferenzgeschwindigkeit kurzzeitig sinken kann, während G-Assist eine Anfrage während einer GPU-intensiven Arbeitslast verarbeitet.",{},{"id":1102,"data":1103,"type":544,"tunes":1105},"0823573513",{"text":1104},"Sobald die Inferenz abgeschlossen ist, werden diese GPU-Ressourcen an das Spiel zurückgegeben.",{},{"id":1107,"data":1108,"type":544,"tunes":1110},"905eed843d",{"text":1109},"Dies unterscheidet sich von einem Cloud-Assistenten, bei dem die meiste Modellinferenz auf einem Remote-Server stattfindet und nicht die Gaming-GPU beansprucht.",{},{"id":1112,"data":1113,"type":572,"tunes":1115},"839c0e3988",{"text":1114,"level":47},"Der lokale Assistenten-Ressourcentest",{},{"id":1117,"data":1118,"type":625,"tunes":1139},"affa0ee1b3",{"steps":1119,"title":1138,"orientation":624},[1120,1123,1126,1129,1132,1135],{"label":1121,"description":1122},"1. Installierten VRAM prüfen","Die aktuelle G-Assist-Basis ist eine RTX-GPU mit mindestens 6 GB VRAM.",{"label":1124,"description":1125},"2. Freien VRAM während des tatsächlichen Spiels prüfen","Installierte Kapazität ist nicht dasselbe wie freie Kapazität.",{"label":1127,"description":1128},"3. Reasoning- oder Flash-Modus entsprechend wählen","Verwenden Sie den leichteren Modus, wenn Ressourcendruck wichtiger ist als tiefes Reasoning.",{"label":1130,"description":1131},"4. Bildrateneinbrüche während der Inferenz messen","Beobachten Sie das Spiel, während Sie G-Assist bitten, Aufgaben auszuführen.",{"label":1133,"description":1134},"5. Tool-Berechtigungen prüfen","Wissen Sie genau, welche integrierten Funktionen und Plug-ins Ihr System ändern können.",{"label":1136,"description":1137},"6. Drittanbieter-Plug-ins wie Software behandeln","Überprüfen Sie deren Quelle, Berechtigungen, Netzwerkzugriff und gespeicherte Anmeldeinformationen.","Wie man beurteilt, ob ein lokaler Gaming-Assistent zu Ihrem PC passt",{},{"id":1141,"data":1142,"type":572,"tunes":1144},"ca52c48d2e",{"text":1143,"level":47},"Warum Plug-ins die gleiche Prüfung verdienen wie jede andere Software",{},{"id":1146,"data":1147,"type":544,"tunes":1149},"8e6a760529",{"text":1148},"Ein Plug-in kann den Assistenten mit APIs, Peripherieanwendungen und Online-Diensten verbinden.",{},{"id":1151,"data":1152,"type":544,"tunes":1154},"be793240e1",{"text":1153},"Das bedeutet, dass ein Plug-in je nach Zweck Konfigurationswerte, Anmeldeinformationen oder externe Anfragen verarbeiten kann.",{},{"id":1156,"data":1157,"type":544,"tunes":1159},"3c6c4c9aaf",{"text":1158},"NVIDIAs Repository bietet ausdrücklich einen config.json-Speicherort für Plug-in-Einstellungen und warnt Entwickler davor, Anmeldeinformationen zu committen.",{},{"id":1161,"data":1162,"type":544,"tunes":1164},"03413f935a",{"text":1163},"Die richtige Sicherheitsfrage ist daher nicht nur „Ist G-Assist lokal?“, sondern auch „Womit verbindet sich jedes installierte Plug-in?“",{},{"id":1166,"data":1167,"type":572,"tunes":1169},"f473162e86",{"text":1168,"level":47},"G-Assist ist eher ein Agent als ein Chatbot",{},{"id":1171,"data":1172,"type":544,"tunes":1174},"59dd3df9c2",{"text":1173},"Ein Chatbot erzeugt hauptsächlich Sprache.",{},{"id":1176,"data":1177,"type":544,"tunes":1179},"188cb4bb40",{"text":1178},"Ein Agent interpretiert ein Ziel, beobachtet relevante Informationen, wählt eine Aktion, ruft ein Tool auf und bewertet das Ergebnis.",{},{"id":1181,"data":1182,"type":544,"tunes":1184},"117d1032f1",{"text":1183},"G-Assist entspricht jetzt viel eher dieser zweiten Beschreibung, da es mehrere Aktionen koordinieren, den unterstützten PC-Zustand überprüfen und echte Tools aufrufen kann.",{},{"id":1186,"data":1187,"type":737,"tunes":1192},"ef132fc518",{"url":1188,"title":1189,"excerpt":1190,"ctaLabel":1191},"https:\u002F\u002Ffigure.rocks\u002Fde\u002Fblog\u002Fpubg-ally-shows-why-ai-teammates-need-two-brains-fast-reflexes-and-slow-reasoning","PUBG Ally zeigt, warum KI-Teamkollegen zwei Gehirne brauchen: Schnelle Reflexe und langsames Reasoning","Ein Beispiel für eine Spiel-Agent-Architektur, die die Trennung zwischen Reasoning, Live-Zustand, Tools und deterministischer Ausführung zeigt.","Lesen Sie den PUBG Ally-Architekturleitfaden",{},{"id":1194,"data":1195,"type":572,"tunes":1197},"9f8fa308a5",{"text":1196,"level":47},"Was G-Assist immer noch nicht ist",{},{"id":1199,"data":1200,"type":544,"tunes":1202},"f5f24e8aa3",{"text":1201},"NVIDIA beschreibt G-Assist ausdrücklich als spezialisierten lokalen Assistenten, nicht als allgemeinen konversationellen KI.",{},{"id":1204,"data":1205,"type":544,"tunes":1207},"e4d187593f",{"text":1206},"Sein Wert kommt aus dem Verständnis einer fokussierten Gruppe von PC- und Gaming-Aufgaben und der Verfügbarkeit von Werkzeugen, die mit diesen Aufgaben verbunden sind.",{},{"id":1209,"data":1210,"type":544,"tunes":1212},"0c1b7f8948",{"text":1211},"Dieser Fokus ist wichtig, weil ein kleineres lokales Modell nützlich sein kann, wenn das umgebende System ihm starke Werkzeuge und klare Grenzen bietet.",{},{"id":1214,"data":1215,"type":572,"tunes":1217},"79a5920e77",{"text":1216,"level":47},"Was hat sich in den aktuellen Versionen geändert?",{},{"id":1219,"data":1220,"type":544,"tunes":1222},"e78d96ef6c",{"text":1221},"Die aktuelle öffentliche Versionshistorie zeigt, dass sich G-Assist stetig zu einem leistungsfähigeren lokalen Agenten entwickelt.",{},{"id":1224,"data":1225,"type":668,"tunes":1246},"87dd1d3d3c",{"content":1226,"stretched":1245,"withHeadings":15},[1227,1230,1233,1236,1239,1242],[1228,1229],"Version","Wichtige Änderung",[1231,1232],"0.1.17","Leichteres Modell, alle RTX-GPUs mit 6 GB+ VRAM, Community-Plug-ins",[1234,1235],"0.1.18","Laptop-Optimierung, BatteryBoost- und WhisperMode-Steuerung",[1237,1238],"0.2","Reasoning Mode, Flash Mode, Multi-Action-Prompts, neue Gerätesteuerungen",[1240,1241],"0.2.1","Verbessertes Wissenssystem, bessere Empfehlungen, RTX-Funktionssteuerungen",[1243,1244],"0.2.2","Elgato Stream Deck Integration über einen MCP-Server",false,{},{"id":1248,"data":1249,"type":572,"tunes":1251},"09bde21a8d",{"text":1250,"level":47},"Was würde diese Antwort ändern?",{},{"id":1253,"data":1254,"type":544,"tunes":1256},"b0e7ca01a4",{"text":1255},"G-Assist ist noch experimentell und seine Architektur entwickelt sich weiter.",{},{"id":1258,"data":1259,"type":544,"tunes":1261},"537568c224",{"text":1260},"Die Modellgröße, VRAM-Anforderungen, das Toolset, das Plug-in-Protokoll und die Hardware-Unterstützung können sich in zukünftigen Versionen alle ändern.",{},{"id":1263,"data":1264,"type":544,"tunes":1266},"fe24516c11",{"text":1265},"Eine zukünftige Version könnte auch einige Inferenzen auf eine NPU verlagern oder eine breitere MCP-Integration einführen, aber das sollte nicht angenommen werden, bis NVIDIA es dokumentiert.",{},{"id":1268,"data":1269,"type":572,"tunes":1271},"0e31e2d54d",{"text":1270,"level":47},"Einschränkungen",{},{"id":1273,"data":1274,"type":544,"tunes":1276},"a7881e11e1",{"text":1275},"Dieser Artikel beschreibt NVIDIAs öffentliche G-Assist-Produktdokumentation und öffentliche Plug-in-Architektur mit Stand September 2026.",{},{"id":1278,"data":1279,"type":544,"tunes":1281},"71ebc16fda",{"text":1280},"NVIDIA dokumentiert nicht öffentlich jedes interne Detail seiner Wissens- und Empfehlungspipeline, daher behauptet dieser Artikel nicht, dass jede Wissensantwort RAG oder eine andere spezifische Retrieval-Implementierung verwendet.",{},{"id":1283,"data":1284,"type":544,"tunes":1286},"add780d6ba",{"text":1285},"Plug-ins von Drittanbietern können Verhalten und Netzwerkzugriff haben, die über NVIDIAs integrierte Funktionen hinausgehen, daher sollte jedes Plug-in separat bewertet werden.",{},{"id":1288,"data":1289,"type":572,"tunes":1291},"f7a38af5be",{"text":1290,"level":47},"Fazit",{},{"id":1293,"data":1294,"type":544,"tunes":1296},"f1308f3e80",{"text":1295},"Der einfachste Weg, Project G-Assist zu verstehen, ist, es nicht mehr als Chatbot zu betrachten.",{},{"id":1298,"data":1299,"type":544,"tunes":1301},"b102a861bb",{"text":1300},"Das lokale SLM interpretiert Ihre Anfrage. Wissen hilft ihm, das Problem zu verstehen. Live-Systeminformationen sagen ihm, was auf Ihrem PC tatsächlich zutrifft. Eine integrierte Funktion oder ein Plug-in definiert, was es tatsächlich tun darf. Das Tool führt die Aktion aus und gibt das Ergebnis zurück.",{},{"id":1303,"data":1304,"type":544,"tunes":1306},"da805fabf0",{"text":1305},"Das ist eine lokale Agentenarchitektur.",{},{"id":1308,"data":1309,"type":544,"tunes":1311},"675aecee06",{"text":1310},"Seine stärkste Idee ist nicht, dass ein Modell mit 8 Milliarden Parametern über Ihre GPU sprechen kann. Es ist, dass ein relativ kleines lokales Modell nützlich werden kann, wenn es mit klar definierten Werkzeugen, aktuellem Zustand und einer kontrollierten Aktionsgrenze verbunden ist.",{},{"id":1313,"data":1314,"type":572,"tunes":1316},"0354b8daaf",{"text":1315,"level":47},"FAQ",{},{"id":1318,"data":1319,"type":1350,"tunes":1351},"e75bc04532",{"items":1320,"title":1349},[1321,1325,1329,1333,1337,1341,1345],{"id":1322,"answer":1323,"question":1324},"faq1","Nein. Sein Kern-Sprachmodell läuft lokal auf der GeForce RTX GPU und kann für unterstützte lokale Funktionen offline arbeiten.","Ist G-Assist ein Cloud-Chatbot?",{"id":1326,"answer":1327,"question":1328},"faq2","NVIDIA beschreibt es derzeit als ein lokales Llama-basiertes Instruct-Modell mit 8 Milliarden Parametern.","Welches Modell verwendet G-Assist?",{"id":1330,"answer":1331,"question":1332},"faq3","Nein. Das Modell wählt eine unterstützte integrierte Funktion oder ein Plug-in aus, und dieses Tool führt die eigentliche Änderung durch.","Ändert das KI-Modell direkt meine GPU-Einstellungen?",{"id":1334,"answer":1335,"question":1336},"faq4","Ja. NVIDIA empfiehlt zusätzlichen freien VRAM für den Assistenten und warnt, dass die Inferenz die Spiele-Renderleistung kurzzeitig reduzieren kann.","Verwendet G-Assist VRAM während des Spielens?",{"id":1338,"answer":1339,"question":1340},"faq5","Nicht direkt. Das aktuelle Plug-in-Protokoll von G-Assist verwendet JSON-RPC 2.0, obwohl ein Plug-in eine Verbindung zu einem MCP-Server herstellen kann.","Sind G-Assist-Plug-ins MCP-Plug-ins?",{"id":1342,"answer":1343,"question":1344},"faq6","Sein lokaler Assistent kann das, aber einzelne Plug-ins können dennoch Internetzugang benötigen, wenn sie Online-Dienste aufrufen.","Kann G-Assist offline arbeiten?",{"id":1346,"answer":1347,"question":1348},"faq7","NVIDIA beschreibt es als einen spezialisierten PC- und Gaming-Assistenten und nicht als ein breites Allzweck-Konversationsmodell.","Ist G-Assist ein allgemeiner KI-Assistent?","NVIDIA Project G-Assist in einfachem Deutsch","faq",{},{"id":1353,"data":1354,"type":572,"tunes":1356},"8733f298cd",{"text":1355,"level":47},"Glossar",{},{"id":1358,"data":1359,"type":1394,"tunes":1395},"407257a6d1",{"title":1360,"entries":1361},"Wichtige G-Assist-Begriffe",[1362,1366,1370,1374,1378,1382,1386,1390],{"term":1363,"anchor":1364,"definition":1365},"SLM","slm","Small Language Model, ein kompaktes Sprachmodell, das für den lokalen Betrieb mit geringeren Hardwareanforderungen als große Cloud-Modelle entwickelt wurde.",{"term":1367,"anchor":1368,"definition":1369},"Tool calling","tool-calling","Der Prozess, bei dem ein Sprachmodell eine definierte Funktion auswählt und strukturierte Argumente liefert, damit eine andere Komponente eine Aktion ausführen kann.",{"term":1371,"anchor":1372,"definition":1373},"Plug-in","plugin","Eine Erweiterung, die zusätzliche Funktionen oder Integrationen für G-Assist bereitstellt.",{"term":1375,"anchor":1376,"definition":1377},"JSON-RPC 2.0","json-rpc","Das strukturierte Nachrichtenprotokoll, das vom aktuellen G-Assist Protocol V2 Plug-in-System verwendet wird.",{"term":1379,"anchor":1380,"definition":1381},"MCP","mcp","Model Context Protocol, ein separates Tool- und Kontext-Interoperabilitätsprotokoll, das einige externe Integrationen bereitstellen können.",{"term":1383,"anchor":1384,"definition":1385},"Tool-Authority Boundary","tool-authority-boundary","Ein Figure Rocks-Modell, das trennt, was ein KI-Modell verstehen kann, von dem, was seine verbundenen Tools tatsächlich zulassen.",{"term":1387,"anchor":1388,"definition":1389},"Local Agent Stack","local-agent-stack","Ein Figure Rocks-Modell, das Benutzerabsicht, lokales SLM, Wissen, Live-Zustand, Tool-Auswahl, Ausführung und Ergebnisverifikation kombiniert.",{"term":1391,"anchor":1392,"definition":1393},"Local Assistant Resource Test","local-assistant-resource-test","Ein