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U 2026. godini, ta tehnička pitanja se sudaraju sa tržišnim problemom: dobavljači memorije sve više opslužuju AI i serverske kupce čija potražnja daleko prevazilazi gejmersku VRAM.\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\">Direktan odgovor\u003C\u002Fstrong>\u003Cdiv class=\"text-gray-700 dark:text-gray-200\">\u003Cstrong>AI preoblikuje gejmersku memoriju prvenstveno kroz alokaciju i ekonomiju, a ne zato što HBM bukvalno zamenjuje svaki štapić PC RAM-a ili svaki GDDR čip.\u003C\u002Fstrong> Dobavljači daju prioritet serverskim i HBM proizvodima, potrošački segmenti upijaju više troškove, a snabdevanje grafičkom memorijom je ograničeno. Za gejmere to čini efikasno korišćenje memorije strateški važnijim.\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\">Ne poistovećujte ove pojmove\u003C\u002Fstrong>\u003Cdiv class=\"text-gray-700 dark:text-gray-200\">HBM, GDDR, DDR\u002FLPDDR, VRAM kapacitet, propusni opseg i kompresija memorije rešavaju različite probleme. Visoka cena HBM-a vam ne govori automatski cenu određene grafičke kartice, a više VRAM-a ne znači automatski veći propusni opseg.\u003C\u002Fdiv>\u003C\u002Faside>\n\u003Cnav class=\"editorjs-toc\" data-editorjs-toc=\"true\" aria-label=\"Sadržaj\">\u003Cstrong class=\"editorjs-toc__title\">Sadržaj\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\">Tržišni signal: serverska potražnja dobija prioritet\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-8\" class=\"editorjs-toc__link\">HBM i GDDR nisu zamenljivi\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-11\" class=\"editorjs-toc__link\">Zašto je sam VRAM kapacitet slaba metrika\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-15\" class=\"editorjs-toc__link\">Kompresija menja efektivni kapacitet, ne DRAM takt\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-20\" class=\"editorjs-toc__link\">Pitanje kupca se menja\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-23\" class=\"editorjs-toc__link\">Hipoteza Figure Rocks: memorija postaje računski problem\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-26\" class=\"editorjs-toc__link\">Šta bi promenilo ovu analizu?\u003C\u002Fa>\u003C\u002Fli>\u003Cli class=\"editorjs-toc__item\">\u003Ca href=\"#section-28\" class=\"editorjs-toc__link\">Primarni izvori\u003C\u002Fa>\u003C\u002Fli>\u003C\u002Fol>\u003C\u002Fnav>\n\u003Ch2 id=\"section-5\">Tržišni signal: serverska potražnja dobija prioritet\u003C\u002Fh2>\n\u003Cp>TrendForce je u martu 2026. izvestio da dobavljači DRAM-a preusmeravaju kapacitete ka HBM i serverskim aplikacijama i da je snabdevanje grafičkim DRAM-om ostalo ograničeno ograničenom GDDR alokacijom. Do trećeg kvartala naveli su da potrošački kupci dostižu granice priuštivosti iako su AI i serverska potražnja ostale jake. Dana 30. septembra 2026, TrendForce je još uvek opisivao dobavljače kao one koji daju prioritet kapacitetima naprednih procesa za visokoperformantne serverske proizvode i projektovao još jedan rast od 10–15% kvartalno (QoQ) ugovornih cena konvencionalnog DRAM-a za četvrti kvartal. Važna poenta je istrajnost: pritisak je vidljiv krajem 2026, a ne samo u snimku nestašice s početka godine.\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\">Signal\u003C\u002Fth>\u003Cth class=\"border border-gray-300 px-4 py-2 text-left font-semibold\">Prijavljeno stanje u 2026.\u003C\u002Fth>\u003Cth class=\"border border-gray-300 px-4 py-2 text-left font-semibold\">Posledica po gejming\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd class=\"border border-gray-300 px-4 py-2\">Cene konvencionalnog DRAM-a\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-2\">Prognoza 58–63% QoQ za drugi kvartal\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-2\">Povećava pritisak na troškove sistemske memorije kod PC računara\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd class=\"border border-gray-300 px-4 py-2\">Grafički DRAM\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-2\">Ograničena GDDR alokacija\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-2\">Ograničava memorijski fond koji koriste gejmerski GPU-ovi\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd class=\"border border-gray-300 px-4 py-2\">Serverska\u002FAI memorija\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-2\">Dobavljači daju prioritet visokovrednim serverskim proizvodima\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-2\">Potrošački proizvodi se takmiče sa jačom potražnjom\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd class=\"border border-gray-300 px-4 py-2\">Priuštivost za potrošače\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-2\">TrendForce navodi da su kupci PC računara i pametnih telefona dostigli granice do trećeg kvartala\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-2\">Prodavci ne mogu preneti beskonačan trošak memorije bez gubitka obima prodaje\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd class=\"border border-gray-300 px-4 py-2\">Alokacija kapaciteta krajem 2026.\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-2\">Kapaciteti naprednih procesa i dalje prioritet za visokoperformantne servere; projektovan rast konvencionalnog DRAM-a od 10–15% QoQ za četvrti kvartal\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-2\">Pokazuje da strukturni pritisak alokacije nije nestao do septembra 2026.\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003C\u002Fdiv>\n\u003Ch2 id=\"section-8\">HBM i GDDR nisu zamenljivi\u003C\u002Fh2>\n\u003Csection class=\"editorjs-comparison my-6\">\u003Ch3 class=\"mb-3 text-lg font-semibold\">Različite uloge memorije\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\">HBM\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\">GDDR\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\">DDR\u002FLPDDR\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\">Tipična pozicija\u003C\u002Fth>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">AI\u002FHPC akceleratori i neki specijalizovani računarski sistemi\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">Diskretne grafičke kartice i konzole u zavisnosti od dizajna\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">Sistemska memorija; LPDDR se takođe koristi u integrisanim\u002Funifikovanim dizajnima\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Cth class=\"border border-gray-300 px-4 py-3 text-left font-semibold dark:border-gray-700\">Primarna prednost\u003C\u002Fth>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">Veoma visok agregatni propusni opseg blizu velikih akceleratora\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">Visok grafički propusni opseg uz ekonomiju diskretnih GPU-ova\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">Cena\u002Fkapacitet\u002Ffleksibilnost za opštu sistemsku memoriju\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Cth class=\"border border-gray-300 px-4 py-3 text-left font-semibold dark:border-gray-700\">Relevantnost za gejming\u003C\u002Fth>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">Danas indirektno kroz tržišnu konkurenciju i arhitektonske lekcije\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">Direktan VRAM put za diskretne gejmerske GPU-ove\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">CPU\u002Fsistemski radni set; unifikovani dizajni mogu ga deliti sa grafikom\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003C\u002Fdiv>\u003C\u002Fsection>\n\u003Cp>Važna tržišna veza stoga nije 'AI koristi HBM, pa igre gube HBM.' Već to što dobavljači optimizuju fabrike, napredne čvorove, pakovanje, inženjering i miksa proizvoda kroz portfolio. Kada serverski i AI proizvodi imaju jaku potražnju, oportunitetni trošak opsluživanja niskomarginalnih potrošačkih segmenata raste.\u003C\u002Fp>\n\u003Ch2 id=\"section-11\">Zašto je sam VRAM kapacitet slaba metrika\u003C\u002Fh2>\n\u003Cp>Kartica sa 16 GB nije automatski sigurnija od kartice sa 12 GB u svakoj igri, a pun VRAM metar nije dokaz da igra zahteva svaki alocirani bajt. Korisna razlika je između alokacije, radnog seta, pritiska rezidentnosti i propusnog opsega. Kapacitet vam govori šta može da stane. Propusni opseg vam govori koliko brzo podaci mogu da se kreću. Politika rezidentnosti vam govori šta se zapravo drži blizu GPU-a.\u003C\u002Fp>\n\u003Caside class=\"editorjs-referral my-6\">\u003Ca href=\"https:\u002F\u002Ffigure.rocks\u002Fsr\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\">Korišćenje VRAM-a nije zahtev za VRAM: Zašto pun memorijski metar ne govori celu priču\u003C\u002Fstrong>\u003Cp class=\"mt-2 text-sm text-gray-600 dark:text-gray-300\">Razdvojite alociranu memoriju, radni set i pritisak rezidentnosti pre nego što zaključite da je igra prevazišla karticu.\u003C\u002Fp>\u003Cspan class=\"mt-3 inline-flex text-sm font-medium text-primary-600 dark:text-primary-400\">Pročitajte VRAM vodič →\u003C\u002Fspan>\u003C\u002Fdiv>\u003C\u002Fa>\u003C\u002Faside>\n\u003Csection class=\"editorjs-process my-6\">\u003Ch3 class=\"mb-3 text-lg font-semibold\">Lanac pritiska na gejmersku memoriju\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. Aseti rastu\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Teksture više detaljnosti, geometrija i podaci za ray tracing povećavaju pritisak na radni set.\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. Modeli ulaze u grafiku\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Neuronsko renderovanje dodaje težine i intermedijalne podatke u memorijsku sliku.\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. AI infrastruktura podiže spoljnu potražnju\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Serverska memorija, HBM i preduzetničko skladištenje troše pažnju i kapacitet dobavljača.\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. Dizajneri proizvoda prave kompromis između kapaciteta i cene\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Više memorije može povećati cenu ploče ili prisiliti kompromise na drugim mestima.\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. Engine-i kompenzuju\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Striming, kompresija, rekonstrukcija i bolje upravljanje rezidentnošću postaju vredniji.