{"id":13161,"date":"2026-08-21T11:42:42","date_gmt":"2026-08-21T08:42:42","guid":{"rendered":"https:\/\/gtmteknoloji.com\/b2b\/supermicro-nun-yillik-depolama-zirvesi-21-ekosistem-ortagiyla-kurumsal-ai-altyapisinin-gelecegi-sekilleniyor\/"},"modified":"2026-08-21T11:42:42","modified_gmt":"2026-08-21T08:42:42","slug":"supermicro-nun-yillik-depolama-zirvesi-21-ekosistem-ortagiyla-kurumsal-ai-altyapisinin-gelecegi-sekilleniyor","status":"publish","type":"post","link":"https:\/\/gtmteknoloji.com\/b2b\/supermicro-nun-yillik-depolama-zirvesi-21-ekosistem-ortagiyla-kurumsal-ai-altyapisinin-gelecegi-sekilleniyor\/","title":{"rendered":"Supermicro A\u00e7\u0131k Depolama Zirvesi 2026: 21 Ortak, 12 Oturum \u2014 AI Altyap\u0131s\u0131nda Kurumsal Rehber"},"content":{"rendered":"

Etkinlik \u00d6zeti<\/h2>\n

Kurumsal AI Projeleri \u0130\u00e7in Altyap\u0131 Kararlar\u0131 Bu Zirvede \u015eekilleniyor<\/h2>\n

Yapay zeka i\u015f y\u00fckleri b\u00fcy\u00fcd\u00fck\u00e7e depolama, a\u011f ve veri y\u00f6netimi sistemleri \u00fczerindeki bask\u0131 da orant\u0131l\u0131 bi\u00e7imde art\u0131yor. GPU kullan\u0131m verimlili\u011fi, \u00e7\u0131kar\u0131m (inference) gecikmesi ve \u00f6l\u00e7eklenebilirlik; altyap\u0131 tercihlerini do\u011frudan etkileyen parametreler haline geldi. Bu gereksinimi kar\u015f\u0131lamak \u00fczere Supermicro, 7. A\u00e7\u0131k Depolama Zirvesi<\/strong>'ni theCUBE ortakl\u0131\u011f\u0131yla sanal platformda a\u00e7\u0131yor.<\/p>\n

Etkinlik 11 A\u011fustos \u2013 3 Eyl\u00fcl 2026<\/strong> tarihleri aras\u0131nda hem canl\u0131 yay\u0131n hem de iste\u011fe ba\u011fl\u0131 izleme format\u0131nda eri\u015fime sunuluyor.<\/p>\n

Rakamlarla Zirve<\/h3>\n
    \n
  • 21<\/strong> ekosistem orta\u011f\u0131<\/li>\n
  • 38<\/strong> sekt\u00f6r uzman\u0131<\/li>\n
  • 12<\/strong> teknik oturum<\/li>\n
  • 1<\/strong> sanal platform \u2014 canl\u0131 + ar\u015fiv eri\u015fimi<\/li>\n<\/ul>\n

    Kat\u0131l\u0131mc\u0131 firmalar aras\u0131nda AMD, Intel, IBM, KIOXIA, Solidigm, Western Digital, VAST Data, MinIO, Nutanix, Scality, DDN, Hammerspace, Crusoe<\/strong> ve Iron Mountain<\/strong> yer al\u0131yor. Donan\u0131m \u00fcreticilerinden ba\u011f\u0131ms\u0131z yaz\u0131l\u0131m sat\u0131c\u0131lar\u0131na, bulut operat\u00f6rlerine kadar geni\u015f bir ekosistemi kapsayan bu kadro; teorik de\u011fil, sahadan gelen uygulamal\u0131 bilgi sunuyor.<\/p>\n