Figure Rocks-Workflow zur Bewertung von VRAM, Inferenzkosten, Tool-Berechtigungen und Plug-in-Risiken vor der Verwendung eines lokalen Gaming-Assistenten.","glossary",{},{"id":1397,"data":1398,"type":572,"tunes":1400},"3ab856f2b4",{"text":1399,"level":47},"Primärquellen",{},{"id":1402,"data":1403,"type":1409,"tunes":1410},"367d2e3548",{"link":1404,"meta":1405},"https:\u002F\u002Fwww.nvidia.com\u002Fen-us\u002Fsoftware\u002Fnvidia-app\u002Fg-assist\u002F",{"image":1406,"title":1407,"description":1408},{"url":13},"NVIDIA — Project G-Assist","Offizielle aktuelle Produktseite mit Informationen zum lokalen Modell, unterstützten Funktionen, Reasoning- und Flash-Modi, VRAM-Anforderungen, RTX-Steuerungen, Plug-ins und der MCP-basierten Elgato-Integration in Version 0.2.2.","linkTool",{},{"id":1412,"data":1413,"type":1409,"tunes":1419},"5641b514c0",{"link":1414,"meta":1415},"https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FG-Assist",{"image":1416,"title":1417,"description":1418},{"url":13},"NVIDIA — G-Assist GitHub","Offizielles öffentliches Plug-in-Repository, das die Modularchitektur, Plug-in-Erkennung und Protocol V2 von G-Assist dokumentiert.",{},{"id":1421,"data":1422,"type":1409,"tunes":1428},"22a5b77a1b",{"link":1423,"meta":1424},"https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FG-Assist\u002Fblob\u002Fmain\u002FPLUGIN_MIGRATION_GUIDE_V2.md",{"image":1425,"title":1426,"description":1427},{"url":13},"NVIDIA — G-Assist Protocol V2 Migration Guide","Offizielle Protokolldokumentation zu JSON-RPC 2.0, Initialisierung, Health Checks, Ausführung, Streaming, Abschluss und Plug-in-SDK-Verhalten.",{},{"id":1430,"data":1431,"type":1409,"tunes":1437},"cc3301d997",{"link":1432,"meta":1433},"https:\u002F\u002Fblogs.nvidia.com\u002Fblog\u002Frtx-ai-garage-gamescom-g-assist-rtx-remix\u002F",{"image":1434,"title":1435,"description":1436},{"url":13},"NVIDIA Blog — Lightweight G-Assist Model","Offizielle Hintergrundinformationen zum G-Assist-Modell mit geringerem Speicherbedarf, zur Unterstützung von 6 GB RTX GPUs und zum Community-Plug-in-Hub.",{},"2.31","NVIDIA Project G-Assist sieht aus wie ein Chatbot, aber seine tatsächliche Architektur ähnelt eher einem lokalen KI-Agenten. Ein kleines Sprachmodell interpretiert Ihre Anfrage, der Systemzustand liefert aktuelle PC-Informationen, Tools führen echte Aktionen aus und Plug-ins erweitern, was der Assistent steuern darf.","\u002Fuploads\u002F2026\u002F09\u002Fnvidia-g-assist-is-not-just-a-chatbot-how-its-local-slm-tools-plug-ins-and-mcp-actually-work-1790407739731-smbdnv.webp","nvidia-g-assist-is-not-just-a-chatbot-how-its-local-slm-tools-plug-ins-and-mcp-actually-work-1790407739731-smbdnv","PUBLISHED","2026-09-26T03:27:00.000Z","2026-09-26T07:27:18.273Z","2026-09-26T07:34:28.920Z",{"en":1447,"de":1448,"sr":1449,"es":1450,"fr":1451,"it":1452,"ru":1453,"zh":1454},"\u002Fblog\u002Fnvidia-g-assist-is-not-just-a-chatbot-how-its-local-slm-tools-plug-ins-and-mcp-actually-work","\u002Fde\u002Fblog\u002Fnvidia-g-assist-is-not-just-a-chatbot-how-its-local-slm-tools-plug-ins-and-mcp-actually-work","\u002Fsr\u002Fblog\u002Fnvidia-g-assist-is-not-just-a-chatbot-how-its-local-slm-tools-plug-ins-and-mcp-actually-work","\u002Fes\u002Fblog\u002Fnvidia-g-assist-is-not-just-a-chatbot-how-its-local-slm-tools-plug-ins-and-mcp-actually-work","\u002Ffr\u002Fblog\u002Fnvidia-g-assist-is-not-just-a-chatbot-how-its-local-slm-tools-plug-ins-and-mcp-actually-work","\u002Fit\u002Fblog\u002Fnvidia-g-assist-is-not-just-a-chatbot-how-its-local-slm-tools-plug-ins-and-mcp-actually-work","\u002Fru\u002Fblog\u002Fnvidia-g-assist-is-not-just-a-chatbot-how-its-local-slm-tools-plug-ins-and-mcp-actually-work","\u002Fzh\u002Fblog\u002Fnvidia-g-assist-is-not-just-a-chatbot-how-its-local-slm-tools-plug-ins-and-mcp-actually-work",[1456,1460,1464,1468,1472],{"id":1457,"name":1458,"slug":1459},171,"GPUs und Treiber","gpus-and-drivers",{"id":1461,"name":1462,"slug":1463},67,"Windows und Treiber","windows-and-drivers",{"id":1465,"name":1466,"slug":1467},68,"In-Game-Einstellungen","in-game-settings",{"id":1469,"name":1470,"slug":1471},69,"Anzeige-Einstellungen","display-settings",{"id":1473,"name":1474,"slug":1475},197,"Die wichtigsten Einstellungen zuerst","best-settings-first",{"id":283,"login":1477,"email":1478,"displayName":1479},"aleksandar","aleksandar@stajic.de","Aleksandar Stajic",[1481,2184],{"lang":8,"title":1482,"content":1483,"contentJson":1484,"excerpt":2183},"NVIDIA G-Assist Is Not Just a Chatbot: How Its Local SLM, Tools, Plug-ins and MCP Actually Work","{\"time\":1790407740910,\"blocks\":[{\"id\":\"3cee674645\",\"type\":\"paragraph\",\"data\":{\"text\":\"NVIDIA Project G-Assist looks like a chatbot, but that description misses the important part. It is a local AI system that can understand a request, inspect supported PC state, choose a tool or plug-in, and then perform a real action such as changing DLSS settings, checking a driver, adjusting a fan profile or controlling a peripheral.\"},\"tunes\":{}},{\"id\":\"24a1733ca8\",\"type\":\"callout\",\"data\":{\"variant\":\"info\",\"title\":\"Direct answer\",\"body\":\"\u003Cstrong>G-Assist is not simply a chatbot for your GPU.\u003C\u002Fstrong> It is a local small language model connected to a set of allowed tools. The model interprets what you want, selects a supported function, passes arguments to that function, and the PC-side tool performs the action.\"},\"tunes\":{}},{\"id\":\"1fcbe512dc\",\"type\":\"callout\",\"data\":{\"variant\":\"note\",\"title\":\"The easiest mental model\",\"body\":\"\u003Cstrong>SLM = understands the request.\u003C\u002Fstrong>\u003Cbr>\u003Cstrong>Knowledge = explains supported NVIDIA\u002FPC concepts.\u003C\u002Fstrong>\u003Cbr>\u003Cstrong>Tools = perform actions.\u003C\u002Fstrong>\u003Cbr>\u003Cstrong>Plug-ins = add new tools.\u003C\u002Fstrong>\u003Cbr>\u003Cstrong>Your PC = the environment being inspected or changed.\u003C\u002Fstrong>\"},\"tunes\":{}},{\"id\":\"2a609230a5\",\"type\":\"tableOfContents\",\"data\":{\"title\":\"Contents\",\"minLevel\":2,\"maxLevel\":3},\"tunes\":{}},{\"id\":\"a52f97cb62\",\"type\":\"header\",\"data\":{\"text\":\"First: what is the AI model actually doing?\",\"level\":2},\"tunes\":{}},{\"id\":\"1871a0d8e6\",\"type\":\"paragraph\",\"data\":{\"text\":\"G-Assist uses a local small language model, or SLM. NVIDIA currently describes the system as using a Llama-based 8-billion-parameter instruct model.\"},\"tunes\":{}},{\"id\":\"cfbc6473c4\",\"type\":\"paragraph\",\"data\":{\"text\":\"The model's main job is not to render graphics or directly change hardware registers. Its job is to understand the user's language, decide which supported capability matches the request, and prepare the call to that capability.\"},\"tunes\":{}},{\"id\":\"53cadaaeb6\",\"type\":\"paragraph\",\"data\":{\"text\":\"For example, if you say “set DLSS Super Resolution to Performance Mode,” the language model does not itself modify DLSS. It interprets the command and routes it to the supported function that can change the setting.\"},\"tunes\":{}},{\"id\":\"5d8e508019\",\"type\":\"callout\",\"data\":{\"variant\":\"success\",\"title\":\"The important distinction\",\"body\":\"The AI model \u003Cstrong>decides what tool to call\u003C\u002Fstrong>. The tool \u003Cstrong>does the real work\u003C\u002Fstrong>.\"},\"tunes\":{}},{\"id\":\"9ce7e91c28\",\"type\":\"header\",\"data\":{\"text\":\"The G-Assist action pipeline\",\"level\":2},\"tunes\":{}},{\"id\":\"992b5d6667\",\"type\":\"processFlow\",\"data\":{\"title\":\"What happens after you give G-Assist a command\",\"orientation\":\"auto\",\"steps\":[{\"label\":\"1. You give a natural-language request\",\"description\":\"For example: “Optimize this game for performance.”\"},{\"label\":\"2. The local SLM interprets the request\",\"description\":\"It determines the user's intent and identifies which supported function or plug-in is relevant.\"},{\"label\":\"3. The system chooses a tool\",\"description\":\"That could be a built-in graphics-setting function, driver check, monitoring function or community plug-in.\"},{\"label\":\"4. Arguments are extracted\",\"description\":\"The model converts the request into structured values such as game name, mode, fan profile or DLSS setting.\"},{\"label\":\"5. The tool executes\",\"description\":\"The tool talks to the NVIDIA App, operating system, peripheral software or another service.\"},{\"label\":\"6. The result is returned\",\"description\":\"G-Assist reports what happened, or returns data that the model can explain.\"}]},\"tunes\":{}},{\"id\":\"aba1e38958\",\"type\":\"header\",\"data\":{\"text\":\"This is tool calling, not magic PC control\",\"level\":2},\"tunes\":{}},{\"id\":\"0a7cb6107d\",\"type\":\"paragraph\",\"data\":{\"text\":\"A language model cannot safely control an arbitrary computer simply because it understands English.\"},\"tunes\":{}},{\"id\":\"31191a478c\",\"type\":\"paragraph\",\"data\":{\"text\":\"It needs a defined interface that says which actions exist, which arguments they accept and what the tool returns.\"},\"tunes\":{}},{\"id\":\"af3d1a846f\",\"type\":\"paragraph\",\"data\":{\"text\":\"G-Assist's current built-in capabilities include functions such as optimizing graphics settings, changing supported RTX options, checking or downloading drivers, showing performance information, changing some laptop power features, controlling supported monitor functions and using supported peripheral plug-ins.\"},\"tunes\":{}},{\"id\":\"d6fd0eb144\",\"type\":\"comparison\",\"data\":{\"title\":\"Language model vs tool\",\"layout\":\"table\",\"columns\":[{\"id\":\"model\",\"label\":\"Language model\"},{\"id\":\"tool\",\"label\":\"Tool \u002F plug-in\"}],\"rows\":[{\"id\":\"understand\",\"label\":\"Understand “turn on DLSS”\",\"values\":[\"\",\"\"]},{\"id\":\"decide\",\"label\":\"Choose the correct function\",\"values\":[\"\",\"\"]},{\"id\":\"change\",\"label\":\"Actually change the setting\",\"values\":[\"\",\"\"]},{\"id\":\"explain\",\"label\":\"Explain the result\",\"values\":[\"\",\"\"]}]},\"tunes\":{}},{\"id\":\"1537be641c\",\"type\":\"header\",\"data\":{\"text\":\"What is the knowledge layer?\",\"level\":2},\"tunes\":{}},{\"id\":\"1db6e2e4b5\",\"type\":\"paragraph\",\"data\":{\"text\":\"G-Assist also has a knowledge layer for answering questions and making recommendations.\"},\"tunes\":{}},{\"id\":\"616d72b881\",\"type\":\"paragraph\",\"data\":{\"text\":\"NVIDIA says version 0.2.1 introduced an improved knowledge system that helps G-Assist make more accurate settings recommendations.\"},\"tunes\":{}},{\"id\":\"eb987c41e5\",\"type\":\"paragraph\",\"data\":{\"text\":\"That knowledge layer is different from the live state of your PC.\"},\"tunes\":{}},{\"id\":\"bf6a4f5502\",\"type\":\"comparison\",\"data\":{\"title\":\"Knowledge vs live PC state\",\"layout\":\"table\",\"columns\":[{\"id\":\"knowledge\",\"label\":\"Knowledge\"},{\"id\":\"state\",\"label\":\"Live state\"}],\"rows\":[{\"id\":\"gpu\",\"label\":\"GPU\",\"values\":[\"\",\"\"]},{\"id\":\"game\",\"label\":\"Game settings\",\"values\":[\"\",\"\"]},{\"id\":\"system\",\"label\":\"Performance\",\"values\":[\"\",\"\"]}]},\"tunes\":{}},{\"id\":\"2bac13ef99\",\"type\":\"callout\",\"data\":{\"variant\":\"warning\",\"title\":\"Do not mix knowledge with state\",\"body\":\"\u003Cstrong>Knowledge\u003C\u002Fstrong> tells the assistant what a feature means or what usually matters.\u003Cbr>\u003Cstrong>State\u003C\u002Fstrong> tells it what is true on your machine right now.\"},\"tunes\":{}},{\"id\":\"73708d5e0d\",\"type\":\"referralArticle\",\"data\":{\"url\":\"https:\u002F\u002Fstajic.de\u002Fblog\u002Fwhat-is-rag-the-simplest-explanation-of-how-it-works\",\"title\":\"What Is RAG? The Simplest Explanation of How It Works\",\"excerpt\":\"A plain-English explanation of knowledge retrieval, state, memory, context and the language model.\",\"ctaLabel\":\"Read the simple RAG guide\"},\"tunes\":{}},{\"id\":\"acbb9b7940\",\"type\":\"header\",\"data\":{\"text\":\"Does G-Assist use RAG?\",\"level\":2},\"tunes\":{}},{\"id\":\"ce0371e492\",\"type\":\"paragraph\",\"data\":{\"text\":\"The safest answer is: G-Assist clearly has a knowledge system, but NVIDIA's public product page does not document every internal retrieval mechanism in enough detail to say that every knowledge answer is specifically produced by RAG.