{"id":111052,"date":"2025-11-18T10:56:15","date_gmt":"2025-11-18T10:56:15","guid":{"rendered":"https:\/\/ekamu.net\/?p=111052"},"modified":"2025-11-18T10:56:15","modified_gmt":"2025-11-18T10:56:15","slug":"arm-nvidianin-nvlink-fusion-ekosistemine-katildi","status":"publish","type":"post","link":"https:\/\/ekamu.net\/index.php\/2025\/11\/18\/arm-nvidianin-nvlink-fusion-ekosistemine-katildi\/","title":{"rendered":"Arm, Nvidia&#8217;n\u0131n NVLink Fusion ekosistemine kat\u0131ld\u0131"},"content":{"rendered":"<p><figure> <span> <img decoding=\"async\" src=\"https:\/\/ekamu.net\/wp-content\/uploads\/2025\/11\/arm-nvidianin-nvlink-fusion-ekosistemine-katildi-0-cFMHTVGq.jpg\"\/> <\/span> Supercomputing \u201925 etkinli\u011finde yap\u0131lan duyuruyla <strong>Arm<\/strong>\u2019\u0131n <strong>Nvidia<\/strong>\u2019n\u0131n <strong>NVLink Fusion<\/strong> ekosisteminin resmi olarak kat\u0131ld\u0131\u011f\u0131 a\u00e7\u0131kland\u0131. Arm\u2019\u0131n bu yap\u0131ya kat\u0131lmas\u0131, teknolojiyi art\u0131k iki b\u00fcy\u00fck mikro\u00admimari geli\u015ftiricisi ve toplamda d\u00f6rt CPU \u00fcreticisinin destekledi\u011fi yeni bir a\u015famaya ta\u015f\u0131yor. <\/figure>\n<p><b>Arm i\u00e7in faydalar\u0131 \u00e7ok b\u00fcy\u00fck<\/b><\/p>\n<p>Bu ad\u0131m, Arm tabanl\u0131 i\u015flemcilerin Nvidia\u2019n\u0131n GPU ve AI h\u0131zland\u0131r\u0131c\u0131lar\u0131yla do\u011frudan, y\u00fcksek bant geni\u015flikli ve tutarl\u0131 ileti\u015fim kurabilece\u011fi anlam\u0131na geliyor. B\u00f6ylece Arm m\u00fc\u015fterileri ilk kez Nvidia\u2019n\u0131n Grace d\u0131\u015f\u0131ndaki GPU\u2019larla NVLink \u00fczerinden b\u00fct\u00fcnle\u015febilen sunucu i\u015flemcileri geli\u015ftirebilecek.<\/p>\n<p>Nvidia Veri Merkezi \u00dcr\u00fcn Pazarlama Ba\u015fkan\u0131 Dion Harris, Arm\u2019\u0131n mimarilerine yerle\u015ftirilen NVLink IP\u2019sinin \u00f6zelle\u015ftirilmi\u015f CPU-SoC \u00e7\u00f6z\u00fcmlerinin daha h\u0131zl\u0131, daha d\u00fc\u015f\u00fck maliyetle ve daha d\u00fc\u015f\u00fck karma\u015f\u0131kl\u0131kla geli\u015ftirilebilmesini m\u00fcmk\u00fcn k\u0131ld\u0131\u011f\u0131n\u0131 vurgulad\u0131. Arm\u2019\u0131n geni\u015f i\u015f alan\u0131 g\u00f6z \u00f6n\u00fcne al\u0131nd\u0131\u011f\u0131nda NVLink Fusion deste\u011fi \u015firket i\u00e7in \u00fc\u00e7 ayr\u0131 boyutta stratejik de\u011fer ta\u015f\u0131yor. IP sa\u011flay\u0131c\u0131 kimli\u011fiyle Arm, veri merkezi pazar\u0131nda <strong>Nvidia GPU\u2019lar\u0131na yerel uyumluluk<\/strong> sa\u011flayan CPU tasar\u0131mlar\u0131 sunabilen <strong>tek geni\u015f \u00f6l\u00e7ekli alternati<\/strong>f haline geliyor.<\/p>\n<figure> <span> <img decoding=\"async\" src=\"https:\/\/ekamu.net\/wp-content\/uploads\/2025\/11\/arm-nvidianin-nvlink-fusion-ekosistemine-katildi-1-4peuetP4.jpg\"\/> <\/span> Bu durum, Arm mimarisini dev veri merkezleri i\u00e7in \u00e7ok daha cazip k\u0131l\u0131yor. Zira bug\u00fcne kadar NVLink tabanl\u0131 GPU ba\u011flanabilirli\u011fine sahip <strong>tek i\u015flemci ailesi Grace idi<\/strong>. Yeni d\u00f6nemde Arm lisans\u0131na sahip olanlar (Google, Meta, Microsoft gibi) kendi veri merkezi \u00e7iplerinde ayn\u0131 entegrasyonu ger\u00e7ekle\u015ftirebilecek. Bilindi\u011fi gibi bu firmalar da ARM tabanl\u0131 kendi i\u015flemcilerini geli\u015ftiriyor. <\/figure>\n<p>Arm, ayn\u0131 zamanda kendi sunucu s\u0131n\u0131f\u0131 i\u015flemcilerini geli\u015ftiren bir \u015firket. NVLink Fusion\u2019\u0131n yerel entegrasyonu sayesinde Arm\u2019\u0131n gelecekteki kurumsal CPU\u2019lar\u0131, Nvidia tabanl\u0131 sistemlerde Grace ve Vera ile oldu\u011fu kadar Intel Xeon ile de do\u011frudan rekabet edebilecek konuma geliyor.