{"id":105543,"date":"2024-10-13T05:48:05","date_gmt":"2024-10-13T05:48:05","guid":{"rendered":"https:\/\/kamucalisani.net\/?p=105543"},"modified":"2024-10-13T05:48:05","modified_gmt":"2024-10-13T05:48:05","slug":"amd-cdna4-tabanli-288-gb-bellekli-instinct-mi355xin-ozelliklerini-acikladi","status":"publish","type":"post","link":"https:\/\/kamucalisani.net\/index.php\/2024\/10\/13\/amd-cdna4-tabanli-288-gb-bellekli-instinct-mi355xin-ozelliklerini-acikladi\/","title":{"rendered":"AMD, CDNA4 tabanl\u0131 288 GB bellekli Instinct MI355X\u2019in \u00f6zelliklerini a\u00e7\u0131klad\u0131"},"content":{"rendered":"<p><figure> <span> <img decoding=\"async\" src=\"https:\/\/kamucalisani.net\/wp-content\/uploads\/2024\/10\/amd-cdna4-tabanli-288-gb-bellekli-instinct-mi355xin-ozelliklerini-acikladi-0-5N3bZGsx.jpg\"\/> <\/span> <strong>AMD<\/strong>, d\u00fczenledi\u011fi etkinlik kapsam\u0131nda yapay zeka h\u0131zland\u0131r\u0131c\u0131lar\u0131ndaki yeni ad\u0131m\u0131 olan <strong>Instinct MI355X<\/strong>&#8216;i resmi olarak duyurdu. \u015eirket, bu yeni nesil <strong>CDNA4<\/strong> tabanl\u0131 h\u0131zland\u0131r\u0131c\u0131 ile g\u00fc\u00e7l\u00fc rakibi Nvidia&#8217;n\u0131n son modellerine meydan okumay\u0131 hedefliyor. MI355X\u2019in, <strong>2025 y\u0131l\u0131n\u0131n ikinci yar\u0131s\u0131nda<\/strong> piyasaya s\u00fcr\u00fclmesi bekleniyor. AMD, \u00fcr\u00fcn \u00e7\u0131k\u0131\u015f takviminde Nvidia gibi y\u0131ll\u0131k bir d\u00f6ng\u00fcye ge\u00e7mi\u015f durumda. <\/figure>\n<p><b>MI355X ve yeni nesil CDNA4 mimarisinin \u00f6zellikleri<\/b><\/p>\n<figure> <span> <img decoding=\"async\" src=\"https:\/\/kamucalisani.net\/wp-content\/uploads\/2024\/10\/amd-cdna4-tabanli-288-gb-bellekli-instinct-mi355xin-ozelliklerini-acikladi-1-sKVnZU7F.jpg\"\/> <\/span> Yeni MI355X, AMD\u2019nin CDNA4 mimarisiyle g\u00fc\u00e7lendirilmi\u015f bir model olarak dikkat \u00e7ekiyor. Bu, asl\u0131nda &#8220;<strong>s\u0131f\u0131rdan yeniden tasar\u0131m<\/strong>&#8221; olarak tan\u0131t\u0131lsa da, \u00f6nceki CDNA3 mimarisine benzerlikler ta\u015f\u0131yor. MI355X, <strong>TSMC<\/strong>&#8216;nin en son teknoloji \u00fcr\u00fcn\u00fc <strong>N3 3nm<\/strong> i\u015flem s\u00fcrecini kullanacak ve bu da performans konusunda \u00f6nemli iyile\u015ftirmeler sunacak. AMD, bu h\u0131zland\u0131r\u0131c\u0131da <strong>FP4 <\/strong>ve<strong> FP6<\/strong> veri t\u00fcrlerine de destek sa\u011flayarak yapay zeka hesaplamalar\u0131nda b\u00fcy\u00fck bir s\u0131\u00e7rama hedefliyor. <\/figure>\n<figure> <span> <img decoding=\"async\" src=\"https:\/\/kamucalisani.net\/wp-content\/uploads\/2024\/10\/amd-cdna4-tabanli-288-gb-bellekli-instinct-mi355xin-ozelliklerini-acikladi-2-f7hlrNNX.jpg\"\/> <\/span> Yeni model, <strong>288 GB HBM3E<\/strong> bellek kapasitesine kadar destek sunacak. Bu bellek, yapay zeka uygulamalar\u0131nda h\u0131zland\u0131r\u0131lm\u0131\u015f veri i\u015fleme ve daha y\u00fcksek bant geni\u015fli\u011fi sa\u011flamak i\u00e7in kullan\u0131lacak. MI355X, \u201c<strong>10 i\u015flem eleman\u0131<\/strong>\u201d ile gelecek ancak bu say\u0131n\u0131n ne anlama geldi\u011fi hen\u00fcz net de\u011fil. Bununla birlikte, AMD&#8217;nin payla\u015ft\u0131\u011f\u0131 ilk spesifikasyonlar olduk\u00e7a umut verici. <\/figure>\n<p><b>Blackwell B200\u2019e rakip<\/b><\/p>\n<figure> <span> <img decoding=\"async\" src=\"https:\/\/kamucalisani.net\/wp-content\/uploads\/2024\/10\/amd-cdna4-tabanli-288-gb-bellekli-instinct-mi355xin-ozelliklerini-acikladi-3-vYylfZOS.jpg\"\/> <\/span> MI300X\u2019in 