\"},\"tunes\":{}},{\"id\":\"c2226e5ec5\",\"type\":\"paragraph\",\"data\":{\"text\":\"The architectural distinction still matters. A retrieval layer can provide relevant knowledge, while system tools provide current PC state and perform actions.\"},\"tunes\":{}},{\"id\":\"e5137fc2c8\",\"type\":\"paragraph\",\"data\":{\"text\":\"That is the same separation used in many modern agents: knowledge is one source of context, live observations are another, and tool execution is a third.\"},\"tunes\":{}},{\"id\":\"059b89dedb\",\"type\":\"header\",\"data\":{\"text\":\"Why G-Assist can work offline\",\"level\":2},\"tunes\":{}},{\"id\":\"19447df6a4\",\"type\":\"paragraph\",\"data\":{\"text\":\"NVIDIA runs the language model locally on the GeForce RTX GPU.\"},\"tunes\":{}},{\"id\":\"55aee6ada7\",\"type\":\"paragraph\",\"data\":{\"text\":\"That means the core assistant does not require a cloud-hosted language model for every prompt.\"},\"tunes\":{}},{\"id\":\"f265d1fd96\",\"type\":\"paragraph\",\"data\":{\"text\":\"NVIDIA explicitly says G-Assist can run offline for its local capabilities.\"},\"tunes\":{}},{\"id\":\"1dc8613200\",\"type\":\"paragraph\",\"data\":{\"text\":\"A plug-in can still use the internet if that plug-in calls an online service. Local model execution and online plug-in access are separate questions.\"},\"tunes\":{}},{\"id\":\"ee01c97a66\",\"type\":\"header\",\"data\":{\"text\":\"The local-AI cost: G-Assist uses your GPU and VRAM\",\"level\":2},\"tunes\":{}},{\"id\":\"1784ad3fcf\",\"type\":\"paragraph\",\"data\":{\"text\":\"Running locally gives privacy and independence from a cloud model, but the work has to execute somewhere.\"},\"tunes\":{}},{\"id\":\"1275ab759f\",\"type\":\"paragraph\",\"data\":{\"text\":\"For G-Assist, that somewhere is the same GeForce RTX GPU that may already be rendering your game.\"},\"tunes\":{}},{\"id\":\"cec86f847a\",\"type\":\"paragraph\",\"data\":{\"text\":\"NVIDIA warns that the GPU briefly allocates compute resources to AI inference when G-Assist responds. If a demanding game is running at the same time, the game can temporarily lose some rendering performance while the model is active.\"},\"tunes\":{}},{\"id\":\"e6ea700df6\",\"type\":\"paragraph\",\"data\":{\"text\":\"The current requirements also specify free-VRAM targets beyond the memory already used by the game: approximately 6 GB of free VRAM for Reasoning Mode and 4.5 GB for Flash Mode.\"},\"tunes\":{}},{\"id\":\"2126f74de5\",\"type\":\"callout\",\"data\":{\"variant\":\"warning\",\"title\":\"8 GB VRAM does not mean 8 GB is available to G-Assist\",\"body\":\"The game, Windows, the driver and other applications already consume VRAM. G-Assist's own requirement is about \u003Cstrong>free VRAM in addition to what the running workload already uses\u003C\u002Fstrong>.\"},\"tunes\":{}},{\"id\":\"13c0dcb3f3\",\"type\":\"referralArticle\",\"data\":{\"url\":\"https:\u002F\u002Ffigure.rocks\u002Fblog\u002Fvram-usage-is-not-vram-requirement-why-a-full-memory-meter-does-not-tell-the-whole-story\",\"title\":\"VRAM Usage Is Not VRAM Requirement: Why a Full Memory Meter Does Not Tell the Whole Story\",\"excerpt\":\"Why installed VRAM, current usage, residency budgets and real memory pressure are different things.\",\"ctaLabel\":\"Read the VRAM guide\"},\"tunes\":{}},{\"id\":\"d684b2c1c8\",\"type\":\"header\",\"data\":{\"text\":\"Reasoning Mode vs Flash Mode\",\"level\":2},\"tunes\":{}},{\"id\":\"3c1f2379db\",\"type\":\"paragraph\",\"data\":{\"text\":\"Current G-Assist versions separate a more capable Reasoning Mode from a faster Flash Mode.\"},\"tunes\":{}},{\"id\":\"86f50ebd33\",\"type\":\"paragraph\",\"data\":{\"text\":\"Reasoning Mode is designed for higher-quality decisions and can coordinate multiple actions from one prompt. Flash Mode is optimized for faster responses and lower resource demand.\"},\"tunes\":{}},{\"id\":\"e7be4789db\",\"type\":\"comparison\",\"data\":{\"title\":\"Reasoning Mode vs Flash Mode\",\"layout\":\"table\",\"columns\":[{\"id\":\"reasoning\",\"label\":\"Reasoning Mode\"},{\"id\":\"flash\",\"label\":\"Flash Mode\"}],\"rows\":[{\"id\":\"goal\",\"label\":\"Primary goal\",\"values\":[\"\",\"\"]},{\"id\":\"vram\",\"label\":\"Recommended free VRAM\",\"values\":[\"\",\"\"]},{\"id\":\"use\",\"label\":\"Best fit\",\"values\":[\"\",\"\"]}]},\"tunes\":{}},{\"id\":\"cef1bcf553\",\"type\":\"header\",\"data\":{\"text\":\"What plug-ins actually add\",\"level\":2},\"tunes\":{}},{\"id\":\"d380d5e28b\",\"type\":\"paragraph\",\"data\":{\"text\":\"A plug-in does not replace the language model. It gives the model a new action it is allowed to call.\"},\"tunes\":{}},{\"id\":\"434979ebda\",\"type\":\"paragraph\",\"data\":{\"text\":\"The plug-in defines functions, descriptions and parameters. G-Assist reads those descriptions, matches a user request to the appropriate function and sends structured arguments to it.\"},\"tunes\":{}},{\"id\":\"21ebe69c79\",\"type\":\"paragraph\",\"data\":{\"text\":\"That lets the assistant grow beyond NVIDIA's built-in functions.\"},\"tunes\":{}},{\"id\":\"d0ba7ef284\",\"type\":\"processFlow\",\"data\":{\"title\":\"How a G-Assist plug-in works\",\"orientation\":\"auto\",\"steps\":[{\"label\":\"1. Plug-in declares a function\",\"description\":\"For example: set_keyboard_color(color).\"},{\"label\":\"2. Manifest describes the function\",\"description\":\"The manifest tells G-Assist what the function does and what parameters it needs.\"},{\"label\":\"3. User asks naturally\",\"description\":\"For example: “Make my keyboard green.”\"},{\"label\":\"4. SLM selects the function\",\"description\":\"The model maps the request to the plug-in function and extracts green as the parameter.\"},{\"label\":\"5. Plug-in executes\",\"description\":\"The plug-in talks to the peripheral software or external service.\"}]},\"tunes\":{}},{\"id\":\"1dc857ce2f\",\"type\":\"header\",\"data\":{\"text\":\"G-Assist Protocol V2 is JSON-RPC 2.0\",\"level\":2},\"tunes\":{}},{\"id\":\"02bdb0566d\",\"type\":\"paragraph\",\"data\":{\"text\":\"NVIDIA's current public plug-in repository uses Protocol V2.\"},\"tunes\":{}},{\"id\":\"f82da294cf\",\"type\":\"paragraph\",\"data\":{\"text\":\"Protocol V2 uses JSON-RPC 2.0 with length-prefixed messages between the G-Assist engine and plug-ins.\"},\"tunes\":{}},{\"id\":\"530c3cf9b9\",\"type\":\"paragraph\",\"data\":{\"text\":\"The engine can initialize a plug-in, check its health, execute a function, send user input and shut it down. Plug-ins can return results, stream progress or report errors.\"},\"tunes\":{}},{\"id\":\"2ce3fa5d75\",\"type\":\"comparison\",\"data\":{\"title\":\"The important Protocol V2 messages\",\"layout\":\"table\",\"columns\":[{\"id\":\"direction\",\"label\":\"Direction\"},{\"id\":\"purpose\",\"label\":\"Purpose\"}],\"rows\":[{\"id\":\"initialize\",\"label\":\"initialize\",\"values\":[\"\",\"\"]},{\"id\":\"ping\",\"label\":\"ping\",\"values\":[\"\",\"\"]},{\"id\":\"execute\",\"label\":\"execute\",\"values\":[\"\",\"\"]},{\"id\":\"stream\",\"label\":\"stream\",\"values\":[\"\",\"\"]},{\"id\":\"complete\",\"label\":\"complete\",\"values\":[\"\",\"\"]}]},\"tunes\":{}},{\"id\":\"304fbd9944\",\"type\":\"header\",\"data\":{\"text\":\"Where MCP enters the picture\",\"level\":2},\"tunes\":{}},{\"id\":\"fae73881e4\",\"type\":\"paragraph\",\"data\":{\"text\":\"G-Assist's own plug-in protocol is not MCP. Its current public plug-in system uses JSON-RPC 2.0.\"},\"tunes\":{}},{\"id\":\"551d11710a\",\"type\":\"paragraph\",\"data\":{\"text\":\"However, a G-Assist plug-in can connect to an MCP server.\"},\"tunes\":{}},{\"id\":\"0537fb222a\",\"type\":\"paragraph\",\"data\":{\"text\":\"NVIDIA's current version 0.2.2 includes an Elgato integration that can invoke actions exposed through the Elgato Stream Deck MCP server.\"},\"tunes\":{}},{\"id\":\"760a86ad19\",\"type\":\"callout\",\"data\":{\"variant\":\"success\",\"title\":\"Important protocol distinction\",\"body\":\"\u003Cstrong>G-Assist ↔ its plug-in:\u003C\u002Fstrong> NVIDIA Protocol V2 \u002F JSON-RPC 2.0.\u003Cbr>\u003Cstrong>Plug-in ↔ another tool ecosystem:\u003C\u002Fstrong> can use MCP when that integration supports it.\"},\"tunes\":{}},{\"id\":\"bd182f72b0\",\"type\":\"header\",\"data\":{\"text\":\"Why this matters beyond RGB lights\",\"level\":2},\"tunes\":{}},{\"id\":\"d072506ce2\",\"type\":\"paragraph\",\"data\":{\"text\":\"The plug-in architecture turns G-Assist from a fixed assistant into a local tool router.\"},\"tunes\":{}},{\"id\":\"2876e067dc\",\"type\":\"paragraph\",\"data\":{\"text\":\"The same pattern can connect an SLM to monitoring tools, peripherals, APIs, automation systems, local applications or external services.\"},\"tunes\":{}},{\"id\":\"37689640e9\",\"type\":\"paragraph\",\"data\":{\"text\":\"The important architectural unit is therefore not the chat window. It is the boundary between natural-language intent and structured tool execution.\"},\"tunes\":{}},{\"id\":\"550fbb42d4\",\"type\":\"header\",\"data\":{\"text\":\"The Local Agent Stack\",\"level\":2},\"tunes\":{}},{\"id\":\"8518dbf820\",\"type\":\"processFlow\",\"data\":{\"title\":\"A useful way to think about G-Assist\",\"orientation\":\"auto\",\"steps\":[{\"label\":\"1. User intent\",\"description\":\"Natural language or voice command.\"},{\"label\":\"2. Local SLM\",\"description\":\"Understands the request and chooses a capability.\"},{\"label\":\"3. Knowledge \u002F context\",\"description\":\"Provides product knowledge, recommendations or information needed for the decision.\"},{\"label\":\"4. Live system state\",\"description\":\"Provides current hardware, driver, performance or configuration information when supported.\"},{\"label\":\"5. Tool selection\",\"description\":\"Built-in function or plug-in is chosen.\"},{\"label\":\"6. Structured execution\",\"description\":\"The function receives arguments and performs the real action.\"},{\"label\":\"7. Result verification\",\"description\":\"The tool returns status or data and the model explains what happened.\"}]},\"tunes\":{}},{\"id\":\"6c976db763\",\"type\":\"header\",\"data\":{\"text\":\"Why tool boundaries are a safety feature\",\"level\":2},\"tunes\":{}},{\"id\":\"ba65a3b467\",\"type\":\"paragraph\",\"data\":{\"text\":\"An AI assistant that could execute arbitrary operating-system commands would be far more powerful, but also much harder to constrain.\"},\"tunes\":{}},{\"id\":\"a932df9663\",\"type\":\"paragraph\",\"data\":{\"text\":\"G-Assist instead exposes defined functions with known parameters.\"},\"tunes\":{}},{\"id\":\"7d1d45c83d\",\"type\":\"paragraph\",\"data\":{\"text\":\"That means the model can only perform actions that the built-in function set or installed plug-ins make available.\"},\"tunes\":{}},{\"id\":\"10460fda21\",\"type\":\"paragraph\",\"data\":{\"text\":\"This does not remove all risk, especially with third-party plug-ins, but it creates a clearer permission and capability boundary than unrestricted shell access.\"},\"tunes\":{}},{\"id\":\"25049448ea\",\"type\":\"header\",\"data\":{\"text\":\"The Tool-Authority Boundary\",\"level\":2},\"tunes\":{}},{\"id\":\"d3ff568795\",\"type\":\"comparison\",\"data\":{\"title\":\"What the assistant can understand vs what it is allowed to do\",\"layout\":\"table\",\"columns\":[{\"id\":\"understand\",\"label\":\"Model may understand\"},{\"id\":\"authority\",\"label\":\"Tool authority\"}],\"rows\":[{\"id\":\"gpu\",\"label\":\"GPU tuning\",\"values\":[\"\",\"\"]},{\"id\":\"files\",\"label\":\"Files\",\"values\":[\"\",\"\"]},{\"id\":\"web\",\"label\":\"Internet\",\"values\":[\"\",\"\"]},{\"id\":\"device\",\"label\":\"Peripheral control\",\"values\":[\"\",\"\"]}]},\"tunes\":{}},{\"id\":\"8fd8e35c51\",\"type\":\"header\",\"data\":{\"text\":\"Why G-Assist can temporarily reduce game performance\",\"level\":2},\"tunes\":{}},{\"id\":\"f75234546f\",\"type\":\"paragraph\",\"data\":{\"text\":\"The local-model architecture has a straightforward consequence: the AI and the game can compete for the same GPU.\"},\"tunes\":{}},{\"id\":\"28bc054afa\",\"type\":\"paragraph\",\"data\":{\"text\":\"NVIDIA explicitly warns that render rate or inference speed can briefly dip while G-Assist is processing a request during a GPU-heavy workload.\"},\"tunes\":{}},{\"id\":\"0823573513\",\"type\":\"paragraph\",\"data\":{\"text\":\"Once inference finishes, those GPU resources return to the game.\"},\"tunes\":{}},{\"id\":\"905eed843d\",\"type\":\"paragraph\",\"data\":{\"text\":\"This is different from a cloud assistant, where most model inference happens on a remote server and does not consume the gaming GPU.