{"id":96360,"date":"2025-05-23T07:48:08","date_gmt":"2025-05-23T07:48:08","guid":{"rendered":"https:\/\/ekamu.net\/?p=96360"},"modified":"2025-05-23T07:48:08","modified_gmt":"2025-05-23T07:48:08","slug":"nvidia-blackwell-ai-ciplerinde-asiri-isinma-sorunuyla-karsi-karsiya","status":"publish","type":"post","link":"https:\/\/ekamu.net\/index.php\/2025\/05\/23\/nvidia-blackwell-ai-ciplerinde-asiri-isinma-sorunuyla-karsi-karsiya\/","title":{"rendered":"Nvidia, Blackwell AI \u00e7iplerinde a\u015f\u0131r\u0131 \u0131s\u0131nma sorunuyla kar\u015f\u0131 kar\u015f\u0131ya"},"content":{"rendered":"

<\/span> D\u00fcnyan\u0131n \u00f6nde gelen yapay zeka ve y\u00fcksek performansl\u0131 yonga \u00fcreticisi Nvidia<\/strong>, yeni nesil Blackwell<\/strong> i\u015flemcilerinde ya\u015fanan a\u015f\u0131r\u0131 \u0131s\u0131nma<\/strong> sorunlar\u0131 nedeniyle zor bir s\u00fcre\u00e7ten ge\u00e7iyor. The Information taraf\u0131ndan yay\u0131mlanan bir rapora g\u00f6re, bu sorunlar yaln\u0131zca tasar\u0131m de\u011fi\u015fikliklerine ve \u00fcretim gecikmelerine yol a\u00e7makla kalm\u0131yor, ayn\u0131 zamanda Google, Meta ve Microsoft gibi b\u00fcy\u00fck m\u00fc\u015fterilerin endi\u015felerini art\u0131r\u0131yor. <\/figure>\n

A\u015f\u0131r\u0131 \u0131s\u0131nma ve performans\u0131 kayb\u0131<\/b><\/p>\n

Blackwell GPU\u2019lar\u0131, \u00f6zellikle 72 i\u015flemcili y\u00fcksek kapasiteli sunucu raflar\u0131nda ciddi \u0131s\u0131nma sorunlar\u0131yla kar\u015f\u0131la\u015f\u0131yor. Bu sunucular\u0131n tek bir raf\u0131nda 120 kW\u2019a<\/strong> kadar enerji t\u00fcketimi olmas\u0131 bekleniyor. Is\u0131nma problemi, hem i\u015flemci performans\u0131n\u0131 s\u0131n\u0131rl\u0131yor hem de bile\u015fenlerde hasar riski yarat\u0131yor. Nvidia\u2019n\u0131n bu sorunlar\u0131n \u00e7\u00f6z\u00fcm\u00fc i\u00e7in sunucu raflar\u0131n\u0131n tasar\u0131m\u0131n\u0131 defalarca g\u00f6zden ge\u00e7irmek zorunda kald\u0131\u011f\u0131 belirtiliyor.<\/p>\n

Nvidia\u2019n\u0131n, a\u015f\u0131r\u0131 \u0131s\u0131nmay\u0131 \u00f6nlemek amac\u0131yla tedarik\u00e7ilerine bir\u00e7ok tasar\u0131m de\u011fi\u015fikli\u011fi<\/strong> talimat\u0131<\/strong> verdi\u011fi bildirildi. So\u011futma sistemlerinin geli\u015ftirilmesi i\u00e7in m\u00fchendislik revizyonlar\u0131 yap\u0131l\u0131rken, bu s\u00fcre\u00e7 ayn\u0131 zamanda sevkiyat tarihlerinin de ertelenmesine yol a\u00e7t\u0131. Nvidia, bu t\u00fcr de\u011fi\u015fikliklerin teknoloji d\u00fcnyas\u0131nda b\u00fcy\u00fck \u00f6l\u00e7ekli lansmanlarda normal oldu\u011funu belirtse de, m\u00fc\u015fteriler \u00fcretim ve da\u011f\u0131t\u0131m takvimlerinde ya\u015fanan aksamalardan endi\u015feli.<\/p>\n

