{"id":17357,"date":"2026-03-16T22:23:05","date_gmt":"2026-03-16T21:23:05","guid":{"rendered":"https:\/\/pcdoorz.com\/?post_type=pcd-post&p=17357"},"modified":"2026-06-05T12:34:44","modified_gmt":"2026-06-05T10:34:44","slug":"nvidia-dlss-5-announced","status":"publish","type":"pcd-post","link":"https:\/\/pcdoorz.com\/bs\/pcd-posts\/nvidia-dlss-5-announced\/","title":{"rendered":"Nvidia DLSS 5 | Najavljeno"},"content":{"rendered":"

DLSS 5 ZVANI\u010cNO |<\/span> NVIDIA PRIPREMA SLJEDE\u0106U GENERACIJU IGARSKIH GRAFIKA\u00a0<\/strong><\/p>\n

NVIDIA je zvani\u010dno otkrila sljede\u0107i korak u svojoj grafi\u010dkoj tehnologiji zasnovanoj na vje\u0161ta\u010dkoj inteligenciji najavom... DLSS 5<\/em>, novu generaciju Deep Learning Super Samplinga koja ima za cilj da jo\u0161 vi\u0161e podigne renderiranje igara u realnom vremenu. Dok su se prethodne verzije DLSS-a prvenstveno fokusirale na performanse i generiranje frejmova, DLSS 5 se \u010dini da prelazi na ambicioznije podru\u010dje: kori\u0161tenje tehnika neuronskog renderiranja za pobolj\u0161anje vizualnog kvaliteta cijelih scena. Tehnologija je predstavljena tokom nedavne prezentacije za programere kompanije NVIDIA, gdje je kompanija opisala DLSS 5 kao glavnu evoluciju svog AI grafi\u010dkog cjevovoda. Prema NVIDIA-i, novi sistem se oslanja na naprednije neuronske mre\u017ee koje mogu pomo\u0107i samom procesu renderiranja, a ne samo rekonstruirati frejmove iz slika ni\u017ee rezolucije. Drugim rije\u010dima, AI vi\u0161e ne samo popunjava piksele \u2013 ve\u0107 poma\u017ee u generiranju dijelova scene.<\/p>\n

\"\"<\/p>\n

Za igra\u010de koji su ve\u0107 upoznati s DLSS ekosistemom, ideja mo\u017ee zvu\u010dati kao prirodan napredak. DLSS je prvobitno zapo\u010deo kao tehnologija za pobolj\u0161anje performansi dizajnirana za pove\u0107anje rezolucije kadrova ni\u017ee rezolucije uz odr\u017eavanje kvalitete slike. Vremenom se zna\u010dajno razvio, uvode\u0107i pobolj\u0161anja kao \u0161to su Mnogo bolji algoritmi za rekonstrukciju u DLSS 2, DLSS <\/em>Trojke <\/strong>generiranje okvira<\/em>, i kasnija pobolj\u0161anja koja su pomogla u stabilizaciji kretanja i smanjenju artefakata u scenama koje se brzo kre\u0107u. \u010cini se da DLSS 5 ide korak dalje od tih postepenih nadogradnji. NVIDIA opisuje novi sistem kao dio \u0161ireg poteza ka Renderiranje uz pomo\u0107 umjetne inteligencije<\/em>, gdje neuronske mre\u017ee rade uz tradicionalne tehnike rasterizacije i pra\u0107enja zraka. Cilj je generirati realisti\u010dnije osvjetljenje, materijale i detalje scene bez potrebe da GPU izra\u010dunava svaki pojedina\u010dni element putem konvencionalnih cjevovoda za renderiranje. U prakti\u010dnom smislu, ovo bi moglo omogu\u0107iti programerima igara da postignu vizualnu vjernost koja bi ina\u010de bila preskupo za renderiranje u stvarnom vremenu. Dopu\u0161taju\u0107i umjetnoj inteligenciji da obra\u0111uje odre\u0111ene dijelove procesa generiranja slike, GPU-ovi mogu posvetiti vi\u0161e svoje sirove procesorske snage drugim aspektima scene.<\/p>\n