\"},\"tunes\":{}},{\"id\":\"839c0e3988\",\"type\":\"header\",\"data\":{\"text\":\"The Local Assistant Resource Test\",\"level\":2},\"tunes\":{}},{\"id\":\"affa0ee1b3\",\"type\":\"processFlow\",\"data\":{\"title\":\"How to judge whether a local gaming assistant fits your PC\",\"orientation\":\"auto\",\"steps\":[{\"label\":\"1. Check installed VRAM\",\"description\":\"The current G-Assist baseline is an RTX GPU with at least 6 GB VRAM.\"},{\"label\":\"2. Check free VRAM during the actual game\",\"description\":\"Installed capacity is not the same as free capacity.\"},{\"label\":\"3. Choose Reasoning or Flash Mode appropriately\",\"description\":\"Use the lighter mode when resource pressure matters more than deep reasoning.\"},{\"label\":\"4. Measure inference-time frame-rate dips\",\"description\":\"Watch the game while asking G-Assist to perform tasks.\"},{\"label\":\"5. Inspect tool authority\",\"description\":\"Know exactly which built-in functions and plug-ins can change your system.\"},{\"label\":\"6. Treat third-party plug-ins as software\",\"description\":\"Review their source, permissions, network access and stored credentials.\"}]},\"tunes\":{}},{\"id\":\"ca52c48d2e\",\"type\":\"header\",\"data\":{\"text\":\"Why plug-ins deserve the same scrutiny as any other software\",\"level\":2},\"tunes\":{}},{\"id\":\"8e6a760529\",\"type\":\"paragraph\",\"data\":{\"text\":\"A plug-in can connect the assistant to APIs, peripheral applications and online services.\"},\"tunes\":{}},{\"id\":\"be793240e1\",\"type\":\"paragraph\",\"data\":{\"text\":\"That means a plug-in may handle configuration values, credentials or external requests depending on what it was built to do.\"},\"tunes\":{}},{\"id\":\"3c6c4c9aaf\",\"type\":\"paragraph\",\"data\":{\"text\":\"NVIDIA's repository explicitly provides a config.json location for plug-in settings and warns developers not to commit credentials.\"},\"tunes\":{}},{\"id\":\"03413f935a\",\"type\":\"paragraph\",\"data\":{\"text\":\"The correct security question is therefore not only “Is G-Assist local?” but also “What does each installed plug-in connect to?”\"},\"tunes\":{}},{\"id\":\"f473162e86\",\"type\":\"header\",\"data\":{\"text\":\"G-Assist is closer to an agent than a chatbot\",\"level\":2},\"tunes\":{}},{\"id\":\"59dd3df9c2\",\"type\":\"paragraph\",\"data\":{\"text\":\"A chatbot mainly produces language.\"},\"tunes\":{}},{\"id\":\"188cb4bb40\",\"type\":\"paragraph\",\"data\":{\"text\":\"An agent interprets a goal, observes relevant information, chooses an action, calls a tool and evaluates the result.\"},\"tunes\":{}},{\"id\":\"117d1032f1\",\"type\":\"paragraph\",\"data\":{\"text\":\"G-Assist now fits that second description much more closely because it can coordinate multiple actions, inspect supported PC state and invoke real tools.\"},\"tunes\":{}},{\"id\":\"ef132fc518\",\"type\":\"referralArticle\",\"data\":{\"url\":\"https:\u002F\u002Ffigure.rocks\u002Fblog\u002Fpubg-ally-shows-why-ai-teammates-need-two-brains-fast-reflexes-and-slow-reasoning\",\"title\":\"PUBG Ally Shows Why AI Teammates Need Two Brains: Fast Reflexes and Slow Reasoning\",\"excerpt\":\"A game-agent architecture example showing the separation between reasoning, live state, tools and deterministic execution.\",\"ctaLabel\":\"Read the PUBG Ally architecture guide\"},\"tunes\":{}},{\"id\":\"9f8fa308a5\",\"type\":\"header\",\"data\":{\"text\":\"What G-Assist still is not\",\"level\":2},\"tunes\":{}},{\"id\":\"f5f24e8aa3\",\"type\":\"paragraph\",\"data\":{\"text\":\"NVIDIA explicitly describes G-Assist as a specialized local assistant, not a general-purpose conversational AI.\"},\"tunes\":{}},{\"id\":\"e4d187593f\",\"type\":\"paragraph\",\"data\":{\"text\":\"Its value comes from understanding a focused set of PC and gaming tasks and having tools connected to those tasks.\"},\"tunes\":{}},{\"id\":\"0c1b7f8948\",\"type\":\"paragraph\",\"data\":{\"text\":\"That focus is important because a smaller local model can be useful when the surrounding system gives it strong tools and clear boundaries.\"},\"tunes\":{}},{\"id\":\"79a5920e77\",\"type\":\"header\",\"data\":{\"text\":\"What changed in the current versions?\",\"level\":2},\"tunes\":{}},{\"id\":\"e78d96ef6c\",\"type\":\"paragraph\",\"data\":{\"text\":\"The current public release history shows G-Assist moving steadily toward a more capable local agent.\"},\"tunes\":{}},{\"id\":\"87dd1d3d3c\",\"type\":\"table\",\"data\":{\"withHeadings\":true,\"stretched\":false,\"content\":[[\"Version\",\"Important change\"],[\"0.1.17\",\"Lighter model, all RTX GPUs with 6 GB+ VRAM, community plug-ins\"],[\"0.1.18\",\"Laptop optimization, BatteryBoost and WhisperMode controls\"],[\"0.2\",\"Reasoning Mode, Flash Mode, multi-action prompts, new device controls\"],[\"0.2.1\",\"Improved knowledge system, better recommendations, RTX feature controls\"],[\"0.2.2\",\"Elgato Stream Deck integration through an MCP server\"]]},\"tunes\":{}},{\"id\":\"09bde21a8d\",\"type\":\"header\",\"data\":{\"text\":\"What would change this answer?\",\"level\":2},\"tunes\":{}},{\"id\":\"b0e7ca01a4\",\"type\":\"paragraph\",\"data\":{\"text\":\"G-Assist is still experimental and its architecture is evolving.\"},\"tunes\":{}},{\"id\":\"537568c224\",\"type\":\"paragraph\",\"data\":{\"text\":\"The model size, VRAM requirements, tool set, plug-in protocol and hardware support can all change in future releases.\"},\"tunes\":{}},{\"id\":\"fe24516c11\",\"type\":\"paragraph\",\"data\":{\"text\":\"A future version could also move some inference to an NPU or introduce broader MCP integration, but that should not be assumed until NVIDIA documents it.\"},\"tunes\":{}},{\"id\":\"0e31e2d54d\",\"type\":\"header\",\"data\":{\"text\":\"Limitations\",\"level\":2},\"tunes\":{}},{\"id\":\"a7881e11e1\",\"type\":\"paragraph\",\"data\":{\"text\":\"This article describes NVIDIA's public G-Assist product documentation and public plug-in architecture as of September 2026.\"},\"tunes\":{}},{\"id\":\"71ebc16fda\",\"type\":\"paragraph\",\"data\":{\"text\":\"NVIDIA does not publicly document every internal detail of its knowledge and recommendation pipeline, so this article does not claim that every knowledge answer uses RAG or any other specific retrieval implementation.\"},\"tunes\":{}},{\"id\":\"add780d6ba\",\"type\":\"paragraph\",\"data\":{\"text\":\"Third-party plug-ins can have behavior and network access beyond NVIDIA's built-in functions, so each plug-in should be evaluated separately.\"},\"tunes\":{}},{\"id\":\"f7a38af5be\",\"type\":\"header\",\"data\":{\"text\":\"Conclusion\",\"level\":2},\"tunes\":{}},{\"id\":\"f1308f3e80\",\"type\":\"paragraph\",\"data\":{\"text\":\"The easiest way to understand Project G-Assist is to stop thinking of it as a chatbot.\"},\"tunes\":{}},{\"id\":\"b102a861bb\",\"type\":\"paragraph\",\"data\":{\"text\":\"The local SLM interprets your request. Knowledge helps it understand the problem. Live system information tells it what is true on your PC. A built-in function or plug-in defines what it is actually allowed to do. The tool performs the action and returns the result.\"},\"tunes\":{}},{\"id\":\"da805fabf0\",\"type\":\"paragraph\",\"data\":{\"text\":\"That is a local agent architecture.\"},\"tunes\":{}},{\"id\":\"675aecee06\",\"type\":\"paragraph\",\"data\":{\"text\":\"Its strongest idea is not that an 8-billion-parameter model can talk about your GPU. It is that a relatively small local model can become useful when it is connected to well-defined tools, current state and a controlled action boundary.\"},\"tunes\":{}},{\"id\":\"0354b8daaf\",\"type\":\"header\",\"data\":{\"text\":\"FAQ\",\"level\":2},\"tunes\":{}},{\"id\":\"e75bc04532\",\"type\":\"faq\",\"data\":{\"title\":\"NVIDIA Project G-Assist in plain English\",\"items\":[{\"id\":\"faq1\",\"question\":\"Is G-Assist a cloud chatbot?\",\"answer\":\"No. Its core language model runs locally on the GeForce RTX GPU and can work offline for supported local functions.\"},{\"id\":\"faq2\",\"question\":\"What model does G-Assist use?\",\"answer\":\"NVIDIA currently describes it as a local Llama-based instruct model with 8 billion parameters.\"},{\"id\":\"faq3\",\"question\":\"Does the AI model directly change my GPU settings?\",\"answer\":\"No. The model selects a supported built-in function or plug-in, and that tool performs the actual change.\"},{\"id\":\"faq4\",\"question\":\"Does G-Assist use VRAM while gaming?\",\"answer\":\"Yes. NVIDIA recommends additional free VRAM for the assistant and warns that inference can briefly reduce game render performance.\"},{\"id\":\"faq5\",\"question\":\"Are G-Assist plug-ins MCP plug-ins?\",\"answer\":\"Not directly. G-Assist's own current plug-in protocol uses JSON-RPC 2.0, although a plug-in can connect to an MCP server.\"},{\"id\":\"faq6\",\"question\":\"Can G-Assist work offline?\",\"answer\":\"Its local assistant can, but individual plug-ins may still require internet access if they call online services.\"},{\"id\":\"faq7\",\"question\":\"Is G-Assist a general AI assistant?\",\"answer\":\"NVIDIA describes it as a specialized PC and gaming assistant rather than a broad general-purpose conversational model.\"}]},\"tunes\":{}},{\"id\":\"8733f298cd\",\"type\":\"header\",\"data\":{\"text\":\"Glossary\",\"level\":2},\"tunes\":{}},{\"id\":\"407257a6d1\",\"type\":\"glossary\",\"data\":{\"title\":\"Key G-Assist terms\",\"entries\":[{\"term\":\"SLM\",\"definition\":\"Small Language Model, a compact language model designed to run locally with lower hardware requirements than large cloud models.\",\"anchor\":\"slm\"},{\"term\":\"Tool calling\",\"definition\":\"The process where a language model chooses a defined function and supplies structured arguments so another component can perform an action.\",\"anchor\":\"tool-calling\"},{\"term\":\"Plug-in\",\"definition\":\"An extension that exposes additional functions or integrations to G-Assist.\",\"anchor\":\"plugin\"},{\"term\":\"JSON-RPC 2.0\",\"definition\":\"The structured message protocol used by the current G-Assist Protocol V2 plug-in system.\",\"anchor\":\"json-rpc\"},{\"term\":\"MCP\",\"definition\":\"Model Context Protocol, a separate tool and context interoperability protocol that some external integrations can expose.\",\"anchor\":\"mcp\"},{\"term\":\"Tool-Authority Boundary\",\"definition\":\"A Figure Rocks model separating what an AI model can understand from what its connected tools actually allow it to do.\",\"anchor\":\"tool-authority-boundary\"},{\"term\":\"Local Agent Stack\",\"definition\":\"A Figure Rocks model combining user intent, local SLM, knowledge, live state, tool selection, execution and result verification.\",\"anchor\":\"local-agent-stack\"},{\"term\":\"Local Assistant Resource Test\",\"definition\":\"A Figure Rocks workflow for evaluating VRAM, inference cost, tool permissions and plug-in risk before using a local gaming assistant.\",\"anchor\":\"local-assistant-resource-test\"}]},\"tunes\":{}},{\"id\":\"3ab856f2b4\",\"type\":\"header\",\"data\":{\"text\":\"Primary sources\",\"level\":2},\"tunes\":{}},{\"id\":\"367d2e3548\",\"type\":\"linkTool\",\"data\":{\"link\":\"https:\u002F\u002Fwww.nvidia.com\u002Fen-us\u002Fsoftware\u002Fnvidia-app\u002Fg-assist\u002F\",\"meta\":{\"image\":{\"url\":\"\"},\"title\":\"NVIDIA — Project G-Assist\",\"description\":\"Official current product page covering the local model, supported functions, Reasoning and Flash modes, VRAM requirements, RTX controls, plug-ins and version 0.2.2 MCP-based Elgato integration.\"}},\"tunes\":{}},{\"id\":\"5641b514c0\",\"type\":\"linkTool\",\"data\":{\"link\":\"https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FG-Assist\",\"meta\":{\"image\":{\"url\":\"\"},\"title\":\"NVIDIA — G-Assist GitHub\",\"description\":\"Official public plug-in repository documenting G-Assist's module architecture, plug-in discovery and Protocol V2.\"}},\"tunes\":{}},{\"id\":\"22a5b77a1b\",\"type\":\"linkTool\",\"data\":{\"link\":\"https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FG-Assist\u002Fblob\u002Fmain\u002FPLUGIN_MIGRATION_GUIDE_V2.md\",\"meta\":{\"image\":{\"url\":\"\"},\"title\":\"NVIDIA — G-Assist Protocol V2 Migration Guide\",\"description\":\"Official protocol documentation covering JSON-RPC 2.0, initialization, health checks, execution, streaming, completion and plug-in SDK behavior.