    Oturum Konular\u0131<\/h2>\n

    12 Teknik Oturumda \u00d6ne \u00c7\u0131kan Ba\u015fl\u0131klar<\/h2>\n

    Zirve program\u0131, kurumsal AI da\u011f\u0131t\u0131m\u0131nda karar vericilerin g\u00fcndemine giren kritik konular\u0131 do\u011frudan ele al\u0131yor:<\/p>\n

      \n
    • \u00c7\u0131kar\u0131m Optimizasyonu:<\/strong> \u00dcretim ortam\u0131nda model servisini h\u0131zland\u0131ran depolama ve a\u011f mimarileri; gecikme ve maliyet dengesi<\/li>\n
    • Ajansal AI Altyap\u0131s\u0131:<\/strong> Otonom karar s\u00fcre\u00e7leri y\u00fcr\u00fcten AI ajanlar\u0131n\u0131n dinamik veri eri\u015fim gereksinimleri<\/li>\n
    • Hibrit Bulut Depolama Stratejileri:<\/strong> \u015eirket i\u00e7i kapasite ile genel bulut aras\u0131nda esnek ve tutarl\u0131 veri katman\u0131 tasar\u0131m\u0131<\/li>\n
    • Ba\u011flam Y\u00f6netimi ve Yap\u0131land\u0131r\u0131lmam\u0131\u015f Veri:<\/strong> B\u00fcy\u00fck dil modelleri ve \u00e7ok modlu sistemlerin verimli \u00e7al\u0131\u015fmas\u0131 i\u00e7in veri organizasyonu yakla\u015f\u0131mlar\u0131<\/li>\n
    • Neocloud Ortamlar\u0131:<\/strong> Yeni nesil AI odakl\u0131 bulut sa\u011flay\u0131c\u0131lar\u0131n i\u015f y\u00fck\u00fc optimizasyonu modelleri<\/li>\n
    • AI Veri Platformlar\u0131:<\/strong> Ham depolama kapasitesini stratejik veri varl\u0131\u011f\u0131na d\u00f6n\u00fc\u015ft\u00fcren platform de\u011ferlendirmeleri<\/li>\n<\/ul>\n

      Depolama Neden Art\u0131k Bir Mimari Karar?<\/h3>\n

      Geleneksel altyap\u0131 planlamas\u0131nda depolama; kapasite, maliyet ve yedekleme kriterleriyle de\u011ferlendirilirdi. Kurumsal AI d\u00f6neminde bu denklem de\u011fi\u015fti. Bug\u00fcn bir depolama sisteminin GPU'lar\u0131 do\u011fru bant geni\u015fli\u011finde besleyip besleyemedi\u011fi, \u00e7\u0131kar\u0131m s\u00fcre\u00e7lerinde darbo\u011faz yarat\u0131p yaratmad\u0131\u011f\u0131 ve g\u00fcvenilir bir AI ortam\u0131na zemin haz\u0131rlay\u0131p haz\u0131rlamad\u0131\u011f\u0131 sorgulan\u0131yor.<\/p>\n

      Kurumlar\u0131n veri t\u00fcketen<\/strong> konumdan veri \u00fcreten ve de\u011ferlendiren<\/strong> konuma ge\u00e7i\u015fi, depolama se\u00e7imini do\u011frudan AI stratejisinin bir par\u00e7as\u0131 haline getiriyor. Bu zirvede konu\u015fulan her oturum, bu ge\u00e7i\u015fin teknik ve operasyonel boyutlar\u0131n\u0131 ayr\u0131 ayr\u0131 ele al\u0131yor.<\/p>\n

      DCBBS Mimarisi<\/h2>\n

      Supermicro DCBBS: Mod\u00fcler AI Altyap\u0131s\u0131 \u00c7er\u00e7evesi<\/h2>\n