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003C\u002Fdiv>\u003C\u002Fsection>\n\u003Ch2 id=\"section-15\">Kompresija menja efektivni kapacitet, ne DRAM takt\u003C\u002Fh2>\n\u003Cp>Ova razlika je važna jer se neuronska kompresija često opisuje previše labavo. NVIDIA-ino istraživanje neuronske kompresije tekstura pokazalo je 16× više teksela od poređenja sa niskorezolucijskim BC High pri sličnom budžetu za skladištenje, uz korišćenje 30% manje memorije u ilustrovanom postavu. To ne čini GDDR fizički bržim. To menja koliko korisnih vizuelnih informacija može biti predstavljeno unutar datog budžeta za skladištenje i memoriju. Šira dizajnerska lekcija je da računanje može zameniti deo budžeta za skladištenje ili memoriju kada je trošak rekonstrukcije niži od izbegnutih bajtova.\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\">Razmišljajte u efektivnom radu, ne u lažnim GHz\u003C\u002Fstrong>\u003Cdiv class=\"text-gray-700 dark:text-gray-200\">Memorijski podsistem može poboljšati rezultat bez promene svog nominalnog takta ili sirovih GB\u002Fs. Ako kompresija ili kompaktne neuronske reprezentacije smanje bajtove, rezidentnost zadrži korisni radni set na mestu, ili prefetch sakrije promašaj potražnje, \u003Cstrong>efektivni rad po prenetom bajtu može se poboljšati dok fizička DRAM brzina ostaje ista\u003C\u002Fstrong>. Dobitak zavisi od radnog opterećenja i može koštati dekompresiju, inferenciju, predikciju ili keš prostor.\u003C\u002Fdiv>\u003C\u002Faside>\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\">Dokazi o kompresiji sa pravim formulacijama\u003C\u002Fstrong>\u003Cdiv class=\"text-gray-700 dark:text-gray-200\">Buddy Compression je u svojoj evaluaciji prijavio prosečnu kompresiju od 2,2× na HPC radnim opterećenjima i 1,5× na radnim opterećenjima dubokog učenja. Ispravna interpretacija je \u003Cstrong>veći efektivni kapacitet i potencijalno manje saobraćaja za kompresibilne podatke\u003C\u002Fstrong>, a ne „RAM radi 1,5× brže.“\u003C\u002Fdiv>\u003C\u002Faside>\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\">Ne citirajte 460× kao kompresiju\u003C\u002Fstrong>\u003Cdiv class=\"text-gray-700 dark:text-gray-200\">Brojka od 460× o kojoj se govori u nekim NVIDIA poređenjima sistema predstavlja poređenje kapaciteta memorije dostupne GPU-u između DGX generacija, a ne odnos kompresije. Tretirati je kao „460× brži RAM“ ili „460× kompresiju“ bilo bi pogrešno.\u003C\u002Fdiv>\u003C\u002Faside>\n\u003Ch2 id=\"section-20\">Pitanje kupca se menja\u003C\u002Fh2>\n\u003Csection class=\"editorjs-process my-6\">\u003Ch3 class=\"mb-3 text-lg font-semibold\">Bolji sled kupovine memorije\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. Definišite stvarne igre i rezoluciju\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Otvoreni svet sa mnogo 4K tekstura i takmičarska igra u 1080p opterećuju memoriju na različite načine.\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. Proverite dokaze o radnom skupu\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Tražite dosledno zastajkivanje, izbacivanje ili pad kvaliteta, a ne samo broj alocirane memorije.\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. Razdvojite kapacitet od propusnog opsega\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Više GB ne rešava svako usko grlo propusnog opsega ili latencije.\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. Proverite podršku za neuronske funkcije\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Buduća efikasnost može zavisiti od toga da li platforma može dobro da izvršava radne zadatke kompresije\u002Frekonstrukcije.\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. Odredite cenu celog sistema\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Skupa VRAM koja sprečava kupovinu jačeg GPU-a ili CPU-a može biti loša trgovina.\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. Kupujte za poznata ograničenja\u003C\u002Fdiv>\u003Cdiv class=\"mt-1 text-sm text-gray-600 dark:text-gray-300\">Ne plaćajte za spekulativni kapacitet bez verovatnog radnog opterećenja.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003C\u002Fdiv>\u003C\u002Fsection>\n\u003Csection class=\"editorjs-comparison my-6\">\u003Ch3 class=\"mb-3 text-lg font-semibold\">Pet različitih „poboljšanja memorije“ koja ne treba mešati\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\">Metrika\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\">Šta se poboljšava\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\">Šta se ne poboljšava automatski\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\">Fizički kapacitet\u003C\u002Fth>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">GB\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">Koliko podataka može biti rezidentno\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">Propusni opseg ili latencija\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Cth class=\"border border-gray-300 px-4 py-3 text-left font-semibold dark:border-gray-700\">Sirovi propusni opseg\u003C\u002Fth>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">GB\u002Fs\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">Maksimalna brzina prenosa\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">Tačnost predviđanja ili veličina radnog skupa\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Cth class=\"border border-gray-300 px-4 py-3 text-left font-semibold dark:border-gray-700\">Efektivni kapacitet\u003C\u002Fth>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">Odnos kompresije\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">Bajtovi predstavljeni po fizičkom bajtu\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">DRAM takt\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Cth class=\"border border-gray-300 px-4 py-3 text-left font-semibold dark:border-gray-700\">Efektivna latencija pristupa\u003C\u002Fth>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">Stopa pogodaka \u002F smanjenje zastoja\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">Verovatnoća da su podaci spremni pre zahteva\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">Fizički plafon propusnog opsega\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Cth class=\"border border-gray-300 px-4 py-3 text-left font-semibold dark:border-gray-700\">Stabilnost radnog skupa\u003C\u002Fth>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">Izbacivanja \u002F migracije\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">Koliko dosledno vrući podaci ostaju dostupni\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">Ukupno instalirana memorija\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003C\u002Fdiv>\u003C\u002Fsection>\n\u003Ch2 id=\"section-23\">Hipoteza Figure Rocks: memorija postaje računski problem\u003C\u002Fh2>\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\">Hipoteza\u003C\u002Fstrong>\u003Cdiv class=\"text-gray-700 dark:text-gray-200\">Sledeći korak nije jednostavno „više VRAM-a“. Budući engine može tretirati memoriju kao sistem \u003Cstrong>reprezentacije + predviđanja + rezidentnosti + propusnog opsega + inferencije\u003C\u002Fstrong>. Ako tekstura može biti uskladištena kompaktnije, ako podaci koji će verovatno biti potrebni mogu biti unapred dohvaćeni i ako neki vizuelni detalj može biti rekonstruisan, engine može promeniti koliko fizičke memorije i kretanja scena zahteva.\u003C\u002Fdiv>\u003C\u002Faside>\n\u003Csection class=\"editorjs-comparison my-6\">\u003Ch3 class=\"mb-3 text-lg font-semibold\">Šta više memorije može, a šta ne može da reši\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\">Može pomoći\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\">Ne može garantovati\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\">Veće scene\u002Fasete mogu ostati rezidentne\u003C\u002Fth>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">Da\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">Nema garancije za veći propusni opseg\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Cth class=\"border border-gray-300 px-4 py-3 text-left font-semibold dark:border-gray-700\">Smanjiti pritisak izbacivanja kada je kapacitet usko grlo\u003C\u002Fth>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">Da\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">Nema garancije protiv kompilacije šejdera ili CPU zastoja\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Cth class=\"border border-gray-300 px-4 py-3 text-left font-semibold dark:border-gray-700\">Omogućiti rezervu za veće radne skupove\u002Fmodele\u003C\u002Fth>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">Da\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">Nema garancije da će budući engine-i efikasno koristiti tu rezervu\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Cth class=\"border border-gray-300 px-4 py-3 text-left font-semibold dark:border-gray-700\">Izbegavati neke padove kvaliteta tekstura\u003C\u002Fth>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">Da\u003C\u002Ftd>\u003Ctd class=\"border border-gray-300 px-4 py-3 dark:border-gray-700\">Nema garancije za bolju rekonstrukciju ili tempo kadrova\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003C\u002Fdiv>\u003C\u002Fsection>\n\u003Ch2 id=\"section-26\">Šta bi promenilo ovu analizu?\u003C\u002Fh2>\n\u003Cp>Pritisak bi se smanjio ako dobavljači dodaju dovoljno kapaciteta namenjenog potrošačima, ako potražnja za AI bude rasla sporije od očekivanog ili ako cenovna konkurencija natera proizvodne mikseve nazad ka potrošačkim tržištima. Tehnički argument se takođe menja ako neuronska kompresija i upravljanje memorijom na nivou engine-a ne uspeju da pruže dovoljnu vrednost u realnom vremenu.\u003C\u002Fp>\n\u003Ch2 id=\"section-28\">Primarni izvori\u003C\u002Fh2>\n\u003Ca href=\"https:\u002F\u002Fwww.trendforce.com\u002Fpresscenter\u002Fnews\u002F20260930-13258.html\" 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\">TrendForce — izgledi za memoriju u 4Q26\u003C\u002Fstrong>\u003Cp class=\"text-sm text-gray-600 dark:text-gray-400\">Dokazi iz kasne 2026. o dodeli kapaciteta sa prioritetom servera i pritisku na potrošače.\u003C\u002Fp>\u003C\u002Fa>\n\u003Ca href=\"https:\u002F\u002Fwww.trendforce.com\u002Fpresscenter\u002Fnews\u002F20260331-12995.html\" 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\">TrendForce — Potražnja za AI serverima i cene memorije u 2Q26\u003C\u002Fstrong>\u003Cp class=\"text-sm text-gray-600 dark:text-gray-400\">Dokazi o prioritizaciji HBM\u002Fservera, ograničenoj dodeli GDDR-a i pritisku na potrošače.