{"id":84598,"date":"2024-10-08T11:24:07","date_gmt":"2024-10-08T11:24:07","guid":{"rendered":"https:\/\/ekamu.net\/?p=84598"},"modified":"2024-10-08T11:24:07","modified_gmt":"2024-10-08T11:24:07","slug":"foxconn-nvidia-gpulari-icin-dunyanin-en-buyuk-tesisini-insa-ediyor","status":"publish","type":"post","link":"https:\/\/ekamu.net\/index.php\/2024\/10\/08\/foxconn-nvidia-gpulari-icin-dunyanin-en-buyuk-tesisini-insa-ediyor\/","title":{"rendered":"Foxconn, Nvidia GPU\u2019lar\u0131 i\u00e7in d\u00fcnyan\u0131n en b\u00fcy\u00fck tesisini in\u015fa ediyor"},"content":{"rendered":"<p><figure> <span> <img decoding=\"async\" src=\"https:\/\/ekamu.net\/wp-content\/uploads\/2024\/10\/foxconn-nvidia-gpulari-icin-dunyanin-en-buyuk-tesisini-insa-ediyor-0-WEF8rP1S.jpg\"\/> <\/span> D\u00fcnyan\u0131n en b\u00fcy\u00fck fason elektronik \u00fcreticisi <strong>Foxconn<\/strong>, <strong>Nvidia<\/strong>\u2019n\u0131n <strong>GB200 <\/strong>\u00e7iplerini \u00fcretmek i\u00e7in <strong>d\u00fcnyan\u0131n en b\u00fcy\u00fck \u00fcretim tesisini <\/strong>kurmay\u0131 planlad\u0131\u011f\u0131n\u0131 duyurdu. Duyuru, Foxconn&#8217;un k\u0131demli ba\u015fkan yard\u0131mc\u0131s\u0131<strong> Benjamin Ting<\/strong> taraf\u0131ndan Nvidia\u2019n\u0131n Tayvan&#8217;da d\u00fczenlenen y\u0131ll\u0131k teknoloji g\u00fcn\u00fc etkinli\u011finde yap\u0131ld\u0131. Ancak, tesisin tam olarak nerede in\u015fa edilece\u011fi hen\u00fcz a\u00e7\u0131klanmad\u0131. <\/figure>\n<p><b>Foxconn, Nvidia GPU\u2019lar\u0131 \u00fcretecek<\/b><\/p>\n<p>Ting, yapt\u0131\u011f\u0131 a\u00e7\u0131klamada<em> \u201c\u015eu an i\u00e7in tam olarak nerede oldu\u011funu s\u00f6yleyemem ancak d\u00fcnyan\u0131n en b\u00fcy\u00fck GB200 \u00fcretim tesisini in\u015fa ediyoruz\u201d<\/em> dedi. Bu hamle, \u00f6zellikle <strong>yapay zeka <\/strong>(AI) modellerinin e\u011fitimi gibi yo\u011fun bilgi i\u015flem gerektiren i\u015flemler i\u00e7in geli\u015ftirilen Nvidia\u2019n\u0131n yeni nesil <strong>Blackwell <\/strong>platformuna olan yo\u011fun talepten kaynaklan\u0131yor. AI giri\u015fimlerinin artan say\u0131s\u0131, bu \u00e7iplerin talebini \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131rm\u0131\u015f durumda. AI modelleri e\u011fitildikten sonra bile, artan veri miktar\u0131n\u0131 i\u015flemek i\u00e7in b\u00fcy\u00fck hesaplama g\u00fcc\u00fcne ihtiya\u00e7 duyuyorlar. Bu s\u00fcre\u00e7te Nvidia\u2019n\u0131n Blackwell platformu ve GB200 GPU&#8217;lar\u0131 devreye giriyor. \u015eimdiden Microsoft gibi bir\u00e7ok b\u00fcy\u00fck \u015firket bu GPU\u2019lar i\u00e7in \u00f6n sipari\u015fler vermi\u015f durumda.\u00a0<\/p>\n<p>Nvidia\u2019n\u0131n GB200 \u00e7ipi, iki Blackwell B200 GPU ve bir Grace CPU\u2019dan olu\u015fan bir <strong>s\u00fcper \u00e7ip <\/strong>olarak tan\u0131t\u0131lm\u0131\u015ft\u0131. Her bir GPU, 192GB HBM3E belle\u011fe sahipken, CPU ise 512GB LPDDR5 belle\u011fe ba\u011flan\u0131yor. Bu da toplamda 896GB birle\u015fik bellek sa\u011fl\u0131yor. Bu bile\u015fenler, y\u00fcksek h\u0131zl\u0131 veri aktar\u0131m\u0131n\u0131 m\u00fcmk\u00fcn k\u0131lan NVLINK ile birbirine ba\u011flan\u0131yor. GB200 \u00e7ipi ayr\u0131ca, GB200 NVL72 platformunda bir raf olarak da sunuluyor. Bu platform, tek bir NVLINK domaini i\u00e7inde 512 GPU\u2019ya kadar \u00f6l\u00e7eklenebiliyor. Bu kurulum, b\u00fcy\u00fck \u00f6l\u00e7ekli yapay zeka e\u011fitimi ve \u00e7\u0131kar\u0131m g\u00f6revlerinde performans\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131r\u0131yor.