{"id":8884,"date":"2023-09-19T17:07:20","date_gmt":"2023-09-19T14:07:20","guid":{"rendered":"https:\/\/www.itopya.com\/blog\/?p=8884"},"modified":"2023-09-19T17:07:20","modified_gmt":"2023-09-19T14:07:20","slug":"nvidiadan-heyecan-verici-haber-yeni-nesil-blackwell-gpulari-chiplet-tasarimina-geciyor","status":"publish","type":"post","link":"https:\/\/www.itopya.com\/blog\/nvidiadan-heyecan-verici-haber-yeni-nesil-blackwell-gpulari-chiplet-tasarimina-geciyor\/","title":{"rendered":"Nvidia’dan Heyecan Verici Haber: Yeni Nesil Blackwell GPU’lar\u0131 Chiplet Tasar\u0131m\u0131na Ge\u00e7iyor"},"content":{"rendered":"

Nvidia, teknoloji d\u00fcnyas\u0131nda yine b\u00fcy\u00fck bir de\u011fi\u015fikli\u011fe imza atmaya haz\u0131rlan\u0131yor. Son bilgilere g\u00f6re, firma yeni nesil Blackwell GB100 GPU’lar\u0131 i\u00e7in chiplet tasar\u0131m\u0131n\u0131 kullanmay\u0131 planl\u0131yor. Bu b\u00fcy\u00fck ad\u0131m, Nvidia’n\u0131n HPC (Y\u00fcksek Performansl\u0131 Hesaplama) ve yapay zeka alan\u0131nda m\u00fc\u015fterilerine daha y\u00fcksek performans ve verimlilik sunma hedefine i\u015faret ediyor.<\/p>\n

Nvidia’n\u0131n Chiplet Tasar\u0131m\u0131na Ge\u00e7i\u015fi<\/h2>\n

Nvidia, uzun s\u00fcredir monolitik tasar\u0131m\u0131 tercih ediyordu. Ancak g\u00fcvenilir kaynaklardan gelen bilgilere g\u00f6re, firma art\u0131k yeni nesil Blackwell GB100 GPU’lar\u0131nda chiplet tasar\u0131m\u0131n\u0131 benimsemeye haz\u0131rlan\u0131yor. Bu, Nvidia’n\u0131n veri merkezi segmentindeki ilk chiplet tasar\u0131m\u0131n\u0131 kullanaca\u011f\u0131 anlam\u0131na geliyor. Peki, chiplet tasar\u0131m\u0131 nedir ve neden bu kadar \u00f6nemli?<\/p>\n

Chiplet Tasar\u0131m\u0131 Nedir?<\/h2>\n

Chiplet tasar\u0131m\u0131, bir \u00e7ip \u00fczerindeki farkl\u0131 bile\u015fenleri ayr\u0131 ayr\u0131 \u00fcretip daha sonra bir araya getirme yakla\u015f\u0131m\u0131n\u0131 benimser. Bu, performans\u0131n art\u0131r\u0131lmas\u0131 ve enerji verimlili\u011finin art\u0131r\u0131lmas\u0131na yard\u0131mc\u0131 olabilir. Chiplet tasar\u0131m\u0131, \u00f6zellikle y\u00fcksek g\u00fc\u00e7 t\u00fcketen uygulamalarda daha iyi bir se\u00e7enek olabilir.<\/p>\n

\"g\u00f6rsel1\"<\/p>\n

Chiplet ve Monolitik Tasar\u0131m Kar\u015f\u0131la\u015ft\u0131rmas\u0131<\/h2>\n

Hem chiplet hem de monolitik tasar\u0131mlar\u0131n avantajlar\u0131 ve dezavantajlar\u0131 bulunuyor. Monolitik tasar\u0131m, daha basit bir \u00fcretim s\u00fcreci sunar, ancak performans art\u0131\u015f\u0131 s\u0131n\u0131rl\u0131 olabilir. Chiplet tasar\u0131m\u0131 ise daha fazla esneklik ve \u00f6zelle\u015ftirme olana\u011f\u0131 sa\u011flar, ancak \u00fcretim ve entegrasyon daha karma\u015f\u0131kt\u0131r.<\/p>\n