\u003C\u002Fp>\u003C\u002Fa>\n\u003Ca href=\"https:\u002F\u002Fresearch.nvidia.com\u002Fpublication\u002F2019-04_buddy-compression-enabling-larger-memory-deep-learning-and-hpc-workloads-gpus\" 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 Research — Buddy Compression\u003C\u002Fstrong>\u003Cp class=\"text-sm text-gray-600 dark:text-gray-400\">Izvor za rezultate kompresije efektivne memorije i usporavanje.\u003C\u002Fp>\u003C\u002Fa>\n\u003Ca href=\"https:\u002F\u002Fwww.trendforce.com\u002Fpresscenter\u002Fnews\u002F20260907-13219.html\" 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\">TrendForce — Prihod od DRAM-a i dodela snabdevanja, 2Q26\u003C\u002Fstrong>\u003Cp class=\"text-sm text-gray-600 dark:text-gray-400\">Izveštaj iz septembra 2026. koji pokazuje da širenje snabdevanja zaostaje za potražnjom i da je dodatno snabdevanje prioritizovano za servere.\u003C\u002Fp>\u003C\u002Fa>\n\u003Ca href=\"https:\u002F\u002Fresearch.nvidia.com\u002Fpublication\u002F2023-08_random-access-neural-compression-material-textures\" 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 Research — Neuronska kompresija materijalnih tekstura sa slučajnim pristupom\u003C\u002Fstrong>\u003Cp class=\"text-sm text-gray-600 dark:text-gray-400\">Primarni istraživački izvor za neuronsku kompresiju materijalnih tekstura.\u003C\u002Fp>\u003C\u002Fa>\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\">Memorija za igre i AI potražnja\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\">Da li HBM zamenjuje GDDR u gejming GPU-ovima?\u003C\u002Fh4>\u003Cdiv class=\"mt-2 text-gray-600 dark:text-gray-300\">Ne po pravilu. HBM i GDDR služe različitim proizvodnim i cenovnim ciljevima. Trenutna relevantnost HBM-a za gejmere je uglavnom ekonomska i arhitektonska.\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\">Da li više VRAM-a uvek smanjuje zastajkivanje?\u003C\u002Fh4>\u003Cdiv class=\"mt-2 text-gray-600 dark:text-gray-300\">Ne. Pomaže kada je uzrok pritisak na rezidentnost\u002Fkapacitet. Kompilacija šejdera, CPU zastoji, skladište, mreža i tempo kadrova mogu izazvati zastajkivanje bez nedostatka VRAM kapaciteta.\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\">Da li kompresija povećava brzinu memorije?\u003C\u002Fh4>\u003Cdiv class=\"mt-2 text-gray-600 dark:text-gray-300\">Ne fizički takt ili sirovi propusni opseg. Može smanjiti količinu podataka koja mora biti uskladištena ili preneta za ciljni rezultat.\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\">Zašto je AI važan za cene GDDR-a?\u003C\u002Fh4>\u003Cdiv class=\"mt-2 text-gray-600 dark:text-gray-300\">Zato što dobavljači dodeljuju procesne kapacitete i proizvodni miks između serverskog, AI, PC, grafičkog i potrošačkog tržišta. Jača serverska potražnja može stisnuti segmente nižeg prioriteta.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003C\u002Fsection>\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\">Memorijski termini koje ne treba mešati\u003C\u002Fh3>\u003Cdl>\u003Cdiv id=\"vram\" 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\">VRAM kapacitet\u003C\u002Fdt>\u003Cdd class=\"mt-1 text-gray-600 dark:text-gray-300\">Količina grafički adresabilne memorije dostupne diskretnom GPU-u ili grafičkom podsistemu.\u003C\u002Fdd>\u003C\u002Fdiv>\u003Cdiv id=\"bandwidth\" 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\">Propusni opseg\u003C\u002Fdt>\u003Cdd class=\"mt-1 text-gray-600 dark:text-gray-300\">Količina podataka koja može biti preneta u jedinici vremena, obično izražena u GB\u002Fs.\u003C\u002Fdd>\u003C\u002Fdiv>\u003Cdiv id=\"residency\" 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\">Rezidentnost\u003C\u002Fdt>\u003Cdd class=\"mt-1 text-gray-600 dark:text-gray-300\">Koji resursi se u datom trenutku drže u brzoj memoriji dostupnoj GPU-u.\u003C\u002Fdd>\u003C\u002Fdiv>\u003Cdiv id=\"hbm\" 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\">HBM\u003C\u002Fdt>\u003Cdd class=\"mt-1 text-gray-600 dark:text-gray-300\">High Bandwidth Memory, tehnologija slojevite memorije optimizovana za veoma visok propusni opseg i mnogo korišćena u akceleratorima.\u003C\u002Fdd>\u003C\u002Fdiv>\u003Cdiv id=\"gddr\" 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\">GDDR\u003C\u002Fdt>\u003Cdd class=\"mt-1 text-gray-600 dark:text-gray-300\">Grafički orijentisana memorija sa dvostrukom brzinom prenosa podataka koju obično koriste diskretni GPU-ovi.\u003C\u002Fdd>\u003C\u002Fdiv>\u003Cdiv id=\"effective-capacity\" 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\">Efektivni kapacitet\u003C\u002Fdt>\u003Cdd class=\"mt-1 text-gray-600 dark:text-gray-300\">Korisni otisak podataka koji sistem može da podrži nakon izbora reprezentacije i kompresije; nije zamena za fizički kapacitet.\u003C\u002Fdd>\u003C\u002Fdiv>\u003C\u002Fdl>\u003C\u002Fsection>",{"time":538,"blocks":539,"version":962},1792335604075,[540,546,554,561,568,574,579,610,615,653,658,663,668,677,700,705,710,717,723,730,735,759,810,815,821,854,859,864,869,879,888,897,906,915,938],{"id":541,"data":542,"type":544,"tunes":545},"p-0045",{"text":543},"Moderan gejmerski PC može imati dovoljno GPU računarske snage, a i dalje biti ograničen kapacitetom memorije, propusnim opsegom, rezidentnošću ili cenom. U 2026. godini, ta tehnička pitanja se sudaraju sa tržišnim problemom: dobavljači memorije sve više opslužuju AI i serverske kupce čija potražnja daleko prevazilazi gejmersku VRAM.","paragraph",{},{"id":547,"data":548,"type":552,"tunes":553},"c-0046",{"body":549,"title":550,"variant":551},"\u003Cstrong>AI preoblikuje gejmersku memoriju prvenstveno kroz alokaciju i ekonomiju, a ne zato što HBM bukvalno zamenjuje svaki štapić PC RAM-a ili svaki GDDR čip.\u003C\u002Fstrong> Dobavljači daju prioritet serverskim i HBM proizvodima, potrošački segmenti upijaju više troškove, a snabdevanje grafičkom memorijom je ograničeno. Za gejmere to čini efikasno korišćenje memorije strateški važnijim.","Direktan odgovor","info","callout",{},{"id":555,"data":556,"type":552,"tunes":560},"c-0047",{"body":557,"title":558,"variant":559},"HBM, GDDR, DDR\u002FLPDDR, VRAM kapacitet, propusni opseg i kompresija memorije rešavaju različite probleme. Visoka cena HBM-a vam ne govori automatski cenu određene grafičke kartice, a više VRAM-a ne znači automatski veći propusni opseg.","Ne poistovećujte ove pojmove","note",{},{"id":562,"data":563,"type":566,"tunes":567},"toc-0048",{"title":564,"maxLevel":565,"minLevel":47},"Sadržaj",3,"tableOfContents",{},{"id":569,"data":570,"type":572,"tunes":573},"h-0049",{"text":571,"level":47},"Tržišni signal: serverska potražnja dobija prioritet","header",{},{"id":575,"data":576,"type":544,"tunes":578},"p-0050",{"text":577},"TrendForce je u martu 2026. izvestio da dobavljači DRAM-a preusmeravaju kapacitete ka HBM i serverskim aplikacijama i da je snabdevanje grafičkim DRAM-om ostalo ograničeno ograničenom GDDR alokacijom. Do trećeg kvartala naveli su da potrošački kupci dostižu granice priuštivosti iako su AI i serverska potražnja ostale jake. Dana 30. septembra 2026, TrendForce je još uvek opisivao dobavljače kao one koji daju prioritet kapacitetima naprednih procesa za visokoperformantne serverske proizvode i projektovao još jedan rast od 10–15% kvartalno (QoQ) ugovornih cena konvencionalnog DRAM-a za četvrti kvartal. Važna poenta je istrajnost: pritisak je vidljiv krajem 2026, a ne samo u snimku nestašice s početka godine.",{},{"id":580,"data":581,"type":608,"tunes":609},"t-0051",{"content":582,"stretched":607,"withHeadings":15},[583,587,591,595,599,603],[584,585,586],"Signal","Prijavljeno stanje u 2026.","Posledica po gejming",[588,589,590],"Cene konvencionalnog DRAM-a","Prognoza 58–63% QoQ za drugi kvartal","Povećava pritisak na troškove sistemske memorije kod PC računara",[592,593,594],"Grafički DRAM","Ograničena GDDR alokacija","Ograničava memorijski fond koji koriste gejmerski GPU-ovi",[596,597,598],"Serverska\u002FAI memorija","Dobavljači daju prioritet visokovrednim serverskim proizvodima","Potrošački proizvodi se takmiče sa jačom potražnjom",[600,601,602],"Priuštivost za potrošače","TrendForce navodi da su kupci PC računara i pametnih telefona dostigli granice do trećeg kvartala","Prodavci ne mogu preneti beskonačan trošak memorije bez gubitka obima prodaje",[604,605,606],"Alokacija kapaciteta krajem 2026.","Kapaciteti naprednih procesa i dalje prioritet za visokoperformantne servere; projektovan rast konvencionalnog DRAM-a od 10–15% QoQ za četvrti kvartal","Pokazuje da strukturni pritisak alokacije nije nestao do septembra 2026.",false,"table",{},{"id":611,"data":612,"type":572,"tunes":614},"h-0052",{"text":613,"level":47},"HBM i GDDR nisu zamenljivi",{},{"id":616,"data":617,"type":651,"tunes":652},"cmp-0053",{"rows":618,"title":640,"layout":608,"columns":641},[619,626,633],{"id":620,"label":621,"values":622},"where","Tipična pozicija",{"ddr":623,"hbm":624,"gddr":625},"Sistemska memorija; LPDDR se takođe koristi u integrisanim\u002Funifikovanim dizajnima","AI\u002FHPC akceleratori i neki specijalizovani računarski sistemi","Diskretne grafičke kartice i konzole u zavisnosti od dizajna",{"id":627,"label":628,"values":629},"strength","Primarna prednost",{"ddr":630,"hbm":631,"gddr":632},"Cena\u002Fkapacitet\u002Ffleksibilnost za opštu sistemsku memoriju","Veoma visok agregatni propusni opseg blizu velikih akceleratora","Visok grafički propusni opseg uz ekonomiju diskretnih GPU-ova",{"id":634,"label":635,"values":636},"gaming","Relevantnost za gejming",{"ddr":637,"hbm":638,"gddr":639},"CPU\u002Fsistemski radni set; unifikovani dizajni mogu ga deliti sa grafikom","Danas indirektno kroz tržišnu konkurenciju i arhitektonske lekcije","Direktan VRAM put za diskretne gejmerske GPU-ove","Različite uloge memorije",[642,645,648],{"id":643,"label":644},"hbm","HBM",{"id":646,"label":647},"gddr","GDDR",{"id":649,"label":650},"ddr","DDR\u002FLPDDR","comparison",{},{"id":654,"data":655,"type":544,"tunes":657},"p-0054",{"text":656},"Važna tržišna veza stoga nije 'AI koristi HBM, pa igre gube HBM.' Već to što dobavljači optimizuju fabrike, napredne čvorove, pakovanje, inženjering i miksa proizvoda kroz portfolio. Kada serverski i AI proizvodi imaju jaku potražnju, oportunitetni trošak opsluživanja niskomarginalnih potrošačkih segmenata raste.",{},{"id":659,"data":660,"type":572,"tunes":662},"h-0055",{"text":661,"level":47},"Zašto je sam VRAM kapacitet slaba metrika",{},{"id":664,"data":665,"type":544,"tunes":667},"p-0056",{"text":666},"Kartica sa 16 GB nije automatski sigurnija od kartice sa 12 GB u svakoj igri, a pun VRAM metar nije dokaz da igra zahteva svaki alocirani bajt. Korisna razlika je između alokacije, radnog seta, pritiska rezidentnosti i propusnog opsega. Kapacitet vam govori