<\/p>\n<p>Foxconn\u2019un geni\u015fleme karar\u0131, yaln\u0131zca Apple i\u00e7in elektronik \u00fcretimi ile s\u0131n\u0131rl\u0131 kalmay\u0131p, GPU \u00fcretimine de a\u011f\u0131rl\u0131k vermeye ba\u015flad\u0131\u011f\u0131n\u0131 g\u00f6steriyor. \u015eirket, AI alan\u0131ndaki b\u00fcy\u00fcmenin yaratt\u0131\u011f\u0131 yeni f\u0131rsatlar\u0131 de\u011ferlendirerek, Nvidia\u2019n\u0131n GB200 gibi y\u00fcksek performansl\u0131 \u00e7iplerinin \u00fcretiminde lider konuma gelmeyi hedefliyor.<\/p>\n<p><b>S\u00fcper bilgisayar da in\u015fa ediliyor<\/b><\/p>\n<figure> <span> <img decoding=\"async\" src=\"https:\/\/ekamu.net\/wp-content\/uploads\/2024\/10\/foxconn-nvidia-gpulari-icin-dunyanin-en-buyuk-tesisini-insa-ediyor-1-yveuqxVn.jpg\"\/> <\/span> Foxconn Ba\u015fkan\u0131 Young Liu, etkinlikte \u015firketin tedarik zincirinin AI devrimi i\u00e7in haz\u0131r oldu\u011funu belirtti. Foxconn ve Nvidia ayr\u0131ca Tayvan\u2019\u0131n en b\u00fcy\u00fck s\u00fcper bilgisayar\u0131n\u0131, <strong>Hon Hai Kaohsiung S\u00fcper Bilgi \u0130\u015flem Merkezi<\/strong>\u2019ni in\u015fa etmek i\u00e7in birlikte \u00e7al\u0131\u015f\u0131yor. Bu s\u00fcper bilgisayar, Blackwell mimarisi \u00fczerine kurulacak ve GB200 NVL72 platformunda 64 raf ve 4.608 Tensor Core GPU\u2019ya sahip olacak. Toplamda <strong>90 exaflops<\/strong>\u2019tan fazla performans sunmas\u0131 beklenen bu s\u00fcper bilgisayar, AI ve di\u011fer hesaplama yo\u011fun i\u015flemler i\u00e7in kullan\u0131lacak. <\/figure>\n<p>S\u00fcper bilgisayar\u0131n in\u015fas\u0131 halihaz\u0131rda ba\u015flam\u0131\u015f durumda ve ilk faz\u0131n 2025 y\u0131l\u0131n\u0131n ortalar\u0131nda faaliyete ge\u00e7mesi bekleniyor. Tam kapasiteye ise 2026 y\u0131l\u0131nda ula\u015fmas\u0131 hedefleniyor.<\/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\/foxconn-nvidia-icin-dunyanin-en-buyuk-tesisini-insa-ediyor&#8211;182841<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>D\u00fcnyan\u0131n en b\u00fcy\u00fck fason elektronik \u00fcreticisi Foxconn, Nvidia\u2019n\u0131n GB200 \u00e7iplerini \u00fcretmek i\u00e7in d\u00fcnyan\u0131n en b\u00fcy\u00fck \u00fcretim tesisini kurmay\u0131 planlad\u0131\u011f\u0131n\u0131 duyurdu. Duyuru, Foxconn&#8217;un k\u0131demli ba\u015fkan yard\u0131mc\u0131s\u0131 Benjamin Ting taraf\u0131ndan Nvidia\u2019n\u0131n Tayvan &#8230;<\/p>\n","protected":false},"author":1,"featured_media":84599,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[901,5021,4366,523,1133],"class_list":["post-84598","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-teknoloji","tag-ai","tag-foxconn","tag-gb200","tag-gpu","tag-islem"],"_links":{"self":[{"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/posts\/84598","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=84598"}],"version-history":[{"count":1,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/posts\/84598\/revisions"}],"predecessor-version":[{"id":84602,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/posts\/84598\/revisions\/84602"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/media\/84599"}],"wp:attachment":[{"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/media?parent=84598"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/categories?post=84598"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/tags?post=84598"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}