\"}},\"tunes\":{}},{\"id\":\"cc3301d997\",\"type\":\"linkTool\",\"data\":{\"link\":\"https:\u002F\u002Fblogs.nvidia.com\u002Fblog\u002Frtx-ai-garage-gamescom-g-assist-rtx-remix\u002F\",\"meta\":{\"image\":{\"url\":\"\"},\"title\":\"NVIDIA Blog — Lightweight G-Assist Model\",\"description\":\"Official background on the lower-memory G-Assist model, support for 6 GB RTX GPUs and the community plug-in hub.\"}},\"tunes\":{}}],\"version\":\"2.31.6\"}",{"time":1485,"blocks":1486,"version":2182},1790407740910,[1487,1491,1496,1501,1505,1509,1513,1517,1521,1526,1530,1553,1557,1561,1565,1569,1591,1595,1599,1603,1607,1625,1630,1636,1640,1644,1648,1652,1656,1660,1664,1668,1672,1676,1680,1684,1688,1692,1697,1704,1708,1712,1716,1734,1738,1742,1746,1750,1770,1774,1778,1782,1786,1806,1810,1814,1818,1822,1827,1831,1835,1839,1843,1847,1873,1877,1881,1885,1889,1893,1897,1918,1922,1926,1930,1934,1938,1942,1965,1969,1973,1977,1981,1985,1989,1993,1997,2001,2008,2012,2016,2020,2024,2028,2032,2048,2052,2056,2060,2064,2068,2072,2076,2080,2084,2088,2092,2096,2100,2103,2129,2133,2154,2158,2164,2170,2176],{"id":541,"data":1488,"type":544,"tunes":1490},{"text":1489},"NVIDIA Project G-Assist looks like a chatbot, but that description misses the important part. It is a local AI system that can understand a request, inspect supported PC state, choose a tool or plug-in, and then perform a real action such as changing DLSS settings, checking a driver, adjusting a fan profile or controlling a peripheral.",{},{"id":547,"data":1492,"type":552,"tunes":1495},{"body":1493,"title":1494,"variant":551},"\u003Cstrong>G-Assist is not simply a chatbot for your GPU.\u003C\u002Fstrong> It is a local small language model connected to a set of allowed tools. The model interprets what you want, selects a supported function, passes arguments to that function, and the PC-side tool performs the action.","Direct answer",{},{"id":555,"data":1497,"type":552,"tunes":1500},{"body":1498,"title":1499,"variant":559},"\u003Cstrong>SLM = understands the request.\u003C\u002Fstrong>\u003Cbr>\u003Cstrong>Knowledge = explains supported NVIDIA\u002FPC concepts.\u003C\u002Fstrong>\u003Cbr>\u003Cstrong>Tools = perform actions.\u003C\u002Fstrong>\u003Cbr>\u003Cstrong>Plug-ins = add new tools.\u003C\u002Fstrong>\u003Cbr>\u003Cstrong>Your PC = the environment being inspected or changed.\u003C\u002Fstrong>","The easiest mental model",{},{"id":562,"data":1502,"type":566,"tunes":1504},{"title":1503,"maxLevel":565,"minLevel":47},"Contents",{},{"id":569,"data":1506,"type":572,"tunes":1508},{"text":1507,"level":47},"First: what is the AI model actually doing?",{},{"id":575,"data":1510,"type":544,"tunes":1512},{"text":1511},"G-Assist uses a local small language model, or SLM. NVIDIA currently describes the system as using a Llama-based 8-billion-parameter instruct model.",{},{"id":580,"data":1514,"type":544,"tunes":1516},{"text":1515},"The model's main job is not to render graphics or directly change hardware registers. Its job is to understand the user's language, decide which supported capability matches the request, and prepare the call to that capability.",{},{"id":585,"data":1518,"type":544,"tunes":1520},{"text":1519},"For example, if you say “set DLSS Super Resolution to Performance Mode,” the language model does not itself modify DLSS. It interprets the command and routes it to the supported function that can change the setting.",{},{"id":590,"data":1522,"type":552,"tunes":1525},{"body":1523,"title":1524,"variant":594},"The AI model \u003Cstrong>decides what tool to call\u003C\u002Fstrong>. The tool \u003Cstrong>does the real work\u003C\u002Fstrong>.","The important distinction",{},{"id":597,"data":1527,"type":572,"tunes":1529},{"text":1528,"level":47},"The G-Assist action pipeline",{},{"id":602,"data":1531,"type":625,"tunes":1552},{"steps":1532,"title":1551,"orientation":624},[1533,1536,1539,1542,1545,1548],{"label":1534,"description":1535},"1. You give a natural-language request","For example: “Optimize this game for performance.”",{"label":1537,"description":1538},"2. The local SLM interprets the request","It determines the user's intent and identifies which supported function or plug-in is relevant.",{"label":1540,"description":1541},"3. The system chooses a tool","That could be a built-in graphics-setting function, driver check, monitoring function or community plug-in.",{"label":1543,"description":1544},"4. Arguments are extracted","The model converts the request into structured values such as game name, mode, fan profile or DLSS setting.",{"label":1546,"description":1547},"5. The tool executes","The tool talks to the NVIDIA App, operating system, peripheral software or another service.",{"label":1549,"description":1550},"6. The result is returned","G-Assist reports what happened, or returns data that the model can explain.","What happens after you give G-Assist a command",{},{"id":628,"data":1554,"type":572,"tunes":1556},{"text":1555,"level":47},"This is tool calling, not magic PC control",{},{"id":633,"data":1558,"type":544,"tunes":1560},{"text":1559},"A language model cannot safely control an arbitrary computer simply because it understands English.",{},{"id":638,"data":1562,"type":544,"tunes":1564},{"text":1563},"It needs a defined interface that says which actions exist, which arguments they accept and what the tool returns.",{},{"id":643,"data":1566,"type":544,"tunes":1568},{"text":1567},"G-Assist's current built-in capabilities include functions such as optimizing graphics settings, changing supported RTX options, checking or downloading drivers, showing performance information, changing some laptop power features, controlling supported monitor functions and using supported peripheral plug-ins.",{},{"id":648,"data":1570,"type":676,"tunes":1590},{"rows":1571,"title":1584,"layout":668,"columns":1585},[1572,1575,1578,1581],{"id":652,"label":1573,"values":1574},"Understand “turn on DLSS”",[13,13],{"id":656,"label":1576,"values":1577},"Choose the correct function",[13,13],{"id":660,"label":1579,"values":1580},"Actually change the setting",[13,13],{"id":664,"label":1582,"values":1583},"Explain the result",[13,13],"Language model vs tool",[1586,1588],{"id":671,"label":1587},"Language model",{"id":674,"label":1589},"Tool \u002F plug-in",{},{"id":679,"data":1592,"type":572,"tunes":1594},{"text":1593,"level":47},"What is the knowledge layer?",{},{"id":684,"data":1596,"type":544,"tunes":1598},{"text":1597},"G-Assist also has a knowledge layer for answering questions and making recommendations.",{},{"id":689,"data":1600,"type":544,"tunes":1602},{"text":1601},"NVIDIA says version 0.2.1 introduced an improved knowledge system that helps G-Assist make more accurate settings recommendations.",{},{"id":694,"data":1604,"type":544,"tunes":1606},{"text":1605},"That knowledge layer is different from the live state of your PC.",{},{"id":699,"data":1608,"type":676,"tunes":1624},{"rows":1609,"title":1618,"layout":668,"columns":1619},[1610,1612,1615],{"id":703,"label":704,"values":1611},[13,13],{"id":707,"label":1613,"values":1614},"Game settings",[13,13],{"id":711,"label":1616,"values":1617},"Performance",[13,13],"Knowledge vs live PC state",[1620,1622],{"id":717,"label":1621},"Knowledge",{"id":720,"label":1623},"Live state",{},{"id":724,"data":1626,"type":552,"tunes":1629},{"body":1627,"title":1628,"variant":728},"\u003Cstrong>Knowledge\u003C\u002Fstrong> tells the assistant what a feature means or what usually matters.\u003Cbr>\u003Cstrong>State\u003C\u002Fstrong> tells it what is true on your machine right now.","Do not mix knowledge with state",{},{"id":731,"data":1631,"type":737,"tunes":1635},{"url":733,"title":1632,"excerpt":1633,"ctaLabel":1634},"What Is RAG? The Simplest Explanation of How It Works","A plain-English explanation of knowledge retrieval, state, memory, context and the language model.","Read the simple RAG guide",{},{"id":740,"data":1637,"type":572,"tunes":1639},{"text":1638,"level":47},"Does G-Assist use RAG?",{},{"id":745,"data":1641,"type":544,"tunes":1643},{"text":1642},"The safest answer is: G-Assist clearly has a knowledge system, but NVIDIA's public product page does not document every internal retrieval mechanism in enough detail to say that every knowledge answer is specifically produced by RAG.",{},{"id":750,"data":1645,"type":544,"tunes":1647},{"text":1646},"The architectural distinction still matters. A retrieval layer can provide relevant knowledge, while system tools provide current PC state and perform actions.",{},{"id":755,"data":1649,"type":544,"tunes":1651},{"text":1650},"That is the same separation used in many modern agents: knowledge is one source of context, live observations are another, and tool execution is a third.",{},{"id":760,"data":1653,"type":572,"tunes":1655},{"text":1654,"level":47},"Why G-Assist can work offline",{},{"id":765,"data":1657,"type":544,"tunes":1659},{"text":1658},"NVIDIA runs the language model locally on the GeForce RTX GPU.",{},{"id":770,"data":1661,"type":544,"tunes":1663},{"text":1662},"That means the core assistant does not require a cloud-hosted language model for every prompt.",{},{"id":775,"data":1665,"type":544,"tunes":1667},{"text":1666},"NVIDIA explicitly says G-Assist can run offline for its local capabilities.",{},{"id":780,"data":1669,"type":544,"tunes":1671},{"text":1670},"A plug-in can still use the internet if that plug-in calls an online service. Local model execution and online plug-in access are separate questions.",{},{"id":785,"data":1673,"type":572,"tunes":1675},{"text":1674,"level":47},"The local-AI cost: G-Assist uses your GPU and VRAM",{},{"id":790,"data":1677,"type":544,"tunes":1679},{"text":1678},"Running locally gives privacy and independence from a cloud model, but the work has to execute somewhere.",{},{"id":795,"data":1681,"type":544,"tunes":1683},{"text":1682},"For G-Assist, that somewhere is the same GeForce RTX GPU that may already be rendering your game.",{},{"id":800,"data":1685,"type":544,"tunes":1687},{"text":1686},"NVIDIA warns that the GPU briefly allocates compute resources to AI inference when G-Assist responds. If a demanding game is running at the same time, the game can temporarily lose some rendering performance while the model is active.",{},{"id":805,"data":1689,"type":544,"tunes":1691},{"text":1690},"The current requirements also specify free-VRAM targets beyond the memory already used by the game: approximately 6 GB of free VRAM for Reasoning Mode and 4.5 GB for Flash Mode.",{},{"id":810,"data":1693,"type":552,"tunes":1696},{"body":1694,"title":1695,"variant":728},"The game, Windows, the driver and other applications already consume VRAM. G-Assist's own requirement is about \u003Cstrong>free VRAM in addition to what the running workload already uses\u003C\u002Fstrong>.","8 GB VRAM does not mean 8 GB is available to G-Assist",{},{"id":816,"data":1698,"type":737,"tunes":1703},{"url":1699,"title":1700,"excerpt":1701,"ctaLabel":1702},"https:\u002F\u002Ffigure.rocks\u002Fblog\u002Fvram-usage-is-not-vram-requirement-why-a-full-memory-meter-does-not-tell-the-whole-story","VRAM Usage Is Not VRAM Requirement: Why a Full Memory Meter Does Not Tell the Whole Story","Why installed VRAM, current usage, residency budgets and real memory pressure are different things.","Read the VRAM guide",{},{"id":824,"data":1705,"type":572,"tunes":1707},{"text":1706,"level":47},"Reasoning Mode vs Flash Mode",{},{"id":829,"data":1709,"type":544,"tunes":1711},{"text":1710},"Current G-Assist versions separate a more capable Reasoning Mode from a faster Flash Mode.",{},{"id":834,"data":1713,"type":544,"tunes":1715},{"text":1714},"Reasoning Mode is designed for higher-quality decisions and can coordinate multiple actions from one prompt. Flash Mode is optimized for faster responses and lower resource demand.",{},{"id":839,"data":1717,"type":676,"tunes":1733},{"rows":1718,"title":1706,"layout":668,"columns":1728},[1719,1722,1725],{"id":843,"label":1720,"values":1721},"Primary goal",[13,13],{"id":847,"label":1723,"values":1724},"Recommended free VRAM",[13,13],{"id":851,"label":1726,"values":1727},"Best fit",[13,13],[1729,1731],{"id":856,"label":1730},"Reasoning Mode",{"id":859,"label":1732},"Flash Mode",{},{"id":863,"data":1735,"type":572,"tunes":1737},{"text":1736,"level":47},"What plug-ins actually add",{},{"id":868,"data":1739,"type":544,"tunes":1741},{"text":1740},"A plug-in does not replace the language model. It gives the model a new action it is allowed to call.",{},{"id":873,"data":1743,"type":544,"tunes":1745},{"text":1744},"The plug-in defines functions, descriptions