šta može da stane. Propusni opseg vam govori koliko brzo podaci mogu da se kreću. Politika rezidentnosti vam govori šta se zapravo drži blizu GPU-a.",{},{"id":669,"data":670,"type":675,"tunes":676},"ref-0057",{"url":671,"title":672,"excerpt":673,"ctaLabel":674},"https:\u002F\u002Ffigure.rocks\u002Fsr\u002Fblog\u002Fvram-usage-is-not-vram-requirement-why-a-full-memory-meter-does-not-tell-the-whole-story","Korišćenje VRAM-a nije zahtev za VRAM: Zašto pun memorijski metar ne govori celu priču","Razdvojite alociranu memoriju, radni set i pritisak rezidentnosti pre nego što zaključite da je igra prevazišla karticu.","Pročitajte VRAM vodič","referralArticle",{},{"id":678,"data":679,"type":698,"tunes":699},"flow-0058",{"steps":680,"title":696,"orientation":697},[681,684,687,690,693],{"label":682,"description":683},"1. Aseti rastu","Teksture više detaljnosti, geometrija i podaci za ray tracing povećavaju pritisak na radni set.",{"label":685,"description":686},"2. Modeli ulaze u grafiku","Neuronsko renderovanje dodaje težine i intermedijalne podatke u memorijsku sliku.",{"label":688,"description":689},"3. AI infrastruktura podiže spoljnu potražnju","Serverska memorija, HBM i preduzetničko skladištenje troše pažnju i kapacitet dobavljača.",{"label":691,"description":692},"4. Dizajneri proizvoda prave kompromis između kapaciteta i cene","Više memorije može povećati cenu ploče ili prisiliti kompromise na drugim mestima.",{"label":694,"description":695},"5. Engine-i kompenzuju","Striming, kompresija, rekonstrukcija i bolje upravljanje rezidentnošću postaju vredniji.","Lanac pritiska na gejmersku memoriju","auto","processFlow",{},{"id":701,"data":702,"type":572,"tunes":704},"h-0059",{"text":703,"level":47},"Kompresija menja efektivni kapacitet, ne DRAM takt",{},{"id":706,"data":707,"type":544,"tunes":709},"p-0060",{"text":708},"Ova razlika je važna jer se neuronska kompresija često opisuje previše labavo. NVIDIA-ino istraživanje neuronske kompresije tekstura pokazalo je 16× više teksela od poređenja sa niskorezolucijskim BC High pri sličnom budžetu za skladištenje, uz korišćenje 30% manje memorije u ilustrovanom postavu. To ne čini GDDR fizički bržim. To menja koliko korisnih vizuelnih informacija može biti predstavljeno unutar datog budžeta za skladištenje i memoriju. Šira dizajnerska lekcija je da računanje može zameniti deo budžeta za skladištenje ili memoriju kada je trošak rekonstrukcije niži od izbegnutih bajtova.",{},{"id":711,"data":712,"type":552,"tunes":716},"c-0061",{"body":713,"title":714,"variant":715},"Memorijski podsistem može poboljšati rezultat bez promene svog nominalnog takta ili sirovih GB\u002Fs. Ako kompresija ili kompaktne neuronske reprezentacije smanje bajtove, rezidentnost zadrži korisni radni set na mestu, ili prefetch sakrije promašaj potražnje, \u003Cstrong>efektivni rad po prenetom bajtu može se poboljšati dok fizička DRAM brzina ostaje ista\u003C\u002Fstrong>. Dobitak zavisi od radnog opterećenja i može koštati dekompresiju, inferenciju, predikciju ili keš prostor.","Razmišljajte u efektivnom radu, ne u lažnim GHz","success",{},{"id":718,"data":719,"type":552,"tunes":722},"v3-buddy",{"body":720,"title":721,"variant":551},"Buddy Compression je u svojoj evaluaciji prijavio prosečnu kompresiju od 2,2× na HPC radnim opterećenjima i 1,5× na radnim opterećenjima dubokog učenja. Ispravna interpretacija je \u003Cstrong>veći efektivni kapacitet i potencijalno manje saobraćaja za kompresibilne podatke\u003C\u002Fstrong>, a ne „RAM radi 1,5× brže.“","Dokazi o kompresiji sa pravim formulacijama",{},{"id":724,"data":725,"type":552,"tunes":729},"v3-460",{"body":726,"title":727,"variant":728},"Brojka od 460× o kojoj se govori u nekim NVIDIA poređenjima sistema predstavlja poređenje kapaciteta memorije dostupne GPU-u između DGX generacija, a ne odnos kompresije. Tretirati je kao „460× brži RAM“ ili „460× kompresiju“ bilo bi pogrešno.","Ne citirajte 460× kao kompresiju","warning",{},{"id":731,"data":732,"type":572,"tunes":734},"h-0062",{"text":733,"level":47},"Pitanje kupca se menja",{},{"id":736,"data":737,"type":698,"tunes":758},"flow-0063",{"steps":738,"title":757,"orientation":697},[739,742,745,748,751,754],{"label":740,"description":741},"1. Definišite stvarne igre i rezoluciju","Otvoreni svet sa mnogo 4K tekstura i takmičarska igra u 1080p opterećuju memoriju na različite načine.",{"label":743,"description":744},"2. Proverite dokaze o radnom skupu","Tražite dosledno zastajkivanje, izbacivanje ili pad kvaliteta, a ne samo broj alocirane memorije.",{"label":746,"description":747},"3. Razdvojite kapacitet od propusnog opsega","Više GB ne rešava svako usko grlo propusnog opsega ili latencije.",{"label":749,"description":750},"4. Proverite podršku za neuronske funkcije","Buduća efikasnost može zavisiti od toga da li platforma može dobro da izvršava radne zadatke kompresije\u002Frekonstrukcije.",{"label":752,"description":753},"5. Odredite cenu celog sistema","Skupa VRAM koja sprečava kupovinu jačeg GPU-a ili CPU-a može biti loša trgovina.",{"label":755,"description":756},"6. Kupujte za poznata ograničenja","Ne plaćajte za spekulativni kapacitet bez verovatnog radnog opterećenja.","Bolji sled kupovine memorije",{},{"id":760,"data":761,"type":651,"tunes":809},"v3-memory-metrics",{"rows":762,"title":798,"layout":608,"columns":799},[763,770,777,784,791],{"id":764,"label":765,"values":766},"capacity","Fizički kapacitet",{"not":767,"metric":768,"improves":769},"Propusni opseg ili latencija","GB","Koliko podataka može biti rezidentno",{"id":771,"label":772,"values":773},"bandwidth","Sirovi propusni opseg",{"not":774,"metric":775,"improves":776},"Tačnost predviđanja ili veličina radnog skupa","GB\u002Fs","Maksimalna brzina prenosa",{"id":778,"label":779,"values":780},"compression","Efektivni kapacitet",{"not":781,"metric":782,"improves":783},"DRAM takt","Odnos kompresije","Bajtovi predstavljeni po fizičkom bajtu",{"id":785,"label":786,"values":787},"prefetch","Efektivna latencija pristupa",{"not":788,"metric":789,"improves":790},"Fizički plafon propusnog opsega","Stopa pogodaka \u002F smanjenje zastoja","Verovatnoća da su podaci spremni pre zahteva",{"id":792,"label":793,"values":794},"residency","Stabilnost radnog skupa",{"not":795,"metric":796,"improves":797},"Ukupno instalirana memorija","Izbacivanja \u002F migracije","Koliko dosledno vrući podaci ostaju dostupni","Pet različitih „poboljšanja memorije“ koja ne treba mešati",[800,803,806],{"id":801,"label":802},"metric","Metrika",{"id":804,"label":805},"improves","Šta se poboljšava",{"id":807,"label":808},"not","Šta se ne poboljšava automatski",{},{"id":811,"data":812,"type":572,"tunes":814},"h-0064",{"text":813,"level":47},"Hipoteza Figure Rocks: memorija postaje računski problem",{},{"id":816,"data":817,"type":552,"tunes":820},"c-0065",{"body":818,"title":819,"variant":559},"Sledeći korak nije jednostavno „više VRAM-a“. Budući engine može tretirati memoriju kao sistem \u003Cstrong>reprezentacije + predviđanja + rezidentnosti + propusnog opsega + inferencije\u003C\u002Fstrong>. Ako tekstura može biti uskladištena kompaktnije, ako podaci koji će verovatno biti potrebni mogu biti unapred dohvaćeni i ako neki vizuelni detalj može biti rekonstruisan, engine može promeniti koliko fizičke memorije i kretanja scena zahteva.","Hipoteza",{},{"id":822,"data":823,"type":651,"tunes":853},"cmp-0066",{"rows":824,"title":845,"layout":608,"columns":846},[825,830,835,840],{"id":764,"label":826,"values":827},"Veće scene\u002Fasete mogu ostati rezidentne",{"can":828,"cannot":829},"Da","Nema garancije za veći propusni opseg",{"id":831,"label":832,"values":833},"stutter","Smanjiti pritisak izbacivanja kada je kapacitet usko grlo",{"can":828,"cannot":834},"Nema garancije protiv kompilacije šejdera ili CPU zastoja",{"id":836,"label":837,"values":838},"future","Omogućiti rezervu za veće radne skupove\u002Fmodele",{"can":828,"cannot":839},"Nema garancije da će budući engine-i efikasno koristiti tu rezervu",{"id":841,"label":842,"values":843},"quality","Izbegavati neke padove kvaliteta tekstura",{"can":828,"cannot":844},"Nema garancije za bolju rekonstrukciju ili tempo kadrova","Šta više memorije može, a šta ne može da reši",[847,850],{"id":848,"label":849},"can","Može pomoći",{"id":851,"label":852},"cannot","Ne može garantovati",{},{"id":855,"data":856,"type":572,"tunes":858},"h-0067",{"text":857,"level":47},"Šta bi promenilo ovu analizu?",{},{"id":860,"data":861,"type":544,"tunes":863},"p-0068",{"text":862},"Pritisak bi se smanjio ako dobavljači dodaju dovoljno kapaciteta namenjenog potrošačima, ako potražnja za AI bude rasla sporije od očekivanog ili ako cenovna konkurencija natera proizvodne mikseve nazad ka potrošačkim tržištima. Tehnički argument se takođe menja ako neuronska kompresija i upravljanje memorijom na nivou engine-a ne uspeju da pruže dovoljnu vrednost u realnom vremenu.",{},{"id":865,"data":866,"type":572,"tunes":868},"h-0069",{"text":867,"level":47},"Primarni izvori",{},{"id":870,"data":871,"type":877,"tunes":878},"v3-src-trend-q4",{"link":872,"meta":873},"https:\u002F\u002Fwww.trendforce.com\u002Fpresscenter\u002Fnews\u002F20260930-13258.html",{"image":874,"title":875,"description":876},{"url":13},"TrendForce — izgledi za memoriju u 4Q26","Dokazi iz kasne 2026. o dodeli kapaciteta sa prioritetom servera i pritisku na potrošače.","linkTool",{},{"id":880,"data":881,"type":877,"tunes":887},"src-0070",{"link":882,"meta":883},"https:\u002F\u002Fwww.trendforce.com\u002Fpresscenter\u002Fnews\u002F20260331-12995.html",{"image":884,"title":885,"description":886},{"url":13},"TrendForce — Potražnja za AI serverima i cene memorije u 2Q26","Dokazi o prioritizaciji HBM\u002Fservera, ograničenoj dodeli GDDR-a i pritisku na potrošače.",{},{"id":889,"data":890,"type":877,"tunes":896},"v3-src-buddy2",{"link":891,"meta":892},"https:\u002F\u002Fresearch.nvidia.com\u002Fpublication\u002F2019-04_buddy-compression-enabling-larger-memory-deep-learning-and-hpc-workloads-gpus",{"image":893,"title":894,"description":895},{"url":13},"NVIDIA Research — Buddy Compression","Izvor za rezultate kompresije efektivne memorije i usporavanje.",{},{"id":898,"data":899,"type":877,"tunes":905},"src-0071",{"link":900,"meta":901},"https:\u002F\u002Fwww.trendforce.com\u002Fpresscenter\u002Fnews\u002F20260907-13219.html",{"image":902,"title":903,"description":904},{"url":13},"TrendForce — Prihod od DRAM-a i dodela snabdevanja, 2Q26","Izveštaj iz septembra 2026. koji pokazuje da širenje snabdevanja zaostaje za potražnjom i da je