{"id":82841,"date":"2024-10-02T08:24:06","date_gmt":"2024-10-02T08:24:06","guid":{"rendered":"https:\/\/ekamu.net\/?p=82841"},"modified":"2024-10-02T08:24:06","modified_gmt":"2024-10-02T08:24:06","slug":"gigabyte-yapay-zekadan-guc-alan-anakartlarini-tanitti","status":"publish","type":"post","link":"https:\/\/ekamu.net\/index.php\/2024\/10\/02\/gigabyte-yapay-zekadan-guc-alan-anakartlarini-tanitti\/","title":{"rendered":"GIGABYTE, yapay zekadan g\u00fc\u00e7 alan anakartlar\u0131n\u0131 tan\u0131tt\u0131"},"content":{"rendered":"

<\/span> \u00d6nde gelen donan\u0131m \u00fcreticilerinden GIGABYTE, AM5 soketli yeni X870E ve X870<\/strong> serisi anakartlar\u0131n\u0131 \u00e7\u0131kard\u0131. Yeni GIGABYTE anakartlar, oyunculara, i\u00e7erik \u00fcreticilerine ve PC merakl\u0131lar\u0131na hitap eden yapay zeka (AI) h\u0131zland\u0131rmal\u0131 performans, geli\u015fmi\u015f termal y\u00f6netim ve iyile\u015ftirilmi\u015f ba\u011flant\u0131 \u00f6zellikleri sunuyor. <\/figure>\n

Gigabyt X870E ve X870 anakart \u00f6zellikleri<\/b><\/p>\n

Yeni anakartlar\u0131n temel \u00f6zelliklerinden biri, kullan\u0131c\u0131lar\u0131n belle\u011fi ve sistem performans\u0131n\u0131 art\u0131rmas\u0131na olanak tan\u0131yan yapay zeka destekli bir ara\u00e7 olan AORUS AI SNATCH<\/strong>. Bu teknoloji, h\u0131z a\u015f\u0131rtma i\u015flemini kolayla\u015ft\u0131r\u0131yor, sistem yan\u0131t h\u0131z\u0131n\u0131 optimize ediyor. Yeni GIGABYTE anakartlarlar, ayr\u0131ca 110A SPS’li20 fazl\u0131 g\u00fc\u00e7 tasar\u0131m\u0131ve 8 katmanl\u0131 sunucu s\u0131n\u0131f\u0131 PCB sayesinde 8600MT\/s’ye kadar h\u0131zlarda DDR5 bellek deste\u011fi <\/strong>sunuyor.<\/p>\n

GIGABYTE X870E\/X870 anakartlar, a\u011f\u0131r y\u00fck s\u0131ras\u0131nda sistem verimlili\u011fini korumak i\u00e7in DDR Wind Blade<\/strong> ve havaland\u0131rmal\u0131 arka panel <\/strong>gibi geli\u015fmi\u015f termal y\u00f6netim \u00e7\u00f6z\u00fcmleri i\u00e7eriyor. Bunlar, VRM ve M.2 termal \u00e7\u00f6z\u00fcmleriyle<\/strong> birlikte \u0131s\u0131y\u0131 etkili bir \u015fekilde da\u011f\u0131tmaya yard\u0131mc\u0131 olarak sistemi serin tutuyor.<\/p>\n

Gigabyte, yeni anakartlar\u0131nda kurulum ve bak\u0131m\u0131 kolayla\u015ft\u0131rd\u0131. So\u011futucuyu daha kolay takman\u0131z i\u00e7in M.2 EZ-Match, basitle\u015ftirilmi\u015f anten kurulumu i\u00e7in Wi-Fi EZ-Plug<\/strong> ve kolay ekran kart\u0131 kurulumu i\u00e7in PCIe EZ-Latch Plus<\/strong> mevcut.\u00a0EZ-Debug Zone<\/strong>, sorun giderme i\u00e7in LED g\u00f6stergelerine ve kontrol d\u00fc\u011fmelerine daha kolay eri\u015fim sa\u011fl\u0131yor. Y\u00fckseltilmi\u015f UC BIOS, \u00f6zelle\u015ftirilebilir temalar ve performans ayarlamalar\u0131yla yeniden tasarlanm\u0131\u015f bir kullan\u0131c\u0131 aray\u00fcz\u00fc sunuyor. AIO Fan Control\u00a0<\/strong>gibi \u00f6zellikler, kullan\u0131c\u0131lar\u0131n fan h\u0131zlar\u0131n\u0131 do\u011frudan BIOS \u00fczerinden y\u00f6netmesine olanak tan\u0131rken, Power Monitor<\/strong> ger\u00e7ek zamanl\u0131 CPU g\u00fc\u00e7 faz\u0131 takibine imkan veriyor.<\/p>\n

Ba\u011flant\u0131 a\u00e7\u0131s\u0131ndan, Gigabyte X870E\/X870 anakartlar, Wi-Fi 7, PCIe 5.0 depolama deste\u011fi ve 40 Gbps’e kadar aktar\u0131m h\u0131zlar\u0131na<\/strong> sahip \u00e7ift USB4 Type-C ba\u011flant\u0131 noktas\u0131yla donat\u0131lm\u0131\u015f.<\/p>\n

Gigabyte yeni X870E\/X870 anakartlar\u0131n\u0131n fiyat\u0131n\u0131 a\u00e7\u0131klamad\u0131.<\/p>\n\n

<\/span><\/p>\n

Kaynak :\u00a0https:\/\/www.donanimhaber.com\/gigabyte-x870e-x870-anakartlar-tanitildi-iste-ozellikleri–182586<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

\u00d6nde gelen donan\u0131m \u00fcreticilerinden GIGABYTE, AM5 soketli yeni X870E ve X870 serisi anakartlar\u0131n\u0131 \u00e7\u0131kard\u0131. Yeni GIGABYTE anakartlar, oyunculara, i\u00e7erik \u00fcreticilerine ve PC merakl\u0131lar\u0131na hitap eden yapay zeka (AI) h\u0131zland\u0131rmal\u0131 performans, geli\u015fmi\u015f …<\/p>\n","protected":false},"author":1,"featured_media":82842,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[121,745,1883],"class_list":["post-82841","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-teknoloji","tag-anakart","tag-hiz","tag-kolay"],"_links":{"self":[{"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/posts\/82841","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=82841"}],"version-history":[{"count":1,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/posts\/82841\/revisions"}],"predecessor-version":[{"id":82844,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/posts\/82841\/revisions\/82844"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/media\/82842"}],"wp:attachment":[{"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/media?parent=82841"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/categories?post=82841"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/tags?post=82841"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}