{"id":188438,"date":"2025-05-20T07:58:43","date_gmt":"2025-05-20T05:58:43","guid":{"rendered":"https:\/\/rtvnp.rs\/?p=188438"},"modified":"2025-05-20T08:04:16","modified_gmt":"2025-05-20T06:04:16","slug":"nvidia-ima-najmocniji-gpu-video","status":"publish","type":"post","link":"https:\/\/arhiva.rtvnp.rs\/?p=188438","title":{"rendered":"Nvidia ima najmo\u0107niji GPU VIDEO"},"content":{"rendered":"<p>Tokom Computex 2025 doga\u0111aja Nvidia je predstavila svoj najnoviji GPU, namenjen kompleksnim AI zadacima.<\/p>\n<p>Nvidia je predstavila Blackwell Ultra \u2013 GPU koji je kreiran za AI rezonovanje velikog obima, agentski AI i napredne mehanizme zaklju\u010divanja.<\/p>\n<p>Blackwell Ultra pokre\u0107e GB300 NVL72 sistem, potpuno te\u010dno hla\u0111enu kompjutersku vitrinu u koju su sme\u0161tena 72 Blackwell Ultra GPU-a i 36 Nvidia Grace CPU-a.<\/p>\n<p>Nvidia ka\u017ee da ovaj sistem omogu\u0107ava 1,5 puta vi\u0161e performansi od svog prethodnika (GB200 NVL72), a pove\u0107ava Blackwell-ove mogu\u0107nosti zarade do 50 puta u ofnodu na one koji su kreirani uz Nvidia Hopper.<\/p>\n<p>Iz kompanije ka\u017eu da novi sistem ima 11 puta br\u017ei interfejs na velikim jezi\u010dkim modelima (LLM), sedam puta vi\u0161e procesiranja i \u010detiri puta ve\u0107u memoriju u odnosu na Hoper generaciju.<\/p>\n<p><iframe loading=\"lazy\" title=\"NVIDIA CEO Jensen Huang Keynote at COMPUTEX 2025\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/TLzna9__DnI?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<p>Blackwell Ultra proizvodi \u0107e biti dostupni od strane Nvidia partnera: Cisco, Dell Technologies, Hewlett-Packard Enterprise, Lenovo i Supermicro, po\u010dev\u0161i od druge polovine 2025 godine.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tokom Computex 2025 doga\u0111aja Nvidia je predstavila svoj najnoviji GPU, namenjen kompleksnim AI zadacima.<\/p>\n","protected":false},"author":1,"featured_media":188439,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-188438","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/arhiva.rtvnp.rs\/index.php?rest_route=\/wp\/v2\/posts\/188438","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/arhiva.rtvnp.rs\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/arhiva.rtvnp.rs\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/arhiva.rtvnp.rs\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/arhiva.rtvnp.rs\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=188438"}],"version-history":[{"count":0,"href":"https:\/\/arhiva.rtvnp.rs\/index.php?rest_route=\/wp\/v2\/posts\/188438\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/arhiva.rtvnp.rs\/index.php?rest_route=\/wp\/v2\/media\/188439"}],"wp:attachment":[{"href":"https:\/\/arhiva.rtvnp.rs\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=188438"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/arhiva.rtvnp.rs\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=188438"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/arhiva.rtvnp.rs\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=188438"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}