1.3 petaflop <strong>FP16<\/strong> ve 2.61 petaflop <strong>FP8<\/strong> hesaplama g\u00fcc\u00fcne sahip oldu\u011fu biliniyor. <strong>MI355X<\/strong> ise bu say\u0131lar\u0131 s\u0131ras\u0131yla <strong>2.3 ve 4.6 petaflop<\/strong> seviyelerine \u00e7\u0131kararak <strong>y\u00fczde 77\u2019lik bir performans art\u0131\u015f\u0131<\/strong> sunuyor. Ayr\u0131ca yeni <strong>FP4 format\u0131<\/strong> ile tek bir MI355X, <strong>9.2 petaflop <\/strong>hesaplama g\u00fcc\u00fcne ula\u015fabiliyor. Bu say\u0131, Nvidia&#8217;n\u0131n <strong>Blackwell B200<\/strong> modeline \u00e7ok yak\u0131n ve biraz \u00fcst\u00fcnde bir de\u011fer. Nvidia&#8217;n\u0131n en g\u00fc\u00e7l\u00fc modeli olan GB200 <em>(iki Blackwell B200 GPU ve bir Grace CPU)<\/em>, 10 petaflop FP4 hesaplama sunarken, AMD&#8217;nin sundu\u011fu 288 GB bellek ise <strong>Nvidia&#8217;dan y\u00fczde 50 daha fazla kapasiteye<\/strong> sahip. <\/figure>\n<p>AMD ve Nvidia aras\u0131ndaki bu performans yar\u0131\u015f\u0131, yapay zeka hesaplamalar\u0131nda kimin lider olaca\u011f\u0131n\u0131 belirleyecek. Ancak sadece hesaplama g\u00fcc\u00fc de\u011fil, ayn\u0131 zamanda bellek kapasitesi ve bant geni\u015fli\u011fi gibi unsurlar da kritik rol oynuyor. Her iki h\u0131zland\u0131r\u0131c\u0131 da <strong>8 TB\/s bant geni\u015fli\u011fi <\/strong>sunacak.<\/p>\n<p>AMD, fiyatland\u0131rma konusunda net bir a\u00e7\u0131klama yapmasa da, \u015firketin amac\u0131 Toplam Sahip Olma Maliyeti (TCO) avantaj\u0131 sunmak. AMD, bu avantaj\u0131 daha iyi performans ya da daha d\u00fc\u015f\u00fck fiyatlarla sa\u011flamay\u0131 hedefliyor. MI355X, ka\u011f\u0131t \u00fczerinde olduk\u00e7a g\u00fc\u00e7l\u00fc g\u00f6r\u00fcn\u00fcyor ancak Nvidia\u2019n\u0131n Blackwell \u00e7\u00f6z\u00fcmleri bu y\u0131l\u0131n sonundan itibaren m\u00fc\u015fterilere sunulurken AMD ise yeni kart\u0131 2025\u2019in ikinci k\u0131sm\u0131 i\u00e7in hedefliyor.<\/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\/amd-cdna4-tabanli-instinct-mi355x-icin-ozellikleri-acikladi&#8211;183012<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>AMD, d\u00fczenledi\u011fi etkinlik kapsam\u0131nda yapay zeka h\u0131zland\u0131r\u0131c\u0131lar\u0131ndaki yeni ad\u0131m\u0131 olan Instinct MI355X&#8217;i resmi olarak duyurdu. \u015eirket, bu yeni nesil CDNA4 tabanl\u0131 h\u0131zland\u0131r\u0131c\u0131 ile g\u00fc\u00e7l\u00fc rakibi Nvidia&#8217;n\u0131n son modellerine meydan okumay\u0131 hedefliyor &#8230;<\/p>\n","protected":false},"author":1,"featured_media":105544,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[68,6864,449,164],"class_list":["post-105543","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-teknoloji","tag-amd","tag-hesaplama","tag-model","tag-nvidia"],"_links":{"self":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts\/105543","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=105543"}],"version-history":[{"count":1,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts\/105543\/revisions"}],"predecessor-version":[{"id":105549,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts\/105543\/revisions\/105549"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/media\/105544"}],"wp:attachment":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/media?parent=105543"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/categories?post=105543"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/tags?post=105543"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}