Nvidia’n\u0131n Chiplet Stratejisi<\/h2>\n

Nvidia, Hopper ve Ada Lovelace GPU’lar\u0131 ile monolitik tasar\u0131m\u0131 ba\u015far\u0131yla kullanm\u0131\u015ft\u0131r. Ancak Blackwell GPU’lar\u0131nda chiplet tasar\u0131m\u0131na ge\u00e7i\u015f yaparak daha fazla performans ve verimlilik elde etmeyi hedefliyor. Bu tasar\u0131m de\u011fi\u015fikli\u011fi, \u00f6zellikle veri merkezi ve yapay zeka segmentlerindeki kullan\u0131c\u0131lar i\u00e7in \u00f6nemlidir.<\/p>\n

\"g\u00f6rsel2\"<\/p>\n

\u00dcretim ve Tedarik Zorluklar\u0131<\/h2>\n

Chiplet tasar\u0131m\u0131n\u0131 kullanmak, uygun \u00fcretim tiplerinin se\u00e7ilmesini gerektirir. Nvidia, bu alanda lider \u00fcretim tesisleriyle \u00e7al\u0131\u015fmal\u0131d\u0131r. Tedarik konusundaki sorunlar, projenin ba\u015far\u0131s\u0131n\u0131 etkileyebilir. TSMC gibi \u00f6nc\u00fc paketleme teknolojileri sa\u011flayan firmalar\u0131n desteklenmesi kritik bir rol oynar.<\/p>\n

Blackwell GPU’lar\u0131n\u0131n Mimarisi<\/h2>\n

Blackwell GPU’lar\u0131n\u0131n mimari yap\u0131s\u0131nda da \u00f6nemli de\u011fi\u015fiklikler bekleniyor. Grafik ve doku birimlerinin say\u0131s\u0131 Hopper’dan \u00e7ok fazla de\u011fi\u015fmeyebilir, ancak i\u00e7 birim yap\u0131s\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde de\u011fi\u015fecektir. Bu, daha iyi bir performans ve verimlilik elde etmek i\u00e7in tasarlanm\u0131\u015ft\u0131r.<\/p>\n

Sonu\u00e7<\/h2>\n

Nvidia’n\u0131n yeni nesil Blackwell GPU’lar\u0131, chiplet tasar\u0131m\u0131yla gelece\u011fe ad\u0131m at\u0131yor. Bu ad\u0131m, firman\u0131n teknoloji d\u00fcnyas\u0131nda daha da \u00f6ne \u00e7\u0131kmas\u0131n\u0131 sa\u011flayabilir. Chiplet tasar\u0131m\u0131n\u0131n getirdi\u011fi avantajlar, Nvidia’n\u0131n performans ve verimlilik konusundaki hedeflerine ula\u015fmas\u0131na yard\u0131mc\u0131 olacakt\u0131r.<\/p>\n