dodatno snabdevanje prioritizovano za servere.",{},{"id":907,"data":908,"type":877,"tunes":914},"src-0072",{"link":909,"meta":910},"https:\u002F\u002Fresearch.nvidia.com\u002Fpublication\u002F2023-08_random-access-neural-compression-material-textures",{"image":911,"title":912,"description":913},{"url":13},"NVIDIA Research — Neuronska kompresija materijalnih tekstura sa slučajnim pristupom","Primarni istraživački izvor za neuronsku kompresiju materijalnih tekstura.",{},{"id":916,"data":917,"type":936,"tunes":937},"faq-0073",{"items":918,"title":935},[919,923,927,931],{"id":920,"answer":921,"question":922},"faq1","Ne po pravilu. HBM i GDDR služe različitim proizvodnim i cenovnim ciljevima. Trenutna relevantnost HBM-a za gejmere je uglavnom ekonomska i arhitektonska.","Da li HBM zamenjuje GDDR u gejming GPU-ovima?",{"id":924,"answer":925,"question":926},"faq2","Ne. Pomaže kada je uzrok pritisak na rezidentnost\u002Fkapacitet. Kompilacija šejdera, CPU zastoji, skladište, mreža i tempo kadrova mogu izazvati zastajkivanje bez nedostatka VRAM kapaciteta.","Da li više VRAM-a uvek smanjuje zastajkivanje?",{"id":928,"answer":929,"question":930},"faq3","Ne fizički takt ili sirovi propusni opseg. Može smanjiti količinu podataka koja mora biti uskladištena ili preneta za ciljni rezultat.","Da li kompresija povećava brzinu memorije?",{"id":932,"answer":933,"question":934},"faq4","Zato što dobavljači dodeljuju procesne kapacitete i proizvodni miks između serverskog, AI, PC, grafičkog i potrošačkog tržišta. Jača serverska potražnja može stisnuti segmente nižeg prioriteta.","Zašto je AI važan za cene GDDR-a?","Memorija za igre i AI potražnja","faq",{},{"id":939,"data":940,"type":960,"tunes":961},"gloss-0074",{"title":941,"entries":942},"Memorijski termini koje ne treba mešati",[943,947,950,953,955,957],{"term":944,"anchor":945,"definition":946},"VRAM kapacitet","vram","Količina grafički adresabilne memorije dostupne diskretnom GPU-u ili grafičkom podsistemu.",{"term":948,"anchor":771,"definition":949},"Propusni opseg","Količina podataka koja može biti preneta u jedinici vremena, obično izražena u GB\u002Fs.",{"term":951,"anchor":792,"definition":952},"Rezidentnost","Koji resursi se u datom trenutku drže u brzoj memoriji dostupnoj GPU-u.",{"term":644,"anchor":643,"definition":954},"High Bandwidth Memory, tehnologija slojevite memorije optimizovana za veoma visok propusni opseg i mnogo korišćena u akceleratorima.",{"term":647,"anchor":646,"definition":956},"Grafički orijentisana memorija sa dvostrukom brzinom prenosa podataka koju obično koriste diskretni GPU-ovi.",{"term":779,"anchor":958,"definition":959},"effective-capacity","Korisni otisak podataka koji sistem može da podrži nakon izbora reprezentacije i kompresije; nije zamena za fizički kapacitet.","glossary",{},"2.31","Memorijski problem koji stoji iza modernog gejminga više se ne svodi samo na to koliko gigabajta je potrebno grafičkoj kartici. AI infrastruktura menja to koje memorijske proizvode dobavljači stavljaju u prvi plan i koliko potrošači mogu da priušte.","\u002Fuploads\u002F2026\u002F10\u002Fwhy-ai-is-reshaping-gaming-memory-hbm-gddr-vram-and-the-fight-for-capacity-1792335495408-ymehaw.webp","why-ai-is-reshaping-gaming-memory-hbm-gddr-vram-and-the-fight-for-capacity-1792335495408-ymehaw","PUBLISHED","2026-10-18T10:56:00.000Z","2026-10-18T14:56:46.777Z","2026-10-18T15:01:57.461Z",{"en":971,"de":972,"sr":973,"es":974,"fr":975,"it":976,"ru":977,"zh":978},"\u002Fblog\u002Fwhy-ai-is-reshaping-gaming-memory-hbm-gddr-vram-and-the-fight-for-capacity","\u002Fde\u002Fblog\u002Fwhy-ai-is-reshaping-gaming-memory-hbm-gddr-vram-and-the-fight-for-capacity","\u002Fsr\u002Fblog\u002Fwhy-ai-is-reshaping-gaming-memory-hbm-gddr-vram-and-the-fight-for-capacity","\u002Fes\u002Fblog\u002Fwhy-ai-is-reshaping-gaming-memory-hbm-gddr-vram-and-the-fight-for-capacity","\u002Ffr\u002Fblog\u002Fwhy-ai-is-reshaping-gaming-memory-hbm-gddr-vram-and-the-fight-for-capacity","\u002Fit\u002Fblog\u002Fwhy-ai-is-reshaping-gaming-memory-hbm-gddr-vram-and-the-fight-for-capacity","\u002Fru\u002Fblog\u002Fwhy-ai-is-reshaping-gaming-memory-hbm-gddr-vram-and-the-fight-for-capacity","\u002Fzh\u002Fblog\u002Fwhy-ai-is-reshaping-gaming-memory-hbm-gddr-vram-and-the-fight-for-capacity",[980,984],{"id":981,"name":982,"slug":983},144,"Технологија","tech",{"id":985,"name":986,"slug":987},170,"Технолошке вести","tech-news",{"id":283,"login":989,"email":13,"displayName":990},"aleksandar","Aleksandar Stajic",[992,1332],{"lang":8,"title":993,"content":994,"contentJson":995,"excerpt":1331}," Why AI Is Reshaping Gaming Memory: HBM, GDDR, VRAM and the Fight for Capacity","{\"time\":1792335496295,\"blocks\":[{\"id\":\"p-0045\",\"type\":\"paragraph\",\"data\":{\"text\":\"A modern gaming PC can have enough GPU compute and still be constrained by memory capacity, bandwidth, residency or price. In 2026, those technical questions are colliding with a market problem: memory suppliers are increasingly serving AI and server buyers whose demand reaches far beyond gaming VRAM.\"},\"tunes\":{}},{\"id\":\"c-0046\",\"type\":\"callout\",\"data\":{\"variant\":\"info\",\"title\":\"Direct answer\",\"body\":\"\u003Cstrong>AI is reshaping gaming memory primarily through allocation and economics, not because HBM is literally replacing every stick of PC RAM or every GDDR chip.\u003C\u002Fstrong> Suppliers are prioritizing server and HBM products, consumer segments are absorbing higher costs, and graphics memory supply is constrained. For gamers, that makes efficient memory use more strategically important.\"},\"tunes\":{}},{\"id\":\"c-0047\",\"type\":\"callout\",\"data\":{\"variant\":\"note\",\"title\":\"Do not collapse these terms\",\"body\":\"HBM, GDDR, DDR\u002FLPDDR, VRAM capacity, bandwidth and memory compression solve different problems. A high HBM price does not automatically tell you the price of a specific graphics card, and more VRAM does not automatically mean more bandwidth.\"},\"tunes\":{}},{\"id\":\"toc-0048\",\"type\":\"tableOfContents\",\"data\":{\"title\":\"Contents\",\"minLevel\":2,\"maxLevel\":3},\"tunes\":{}},{\"id\":\"h-0049\",\"type\":\"header\",\"data\":{\"text\":\"The market signal: server demand is getting priority\",\"level\":2},\"tunes\":{}},{\"id\":\"p-0050\",\"type\":\"paragraph\",\"data\":{\"text\":\"TrendForce reported in March 2026 that DRAM suppliers were reallocating capacity toward HBM and server applications and that graphics DRAM supply remained constrained by limited GDDR allocation. By Q3 it said consumer customers were reaching affordability limits even as AI and server demand remained strong. On September 30, 2026, TrendForce still described suppliers as prioritizing advanced-process capacity for high-performance server products and projected another 10–15% QoQ rise in conventional DRAM contract prices for Q4. The important point is persistence: the pressure is visible late in 2026, not only in an early-year shortage snapshot.\"},\"tunes\":{}},{\"id\":\"t-0051\",\"type\":\"table\",\"data\":{\"withHeadings\":true,\"stretched\":false,\"content\":[[\"Signal\",\"Reported 2026 condition\",\"Gaming consequence\"],[\"Conventional DRAM pricing\",\"58–63% QoQ forecast for Q2\",\"Raises system-memory cost pressure across PCs\"],[\"Graphics DRAM\",\"Limited GDDR allocation\",\"Constrains the memory pool used by gaming GPUs\"],[\"Server\u002FAI memory\",\"Suppliers prioritize high-value server products\",\"Consumer products compete against stronger demand\"],[\"Consumer affordability\",\"TrendForce says PC\u002Fsmartphone buyers reached limits by Q3\",\"Vendors cannot pass through infinite memory cost without losing volume\"],[\"Late-2026 capacity allocation\",\"Advanced-process capacity still prioritized for high-performance servers; conventional DRAM +10–15% QoQ projected for Q4\",\"Shows that the structural allocation pressure had not disappeared by September 2026\"]]},\"tunes\":{}},{\"id\":\"h-0052\",\"type\":\"header\",\"data\":{\"text\":\"HBM and GDDR are not interchangeable\",\"level\":2},\"tunes\":{}},{\"id\":\"cmp-0053\",\"type\":\"comparison\",\"data\":{\"title\":\"Different memory jobs\",\"layout\":\"table\",\"columns\":[{\"id\":\"hbm\",\"label\":\"HBM\"},{\"id\":\"gddr\",\"label\":\"GDDR\"},{\"id\":\"ddr\",\"label\":\"DDR\u002FLPDDR\"}],\"rows\":[{\"id\":\"where\",\"label\":\"Typical placement\",\"values\":{\"hbm\":\"AI\u002FHPC accelerators and some specialized compute\",\"gddr\":\"Discrete graphics cards and consoles depending on design\",\"ddr\":\"System memory; LPDDR also used in integrated\u002Funified designs\"}},{\"id\":\"strength\",\"label\":\"Primary strength\",\"values\":{\"hbm\":\"Very high aggregate bandwidth near large accelerators\",\"gddr\":\"High graphics bandwidth with discrete GPU economics\",\"ddr\":\"Cost\u002Fcapacity\u002Fflexibility for general system memory\"}},{\"id\":\"gaming\",\"label\":\"Gaming relevance\",\"values\":{\"hbm\":\"Indirect today through market competition and architecture lessons\",\"gddr\":\"Direct VRAM path for discrete gaming GPUs\",\"ddr\":\"CPU\u002Fsystem working set; unified designs may share it with graphics\"}}]},\"tunes\":{}},{\"id\":\"p-0054\",\"type\":\"paragraph\",\"data\":{\"text\":\"The important market connection is therefore not 'AI uses HBM, so games lose HBM.' It is that suppliers optimize fabs, advanced nodes, packaging, engineering and product mix across a portfolio. When server and AI products command strong demand, the opportunity cost of serving low-margin consumer segments rises.\"},\"tunes\":{}},{\"id\":\"h-0055\",\"type\":\"header\",\"data\":{\"text\":\"Why VRAM capacity alone is a weak metric\",\"level\":2},\"tunes\":{}},{\"id\":\"p-0056\",\"type\":\"paragraph\",\"data\":{\"text\":\"A 16 GB card is not automatically safer than a 12 GB card in every game, and a full VRAM meter is not proof that the game requires every allocated byte. The useful distinction is between allocation, working set, residency pressure and bandwidth. Capacity tells you what can fit. Bandwidth tells you how quickly data can move. Residency policy tells you what is actually kept close to the GPU.\"},\"tunes\":{}},{\"id\":\"ref-0057\",\"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\":\"Separate allocated memory, working set and residency pressure before deciding that a game has exceeded the card.\",\"ctaLabel\":\"Read the VRAM guide\"},\"tunes\":{}},{\"id\":\"flow-0058\",\"type\":\"processFlow\",\"data\":{\"title\":\"The gaming memory pressure chain\",\"orientation\":\"auto\",\"steps\":[{\"label\":\"1. Assets grow\",\"description\":\"Higher-detail textures, geometry and ray-tracing data increase working-set pressure.