{"id":146907,"date":"2025-11-30T06:54:13","date_gmt":"2025-11-30T06:54:13","guid":{"rendered":"https:\/\/kamucalisani.net\/?p=146907"},"modified":"2025-11-30T06:54:13","modified_gmt":"2025-11-30T06:54:13","slug":"cinden-iddiali-cikis-14nm-mimarisi-nvidiaya-rakip-olacak","status":"publish","type":"post","link":"https:\/\/kamucalisani.net\/index.php\/2025\/11\/30\/cinden-iddiali-cikis-14nm-mimarisi-nvidiaya-rakip-olacak\/","title":{"rendered":"\u00c7in&#8217;den iddial\u0131 \u00e7\u0131k\u0131\u015f: 14nm mimarisi Nvidia&#8217;ya rakip olacak"},"content":{"rendered":"<p><figure> <span> <img decoding=\"async\" src=\"https:\/\/kamucalisani.net\/wp-content\/uploads\/2025\/11\/cinden-iddiali-cikis-14nm-mimarisi-nvidiaya-rakip-olacak-0-q6VlqTFb.jpg\"\/> <\/span> \u00c7in, <strong>yerli yar\u0131 iletken ekosistemini<\/strong> g\u00fc\u00e7lendirmek i\u00e7in uzun s\u00fcredir yo\u011fun bir \u00e7aba y\u00fcr\u00fct\u00fcyor. Bu kapsamda ABD ambargolar\u0131 artarken, \u00c7in&#8217;in Yar\u0131 \u0130letken End\u00fcstrisi Birli\u011fi Ba\u015fkan Yard\u0131mc\u0131s\u0131 <strong>Wei Shaojun<\/strong>&#8216;dan s\u00fcrpriz bir a\u00e7\u0131klama payla\u015f\u0131ld\u0131. \u00c7in&#8217;de geli\u015ftirilen yeni 14nm i\u015flemci, NVIDIA gibi k\u00fcresel \u00fcreticilere rakip olabilir.\u00a0 <\/figure>\n<p><b>120 TFLOPS g\u00fcc\u00fcyle A100&#8217;\u00fc geride b\u0131rakabilir<\/b><\/p>\n<p>Shaojun&#8217;un aktard\u0131\u011f\u0131na g\u00f6re \u00e7ip, 14nm mant\u0131ksal birimlerin <strong>18nm DRAM mod\u00fclleriyle do\u011frudan birle\u015ftirilmesiyle<\/strong> tasarlan\u0131yor. Bu yakla\u015f\u0131m, bellek bant geni\u015fli\u011finde belirgin bir art\u0131\u015f sa\u011flarken, hesaplama gecikmelerini de kayda de\u011fer \u00f6l\u00e7\u00fcde d\u00fc\u015f\u00fcr\u00fcyor. Rakamlara gelirsek,\u00a0sistemin toplamda <strong>120 TFLOPS&#8217;luk hesaplama g\u00fcc\u00fcne<\/strong> ula\u015ft\u0131\u011f\u0131 ve watt ba\u015f\u0131na <strong>2 TFLOPS verimlilik sundu\u011fu<\/strong> payla\u015f\u0131ld\u0131.<\/p>\n<p>Bu de\u011ferler, teknik a\u00e7\u0131dan <strong>NVIDIA A100 h\u0131zland\u0131r\u0131c\u0131lar\u0131n\u0131n \u00fczerinde.<\/strong>\u00a0Ancak mimari detaylar\u0131n a\u00e7\u0131klanmam\u0131\u015f olmas\u0131 nedeniyle bu performans\u0131n hangi kullan\u0131m senaryolar\u0131 i\u00e7in ge\u00e7erli oldu\u011fu hen\u00fcz netle\u015fmi\u015f de\u011fil. Yine de \u00c7in, elde edilen sonu\u00e7lar\u0131n \u00f6zellikle <strong>yapay zek\u00e2 e\u011fitim s\u00fcre\u00e7lerinde CUDA ekosistemine ba\u011f\u0131ml\u0131l\u0131\u011f\u0131 azaltabilece\u011fini s\u00f6yl\u00fcyor.<\/strong><\/p>\n<p>Asl\u0131na bakacak olursak, \u00c7in\u2019in \u00fcretim teknolojisi a\u00e7\u0131s\u0131ndan 4nm ve alt\u0131 s\u00fcre\u00e7lerden h\u00e2l\u00e2 uzak oldu\u011funu s\u00f6yleyelim. Ancak bellek ve veri aktar\u0131m katman\u0131nda uygulad\u0131\u011f\u0131 \u00e7\u00f6z\u00fcmlerle rekabeti farkl\u0131 bir noktaya ta\u015f\u0131yabilir.\u00a0<\/p>\n\n<p>Kaynak\u00a0 :\u00a0<span style=\"background-color: rgb(255, 249, 236); color: rgb(55, 58, 60); font-size: 14px;\">https:\/\/www.donanimhaber.com\/cin-den-iddiali-cikis-14nm-mimarisi-nvidia-ya-rakip-olacak&#8211;199154<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u00c7in, yerli yar\u0131 iletken ekosistemini g\u00fc\u00e7lendirmek i\u00e7in uzun s\u00fcredir yo\u011fun bir \u00e7aba y\u00fcr\u00fct\u00fcyor. Bu kapsamda ABD ambargolar\u0131 artarken, \u00c7in&#8217;in Yar\u0131 \u0130letken End\u00fcstrisi Birli\u011fi Ba\u015fkan Yard\u0131mc\u0131s\u0131 Wei Shaojun&#8217;dan s\u00fcrpriz bir a\u00e7\u0131klama payla\u015f\u0131ld\u0131. \u00c7in&#8217;de &#8230;<\/p>\n","protected":false},"author":1,"featured_media":146908,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[],"class_list":["post-146907","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-teknoloji"],"_links":{"self":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts\/146907","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/comments?post=146907"}],"version-history":[{"count":1,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts\/146907\/revisions"}],"predecessor-version":[{"id":146910,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts\/146907\/revisions\/146910"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/media\/146908"}],"wp:attachment":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/media?parent=146907"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/categories?post=146907"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/tags?post=146907"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}