NVIDIA je tako\u0111er naglasila da je tehnologija dizajnirana za integraciju s modernim grafi\u010dkim tehnikama koje se ve\u0107 koriste u dana\u0161njim igrama. O\u010dekuje se da \u0107e DLSS 5 raditi zajedno s pra\u0107enjem zraka i drugim naprednim sistemima osvjetljenja, potencijalno poma\u017eu\u0107i programerima da kreiraju jo\u0161 slo\u017eenije scene bez \u017ertvovanja performansi. Jo\u0161 jedan zanimljiv detalj iz najave je nivo podr\u0161ke industrije za koji NVIDIA tvrdi da ga je ve\u0107 osigurala. Navodno nekoliko velikih izdava\u010da i studija istra\u017euje ili se priprema za usvajanje tehnologije, uklju\u010duju\u0107i kompanije kao \u0161to su Bethesda, Ubisoft, CAPCOM,<\/em> Igre kompanija Tencent i Warner Bros.<\/em>. Iako je jo\u0161 uvijek rano, lista sugerira da bi se DLSS 5 mogao pojaviti u nadolaze\u0107im AAA naslovima kada tehnologija postane \u0161iroko dostupna.<\/p>\n

DLSS ekosistem je brzo rastao u posljednjih nekoliko godina. Prema NVIDIA-i, stotine igara i aplikacija sada podr\u017eavaju neki oblik DLSS tehnologije, \u0161to je \u010dini jednim od naj\u0161ire prihva\u0107enih AI grafi\u010dkih rje\u0161enja u industriji. To \u0161irenje usvajanja bio je glavni faktor uspjeha tehnologije, jer se programeri sve vi\u0161e oslanjaju na nju kako bi uravnote\u017eili vizualni kvalitet s performansama na modernim GPU-ima. Ostaje da se vidi kako \u0107e ta\u010dno DLSS 5 biti implementiran u isporu\u010dene igre. NVIDIA jo\u0161 nije podijelila detaljna pore\u0111enja performansi ili demonstracije igara iz stvarnog svijeta koje pokazuju da tehnologija radi u gotovom naslovu. Kao i kod prethodnih DLSS izdanja, ti detalji \u0107e se vjerovatno pojaviti kada programeri po\u010dnu integrirati sistem u nadolaze\u0107e gejming engine-ove.<\/p>\n

Me\u0111utim, ono \u0161to je jasno jeste da NVIDIA vidi DLSS kao vi\u0161e od pukog pobolj\u0161anja performansi. Kompanija ga sve vi\u0161e shvata kao centralnu komponentu budu\u0107eg grafi\u010dkog procesa, gdje vje\u0161ta\u010dka inteligencija (AI) radi zajedno s tradicionalnim tehnikama renderiranja kako bi proizvela slike \u010dije bi generiranje ina\u010de bilo previ\u0161e ra\u010dunalno skupo. Ako tehnologija ispuni svoja obe\u0107anja, DLSS 5 bi mogao predstavljati jo\u0161 jednu veliku promjenu u na\u010dinu na koji se igre renderiraju u stvarnom vremenu. Otvoreno je pitanje ho\u0107e li igra\u010di odmah primijetiti razliku ili tek postepeno, kako novi naslovi budu usvajali sistem, ali jedno je sigurno: NVIDIA-in napredak prema grafici vo\u0111enoj vje\u0161ta\u010dkom inteligencijom nastavlja se ubrzavati. O\u010dekuje se da \u0107e vi\u0161e tehni\u010dkih detalja o DLSS 5, uklju\u010duju\u0107i hardverske zahtjeve i podr\u017eane GPU-ove, biti otkriveno bli\u017ee njegovom slu\u017ebenom predstavljanju u budu\u0107im igrama.<\/p>","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center 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