\"},{\"label\":\"2. Models enter graphics\",\"description\":\"Neural rendering adds weights and intermediate data to the memory picture.\"},{\"label\":\"3. AI infrastructure raises external demand\",\"description\":\"Server memory, HBM and enterprise storage consume supplier attention and capacity.\"},{\"label\":\"4. Product designers trade off capacity and price\",\"description\":\"More memory can raise board cost or force compromises elsewhere.\"},{\"label\":\"5. Engines compensate\",\"description\":\"Streaming, compression, reconstruction and better residency management become more valuable.\"}]},\"tunes\":{}},{\"id\":\"h-0059\",\"type\":\"header\",\"data\":{\"text\":\"Compression changes effective capacity, not the DRAM clock\",\"level\":2},\"tunes\":{}},{\"id\":\"p-0060\",\"type\":\"paragraph\",\"data\":{\"text\":\"This distinction matters because neural compression is often described too loosely. NVIDIA's neural texture compression research demonstrated 16× more texels than a low-resolution BC High comparison at a similar storage budget while using 30% less memory in the illustrated setup. That does not make GDDR physically faster. It changes how much useful visual information can be represented inside a given storage and memory budget. The broader design lesson is that compute can substitute for part of a storage or memory budget when the reconstruction cost is lower than the bytes avoided.\"},\"tunes\":{}},{\"id\":\"c-0061\",\"type\":\"callout\",\"data\":{\"variant\":\"success\",\"title\":\"Think in effective work, not fake GHz\",\"body\":\"A memory subsystem can improve the result without changing its headline clock or raw GB\u002Fs. If compression or compact neural representations reduce bytes, residency keeps the useful working set in place, or prefetch hides a demand miss, \u003Cstrong>effective work per transferred byte can improve while the physical DRAM speed stays the same\u003C\u002Fstrong>. The gain is workload-dependent and can cost decompression, inference, prediction or cache space.\"},\"tunes\":{}},{\"id\":\"v3-buddy\",\"type\":\"callout\",\"data\":{\"variant\":\"info\",\"title\":\"Compression evidence with the right wording\",\"body\":\"Buddy Compression reported 2.2× average compression on HPC workloads and 1.5× on deep-learning workloads in its evaluation. The correct interpretation is \u003Cstrong>more effective capacity and potentially less traffic for compressible data\u003C\u002Fstrong>, not “RAM runs 1.5× faster.”\"},\"tunes\":{}},{\"id\":\"v3-460\",\"type\":\"callout\",\"data\":{\"variant\":\"warning\",\"title\":\"Do not quote 460× as compression\",\"body\":\"The 460× figure discussed in some NVIDIA system comparisons is a GPU-accessible memory-capacity comparison across DGX generations, not a compression ratio. Treating it as “460× faster RAM” or “460× compression” would be wrong.\"},\"tunes\":{}},{\"id\":\"h-0062\",\"type\":\"header\",\"data\":{\"text\":\"The buyer question is changing\",\"level\":2},\"tunes\":{}},{\"id\":\"flow-0063\",\"type\":\"processFlow\",\"data\":{\"title\":\"A better memory buying sequence\",\"orientation\":\"auto\",\"steps\":[{\"label\":\"1. Define the actual games and resolution\",\"description\":\"A 4K texture-heavy open world and a competitive 1080p game stress memory differently.\"},{\"label\":\"2. Check working-set evidence\",\"description\":\"Look for consistent stutter, eviction or quality fallback, not just an allocated-memory number.\"},{\"label\":\"3. Separate capacity from bandwidth\",\"description\":\"More GB does not fix every bandwidth or latency bottleneck.\"},{\"label\":\"4. Check neural-feature support\",\"description\":\"Future efficiency may depend on whether the platform can run compression\u002Freconstruction workloads well.\"},{\"label\":\"5. Price the whole system\",\"description\":\"Expensive VRAM that prevents buying a stronger GPU or CPU can be a bad trade.\"},{\"label\":\"6. Buy for known constraints\",\"description\":\"Do not pay for speculative capacity with no plausible workload.\"}]},\"tunes\":{}},{\"id\":\"v3-memory-metrics\",\"type\":\"comparison\",\"data\":{\"title\":\"Five different “memory improvements” that should not be confused\",\"layout\":\"table\",\"columns\":[{\"id\":\"metric\",\"label\":\"Metric\"},{\"id\":\"improves\",\"label\":\"What improves\"},{\"id\":\"not\",\"label\":\"What does not automatically improve\"}],\"rows\":[{\"id\":\"capacity\",\"label\":\"Physical capacity\",\"values\":{\"metric\":\"GB\",\"improves\":\"How much data can be resident\",\"not\":\"Bandwidth or latency\"}},{\"id\":\"bandwidth\",\"label\":\"Raw bandwidth\",\"values\":{\"metric\":\"GB\u002Fs\",\"improves\":\"Maximum transfer rate\",\"not\":\"Prediction accuracy or working-set size\"}},{\"id\":\"compression\",\"label\":\"Effective capacity\",\"values\":{\"metric\":\"Compression ratio\",\"improves\":\"Bytes represented per physical byte\",\"not\":\"DRAM clock\"}},{\"id\":\"prefetch\",\"label\":\"Effective access latency\",\"values\":{\"metric\":\"Hit rate \u002F stall reduction\",\"improves\":\"Chance data is ready before demand\",\"not\":\"Physical bandwidth ceiling\"}},{\"id\":\"residency\",\"label\":\"Working-set stability\",\"values\":{\"metric\":\"Evictions \u002F migrations\",\"improves\":\"How consistently hot data stays available\",\"not\":\"Total installed memory\"}}]},\"tunes\":{}},{\"id\":\"h-0064\",\"type\":\"header\",\"data\":{\"text\":\"Figure Rocks hypothesis: memory becomes a compute problem\",\"level\":2},\"tunes\":{}},{\"id\":\"c-0065\",\"type\":\"callout\",\"data\":{\"variant\":\"note\",\"title\":\"Hypothesis\",\"body\":\"The next step is not simply 'more VRAM.' A future engine can treat memory as a system of \u003Cstrong>representation + prediction + residency + bandwidth + inference\u003C\u002Fstrong>. If a texture can be stored more compactly, if likely-needed data can be prefetched, and if some visual detail can be reconstructed, the engine can change how much physical memory and movement a scene requires.\"},\"tunes\":{}},{\"id\":\"cmp-0066\",\"type\":\"comparison\",\"data\":{\"title\":\"What more memory can and cannot solve\",\"layout\":\"table\",\"columns\":[{\"id\":\"can\",\"label\":\"Can help\"},{\"id\":\"cannot\",\"label\":\"Cannot guarantee\"}],\"rows\":[{\"id\":\"capacity\",\"label\":\"Larger scenes\u002Fassets can remain resident\",\"values\":{\"can\":\"Yes\",\"cannot\":\"No guarantee of higher bandwidth\"}},{\"id\":\"stutter\",\"label\":\"Reduce eviction pressure when capacity is the bottleneck\",\"values\":{\"can\":\"Yes\",\"cannot\":\"No guarantee against shader compilation or CPU stalls\"}},{\"id\":\"future\",\"label\":\"Provide headroom for larger working sets\u002Fmodels\",\"values\":{\"can\":\"Yes\",\"cannot\":\"No guarantee future engines will use that headroom efficiently\"}},{\"id\":\"quality\",\"label\":\"Avoid some texture-quality fallbacks\",\"values\":{\"can\":\"Yes\",\"cannot\":\"No guarantee better reconstruction or frame pacing\"}}]},\"tunes\":{}},{\"id\":\"h-0067\",\"type\":\"header\",\"data\":{\"text\":\"What would change this analysis?\",\"level\":2},\"tunes\":{}},{\"id\":\"p-0068\",\"type\":\"paragraph\",\"data\":{\"text\":\"The pressure would ease if suppliers add enough consumer-oriented capacity, if AI demand grows more slowly than expected, or if price competition forces product mixes back toward consumer markets. The technical argument also changes if neural compression and engine-level memory management fail to deliver enough real-time value.\"},\"tunes\":{}},{\"id\":\"h-0069\",\"type\":\"header\",\"data\":{\"text\":\"Primary sources\",\"level\":2},\"tunes\":{}},{\"id\":\"v3-src-trend-q4\",\"type\":\"linkTool\",\"data\":{\"link\":\"https:\u002F\u002Fwww.trendforce.com\u002Fpresscenter\u002Fnews\u002F20260930-13258.html\",\"meta\":{\"image\":{\"url\":\"\"},\"title\":\"TrendForce — 4Q26 memory outlook\",\"description\":\"Late-2026 evidence for server-priority capacity allocation and consumer pressure.\"}},\"tunes\":{}},{\"id\":\"src-0070\",\"type\":\"linkTool\",\"data\":{\"link\":\"https:\u002F\u002Fwww.trendforce.com\u002Fpresscenter\u002Fnews\u002F20260331-12995.html\",\"meta\":{\"image\":{\"url\":\"\"},\"title\":\"TrendForce — AI Server Demand and 2Q26 Memory Pricing\",\"description\":\"Evidence for HBM\u002Fserver prioritization, limited GDDR allocation and consumer pressure.\"}},\"tunes\":{}},{\"id\":\"v3-src-buddy2\",\"type\":\"linkTool\",\"data\":{\"link\":\"https:\u002F\u002Fresearch.nvidia.com\u002Fpublication\u002F2019-04_buddy-compression-enabling-larger-memory-deep-learning-and-hpc-workloads-gpus\",\"meta\":{\"image\":{\"url\":\"\"},\"title\":\"NVIDIA Research — Buddy Compression\",\"description\":\"Source for effective-memory compression results and slowdown.\"}},\"tunes\":{}},{\"id\":\"src-0071\",\"type\":\"linkTool\",\"data\":{\"link\":\"https:\u002F\u002Fwww.trendforce.com\u002Fpresscenter\u002Fnews\u002F20260907-13219.html\",\"meta\":{\"image\":{\"url\":\"\"},\"title\":\"TrendForce — DRAM Revenue and Supply Allocation, 2Q26\",\"description\":\"September 2026 report showing supply expansion lagging demand and additional supply prioritized for servers.\"}},\"tunes\":{}},{\"id\":\"src-0072\",\"type\":\"linkTool\",\"data\":{\"link\":\"https:\u002F\u002Fresearch.nvidia.com\u002Fpublication\u002F2023-08_random-access-neural-compression-material-textures\",\"meta\":{\"image\":{\"url\":\"\"},\"title\":\"NVIDIA Research — Random-Access Neural Compression of Material Textures\",\"description\":\"Primary research source for neural material-texture compression.\"}},\"tunes\":{}},{\"id\":\"faq-0073\",\"type\":\"faq\",\"data\":{\"title\":\"Gaming memory and AI demand\",\"items\":[{\"id\":\"faq1\",\"question\":\"Is HBM replacing GDDR in gaming GPUs?\",\"answer\":\"Not as a general rule. HBM and GDDR serve different product and cost targets. The current relevance of HBM to gamers is largely economic and architectural.\"},{\"id\":\"faq2\",\"question\":\"Does more VRAM always reduce stutter?\",\"answer\":\"No. It helps when residency\u002Fcapacity pressure is the cause. Shader compilation, CPU stalls, storage, networking and frame pacing can produce stutter without a VRAM-capacity shortage.\"},{\"id\":\"faq3\",\"question\":\"Does compression increase memory speed?\",\"answer\":\"Not the physical clock or raw bandwidth. It can reduce the amount of data that must be stored or transferred for a target result.