      Zirvenin teknik odak noktalar\u0131ndan biri Supermicro'nun Veri Merkezi Yap\u0131 Ta\u015f\u0131 \u00c7\u00f6z\u00fcmleri (DCBBS \u2014 Data Center Building Block Solutions)<\/strong> mimarisi. DCBBS; ekosistem ortaklar\u0131yla do\u011frulanm\u0131\u015f bile\u015fenlerden olu\u015fan, kademeli da\u011f\u0131t\u0131ma uygun mod\u00fcler bir AI altyap\u0131s\u0131 sunuyor.<\/p>\n

      DCBBS'in Bayi ve Kurumsal Al\u0131c\u0131lara Sa\u011flad\u0131\u011f\u0131 Avantajlar<\/h3>\n
        \n
      • Kademeli \u00d6l\u00e7eklendirme:<\/strong> Tekil sunucu kurulumundan tam raf ve veri merkezi \u00f6l\u00e7e\u011fine esnek b\u00fcy\u00fcme imk\u00e2n\u0131<\/li>\n
      • Do\u011frulanm\u0131\u015f Uyumluluk:<\/strong> 21 ekosistem orta\u011f\u0131yla birlikte test edilmi\u015f bile\u015fen kombinasyonlar\u0131 \u2014 entegrasyon riski minimize<\/li>\n
      • H\u0131zl\u0131 \u00dcretim Ge\u00e7i\u015fi:<\/strong> Pilot ortamdan canl\u0131 AI i\u015f y\u00fck\u00fcne ge\u00e7i\u015f s\u00fcresini k\u0131saltan yap\u0131sal tasar\u0131m<\/li>\n
      • TCO Optimizasyonu:<\/strong> Toplam sahip olma maliyetini d\u00fc\u015f\u00fcren mimari tercihler ve do\u011fru boyutland\u0131rma<\/li>\n<\/ul>\n

        Pilot'tan \u00dcretime Ge\u00e7i\u015fin Ger\u00e7ek Engeli<\/h3>\n

        AI projeleri pilot a\u015famada ba\u015far\u0131l\u0131 sonu\u00e7lar verse de tam \u00f6l\u00e7ekli \u00fcretime ta\u015f\u0131n\u0131rken ciddi diren\u00e7le kar\u015f\u0131la\u015f\u0131yor. Bu direncin temel kayna\u011f\u0131 genellikle model de\u011fil, altyap\u0131. GPU'lar\u0131 yeterli h\u0131zda besleyemeyen, y\u00fcksek kaliteli veri eri\u015fiminde gecikme ya\u015fayan ya da \u00f6l\u00e7eklendi\u011finde darbo\u011faz olu\u015fturan sistemler; AI yat\u0131r\u0131mlar\u0131n\u0131n beklenen i\u015f de\u011ferini \u00fcretmesini engelliyor.<\/p>\n

        Zirvede Crusoe ve Iron Mountain gibi uygulay\u0131c\u0131 firmalar, bu ge\u00e7i\u015f s\u00fcrecinde kar\u015f\u0131la\u015ft\u0131klar\u0131 ger\u00e7ek sorunlar\u0131 ve bulduklar\u0131 \u00e7\u00f6z\u00fcmleri aktaracak.<\/p>\n

        Bayi ve Kurumsal Al\u0131c\u0131lar \u0130\u00e7in Pratik \u00c7\u0131kt\u0131lar<\/h2>\n

        Etkinlik; altyap\u0131 mimarlar\u0131, sat\u0131n alma y\u00f6neticileri ve AI proje liderleri i\u00e7in somut fayda sunan bir i\u00e7erik format\u0131nda tasarland\u0131:<\/p>\n

          \n
        • Depolama ve a\u011f altyap\u0131s\u0131 se\u00e7iminde kar\u015f\u0131la\u015ft\u0131rmal\u0131 teknik perspektifler<\/li>\n
        • Farkl\u0131 \u00f6l\u00e7ekteki kurumlar i\u00e7in do\u011frulanm\u0131\u015f da\u011f\u0131t\u0131m modelleri<\/li>\n
        • Sat\u0131c\u0131 ba\u011f\u0131ms\u0131z de\u011ferlendirmeler ve ekosistem entegrasyonu \u00f6nerileri<\/li>\n
        • Talep \u00fczerine eri\u015fim \u2014 ekip i\u00e7i teknik de\u011ferlendirme s\u00fcre\u00e7lerine dahil edebilme<\/li>\n<\/ul>\n