<\/span> Blackwell i\u015flemcilerindeki sorunlar yaln\u0131zca a\u015f\u0131r\u0131 \u0131s\u0131nmayla s\u0131n\u0131rl\u0131 de\u011fil. Daha \u00f6nce Nvidia, Blackwell GPU\u2019lar\u0131n\u0131n \u00fcretiminde kar\u015f\u0131la\u015f\u0131lan verimlilik problemleri nedeniyle \u00fcretimi ertelemek zorunda kalm\u0131\u015ft\u0131. Bu i\u015flemcilerde kullan\u0131lan TSMC\u2019nin CoWoS-L paketleme teknolojisi, iki yonga aras\u0131ndaki ba\u011flant\u0131y\u0131 sa\u011flamak i\u00e7in son derece hassas bir m\u00fchendislik gerektiriyor. Ancak, termal genle\u015fme farkl\u0131l\u0131klar\u0131ndan kaynaklanan yap\u0131sal sorunlar, sistem ar\u0131zalar\u0131na neden olmu\u015ftu. Nvidia, bu problemleri \u00e7\u00f6zmek i\u00e7in i\u015flemci tasar\u0131m\u0131nda \u00e7e\u015fitli d\u00fczenlemeler yaparak sorunu \u00e7\u00f6zd\u00fc\u011f\u00fcn\u00fc a\u00e7\u0131klam\u0131\u015ft\u0131. <\/figure>\n

Yapay zeka \u00e7al\u0131\u015fmalar\u0131 etkilenebilir<\/b><\/p>\n

Nvidia\u2019n\u0131n geciken sevkiyatlar\u0131 Google<\/strong>, Meta<\/strong> ve Microsoft<\/strong> gibi b\u00fcy\u00fck teknoloji \u015firketlerinin planlar\u0131n\u0131 etkileyebilir. Bu \u015firketler, b\u00fcy\u00fck dil modelleri gibi geli\u015fmi\u015f yapay<\/strong> zeka<\/strong> sistemlerini e\u011fitmek i\u00e7in Nvidia\u2019n\u0131n GPU\u2019lar\u0131n\u0131 kullan\u0131yor. Blackwell i\u015flemcilerinin gecikmesi, bu sistemlerin geli\u015ftirme ve uygulama s\u00fcre\u00e7lerini de aksatabilir.<\/p>\n

Gecikmeler ve a\u015f\u0131r\u0131 \u0131s\u0131nma sorunlar\u0131na yan\u0131t olarak bir Nvidia s\u00f6zc\u00fcs\u00fc Reuters’e bulut sa\u011flay\u0131c\u0131larla yap\u0131lan ortak \u00e7al\u0131\u015fmalar\u0131 hat\u0131rlatt\u0131 ve tasar\u0131m de\u011fi\u015fikliklerini normal geli\u015ftirme s\u00fcrecinin bir par\u00e7as\u0131 olarak tan\u0131mlad\u0131. Sonu\u00e7 itibar\u0131yla, Blackwell GPU’lar\u0131n son revizyonu ancak Ekim ay\u0131 sonunda seri \u00fcretime girebildi; bu da Nvidia’n\u0131n bu i\u015flemcileri Ocak ay\u0131 sonundan itibaren sevk edebilece\u011fi anlam\u0131na geliyor. Orijinal planlar ise 2024\u2019\u00fcn ikinci \u00e7eyre\u011fini hedefliyordu.<\/p>\n\n

<\/span><\/p>\n

Kaynak :\u00a0https:\/\/www.donanimhaber.com\/nvidia-blackwell-ai-ciplerinde-asiri-isinma-sorunu-yasiyor–184328<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

D\u00fcnyan\u0131n \u00f6nde gelen yapay zeka ve y\u00fcksek performansl\u0131 yonga \u00fcreticisi Nvidia, yeni nesil Blackwell i\u015flemcilerinde ya\u015fanan a\u015f\u0131r\u0131 \u0131s\u0131nma sorunlar\u0131 nedeniyle zor bir s\u00fcre\u00e7ten ge\u00e7iyor. The Information taraf\u0131ndan yay\u0131mlanan bir rapora g\u00f6re, bu …<\/p>\n","protected":false},"author":1,"featured_media":96361,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[2563,124,284,617,369],"class_list":["post-96360","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-teknoloji","tag-blackwell","tag-islemci","tag-nvidia","tag-sorunlar","tag-uretim"],"_links":{"self":[{"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/posts\/96360","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=96360"}],"version-history":[{"count":1,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/posts\/96360\/revisions"}],"predecessor-version":[{"id":96364,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/posts\/96360\/revisions\/96364"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/media\/96361"}],"wp:attachment":[{"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/media?parent=96360"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/categories?post=96360"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/tags?post=96360"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}