\"},{\"id\":\"faq4\",\"question\":\"Why does AI matter to GDDR pricing?\",\"answer\":\"Because suppliers allocate process capacity and product mix across server, AI, PC, graphics and consumer markets. Stronger server demand can squeeze lower-priority segments.\"}]},\"tunes\":{}},{\"id\":\"gloss-0074\",\"type\":\"glossary\",\"data\":{\"title\":\"Memory terms that should not be confused\",\"entries\":[{\"term\":\"VRAM capacity\",\"definition\":\"The amount of graphics-addressable memory available to a discrete GPU or graphics subsystem.\",\"anchor\":\"vram\"},{\"term\":\"Bandwidth\",\"definition\":\"The amount of data that can be transferred per unit time, usually expressed in GB\u002Fs.\",\"anchor\":\"bandwidth\"},{\"term\":\"Residency\",\"definition\":\"Which resources are kept in fast GPU-accessible memory at a given moment.\",\"anchor\":\"residency\"},{\"term\":\"HBM\",\"definition\":\"High Bandwidth Memory, a stacked-memory technology optimized for very high bandwidth and used heavily in accelerators.\",\"anchor\":\"hbm\"},{\"term\":\"GDDR\",\"definition\":\"Graphics-oriented double data rate memory commonly used by discrete GPUs.\",\"anchor\":\"gddr\"},{\"term\":\"Effective capacity\",\"definition\":\"The useful data footprint a system can support after representation and compression choices; not a replacement for physical capacity.\",\"anchor\":\"effective-capacity\"}]},\"tunes\":{}}],\"version\":\"2.31.6\"}",{"time":996,"blocks":997,"version":1330},1792335496295,[998,1002,1007,1012,1016,1020,1024,1051,1055,1082,1086,1090,1094,1101,1121,1125,1129,1134,1139,1144,1148,1171,1211,1215,1220,1247,1251,1255,1259,1266,1273,1279,1286,1293,1310],{"id":541,"data":999,"type":544,"tunes":1001},{"text":1000},"A modern gaming PC can have enough GPU compute and still be constrained by memory capacity, bandwidth, residency or price. In 2026, those technical questions are colliding with a market problem: memory suppliers are increasingly serving AI and server buyers whose demand reaches far beyond gaming VRAM.",{},{"id":547,"data":1003,"type":552,"tunes":1006},{"body":1004,"title":1005,"variant":551},"\u003Cstrong>AI is reshaping gaming memory primarily through allocation and economics, not because HBM is literally replacing every stick of PC RAM or every GDDR chip.\u003C\u002Fstrong> Suppliers are prioritizing server and HBM products, consumer segments are absorbing higher costs, and graphics memory supply is constrained. For gamers, that makes efficient memory use more strategically important.","Direct answer",{},{"id":555,"data":1008,"type":552,"tunes":1011},{"body":1009,"title":1010,"variant":559},"HBM, GDDR, DDR\u002FLPDDR, VRAM capacity, bandwidth and memory compression solve different problems. A high HBM price does not automatically tell you the price of a specific graphics card, and more VRAM does not automatically mean more bandwidth.","Do not collapse these terms",{},{"id":562,"data":1013,"type":566,"tunes":1015},{"title":1014,"maxLevel":565,"minLevel":47},"Contents",{},{"id":569,"data":1017,"type":572,"tunes":1019},{"text":1018,"level":47},"The market signal: server demand is getting priority",{},{"id":575,"data":1021,"type":544,"tunes":1023},{"text":1022},"TrendForce reported in March 2026 that DRAM suppliers were reallocating capacity toward HBM and server applications and that graphics DRAM supply remained constrained by limited GDDR allocation. By Q3 it said consumer customers were reaching affordability limits even as AI and server demand remained strong. On September 30, 2026, TrendForce still described suppliers as prioritizing advanced-process capacity for high-performance server products and projected another 10–15% QoQ rise in conventional DRAM contract prices for Q4. The important point is persistence: the pressure is visible late in 2026, not only in an early-year shortage snapshot.",{},{"id":580,"data":1025,"type":608,"tunes":1050},{"content":1026,"stretched":607,"withHeadings":15},[1027,1030,1034,1038,1042,1046],[584,1028,1029],"Reported 2026 condition","Gaming consequence",[1031,1032,1033],"Conventional DRAM pricing","58–63% QoQ forecast for Q2","Raises system-memory cost pressure across PCs",[1035,1036,1037],"Graphics DRAM","Limited GDDR allocation","Constrains the memory pool used by gaming GPUs",[1039,1040,1041],"Server\u002FAI memory","Suppliers prioritize high-value server products","Consumer products compete against stronger demand",[1043,1044,1045],"Consumer affordability","TrendForce says PC\u002Fsmartphone buyers reached limits by Q3","Vendors cannot pass through infinite memory cost without losing volume",[1047,1048,1049],"Late-2026 capacity allocation","Advanced-process capacity still prioritized for high-performance servers; conventional DRAM +10–15% QoQ projected for Q4","Shows that the structural allocation pressure had not disappeared by September 2026",{},{"id":611,"data":1052,"type":572,"tunes":1054},{"text":1053,"level":47},"HBM and GDDR are not interchangeable",{},{"id":616,"data":1056,"type":651,"tunes":1081},{"rows":1057,"title":1076,"layout":608,"columns":1077},[1058,1064,1070],{"id":620,"label":1059,"values":1060},"Typical placement",{"ddr":1061,"hbm":1062,"gddr":1063},"System memory; LPDDR also used in integrated\u002Funified designs","AI\u002FHPC accelerators and some specialized compute","Discrete graphics cards and consoles depending on design",{"id":627,"label":1065,"values":1066},"Primary strength",{"ddr":1067,"hbm":1068,"gddr":1069},"Cost\u002Fcapacity\u002Fflexibility for general system memory","Very high aggregate bandwidth near large accelerators","High graphics bandwidth with discrete GPU economics",{"id":634,"label":1071,"values":1072},"Gaming relevance",{"ddr":1073,"hbm":1074,"gddr":1075},"CPU\u002Fsystem working set; unified designs may share it with graphics","Indirect today through market competition and architecture lessons","Direct VRAM path for discrete gaming GPUs","Different memory jobs",[1078,1079,1080],{"id":643,"label":644},{"id":646,"label":647},{"id":649,"label":650},{},{"id":654,"data":1083,"type":544,"tunes":1085},{"text":1084},"The important market connection is therefore not 'AI uses HBM, so games lose HBM.' It is that suppliers optimize fabs, advanced nodes, packaging, engineering and product mix across a portfolio. When server and AI products command strong demand, the opportunity cost of serving low-margin consumer segments rises.",{},{"id":659,"data":1087,"type":572,"tunes":1089},{"text":1088,"level":47},"Why VRAM capacity alone is a weak metric",{},{"id":664,"data":1091,"type":544,"tunes":1093},{"text":1092},"A 16 GB card is not automatically safer than a 12 GB card in every game, and a full VRAM meter is not proof that the game requires every allocated byte. The useful distinction is between allocation, working set, residency pressure and bandwidth. Capacity tells you what can fit. Bandwidth tells you how quickly data can move. Residency policy tells you what is actually kept close to the GPU.",{},{"id":669,"data":1095,"type":675,"tunes":1100},{"url":1096,"title":1097,"excerpt":1098,"ctaLabel":1099},"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","Separate allocated memory, working set and residency pressure before deciding that a game has exceeded the card.","Read the VRAM guide",{},{"id":678,"data":1102,"type":698,"tunes":1120},{"steps":1103,"title":1119,"orientation":697},[1104,1107,1110,1113,1116],{"label":1105,"description":1106},"1. Assets grow","Higher-detail textures, geometry and ray-tracing data increase working-set pressure.",{"label":1108,"description":1109},"2. Models enter graphics","Neural rendering adds weights and intermediate data to the memory picture.",{"label":1111,"description":1112},"3. AI infrastructure raises external demand","Server memory, HBM and enterprise storage consume supplier attention and capacity.",{"label":1114,"description":1115},"4. Product designers trade off capacity and price","More memory can raise board cost or force compromises elsewhere.",{"label":1117,"description":1118},"5. Engines compensate","Streaming, compression, reconstruction and better residency management become more valuable.","The gaming memory pressure chain",{},{"id":701,"data":1122,"type":572,"tunes":1124},{"text":1123,"level":47},"Compression changes effective capacity, not the DRAM clock",{},{"id":706,"data":1126,"type":544,"tunes":1128},{"text":1127},"This distinction matters because neural compression is often described too loosely. NVIDIA's neural texture compression research demonstrated 16× more texels than a low-resolution BC High comparison at a similar storage budget while using 30% less memory in the illustrated setup. That does not make GDDR physically faster. It changes how much useful visual information can be represented inside a given storage and memory budget. The broader design lesson is that compute can substitute for part of a storage or memory budget when the reconstruction cost is lower than the bytes avoided.",{},{"id":711,"data":1130,"type":552,"tunes":1133},{"body":1131,"title":1132,"variant":715},"A memory subsystem can improve the result without changing its headline clock or raw GB\u002Fs. If compression or compact neural representations reduce bytes, residency keeps the useful working set in place, or prefetch hides a demand miss, \u003Cstrong>effective work per transferred byte can improve while the physical DRAM speed stays the same\u003C\u002Fstrong>. The gain is workload-dependent and can cost decompression, inference, prediction or cache space.","Think in effective work, not fake GHz",{},{"id":718,"data":1135,"type":552,"tunes":1138},{"body":1136,"title":1137,"variant":551},"Buddy Compression reported 2.2× average compression on HPC workloads and 1.5× on deep-learning workloads in its evaluation. The correct interpretation is \u003Cstrong>more effective capacity and potentially less traffic for compressible data\u003C\u002Fstrong>, not “RAM runs 1.5× faster.”","Compression evidence with the right wording",{},{"id":724,"data":1140,"type":552,"tunes":1143},{"body":1141,"title":1142,"variant":728},"The 460× figure discussed in some NVIDIA system comparisons is a GPU-accessible memory-capacity comparison across DGX generations, not a compression ratio. Treating it as “460× faster RAM” or “460× compression” would be wrong.","Do not quote 460× as compression",{},{"id":731,"data":1145,"type":572,"tunes":1147},{"text":1146,"level":47},"The buyer question is