and parameters. G-Assist reads those descriptions, matches a user request to the appropriate function and sends structured arguments to it.",{},{"id":878,"data":1747,"type":544,"tunes":1749},{"text":1748},"That lets the assistant grow beyond NVIDIA's built-in functions.",{},{"id":883,"data":1751,"type":625,"tunes":1769},{"steps":1752,"title":1768,"orientation":624},[1753,1756,1759,1762,1765],{"label":1754,"description":1755},"1. Plug-in declares a function","For example: set_keyboard_color(color).",{"label":1757,"description":1758},"2. Manifest describes the function","The manifest tells G-Assist what the function does and what parameters it needs.",{"label":1760,"description":1761},"3. User asks naturally","For example: “Make my keyboard green.”",{"label":1763,"description":1764},"4. SLM selects the function","The model maps the request to the plug-in function and extracts green as the parameter.",{"label":1766,"description":1767},"5. Plug-in executes","The plug-in talks to the peripheral software or external service.","How a G-Assist plug-in works",{},{"id":904,"data":1771,"type":572,"tunes":1773},{"text":1772,"level":47},"G-Assist Protocol V2 is JSON-RPC 2.0",{},{"id":909,"data":1775,"type":544,"tunes":1777},{"text":1776},"NVIDIA's current public plug-in repository uses Protocol V2.",{},{"id":914,"data":1779,"type":544,"tunes":1781},{"text":1780},"Protocol V2 uses JSON-RPC 2.0 with length-prefixed messages between the G-Assist engine and plug-ins.",{},{"id":919,"data":1783,"type":544,"tunes":1785},{"text":1784},"The engine can initialize a plug-in, check its health, execute a function, send user input and shut it down. Plug-ins can return results, stream progress or report errors.",{},{"id":924,"data":1787,"type":676,"tunes":1805},{"rows":1788,"title":1799,"layout":668,"columns":1800},[1789,1791,1793,1795,1797],{"id":928,"label":928,"values":1790},[13,13],{"id":931,"label":931,"values":1792},[13,13],{"id":934,"label":934,"values":1794},[13,13],{"id":937,"label":937,"values":1796},[13,13],{"id":940,"label":940,"values":1798},[13,13],"The important Protocol V2 messages",[1801,1803],{"id":945,"label":1802},"Direction",{"id":948,"label":1804},"Purpose",{},{"id":952,"data":1807,"type":572,"tunes":1809},{"text":1808,"level":47},"Where MCP enters the picture",{},{"id":957,"data":1811,"type":544,"tunes":1813},{"text":1812},"G-Assist's own plug-in protocol is not MCP. Its current public plug-in system uses JSON-RPC 2.0.",{},{"id":962,"data":1815,"type":544,"tunes":1817},{"text":1816},"However, a G-Assist plug-in can connect to an MCP server.",{},{"id":967,"data":1819,"type":544,"tunes":1821},{"text":1820},"NVIDIA's current version 0.2.2 includes an Elgato integration that can invoke actions exposed through the Elgato Stream Deck MCP server.",{},{"id":972,"data":1823,"type":552,"tunes":1826},{"body":1824,"title":1825,"variant":594},"\u003Cstrong>G-Assist ↔ its plug-in:\u003C\u002Fstrong> NVIDIA Protocol V2 \u002F JSON-RPC 2.0.\u003Cbr>\u003Cstrong>Plug-in ↔ another tool ecosystem:\u003C\u002Fstrong> can use MCP when that integration supports it.","Important protocol distinction",{},{"id":978,"data":1828,"type":572,"tunes":1830},{"text":1829,"level":47},"Why this matters beyond RGB lights",{},{"id":983,"data":1832,"type":544,"tunes":1834},{"text":1833},"The plug-in architecture turns G-Assist from a fixed assistant into a local tool router.",{},{"id":988,"data":1836,"type":544,"tunes":1838},{"text":1837},"The same pattern can connect an SLM to monitoring tools, peripherals, APIs, automation systems, local applications or external services.",{},{"id":993,"data":1840,"type":544,"tunes":1842},{"text":1841},"The important architectural unit is therefore not the chat window. It is the boundary between natural-language intent and structured tool execution.",{},{"id":998,"data":1844,"type":572,"tunes":1846},{"text":1845,"level":47},"The Local Agent Stack",{},{"id":1003,"data":1848,"type":625,"tunes":1872},{"steps":1849,"title":1871,"orientation":624},[1850,1853,1856,1859,1862,1865,1868],{"label":1851,"description":1852},"1. User intent","Natural language or voice command.",{"label":1854,"description":1855},"2. Local SLM","Understands the request and chooses a capability.",{"label":1857,"description":1858},"3. Knowledge \u002F context","Provides product knowledge, recommendations or information needed for the decision.",{"label":1860,"description":1861},"4. Live system state","Provides current hardware, driver, performance or configuration information when supported.",{"label":1863,"description":1864},"5. Tool selection","Built-in function or plug-in is chosen.",{"label":1866,"description":1867},"6. Structured execution","The function receives arguments and performs the real action.",{"label":1869,"description":1870},"7. Result verification","The tool returns status or data and the model explains what happened.","A useful way to think about G-Assist",{},{"id":1030,"data":1874,"type":572,"tunes":1876},{"text":1875,"level":47},"Why tool boundaries are a safety feature",{},{"id":1035,"data":1878,"type":544,"tunes":1880},{"text":1879},"An AI assistant that could execute arbitrary operating-system commands would be far more powerful, but also much harder to constrain.",{},{"id":1040,"data":1882,"type":544,"tunes":1884},{"text":1883},"G-Assist instead exposes defined functions with known parameters.",{},{"id":1045,"data":1886,"type":544,"tunes":1888},{"text":1887},"That means the model can only perform actions that the built-in function set or installed plug-ins make available.",{},{"id":1050,"data":1890,"type":544,"tunes":1892},{"text":1891},"This does not remove all risk, especially with third-party plug-ins, but it creates a clearer permission and capability boundary than unrestricted shell access.",{},{"id":1055,"data":1894,"type":572,"tunes":1896},{"text":1895,"level":47},"The Tool-Authority Boundary",{},{"id":1060,"data":1898,"type":676,"tunes":1917},{"rows":1899,"title":1911,"layout":668,"columns":1912},[1900,1903,1906,1908],{"id":703,"label":1901,"values":1902},"GPU tuning",[13,13],{"id":1067,"label":1904,"values":1905},"Files",[13,13],{"id":1071,"label":1072,"values":1907},[13,13],{"id":1075,"label":1909,"values":1910},"Peripheral control",[13,13],"What the assistant can understand vs what it is allowed to do",[1913,1915],{"id":652,"label":1914},"Model may understand",{"id":1083,"label":1916},"Tool authority",{},{"id":1087,"data":1919,"type":572,"tunes":1921},{"text":1920,"level":47},"Why G-Assist can temporarily reduce game performance",{},{"id":1092,"data":1923,"type":544,"tunes":1925},{"text":1924},"The local-model architecture has a straightforward consequence: the AI and the game can compete for the same GPU.",{},{"id":1097,"data":1927,"type":544,"tunes":1929},{"text":1928},"NVIDIA explicitly warns that render rate or inference speed can briefly dip while G-Assist is processing a request during a GPU-heavy workload.",{},{"id":1102,"data":1931,"type":544,"tunes":1933},{"text":1932},"Once inference finishes, those GPU resources return to the game.",{},{"id":1107,"data":1935,"type":544,"tunes":1937},{"text":1936},"This is different from a cloud assistant, where most model inference happens on a remote server and does not consume the gaming GPU.",{},{"id":1112,"data":1939,"type":572,"tunes":1941},{"text":1940,"level":47},"The Local Assistant Resource Test",{},{"id":1117,"data":1943,"type":625,"tunes":1964},{"steps":1944,"title":1963,"orientation":624},[1945,1948,1951,1954,1957,1960],{"label":1946,"description":1947},"1. Check installed VRAM","The current G-Assist baseline is an RTX GPU with at least 6 GB VRAM.",{"label":1949,"description":1950},"2. Check free VRAM during the actual game","Installed capacity is not the same as free capacity.",{"label":1952,"description":1953},"3. Choose Reasoning or Flash Mode appropriately","Use the lighter mode when resource pressure matters more than deep reasoning.",{"label":1955,"description":1956},"4. Measure inference-time frame-rate dips","Watch the game while asking G-Assist to perform tasks.",{"label":1958,"description":1959},"5. Inspect tool authority","Know exactly which built-in functions and plug-ins can change your system.",{"label":1961,"description":1962},"6. Treat third-party plug-ins as software","Review their source, permissions, network access and stored credentials.","How to judge whether a local gaming assistant fits your PC",{},{"id":1141,"data":1966,"type":572,"tunes":1968},{"text":1967,"level":47},"Why plug-ins deserve the same scrutiny as any other software",{},{"id":1146,"data":1970,"type":544,"tunes":1972},{"text":1971},"A plug-in can connect the assistant to APIs, peripheral applications and online services.",{},{"id":1151,"data":1974,"type":544,"tunes":1976},{"text":1975},"That means a plug-in may handle configuration values, credentials or external requests depending on what it was built to do.",{},{"id":1156,"data":1978,"type":544,"tunes":1980},{"text":1979},"NVIDIA's repository explicitly provides a config.json location for plug-in settings and warns developers not to commit credentials.",{},{"id":1161,"data":1982,"type":544,"tunes":1984},{"text":1983},"The correct security question is therefore not only “Is G-Assist local?” but also “What does each installed plug-in connect to?”",{},{"id":1166,"data":1986,"type":572,"tunes":1988},{"text":1987,"level":47},"G-Assist is closer to an agent than a chatbot",{},{"id":1171,"data":1990,"type":544,"tunes":1992},{"text":1991},"A chatbot mainly produces language.",{},{"id":1176,"data":1994,"type":544,"tunes":1996},{"text":1995},"An agent interprets a goal, observes relevant information, chooses an action, calls a tool and evaluates the result.",{},{"id":1181,"data":1998,"type":544,"tunes":2000},{"text":1999},"G-Assist now fits that second description much more closely because it can coordinate multiple actions, inspect supported PC state and invoke real tools.",{},{"id":1186,"data":2002,"type":737,"tunes":2007},{"url":2003,"title":2004,"excerpt":2005,"ctaLabel":2006},"https:\u002F\u002Ffigure.rocks\u002Fblog\u002Fpubg-ally-shows-why-ai-teammates-need-two-brains-fast-reflexes-and-slow-reasoning","PUBG Ally Shows Why AI Teammates Need Two Brains: Fast Reflexes and Slow Reasoning","A game-agent architecture example showing the separation between reasoning, live state, tools and deterministic execution.","Read the PUBG Ally architecture guide",{},{"id":1194,"data":2009,"type":572,"tunes":2011},{"text":2010,"level":47},"What G-Assist still is not",{},{"id":1199,"data":2013,"type":544,"tunes":2015},{"text":2014},"NVIDIA explicitly describes G-Assist as a specialized local assistant, not a general-purpose conversational AI.",{},{"id":1204,"data":2017,"type":544,"tunes":2019},{"text":2018},"Its value comes from understanding a focused set of PC and gaming tasks and having tools connected to those tasks.",{},{"id":1209,"data":2021,"type":544,"tunes":2023},{"text":2022},"That focus is important because a smaller local model can be useful when the surrounding system gives it strong tools and clear boundaries.",{},{"id":1214,"data":2025,"type":572,"tunes":2027},{"text":2026,"level":47},"What changed in the current versions?",{},{"id":1219,"data":2029,"type":544,"tunes":2031},{"text":2030},"The current public release history shows G-Assist moving steadily toward a more capable local agent.",{},{"id":1224,"data":2033,"type":668,"tunes":2047},{"content":2034,"stretched":1245,"withHeadings":15},[2035,2037,2039,2041,2043,2045],[1228,2036],"Important change",[1231,2038],"Lighter model, all RTX GPUs with 6 GB+ VRAM, community plug-ins",[1234,2040],"Laptop optimization, BatteryBoost and WhisperMode controls",[1237,2042],"Reasoning Mode, Flash Mode, multi-action prompts, new device controls",[1240,2044],"Improved knowledge system, better recommendations, RTX feature controls",[1243,2046],"Elgato Stream Deck integration through an MCP server",{},{"id":1248,"data":2049,"type":572,"tunes":2051},{"text":2050,"level":47},"What would change this answer?",{},{"id":1253,"data":2053,"type":544,"tunes":2055},{"text":2054},"G-Assist is still experimental and its architecture is evolving.",{},{"id":1258,"data":2057,"type":544,"tunes":2059},{"text":2058},"The model size, VRAM requirements, tool set, plug-in protocol and hardware support can all change in future releases.",{},{"id":1263,"data":2061,"type":544,"tunes":2063},{"text":2062},"A future version could also move some