S\u0131k Sorulan Sorular<\/h2>\n
    \n
  1. Nvidia’n\u0131n Blackwell GPU’lar\u0131 ne zaman piyasaya s\u00fcr\u00fclecek?\n
      \n
    • Blackwell GPU’lar\u0131, 2024 y\u0131l\u0131nda veri merkezi ve yapay zeka segmenti i\u00e7in piyasaya s\u00fcr\u00fclmesi planlan\u0131yor.<\/li>\n<\/ul>\n<\/li>\n
    • Chiplet tasar\u0131m\u0131, performans\u0131 nas\u0131l art\u0131rabilir?\n
        \n
      • Chiplet tasar\u0131m\u0131, farkl\u0131 bile\u015fenleri ayr\u0131 ayr\u0131 optimize etmeye olanak tan\u0131r, bu da daha y\u00fcksek performans elde edilmesini sa\u011flayabilir.<\/li>\n<\/ul>\n<\/li>\n
      • Chiplet tasar\u0131m\u0131 ve monolitik tasar\u0131m aras\u0131ndaki fark nedir?\n
          \n
        • Chiplet tasar\u0131m\u0131, farkl\u0131 bile\u015fenleri ayr\u0131 ayr\u0131 \u00fcretip bir araya getirme yakla\u015f\u0131m\u0131n\u0131 benimserken, monolitik tasar\u0131m t\u00fcm bile\u015fenleri tek bir \u00e7ip \u00fczerinde birle\u015ftirir.<\/li>\n<\/ul>\n<\/li>\n
        • Nvidia’n\u0131n chiplet tasar\u0131m\u0131na ge\u00e7i\u015fi neden \u00f6nemlidir?\n
            \n
          • Chiplet tasar\u0131m\u0131, daha y\u00fcksek performans ve enerji verimlili\u011fi sa\u011flayarak Nvidia’n\u0131n m\u00fc\u015fterilerine daha iyi bir deneyim sunmas\u0131na yard\u0131mc\u0131 olabilir.<\/li>\n<\/ul>\n<\/li>\n
          • Chiplet tasar\u0131m\u0131 kullanmak, tedarik sorunlar\u0131na yol a\u00e7abilir mi?\n
              \n
            • Evet, chiplet tasar\u0131m\u0131 kullanmak, uygun \u00fcretim tesislerinin ve tedarik zincirinin sa\u011flanmas\u0131n\u0131 gerektirir, bu nedenle tedarik sorunlar\u0131 potansiyel bir endi\u015fe kayna\u011f\u0131 olabilir.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

              Nvidia, teknoloji d\u00fcnyas\u0131nda yine b\u00fcy\u00fck bir de\u011fi\u015fikli\u011fe imza atmaya haz\u0131rlan\u0131yor. Son bilgilere g\u00f6re, firma yeni nesil Blackwell GB100 GPU’lar\u0131 i\u00e7in chiplet tasar\u0131m\u0131n\u0131 kullanmay\u0131 planl\u0131yor. Bu b\u00fcy\u00fck ad\u0131m, Nvidia’n\u0131n HPC (Y\u00fcksek Performansl\u0131 Hesaplama) ve yapay zeka alan\u0131nda m\u00fc\u015fterilerine daha y\u00fcksek performans ve verimlilik sunma hedefine i\u015faret ediyor. Nvidia’n\u0131n Chiplet Tasar\u0131m\u0131na Ge\u00e7i\u015fi Nvidia, uzun s\u00fcredir monolitik tasar\u0131m\u0131 …<\/p>\n<\/div>","protected":false},"author":2,"featured_media":8886,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[81],"tags":[],"class_list":["post-8884","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ekran-karti"],"_links":{"self":[{"href":"https:\/\/www.itopya.com\/blog\/wp-json\/wp\/v2\/posts\/8884","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.itopya.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.itopya.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.itopya.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.itopya.com\/blog\/wp-json\/wp\/v2\/comments?post=8884"}],"version-history":[{"count":3,"href":"https:\/\/www.itopya.com\/blog\/wp-json\/wp\/v2\/posts\/8884\/revisions"}],"predecessor-version":[{"id":9179,"href":"https:\/\/www.itopya.com\/blog\/wp-json\/wp\/v2\/posts\/8884\/revisions\/9179"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.itopya.com\/blog\/wp-json\/wp\/v2\/media\/8886"}],"wp:attachment":[{"href":"https:\/\/www.itopya.com\/blog\/wp-json\/wp\/v2\/media?parent=8884"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.itopya.com\/blog\/wp-json\/wp\/v2\/categories?post=8884"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.itopya.com\/blog\/wp-json\/wp\/v2\/tags?post=8884"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}