changing",{},{"id":736,"data":1149,"type":698,"tunes":1170},{"steps":1150,"title":1169,"orientation":697},[1151,1154,1157,1160,1163,1166],{"label":1152,"description":1153},"1. Define the actual games and resolution","A 4K texture-heavy open world and a competitive 1080p game stress memory differently.",{"label":1155,"description":1156},"2. Check working-set evidence","Look for consistent stutter, eviction or quality fallback, not just an allocated-memory number.",{"label":1158,"description":1159},"3. Separate capacity from bandwidth","More GB does not fix every bandwidth or latency bottleneck.",{"label":1161,"description":1162},"4. Check neural-feature support","Future efficiency may depend on whether the platform can run compression\u002Freconstruction workloads well.",{"label":1164,"description":1165},"5. Price the whole system","Expensive VRAM that prevents buying a stronger GPU or CPU can be a bad trade.",{"label":1167,"description":1168},"6. Buy for known constraints","Do not pay for speculative capacity with no plausible workload.","A better memory buying sequence",{},{"id":760,"data":1172,"type":651,"tunes":1210},{"rows":1173,"title":1202,"layout":608,"columns":1203},[1174,1179,1184,1190,1196],{"id":764,"label":1175,"values":1176},"Physical capacity",{"not":1177,"metric":768,"improves":1178},"Bandwidth or latency","How much data can be resident",{"id":771,"label":1180,"values":1181},"Raw bandwidth",{"not":1182,"metric":775,"improves":1183},"Prediction accuracy or working-set size","Maximum transfer rate",{"id":778,"label":1185,"values":1186},"Effective capacity",{"not":1187,"metric":1188,"improves":1189},"DRAM clock","Compression ratio","Bytes represented per physical byte",{"id":785,"label":1191,"values":1192},"Effective access latency",{"not":1193,"metric":1194,"improves":1195},"Physical bandwidth ceiling","Hit rate \u002F stall reduction","Chance data is ready before demand",{"id":792,"label":1197,"values":1198},"Working-set stability",{"not":1199,"metric":1200,"improves":1201},"Total installed memory","Evictions \u002F migrations","How consistently hot data stays available","Five different “memory improvements” that should not be confused",[1204,1206,1208],{"id":801,"label":1205},"Metric",{"id":804,"label":1207},"What improves",{"id":807,"label":1209},"What does not automatically improve",{},{"id":811,"data":1212,"type":572,"tunes":1214},{"text":1213,"level":47},"Figure Rocks hypothesis: memory becomes a compute problem",{},{"id":816,"data":1216,"type":552,"tunes":1219},{"body":1217,"title":1218,"variant":559},"The next step is not simply 'more VRAM.' A future engine can treat memory as a system of \u003Cstrong>representation + prediction + residency + bandwidth + inference\u003C\u002Fstrong>. If a texture can be stored more compactly, if likely-needed data can be prefetched, and if some visual detail can be reconstructed, the engine can change how much physical memory and movement a scene requires.","Hypothesis",{},{"id":822,"data":1221,"type":651,"tunes":1246},{"rows":1222,"title":1240,"layout":608,"columns":1241},[1223,1228,1232,1236],{"id":764,"label":1224,"values":1225},"Larger scenes\u002Fassets can remain resident",{"can":1226,"cannot":1227},"Yes","No guarantee of higher bandwidth",{"id":831,"label":1229,"values":1230},"Reduce eviction pressure when capacity is the bottleneck",{"can":1226,"cannot":1231},"No guarantee against shader compilation or CPU stalls",{"id":836,"label":1233,"values":1234},"Provide headroom for larger working sets\u002Fmodels",{"can":1226,"cannot":1235},"No guarantee future engines will use that headroom efficiently",{"id":841,"label":1237,"values":1238},"Avoid some texture-quality fallbacks",{"can":1226,"cannot":1239},"No guarantee better reconstruction or frame pacing","What more memory can and cannot solve",[1242,1244],{"id":848,"label":1243},"Can help",{"id":851,"label":1245},"Cannot guarantee",{},{"id":855,"data":1248,"type":572,"tunes":1250},{"text":1249,"level":47},"What would change this analysis?",{},{"id":860,"data":1252,"type":544,"tunes":1254},{"text":1253},"The pressure would ease if suppliers add enough consumer-oriented capacity, if AI demand grows more slowly than expected, or if price competition forces product mixes back toward consumer markets. The technical argument also changes if neural compression and engine-level memory management fail to deliver enough real-time value.",{},{"id":865,"data":1256,"type":572,"tunes":1258},{"text":1257,"level":47},"Primary sources",{},{"id":870,"data":1260,"type":877,"tunes":1265},{"link":872,"meta":1261},{"image":1262,"title":1263,"description":1264},{"url":13},"TrendForce — 4Q26 memory outlook","Late-2026 evidence for server-priority capacity allocation and consumer pressure.",{},{"id":880,"data":1267,"type":877,"tunes":1272},{"link":882,"meta":1268},{"image":1269,"title":1270,"description":1271},{"url":13},"TrendForce — AI Server Demand and 2Q26 Memory Pricing","Evidence for HBM\u002Fserver prioritization, limited GDDR allocation and consumer pressure.",{},{"id":889,"data":1274,"type":877,"tunes":1278},{"link":891,"meta":1275},{"image":1276,"title":894,"description":1277},{"url":13},"Source for effective-memory compression results and slowdown.",{},{"id":898,"data":1280,"type":877,"tunes":1285},{"link":900,"meta":1281},{"image":1282,"title":1283,"description":1284},{"url":13},"TrendForce — DRAM Revenue and Supply Allocation, 2Q26","September 2026 report showing supply expansion lagging demand and additional supply prioritized for servers.",{},{"id":907,"data":1287,"type":877,"tunes":1292},{"link":909,"meta":1288},{"image":1289,"title":1290,"description":1291},{"url":13},"NVIDIA Research — Random-Access Neural Compression of Material Textures","Primary research source for neural material-texture compression.",{},{"id":916,"data":1294,"type":936,"tunes":1309},{"items":1295,"title":1308},[1296,1299,1302,1305],{"id":920,"answer":1297,"question":1298},"Not as a general rule. HBM and GDDR serve different product and cost targets. The current relevance of HBM to gamers is largely economic and architectural.","Is HBM replacing GDDR in gaming GPUs?",{"id":924,"answer":1300,"question":1301},"No. It helps when residency\u002Fcapacity pressure is the cause. Shader compilation, CPU stalls, storage, networking and frame pacing can produce stutter without a VRAM-capacity shortage.","Does more VRAM always reduce stutter?",{"id":928,"answer":1303,"question":1304},"Not the physical clock or raw bandwidth. It can reduce the amount of data that must be stored or transferred for a target result.","Does compression increase memory speed?",{"id":932,"answer":1306,"question":1307},"Because suppliers allocate process capacity and product mix across server, AI, PC, graphics and consumer markets. Stronger server demand can squeeze lower-priority segments.","Why does AI matter to GDDR pricing?","Gaming memory and AI demand",{},{"id":939,"data":1311,"type":960,"tunes":1329},{"title":1312,"entries":1313},"Memory terms that should not be confused",[1314,1317,1320,1323,1325,1327],{"term":1315,"anchor":945,"definition":1316},"VRAM capacity","The amount of graphics-addressable memory available to a discrete GPU or graphics subsystem.",{"term":1318,"anchor":771,"definition":1319},"Bandwidth","The amount of data that can be transferred per unit time, usually expressed in GB\u002Fs.",{"term":1321,"anchor":792,"definition":1322},"Residency","Which resources are kept in fast GPU-accessible memory at a given moment.",{"term":644,"anchor":643,"definition":1324},"High Bandwidth Memory, a stacked-memory technology optimized for very high bandwidth and used heavily in accelerators.",{"term":647,"anchor":646,"definition":1326},"Graphics-oriented double data rate memory commonly used by discrete GPUs.",{"term":1185,"anchor":958,"definition":1328},"The useful data footprint a system can support after representation and compression choices; not a replacement for physical capacity.",{},"2.31.6","The memory problem behind modern gaming is no longer only about how many gigabytes a GPU needs. AI infrastructure is changing which memory products suppliers prioritize and how much consumer buyers can 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Ovaj članak objašnjava kako AI otkrivanje, XR prateći slojevi, mediji koje pokreće Gemini i brža vidljivost likova mogu oblikovati igre, figure, kolekcionarske predmete i buduće ekosisteme fanova.","\u002Fuploads\u002F2026\u002F05\u002Fgoogle-io-2026-gaming-ai-xr-and-the-next-wave-of-collectibles-1779257974958-jjj07f.webp","2026-05-20T00:17:00.000Z",{"id":1531,"slug":1532,"title":1533,"excerpt":1534,"featuredImage":1535,"publishedAt":1536},"455","what-if-a-game-could-predict-its-next-memory-access-ai-prefetching-and-the-future-of-stutter","Šta ako bi igra mogla da predvidi svoj sledeći pristup memoriji? AI prefetching i budućnost seckanja","Gejm endžini već znaju kuda idu igrač, kamera i svet. Istraživanja pokazuju da naučeno GPU prefetčovanje može da predvidi memorijske stranice. 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Neuralna grafika, prediktivna memorija i gejming agenti dodaju treću odgovornost: odlučivanje gde inferencija pripada unutar frejma i stanja igre.","\u002Fuploads\u002F2026\u002F10\u002Fthe-game-engine-is-becoming-part-renderer-part-scheduler-part-ai-system-1792340569647-63jv23.webp","2026-10-18T12:21:00.000Z",{"id":1552,"slug":1553,"title":1554,"excerpt":14,"featuredImage":1555,"publishedAt":1556},"456","what-would-a-spark-like-gaming-pc-actually-change-unified-memory-ai-compute-and-the-classic-gpu-split","Šta bi gejming PC nalik Sparku zapravo promenio? Objedinjena memorija, AI računanje i klasična podela GPU-a","\u002Fuploads\u002F2026\u002F10\u002Fwhat-would-a-spark-like-gaming-pc-actually-change-unified-memory-ai-compute-and-the-classic-gpu-split-1792340021752-bia7n6.webp","2026-10-18T12:12:00.000Z",{"id":1558,"slug":1559,"title":1560,"excerpt":1561,"featuredImage":1562,"publishedAt":1563},"457","what-does-future-proof-gaming-hardware-mean-in-the-neural-rendering-era","Šta znači „budućnosti otporn“ hardver za igre u eri neuronskog renderovanja?","Future-proofing je nekada značio kupovinu više CPU, GPU i VRAM-a nego što vam je danas potrebno. Neural rendering čini to pravilo manje pouzdanim. Evo boljeg okvira za odlučivanje.","\u002Fuploads\u002F2026\u002F10\u002Fwhat-does-future-proof-gaming-hardware-mean-in-the-neural-rendering-era-1792340303825-012uhb.webp","2026-10-18T12:16:00.000Z","fallback",[],[]]