inference to an NPU or introduce broader MCP integration, but that should not be assumed until NVIDIA documents it.",{},{"id":1268,"data":2065,"type":572,"tunes":2067},{"text":2066,"level":47},"Limitations",{},{"id":1273,"data":2069,"type":544,"tunes":2071},{"text":2070},"This article describes NVIDIA's public G-Assist product documentation and public plug-in architecture as of September 2026.",{},{"id":1278,"data":2073,"type":544,"tunes":2075},{"text":2074},"NVIDIA does not publicly document every internal detail of its knowledge and recommendation pipeline, so this article does not claim that every knowledge answer uses RAG or any other specific retrieval implementation.",{},{"id":1283,"data":2077,"type":544,"tunes":2079},{"text":2078},"Third-party plug-ins can have behavior and network access beyond NVIDIA's built-in functions, so each plug-in should be evaluated separately.",{},{"id":1288,"data":2081,"type":572,"tunes":2083},{"text":2082,"level":47},"Conclusion",{},{"id":1293,"data":2085,"type":544,"tunes":2087},{"text":2086},"The easiest way to understand Project G-Assist is to stop thinking of it as a chatbot.",{},{"id":1298,"data":2089,"type":544,"tunes":2091},{"text":2090},"The local SLM interprets your request. Knowledge helps it understand the problem. Live system information tells it what is true on your PC. A built-in function or plug-in defines what it is actually allowed to do. The tool performs the action and returns the result.",{},{"id":1303,"data":2093,"type":544,"tunes":2095},{"text":2094},"That is a local agent architecture.",{},{"id":1308,"data":2097,"type":544,"tunes":2099},{"text":2098},"Its strongest idea is not that an 8-billion-parameter model can talk about your GPU. It is that a relatively small local model can become useful when it is connected to well-defined tools, current state and a controlled action boundary.",{},{"id":1313,"data":2101,"type":572,"tunes":2102},{"text":1315,"level":47},{},{"id":1318,"data":2104,"type":1350,"tunes":2128},{"items":2105,"title":2127},[2106,2109,2112,2115,2118,2121,2124],{"id":1322,"answer":2107,"question":2108},"No. Its core language model runs locally on the GeForce RTX GPU and can work offline for supported local functions.","Is G-Assist a cloud chatbot?",{"id":1326,"answer":2110,"question":2111},"NVIDIA currently describes it as a local Llama-based instruct model with 8 billion parameters.","What model does G-Assist use?",{"id":1330,"answer":2113,"question":2114},"No. The model selects a supported built-in function or plug-in, and that tool performs the actual change.","Does the AI model directly change my GPU settings?",{"id":1334,"answer":2116,"question":2117},"Yes. NVIDIA recommends additional free VRAM for the assistant and warns that inference can briefly reduce game render performance.","Does G-Assist use VRAM while gaming?",{"id":1338,"answer":2119,"question":2120},"Not directly. G-Assist's own current plug-in protocol uses JSON-RPC 2.0, although a plug-in can connect to an MCP server.","Are G-Assist plug-ins MCP plug-ins?",{"id":1342,"answer":2122,"question":2123},"Its local assistant can, but individual plug-ins may still require internet access if they call online services.","Can G-Assist work offline?",{"id":1346,"answer":2125,"question":2126},"NVIDIA describes it as a specialized PC and gaming assistant rather than a broad general-purpose conversational model.","Is G-Assist a general AI assistant?","NVIDIA Project G-Assist in plain English",{},{"id":1353,"data":2130,"type":572,"tunes":2132},{"text":2131,"level":47},"Glossary",{},{"id":1358,"data":2134,"type":1394,"tunes":2153},{"title":2135,"entries":2136},"Key G-Assist terms",[2137,2139,2141,2143,2145,2147,2149,2151],{"term":1363,"anchor":1364,"definition":2138},"Small Language Model, a compact language model designed to run locally with lower hardware requirements than large cloud models.",{"term":1367,"anchor":1368,"definition":2140},"The process where a language model chooses a defined function and supplies structured arguments so another component can perform an action.",{"term":1371,"anchor":1372,"definition":2142},"An extension that exposes additional functions or integrations to G-Assist.",{"term":1375,"anchor":1376,"definition":2144},"The structured message protocol used by the current G-Assist Protocol V2 plug-in system.",{"term":1379,"anchor":1380,"definition":2146},"Model Context Protocol, a separate tool and context interoperability protocol that some external integrations can expose.",{"term":1383,"anchor":1384,"definition":2148},"A Figure Rocks model separating what an AI model can understand from what its connected tools actually allow it to do.",{"term":1387,"anchor":1388,"definition":2150},"A Figure Rocks model combining user intent, local SLM, knowledge, live state, tool selection, execution and result verification.",{"term":1391,"anchor":1392,"definition":2152},"A Figure Rocks workflow for evaluating VRAM, inference cost, tool permissions and plug-in risk before using a local gaming assistant.",{},{"id":1397,"data":2155,"type":572,"tunes":2157},{"text":2156,"level":47},"Primary sources",{},{"id":1402,"data":2159,"type":1409,"tunes":2163},{"link":1404,"meta":2160},{"image":2161,"title":1407,"description":2162},{"url":13},"Official current product page covering the local model, supported functions, Reasoning and Flash modes, VRAM requirements, RTX controls, plug-ins and version 0.2.2 MCP-based Elgato integration.",{},{"id":1412,"data":2165,"type":1409,"tunes":2169},{"link":1414,"meta":2166},{"image":2167,"title":1417,"description":2168},{"url":13},"Official public plug-in repository documenting G-Assist's module architecture, plug-in discovery and Protocol V2.",{},{"id":1421,"data":2171,"type":1409,"tunes":2175},{"link":1423,"meta":2172},{"image":2173,"title":1426,"description":2174},{"url":13},"Official protocol documentation covering JSON-RPC 2.0, initialization, health checks, execution, streaming, completion and plug-in SDK behavior.",{},{"id":1430,"data":2177,"type":1409,"tunes":2181},{"link":1432,"meta":2178},{"image":2179,"title":1435,"description":2180},{"url":13},"Official background on the lower-memory G-Assist model, support for 6 GB RTX GPUs and the community plug-in hub.",{},"2.31.6","NVIDIA Project G-Assist looks like a chatbot, but its real architecture is closer to a local AI agent. A small language model interprets your request, system state provides current PC information, tools perform real actions, and plug-ins extend what the assistant is allowed to control.",{"lang":7,"title":534,"content":536,"contentJson":2185,"excerpt":1439},{"time":538,"blocks":2186,"version":1438},[2187,2190,2193,2196,2199,2202,2205,2208,2211,2214,2217,2227,2230,2233,2236,2239,2254,2257,2260,2263,2266,2279,2282,2285,2288,2291,2294,2297,2300,2303,2306,2309,2312,2315,2318,2321,2324,2327,2330,2333,2336,2339,2342,2355,2358,2361,2364,2367,2376,2379,2382,2385,2388,2405,2408,2411,2414,2417,2420,2423,2426,2429,2432,2435,2446,2449,2452,2455,2458,2461,2464,2479,2482,2485,2488,2491,2494,2497,2507,2510,2513,2516,2519,2522,2525,2528,2531,2534,2537,2540,2543,2546,2549,2552,2555,2565,2568,2571,2574,2577,2580,2583,2586,2589,2592,2595,2598,2601,2604,2607,2618,2621,2633,2636,2641,2646,2651],{"id":541,"data":2188,"type":544,"tunes":2189},{"text":543},{},{"id":547,"data":2191,"type":552,"tunes":2192},{"body":549,"title":550,"variant":551},{},{"id":555,"data":2194,"type":552,"tunes":2195},{"body":557,"title":558,"variant":559},{},{"id":562,"data":2197,"type":566,"tunes":2198},{"title":564,"maxLevel":565,"minLevel":47},{},{"id":569,"data":2200,"type":572,"tunes":2201},{"text":571,"level":47},{},{"id":575,"data":2203,"type":544,"tunes":2204},{"text":577},{},{"id":580,"data":2206,"type":544,"tunes":2207},{"text":582},{},{"id":585,"data":2209,"type":544,"tunes":2210},{"text":587},{},{"id":590,"data":2212,"type":552,"tunes":2213},{"body":592,"title":593,"variant":594},{},{"id":597,"data":2215,"type":572,"tunes":2216},{"text":599,"level":47},{},{"id":602,"data":2218,"type":625,"tunes":2226},{"steps":2219,"title":623,"orientation":624},[2220,2221,2222,2223,2224,2225],{"label":606,"description":607},{"label":609,"description":610},{"label":612,"description":613},{"label":615,"description":616},{"label":618,"description":619},{"label":621,"description":622},{},{"id":628,"data":2228,"type":572,"tunes":2229},{"text":630,"level":47},{},{"id":633,"data":2231,"type":544,"tunes":2232},{"text":635},{},{"id":638,"data":2234,"type":544,"tunes":2235},{"text":640},{},{"id":643,"data":2237,"type":544,"tunes":2238},{"text":645},{},{"id":648,"data":2240,"type":676,"tunes":2253},{"rows":2241,"title":667,"layout":668,"columns":2250},[2242,2244,2246,2248],{"id":652,"label":653,"values":2243},[13,13],{"id":656,"label":657,"values":2245},[13,13],{"id":660,"label":661,"values":2247},[13,13],{"id":664,"label":665,"values":2249},[13,13],[2251,2252],{"id":671,"label":672},{"id":674,"label":675},{},{"id":679,"data":2255,"type":572,"tunes":2256},{"text":681,"level":47},{},{"id":684,"data":2258,"type":544,"tunes":2259},{"text":686},{},{"id":689,"data":2261,"type":544,"tunes":2262},{"text":691},{},{"id":694,"data":2264,"type":544,"tunes":2265},{"text":696},{},{"id":699,"data":2267,"type":676,"tunes":2278},{"rows":2268,"title":714,"layout":668,"columns":2275},[2269,2271,2273],{"id":703,"label":704,"values":2270},[13,13],{"id":707,"label":708,"values":2272},[13,13],{"id":711,"label":712,"values":2274},[13,13],[2276,2277],{"id":717,"label":718},{"id":720,"label":721},{},{"id":724,"data":2280,"type":552,"tunes":2281},{"body":726,"title":727,"variant":728},{},{"id":731,"data":2283,"type":737,"tunes":2284},{"url":733,"title":734,"excerpt":735,"ctaLabel":736},{},{"id":740,"data":2286,"type":572,"tunes":2287},{"text":742,"level":47},{},{"id":745,"data":2289,"type":544,"tunes":2290},{"text":747},{},{"id":750,"data":2292,"type":544,"tunes":2293},{"text":752},{},{"id":755,"data":2295,"type":544,"tunes":2296},{"text":757},{},{"id":760,"data":2298,"type":572,"tunes":2299},{"text":762,"level":47},{},{"id":765,"data":2301,"type":544,"tunes":2302},{"text":767},{},{"id":770,"data":2304,"type":544,"tunes":2305},{"text":772},{},{"id":775,"data":2307,"type":544,"tunes":2308},{"text":777},{},{"id":780,"data":2310,"type":544,"tunes":2311},{"text":782},{},{"id":785,"data":2313,"type":572,"tunes":2314},{"text":787,"level":47},{},{"id":790,"data":2316,"type":544,"tunes":2317},{"text":792},{},{"id":795,"data":2319,"type":544,"tunes":2320},{"text":797},{},{"id":800,"data":2322,"type":544,"tunes":2323},{"text":802},{},{"id":805,"data":2325,"type":544,"tunes":2326},{"text":807},{},{"id":810,"data":2328,"type":552,"tunes":2329},{"body":812,"title":813,"variant":728},{},{"id":816,"data":2331,"type":737,"tunes":2332},{"url":818,"title":819,"excerpt":820,"ctaLabel":821},{},{"id":824,"data":2334,"type":572,"tunes":2335},{"text":826,"level":47},{},{"id":829,"data":2337,"type":544,"tunes":2338},{"text":831},{},{"id":834,"data":2340,"type":544,"tunes":2341},{"text":836},{},{"id":839,"data":2343,"type":676,"tunes":2354},{"rows":2344,"title":826,"layout":668,"columns":2351},[2345,2347,2349],{"id":843,"label":844,"values":2346},[13,13],{"id":847,"label":848,"values":2348},[13,13],{"id":851,"label":852,"values":2350},[13,13],[2352,2353],{"id":856,"label":857},{"id":859,"label":860},{},{"id":863,"data":2356,"type":572,"tunes":2357},{"text":865,"level":47},{},{"id":868,"data":2359,"type":544,"tunes":2360},{"text":870},{},{"id":873,"data":2362,"type":544,"tunes":2363},{"text":875},{},{"id":878,"data":2365,"type":544,"tunes":2366},{"text":880},{},{"id":883,"data":2368,"type":625,"tunes":2375},{"steps":2369,"title":901,"orientation":624},[2370,2371,2372,2373,2374],{"label":887,"description":888},{"label":890,"description":891},{"label":893,"description":894},{"label":896,"description":897},{"label":899,"description":900},{},{"id":904,"data":2377,"type":572,"tunes":2378},{"text":906,"level":47},{},{"id":909,"data":2380,"type":544,"tunes":2381},{"text":911},{},{"id":914,"data":2383,"type":544,"tunes":2384},{"text":916},{},{"id":919,"data":2386,"type":544,"tunes":2387},{"text":921},{},{"id":924,"data":2389,"type":676,"tunes":2404},{"rows":2390,"title":942,"layout":668,"columns":2401},[2391,2393,2395,2397,2399],{"id":928,"label":928,"values":2392},[13,13],{"id":931,"label":931,"values":2394},[13,13],{"id":934,"label":934,"values":2396},[13,13],{"id":937,"label":937,"values":2398},[13,13],{"id":940,"label":940,"values