<\/p>\n<p>NVLink Fusion deste\u011fi, Arm\u2019\u0131n ISA lisans sa\u011flay\u0131c\u0131 olarakkonumunu da g\u00fc\u00e7lendirecek. NVLink yap\u0131s\u0131 \u00fczerinden Nvidia GPU\u2019lar\u0131yla do\u011fal uyumluluk, Arm tabanl\u0131 tasar\u0131mlar\u0131 PCIe ile s\u0131n\u0131rl\u0131 alternatiflere g\u00f6re daha gelece\u011fe d\u00f6n\u00fck hale getiriyor. Bu avantaj, <strong>x86 ve RISC-V<\/strong> gibi rakip mimariler i\u00e7in k\u0131sa vadede eri\u015filmesi zor bir e\u015fik.<\/p>\n<p><b>Nvidia\u2019dan stratejik hamle<\/b><\/p>\n<p>Nvidia a\u00e7\u0131s\u0131ndan bak\u0131ld\u0131\u011f\u0131nda Arm\u2019\u0131n ekosisteme dahil olmas\u0131, \u015firketin kendi CPU\u2019lar\u0131n\u0131 \u00fcretmek zorunda kalmadan NVLink uyumlu i\u015flemci havuzunu dramatik \u00f6l\u00e7\u00fcde geni\u015fletmesini sa\u011fl\u0131yor. Arm lisansl\u0131 \u00f6zel SoC\u2019lar\u0131n NVLink\u2019i do\u011frudan b\u00fcnyesine katabilmesi Nvidia GPU\u2019lar\u0131n\u0131 merkez alan gelecekteki sunucular\u0131n neredeyse tamam\u0131n\u0131n Arm tabanl\u0131 \u00e7\u00f6z\u00fcmlerle uyumlu olaca\u011f\u0131 anlam\u0131na geliyor. Bu durum, hem <strong>UALink<\/strong> gibi a\u00e7\u0131k alternatiflerin cazibesini hem de AMD, Broadcom ve Tenstorrent gibi <strong>rakip h\u0131zland\u0131r\u0131c\u0131 ekosistemlerinin etkisini azaltabilir<\/strong>. Ayr\u0131ca, egemen AI projelerinde Arm CPU tercih eden h\u00fck\u00fcmetler veya bulut sa\u011flay\u0131c\u0131lar i\u00e7in de Nvidia \u00e7\u00f6z\u00fcmlerinin \u00e7ok daha kolay benimsenmesini sa\u011fl\u0131yor.<\/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\/arm-nvidia-nin-nvlink-fusion-ekosistemine-katildi&#8211;198689<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Supercomputing \u201925 etkinli\u011finde yap\u0131lan duyuruyla Arm\u2019\u0131n Nvidia\u2019n\u0131n NVLink Fusion ekosisteminin resmi olarak kat\u0131ld\u0131\u011f\u0131 a\u00e7\u0131kland\u0131. Arm\u2019\u0131n bu yap\u0131ya kat\u0131lmas\u0131, teknolojiyi art\u0131k iki b\u00fcy\u00fck mikro\u00admimari geli\u015ftiricisi ve toplamda d\u00f6rt CPU \u00fcreticisinin &#8230;<\/p>\n","protected":false},"author":1,"featured_media":111053,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[524,523,90,284,6587],"class_list":["post-111052","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-teknoloji","tag-arm","tag-gpu","tag-is","tag-nvidia","tag-nvlink"],"_links":{"self":[{"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/posts\/111052","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=111052"}],"version-history":[{"count":1,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/posts\/111052\/revisions"}],"predecessor-version":[{"id":111056,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/posts\/111052\/revisions\/111056"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/media\/111053"}],"wp:attachment":[{"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/media?parent=111052"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/categories?post=111052"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/tags?post=111052"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}