{"id":112457,"date":"2025-11-28T14:08:09","date_gmt":"2025-11-28T14:08:09","guid":{"rendered":"https:\/\/ekamu.net\/?p=112457"},"modified":"2025-11-28T14:08:09","modified_gmt":"2025-11-28T14:08:09","slug":"yapay-zeka-ciplerinde-yeni-donem-gpu-cekirdekleri-hbme-tasiniyor","status":"publish","type":"post","link":"https:\/\/ekamu.net\/index.php\/2025\/11\/28\/yapay-zeka-ciplerinde-yeni-donem-gpu-cekirdekleri-hbme-tasiniyor\/","title":{"rendered":"Yapay zek\u00e2 \u00e7iplerinde yeni d\u00f6nem: GPU \u00e7ekirdekleri HBM&#8217;e ta\u015f\u0131n\u0131yor"},"content":{"rendered":"<p><figure> <span> <img decoding=\"async\" src=\"https:\/\/ekamu.net\/wp-content\/uploads\/2025\/11\/yapay-zek-ciplerinde-yeni-donem-gpu-cekirdekleri-hbme-tasiniyor-0-TkGh1UUZ.jpg\"\/> <\/span> <strong>Nvidia<\/strong> ve <strong>Meta<\/strong>,\u00a0yapay zek\u00e2 h\u0131zland\u0131r\u0131c\u0131lar\u0131n\u0131n gelece\u011fine y\u00f6nelik yepyeni bir mimari planl\u0131yor. Her iki \u015firket, SK hynix ve Samsung ile birlikte GPU \u00e7ekirdeklerini do\u011frudan <strong>HBM bellek y\u0131\u011f\u0131n\u0131n\u0131n<\/strong> taban katman\u0131na entegre eden yeni nesil &#8220;custom HBM&#8221; mimarisi i\u00e7in haz\u0131rl\u0131klara ba\u015flad\u0131. Yeni mmari, hem performans hem de enerji verimlili\u011fi a\u00e7\u0131s\u0131ndan fark yaratabilir. <\/figure>\n<p><b>GPU \u00e7ekirdekleri HBM taban\u0131na ta\u015f\u0131n\u0131yor<\/b><\/p>\n<p>Ka\u00e7\u0131ranlar i\u00e7in mevcut yap\u0131larda HBM, GPU&#8217;dan gelen devasa veri y\u00fck\u00fcn\u00fc <strong>y\u00fcksek bant geni\u015fli\u011fiyle<\/strong> besliyor. Ancak GPU \u00e7ekirdeklerinin taban katmana ta\u015f\u0131nmas\u0131 durumunda, veri hareketinin <strong>\u00f6nemli bir k\u0131sm\u0131 bellek blo\u011funun i\u00e7inde ger\u00e7ekle\u015fecek<\/strong>. Bu durum gecikmeyi azalt\u0131rken, g\u00fc\u00e7 t\u00fcketimini de d\u00fc\u015f\u00fcrerek \u00f6zellikle b\u00fcy\u00fck dil modelleri ve yo\u011fun hesaplama gerektiren AI g\u00f6revlerinde daha dengeli bir performans sunacak.<\/p>\n<p>Sekt\u00f6rde 2026&#8217;da beklenen HBM4&#8217;\u00fcn denetleyici tabanl\u0131 mimarisiyle \u00f6nemli bir ad\u0131m at\u0131laca\u011f\u0131 biliniyor, ancak GPU \u00e7ekirdeklerinin do\u011frudan taban kata entegre edilmesi <strong>bu ad\u0131m\u0131n daha ileri bir versiyonu<\/strong> olabilir. Buna ra\u011fmen konseptin uygulanabilirli\u011fi kolay de\u011fil. GPU \u00e7ekirdeklerinin HBM taban\u0131na ta\u015f\u0131nmas\u0131 hem fiziksel alan hem de \u0131s\u0131 yo\u011funlu\u011fu a\u00e7\u0131s\u0131ndan zorlu bir m\u00fchendislik s\u00fcreci demek.<\/p>\n<p>AI odakl\u0131 h\u0131zland\u0131r\u0131c\u0131lar\u0131n <strong>2000W seviyelerinin \u00fczerine<\/strong> \u00e7\u0131kan g\u00fc\u00e7 t\u00fcketimleri d\u00fc\u015f\u00fcn\u00fcld\u00fc\u011f\u00fcnde, b\u00f6yle bir yap\u0131n\u0131n bir\u00e7ok kritik unsuru yeniden tan\u0131mlamas\u0131 gerekiyor. Bu ba\u011flamda sekt\u00f6r\u00fcn \u00f6n\u00fcm\u00fczdeki d\u00f6nemde daha agresif ve b\u00fct\u00fcnle\u015fik tasar\u0131mlara y\u00f6nelmesi muhtemel.<\/p>\n\n<p><span style=\"display: block; width: 343.125px; color: rgb(55, 58, 60); font-size: 14px; background-color: rgb(255, 249, 236);\"><\/span><\/p>\n<p>Kaynak :\u00a0<span style=\"background-color: rgb(255, 249, 236); color: rgb(55, 58, 60); font-size: 14px;\">https:\/\/www.donanimhaber.com\/ai-ciplerinde-yeni-donem-gpu-cekirdekleri-hbm-e-tasiniyor&#8211;199101<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Nvidia ve Meta,\u00a0yapay zek\u00e2 h\u0131zland\u0131r\u0131c\u0131lar\u0131n\u0131n gelece\u011fine y\u00f6nelik yepyeni bir mimari planl\u0131yor. Her iki \u015firket, SK hynix ve Samsung ile birlikte GPU \u00e7ekirdeklerini do\u011frudan HBM bellek y\u0131\u011f\u0131n\u0131n\u0131n taban katman\u0131na entegre eden yeni nesil &#8220;custom HBM &#8230;<\/p>\n","protected":false},"author":1,"featured_media":112458,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[6669],"class_list":["post-112457","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-teknoloji","tag-taban"],"_links":{"self":[{"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/posts\/112457","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/comments?post=112457"}],"version-history":[{"count":1,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/posts\/112457\/revisions"}],"predecessor-version":[{"id":112460,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/posts\/112457\/revisions\/112460"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/media\/112458"}],"wp:attachment":[{"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/media?parent=112457"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/categories?post=112457"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/tags?post=112457"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}