":2400},[13,13],[2402,2403],{"id":945,"label":946},{"id":948,"label":949},{},{"id":952,"data":2406,"type":572,"tunes":2407},{"text":954,"level":47},{},{"id":957,"data":2409,"type":544,"tunes":2410},{"text":959},{},{"id":962,"data":2412,"type":544,"tunes":2413},{"text":964},{},{"id":967,"data":2415,"type":544,"tunes":2416},{"text":969},{},{"id":972,"data":2418,"type":552,"tunes":2419},{"body":974,"title":975,"variant":594},{},{"id":978,"data":2421,"type":572,"tunes":2422},{"text":980,"level":47},{},{"id":983,"data":2424,"type":544,"tunes":2425},{"text":985},{},{"id":988,"data":2427,"type":544,"tunes":2428},{"text":990},{},{"id":993,"data":2430,"type":544,"tunes":2431},{"text":995},{},{"id":998,"data":2433,"type":572,"tunes":2434},{"text":1000,"level":47},{},{"id":1003,"data":2436,"type":625,"tunes":2445},{"steps":2437,"title":1027,"orientation":624},[2438,2439,2440,2441,2442,2443,2444],{"label":1007,"description":1008},{"label":1010,"description":1011},{"label":1013,"description":1014},{"label":1016,"description":1017},{"label":1019,"description":1020},{"label":1022,"description":1023},{"label":1025,"description":1026},{},{"id":1030,"data":2447,"type":572,"tunes":2448},{"text":1032,"level":47},{},{"id":1035,"data":2450,"type":544,"tunes":2451},{"text":1037},{},{"id":1040,"data":2453,"type":544,"tunes":2454},{"text":1042},{},{"id":1045,"data":2456,"type":544,"tunes":2457},{"text":1047},{},{"id":1050,"data":2459,"type":544,"tunes":2460},{"text":1052},{},{"id":1055,"data":2462,"type":572,"tunes":2463},{"text":1057,"level":47},{},{"id":1060,"data":2465,"type":676,"tunes":2478},{"rows":2466,"title":1078,"layout":668,"columns":2475},[2467,2469,2471,2473],{"id":703,"label":1064,"values":2468},[13,13],{"id":1067,"label":1068,"values":2470},[13,13],{"id":1071,"label":1072,"values":2472},[13,13],{"id":1075,"label":1076,"values":2474},[13,13],[2476,2477],{"id":652,"label":1081},{"id":1083,"label":1084},{},{"id":1087,"data":2480,"type":572,"tunes":2481},{"text":1089,"level":47},{},{"id":1092,"data":2483,"type":544,"tunes":2484},{"text":1094},{},{"id":1097,"data":2486,"type":544,"tunes":2487},{"text":1099},{},{"id":1102,"data":2489,"type":544,"tunes":2490},{"text":1104},{},{"id":1107,"data":2492,"type":544,"tunes":2493},{"text":1109},{},{"id":1112,"data":2495,"type":572,"tunes":2496},{"text":1114,"level":47},{},{"id":1117,"data":2498,"type":625,"tunes":2506},{"steps":2499,"title":1138,"orientation":624},[2500,2501,2502,2503,2504,2505],{"label":1121,"description":1122},{"label":1124,"description":1125},{"label":1127,"description":1128},{"label":1130,"description":1131},{"label":1133,"description":1134},{"label":1136,"description":1137},{},{"id":1141,"data":2508,"type":572,"tunes":2509},{"text":1143,"level":47},{},{"id":1146,"data":2511,"type":544,"tunes":2512},{"text":1148},{},{"id":1151,"data":2514,"type":544,"tunes":2515},{"text":1153},{},{"id":1156,"data":2517,"type":544,"tunes":2518},{"text":1158},{},{"id":1161,"data":2520,"type":544,"tunes":2521},{"text":1163},{},{"id":1166,"data":2523,"type":572,"tunes":2524},{"text":1168,"level":47},{},{"id":1171,"data":2526,"type":544,"tunes":2527},{"text":1173},{},{"id":1176,"data":2529,"type":544,"tunes":2530},{"text":1178},{},{"id":1181,"data":2532,"type":544,"tunes":2533},{"text":1183},{},{"id":1186,"data":2535,"type":737,"tunes":2536},{"url":1188,"title":1189,"excerpt":1190,"ctaLabel":1191},{},{"id":1194,"data":2538,"type":572,"tunes":2539},{"text":1196,"level":47},{},{"id":1199,"data":2541,"type":544,"tunes":2542},{"text":1201},{},{"id":1204,"data":2544,"type":544,"tunes":2545},{"text":1206},{},{"id":1209,"data":2547,"type":544,"tunes":2548},{"text":1211},{},{"id":1214,"data":2550,"type":572,"tunes":2551},{"text":1216,"level":47},{},{"id":1219,"data":2553,"type":544,"tunes":2554},{"text":1221},{},{"id":1224,"data":2556,"type":668,"tunes":2564},{"content":2557,"stretched":1245,"withHeadings":15},[2558,2559,2560,2561,2562,2563],[1228,1229],[1231,1232],[1234,1235],[1237,1238],[1240,1241],[1243,1244],{},{"id":1248,"data":2566,"type":572,"tunes":2567},{"text":1250,"level":47},{},{"id":1253,"data":2569,"type":544,"tunes":2570},{"text":1255},{},{"id":1258,"data":2572,"type":544,"tunes":2573},{"text":1260},{},{"id":1263,"data":2575,"type":544,"tunes":2576},{"text":1265},{},{"id":1268,"data":2578,"type":572,"tunes":2579},{"text":1270,"level":47},{},{"id":1273,"data":2581,"type":544,"tunes":2582},{"text":1275},{},{"id":1278,"data":2584,"type":544,"tunes":2585},{"text":1280},{},{"id":1283,"data":2587,"type":544,"tunes":2588},{"text":1285},{},{"id":1288,"data":2590,"type":572,"tunes":2591},{"text":1290,"level":47},{},{"id":1293,"data":2593,"type":544,"tunes":2594},{"text":1295},{},{"id":1298,"data":2596,"type":544,"tunes":2597},{"text":1300},{},{"id":1303,"data":2599,"type":544,"tunes":2600},{"text":1305},{},{"id":1308,"data":2602,"type":544,"tunes":2603},{"text":1310},{},{"id":1313,"data":2605,"type":572,"tunes":2606},{"text":1315,"level":47},{},{"id":1318,"data":2608,"type":1350,"tunes":2617},{"items":2609,"title":1349},[2610,2611,2612,2613,2614,2615,2616],{"id":1322,"answer":1323,"question":1324},{"id":1326,"answer":1327,"question":1328},{"id":1330,"answer":1331,"question":1332},{"id":1334,"answer":1335,"question":1336},{"id":1338,"answer":1339,"question":1340},{"id":1342,"answer":1343,"question":1344},{"id":1346,"answer":1347,"question":1348},{},{"id":1353,"data":2619,"type":572,"tunes":2620},{"text":1355,"level":47},{},{"id":1358,"data":2622,"type":1394,"tunes":2632},{"title":1360,"entries":2623},[2624,2625,2626,2627,2628,2629,2630,2631],{"term":1363,"anchor":1364,"definition":1365},{"term":1367,"anchor":1368,"definition":1369},{"term":1371,"anchor":1372,"definition":1373},{"term":1375,"anchor":1376,"definition":1377},{"term":1379,"anchor":1380,"definition":1381},{"term":1383,"anchor":1384,"definition":1385},{"term":1387,"anchor":1388,"definition":1389},{"term":1391,"anchor":1392,"definition":1393},{},{"id":1397,"data":2634,"type":572,"tunes":2635},{"text":1399,"level":47},{},{"id":1402,"data":2637,"type":1409,"tunes":2640},{"link":1404,"meta":2638},{"image":2639,"title":1407,"description":1408},{"url":13},{},{"id":1412,"data":2642,"type":1409,"tunes":2645},{"link":1414,"meta":2643},{"image":2644,"title":1417,"description":1418},{"url":13},{},{"id":1421,"data":2647,"type":1409,"tunes":2650},{"link":1423,"meta":2648},{"image":2649,"title":1426,"description":1427},{"url":13},{},{"id":1430,"data":2652,"type":1409,"tunes":2655},{"link":1432,"meta":2653},{"image":2654,"title":1435,"description":1436},{"url":13},{},"Post erfolgreich abgerufen",{"items":2658,"source":2731,"manualIds":2732,"manualMatchedIds":2733},[2659,2665,2671,2677,2683,2689,2695,2701,2707,2713,2719,2725],{"id":2660,"slug":2661,"title":2662,"excerpt":2663,"featuredImage":14,"publishedAt":2664},"96","game-mode-on-tvs-and-monitors-the-one-setting-that-changes-everything","Spielemodus auf Fernsehern und Monitoren: Die eine Einstellung, die alles verändert","Wenn sich ein Spiel schwerfällig anfühlt, überprüfen Sie zuerst den Spielemodus. Erfahren Sie, was der Spielemodus deaktiviert, warum er die Verzögerung verringert und wie Sie überprüfen, ob er tatsächlich funktioniert.","2026-02-19T11:00:00.000Z",{"id":2666,"slug":2667,"title":2668,"excerpt":2669,"featuredImage":14,"publishedAt":2670},"159","ethernet-vs-wi-fi-for-gaming-the-real-reasons-ethernet-wins","Ethernet vs. Wi-Fi beim Gaming: Die wahren Gründe, warum Ethernet gewinnt","Bei Ethernet geht es nicht um Geschwindigkeit. Es geht um Konsistenz: weniger Spikes, weniger Interferenzen und ein vorhersehbares Timing. Nutze dies, um zu entscheiden, wann Wi-Fi ‘gut genug’ ist.","2026-02-20T13:00:00.000Z",{"id":2672,"slug":2673,"title":2674,"excerpt":2675,"featuredImage":14,"publishedAt":2676},"172","display-modes-glossary-game-mode-pc-mode-filmmaker-mode-what-they-really-change","Glossar der Anzeigemodi: Spielemodus, PC-Modus, Filmmaker Mode (Was sie wirklich verändern)","Anzeigemodi sind nicht kosmetisch. Sie verändern die Verarbeitung, die Chroma-Handhabung und die Latenz. Nutzen Sie dieses Glossar, um den richtigen Modus für Klarheit und Spielgefühl beim Gaming auszuwählen.","2026-02-20T14:00:00.000Z",{"id":2678,"slug":2679,"title":2680,"excerpt":2681,"featuredImage":14,"publishedAt":2682},"174","windows-game-mode-myths-what-it-does-and-what-actually-matters","Windows Game Mode Mythen: Was er bewirkt (und was wirklich zählt)","Der Windows-Spielmodus ist kein magischer Latenz-Schalter. Die größten Vorteile ergeben sich weiterhin aus stabilem Frame-Pacing und der Kontrolle der Hintergrundlast. Nutze ihn, aber bete ihn nicht an.","2026-02-20T15:00:00.000Z",{"id":2684,"slug":2685,"title":2686,"excerpt":2687,"featuredImage":14,"publishedAt":2688},"206","display-processing-traps-the-settings-that-secretly-ruin-clarity-and-feel","Display-Verarbeitungsfallen: Die Einstellungen, die heimlich Klarheit und Spielgefühl ruinieren","Viele Displays werden mit Verarbeitung ausgeliefert, die in Filmen „schön“ aussieht, aber Gaming kaputtmacht: zusätzliche Latenz, Artefakte und Instabilität. Hier die kurze Liste zum Deaktivieren und warum.","2026-02-21T00:22:00.000Z",{"id":2690,"slug":2691,"title":2692,"excerpt":2693,"featuredImage":14,"publishedAt":2694},"142","display-cable-and-port-basics-fixing-120hz-vrr-and-hdr-handshake-issues","Display-Kabel und Port-Grundlagen: Behebung von 120Hz-, VRR- und HDR-Handshake-Problemen","Viele ‘Feature-Probleme’ sind Handshake-Probleme: falscher Port, falsches Kabel, falscher Eingangsmodus. Nutzen Sie diese Basis, um 120Hz, VRR und HDR wiederherzustellen.","2026-02-20T11:30:00.000Z",{"id":2696,"slug":2697,"title":2698,"excerpt":2699,"featuredImage":14,"publishedAt":2700},"199","wi-fi-bands-decision-2-4-vs-5-vs-6e-gaming-stability-first","WLAN-Bänder-Entscheidung: 2,4 vs 5 vs 6E (Gaming-Stabilität zuerst)","Wählen Sie WLAN-Bänder nach Stabilität, nicht nach Hype. Nutzen Sie diesen Leitfaden, um 2,4, 5 oder 6E basierend auf Entfernung, Überlastung und realem Jitter-Verhalten auszuwählen.","2026-02-20T18:00:00.000Z",{"id":2702,"slug":2703,"title":2704,"excerpt":2705,"featuredImage":14,"publishedAt":2706},"209","windows-audio-mixer-traps-why-pc-audio-feels-inconsistent-in-games","Windows-Audiomixer-Fallen: Warum sich PC-Audio in Spielen inkonsistent anfühlt","PC-Audio fühlt sich willkürlich an, wenn sich das Routing unbemerkt ändert. Lerne die Mixer-Fallen (Standardgeräte-Umschaltung, Erweiterungen, App-Routing) kennen und wie man einen stabilen Pfad festlegt.","2026-02-20T23:40:00.000Z",{"id":2708,"slug":2709,"title":2710,"excerpt":2711,"featuredImage":14,"publishedAt":2712},"217","nvidia-reflex-basics-when-it-helps-and-when-it-does-nothing","NVIDIA Reflex Grundlagen: Wann es hilft (und wann es nichts bringt)","Reflex reduziert die Verzögerung der Render-Warteschlange, wenn das Spiel GPU-limitiert und stabil ist. Erfahre mehr über die praktischen Bedingungen, unter denen es hilft, und die Fallen, die es sinnlos machen.","2026-02-20T21:00:00.000Z",{"id":2714,"slug":2715,"title":2716,"excerpt":2717,"featuredImage":14,"publishedAt":2718},"246","router-checklist-for-gaming-the-settings-that-actually-matter","Router-Checkliste für Gaming: Die Einstellungen, auf die es wirklich ankommt","Die meisten Router-Optimierungen helfen nicht. Diese Einstellungen schon: Warteschlangenmanagement unter Last, stabiles WLAN-Verhalten und das Vermeiden von Funktionen, die Latenz oder Instabilität verursachen.","2026-02-21T01:30:00.000Z",{"id":2720,"slug":2721,"title":2722,"excerpt":2723,"featuredImage":14,"publishedAt":2724},"180","router-checklist-v2-the-12-settings-that-prevent-lag-spikes","Router-Checkliste v2: Die 12 Einstellungen, die Lag-Spikes verhindern","Die meisten Lag-Spikes entstehen durch Last und Instabilität, nicht durch ‘schlechten Ping’. Nutze diese Router-Checkliste, um die Latenz unter Last zu stabilisieren, bevor du neue Hardware kaufst.","2026-02-20T16:00:00.000Z",{"id":2726,"slug":2727,"title":2728,"excerpt":2729,"featuredImage":14,"publishedAt":2730},"207","120hz-feels-worse-the-diagnosis-checklist-wrong-mode-vrr-range-caps","120Hz fühlen sich schlechter an? Diagnose-Checkliste (Falscher Modus, VRR-Bereich, Caps)","Eine höhere Bildwiederholrate kann Instabilitäten aufdecken. Nutze diese Checkliste, um zu diagnostizieren, warum sich 120 Hz schlechter anfühlen: falscher Modus, falscher Bildwiederholpfad, VRR-Bereichsprobleme oder fehlende Caps.","2026-02-20T20:30:00.000Z","fallback",[],[]]