          11 A\u011fustos'tan itibaren canl\u0131 yay\u0131nla ba\u015flayan etkinlik, 3 Eyl\u00fcl'e kadar ar\u015fiv format\u0131nda eri\u015filebilir durumda kal\u0131yor.<\/strong><\/p>\n

          Supermicro'nun A\u00e7\u0131k Depolama Zirvesi hangi konular\u0131 kaps\u0131yor?<\/h3>\n

          Etkinlik; AI \u00e7\u0131kar\u0131m\u0131 (inference), ajansal AI, hibrit bulut depolama, yap\u0131land\u0131r\u0131lmam\u0131\u015f veri y\u00f6netimi, ba\u011flam belle\u011fi ve neocloud altyap\u0131s\u0131 gibi kurumsal AI da\u011f\u0131t\u0131m\u0131n\u0131n kritik bile\u015fenlerini kapsayan 12 teknik oturumdan olu\u015fuyor.<\/p>\n

          AI altyap\u0131s\u0131nda depolama sistemleri neden bu kadar \u00f6nemli hale geldi?<\/h3>\n

          Modern AI sistemlerinde depolama, yaln\u0131zca veri saklamakla kalmay\u0131p GPU'lar\u0131 besleme h\u0131z\u0131, \u00e7\u0131kar\u0131m gecikmelerini minimize etme ve ba\u011flam y\u00f6netimi gibi kritik roller \u00fcstleniyor. Bu nedenle depolama mimarisi, do\u011frudan AI performans\u0131n\u0131 ve maliyet etkinli\u011fini etkileyen stratejik bir karar noktas\u0131na d\u00f6n\u00fc\u015fm\u00fc\u015f durumda.<\/p>\n

          Supermicro'nun DCBBS mimarisi kurumsal AI da\u011f\u0131t\u0131m\u0131nda ne sa\u011fl\u0131yor?<\/h3>\n

          DCBBS (Veri Merkezi Yap\u0131 Ta\u015f\u0131 \u00c7\u00f6z\u00fcmleri), do\u011frulanm\u0131\u015f bile\u015fenlerden olu\u015fan mod\u00fcler bir altyap\u0131 sunarak tekil sunuculardan tam veri merkezi \u00f6l\u00e7e\u011fine kadar esnek da\u011f\u0131t\u0131m imk\u00e2n\u0131 tan\u0131yor. Bu yakla\u015f\u0131m, organizasyonlar\u0131n AI pilot projelerini h\u0131zla \u00fcretime ta\u015f\u0131mas\u0131n\u0131 kolayla\u015ft\u0131r\u0131rken toplam sahip olma maliyetini de optimize ediyor.<\/p>\n","protected":false},"excerpt":{"rendered":"

          Supermicro, 11 A\u011fustos\u20133 Eyl\u00fcl 2026 tarihleri aras\u0131nda 7. A\u00e7\u0131k Depolama Zirvesi’ni \u00e7evrimi\u00e7i olarak d\u00fczenliyor. AMD, Intel, VAST Data, Nutanix ve 17 ekosistem orta\u011f\u0131ndan 38 uzman; AI \u00e7\u0131kar\u0131m\u0131, hibrit bulut, ajansal AI ve DCBBS mimarisi \u00fczerine kurumsal re<\/p>\n","protected":false},"author":1,"featured_media":13160,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[1],"tags":[],"class_list":["post-13161","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-genel"],"acf":[],"yoast_head":"\nSupermicro Depolama Zirvesi 2026 | AI Altyap\u0131s\u0131<\/title>\n<meta name=\"description\" content=\"Supermicro'nun 7. 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