{"id":13189,"date":"2026-08-22T20:43:39","date_gmt":"2026-08-22T17:43:39","guid":{"rendered":"https:\/\/gtmteknoloji.com\/b2b\/?p=13189"},"modified":"2026-08-23T21:33:17","modified_gmt":"2026-08-23T18:33:17","slug":"nvidia-gb10-ai-cluster","status":"publish","type":"post","link":"https:\/\/gtmteknoloji.com\/b2b\/nvidia-gb10-ai-cluster\/","title":{"rendered":"NVIDIA GB10 AI Cluster ile D\u00fc\u015f\u00fck G\u00fc\u00e7 T\u00fcketimli Kurumsal Altyap\u0131"},"content":{"rendered":"\n<style data-wp-block-html=\"css\">\n.gtm-gb10-post {\n  width: 100% !important;\n  max-width: 100% !important;\n  margin: 0 auto !important;\n  padding: 10px 0 60px !important;\n  position: static !important;\n  transform: none !important;\n  left: auto !important;\n  right: auto !important;\n  color: #1e293b;\n  font-family: -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Helvetica, Arial, sans-serif;\n  font-size: 16px;\n  line-height: 1.7;\n  overflow: hidden;\n}\n\n.gtm-gb10-post 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 margin-top: 10px;\n    font-size: 11.5px;\n  }\n\n  .gtm-gb10-section {\n    margin-bottom: 20px !important;\n    padding: 25px 0 !important;\n  }\n\n  .gtm-gb10-section .gtm-gb10-image,\n  .gtm-gb10-section.gtm-gb10-reverse .gtm-gb10-image {\n    float: none !important;\n    width: 100% !important;\n    margin: 0 0 20px 0 !important;\n  }\n\n  .gtm-gb10-image img {\n    width: 100% !important;\n    height: auto !important;\n  }\n\n  .gtm-gb10-image span {\n    font-size: 11px;\n  }\n\n  .gtm-gb10-content h2 {\n    font-size: 21px !important;\n  }\n\n  .gtm-gb10-content p {\n    font-size: 14px;\n  }\n\n  .gtm-gb10-stats {\n    display: grid !important;\n    grid-template-columns: 1fr !important;\n    gap: 8px !important;\n  }\n\n  .gtm-gb10-stats div {\n    width: 100%;\n    min-width: 0;\n  }\n\n  .gtm-gb10-business-grid {\n    grid-template-columns: 1fr !important;\n    gap: 10px !important;\n  }\n\n  .gtm-gb10-flow {\n    gap: 8px;\n  }\n\n  .gtm-gb10-cta {\n    flex-direction: column;\n    align-items: stretch;\n    gap: 17px;\n    padding: 22px 18px !important;\n  }\n\n  .gtm-gb10-cta a {\n    width: 100%;\n    justify-content: center;\n  }\n\n  .gtm-gb10-product-link {\n    font-size: 12px;\n  }\n\n  .gtm-gb10-source {\n    align-items: flex-start;\n    flex-direction: column;\n    gap: 4px;\n  }\n\n  .gtm-gb10-stats div:hover,\n  .gtm-gb10-business-grid div:hover {\n    transform: none;\n  }\n}\n\n@media (max-width: 480px) {\n  .gtm-gb10-hero h1 {\n    font-size: 27px !important;\n  }\n\n  .gtm-gb10-intro {\n    font-size: 14px;\n  }\n\n  .gtm-gb10-image img {\n    width: 100% !important;\n    height: auto !important;\n  }\n\n  .gtm-gb10-content h2,\n  .gtm-gb10-wide h2,\n  .gtm-gb10-business h2,\n  .gtm-gb10-conclusion h2 {\n    font-size: 20px !important;\n  }\n\n  .gtm-gb10-content p,\n  .gtm-gb10-wide p,\n  .gtm-gb10-business p,\n  .gtm-gb10-conclusion p {\n    font-size: 13.5px;\n  }\n\n  .gtm-gb10-image:hover img {\n    transform: none;\n    box-shadow: none;\n  }\n}\n<\/style>\n\n<article class=\"gtm-gb10-post\">\n\n  <header class=\"gtm-gb10-hero\">\n    <div class=\"gtm-gb10-kicker\">YAPAY ZEKA \u00b7 KURUMSAL AI ALTYAPISI \u00b7 B2B<\/div>\n\n    <h1>\n      NVIDIA GB10 AI Cluster ile\n      <span> D\u00fc\u015f\u00fck G\u00fc\u00e7 T\u00fcketimli Kurumsal Altyap\u0131<\/span>\n    <\/h1>\n\n    <p class=\"gtm-gb10-intro\">\n      Geli\u015fmi\u015f GB10 AI Cluster mimarisi, veri merkezlerinde y\u00fcksek verimlili\u011fin temelini at\u0131yor. \u00d6zellikle bu mod\u00fcler yap\u0131, \u015firketlere b\u00fcy\u00fck bir esneklik sa\u011fl\u0131yor. B\u00f6ylece kurumlar, do\u011frudan kendi ihtiya\u00e7lar\u0131na g\u00f6re \u00f6l\u00e7eklenen bir altyap\u0131 tasarlayabiliyor. \u00dcstelik bu yenilik\u00e7i yakla\u015f\u0131m, sistemin genel enerji t\u00fcketimini ciddi oranda dengeliyor. Sonu\u00e7ta y\u00fcksek bellek kapasitesine ula\u015fmak \u00e7ok daha kolay hale geliyor.\n    <\/p>\n\n    <div class=\"gtm-gb10-meta\">\n      GTM Teknoloji B2B \u00b7 Altyap\u0131 ve Sistem \u00c7\u00f6z\u00fcmleri\n    <\/div>\n  <\/header>\n\n  <section class=\"gtm-gb10-section\">\n    <div class=\"gtm-gb10-image\">\n      <img decoding=\"async\" src=\"https:\/\/gtmteknoloji.com\/b2b\/wp-content\/uploads\/2026\/08\/nvidia-dgx-spark-4lu-cluster-200g-dac-gtm-teknoloji.webp\" alt=\"NVIDIA DGX Spark GB10 AI Cluster\" loading=\"eager\">\n      <span>Birden fazla GB10 d\u00fc\u011f\u00fcm\u00fcn\u00fcn birlikte \u00e7al\u0131\u015farak yakla\u015f\u0131k 1 TB toplam bellek kapasitesine ula\u015ft\u0131\u011f\u0131 AI cluster mimarisi<\/span>\n    <\/div>\n\n    <div class=\"gtm-gb10-content\">\n      <div class=\"gtm-gb10-number\">01<\/div>\n      <div class=\"gtm-gb10-label\">COMPUTE FABRIC<\/div>\n\n      <h2>\n        Yeni Nesil NVIDIA GB10 AI Cluster\n        <strong>D\u00fc\u011f\u00fcmleri ve Birle\u015fik G\u00fc\u00e7<\/strong>\n      <\/h2>\n      \n      <h3>Esnek ve G\u00fc\u00e7l\u00fc Mimari<\/h3>\n\n      <p>\n        Donan\u0131m taraf\u0131nda GB10 sistemleri, kurumlara yapay zeka i\u00e7in muazzam bir hesaplama kapasitesi sunuyor. \u00d6rne\u011fin, tek bir DGX Spark \u00fcnitesi olduk\u00e7a g\u00fc\u00e7l\u00fc donan\u0131mlara sahip. Nitekim cihaz b\u00fcnyesinde 20 \u00e7ekirdekli Arm i\u015flemci yer al\u0131yor. Ayr\u0131ca sistem, 128 GB birle\u015fik LPDDR5X bellek bar\u0131nd\u0131r\u0131yor.\n      <\/p>\n\n      <p>\n        Buna ek olarak, birden fazla d\u00fc\u011f\u00fcm kusursuzca senkronize \u00e7al\u0131\u015fabiliyor. \u00c7\u00fcnk\u00fc bu cihazlar, y\u00fcksek h\u0131zl\u0131 a\u011f altyap\u0131s\u0131 \u00fczerinden birbirine ba\u011flan\u0131yor. Dolay\u0131s\u0131yla y\u00f6neticiler, devasa yapay zek\u00e2 modellerini tamamen da\u011f\u0131t\u0131k olarak \u00e7al\u0131\u015ft\u0131rabiliyor. Nihayetinde BT ekipleri, sunucu altyap\u0131lar\u0131n\u0131 kurumun ihtiyac\u0131 do\u011frultusunda h\u0131zla b\u00fcy\u00fctebiliyor.\n      <\/p>\n\n      <div class=\"gtm-gb10-stats\">\n        <div>\n          <strong>128 GB<\/strong>\n          <span>D\u00fc\u011f\u00fcm Ba\u015f\u0131na Birle\u015fik Bellek<\/span>\n        <\/div>\n\n        <div>\n          <strong>20 Core<\/strong>\n          <span>Arm Neoverse Mimarisi<\/span>\n        <\/div>\n\n        <div>\n          <strong>GB10<\/strong>\n          <span>Grace Blackwell Altyap\u0131s\u0131<\/span>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/section>\n\n  <section class=\"gtm-gb10-section gtm-gb10-reverse\">\n    <div class=\"gtm-gb10-image\">\n      <img decoding=\"async\" src=\"https:\/\/gtmteknoloji.com\/b2b\/wp-content\/uploads\/2026\/08\/nvidia-dgx-spark-3lu-ring-cluster-gtm-teknoloji.webp\" alt=\"NVIDIA DGX Spark GB10 network cluster\" loading=\"lazy\">\n      <span>ConnectX-7 ve RoCEv2 destekli d\u00fc\u015f\u00fck gecikmeli kurumsal switch mimarisi<\/span>\n    <\/div>\n\n    <div class=\"gtm-gb10-content\">\n      <div class=\"gtm-gb10-number\">02<\/div>\n      <div class=\"gtm-gb10-label\">INTERCONNECT &amp; FABRIC<\/div>\n\n      <h2>\n        GB10 A\u011f\u0131nda\n        <strong>Y\u00fcksek H\u0131zl\u0131 Ara Ba\u011flant\u0131<\/strong>\n      <\/h2>\n      \n      <h3>Kesintisiz Veri Ak\u0131\u015f\u0131<\/h3>\n\n      <p>\n        B\u00fcy\u00fck AI modellerinde cihazlar aras\u0131 ileti\u015fim, \u00e7ok kritik bir rol oynuyor. Zira ya\u015fanabilecek olas\u0131 veri darbo\u011fazlar\u0131, yapay zekan\u0131n \u00e7\u0131kar\u0131m h\u0131z\u0131n\u0131 do\u011frudan d\u00fc\u015f\u00fcr\u00fcyor. Bununla birlikte bu gecikmeler, donan\u0131m\u0131n genel performans\u0131n\u0131 olumsuz y\u00f6nde etkiliyor. Bu nedenle yapay zeka projeleri, g\u00fc\u00e7l\u00fc bir a\u011f omurgas\u0131 gerektiriyor.\n      <\/p>\n\n      <p>\n        \u0130\u015fte burada ConnectX-7 adapt\u00f6rleri devreye girerek m\u00fckemmel bir \u00e7\u00f6z\u00fcm sunuyor. Bilhassa yeni nesil a\u011f altyap\u0131s\u0131, devasa bant geni\u015flikli k\u00f6pr\u00fcler kuruyor. Di\u011fer yandan RDMA ve RoCE teknolojileri, veri aktar\u0131m s\u00fcre\u00e7lerini optimize ediyor. B\u00f6ylelikle donan\u0131mlar, a\u011f \u00fczerindeki i\u015flemci (CPU) y\u00fck\u00fcn\u00fc ba\u015far\u0131yla minimuma indiriyor. Sonu\u00e7 olarak kurumlar, sunucular aras\u0131nda kay\u0131ps\u0131z bir ileti\u015fim a\u011f\u0131 in\u015fa ediyor.\n      <\/p>\n\n      <div class=\"gtm-gb10-tech\">\n        <span>ConnectX-7<\/span>\n        <strong>200 Gbps<\/strong>\n        <span>D\u00fc\u015f\u00fck Gecikmeli RDMA Fabric<\/span>\n      <\/div>\n    <\/div>\n  <\/section>\n\n  <section class=\"gtm-gb10-wide\">\n    <div class=\"gtm-gb10-label\">03 \u00b7 DATA LAYER<\/div>\n\n    <h2>\n      Merkezi All-Flash\n      <strong>Kurumsal Depolama Katman\u0131<\/strong>\n    <\/h2>\n    \n    <h3>Ortak Veri Havuzu Mant\u0131\u011f\u0131<\/h3>\n\n    <p>\n      Devasa dil modellerini her d\u00fc\u011f\u00fcme ayr\u0131 ayr\u0131 kopyalamak, b\u00fcy\u00fck kaynak israf\u0131 yarat\u0131yor. Ancak verimsizli\u011fi \u00f6nlemek i\u00e7in merkezi bir depolama katman\u0131 konumland\u0131rabilirsiniz. \u00d6zetle bu hamle, operasyon y\u00f6netimini son derece pratik bir standarda kavu\u015fturuyor.\n    <\/p>\n\n    <p>\n      Mesela, NVMe mimarisine sahip QNAP TS-h1290FX gibi cihazlar olduk\u00e7a pop\u00fcler. Sebebi ise bu All-Flash sistemlerin, donan\u0131m havuzunda \u00e7ok y\u00fcksek IOPS de\u011ferleri \u00fcretmesidir. B\u00f6ylece k\u00fcmedeki b\u00fct\u00fcn cihazlar, ortak veri havuzuna an\u0131nda eri\u015fim sa\u011fl\u0131yor. K\u0131sacas\u0131 BT ekipleri, donan\u0131m ve depolama s\u00fcre\u00e7lerini b\u00fcy\u00fck \u00f6l\u00e7\u00fcde sadele\u015ftiriyor. Ayn\u0131 zamanda uzmanlar, yapay zeka model dosyalar\u0131na eri\u015fim s\u00fcrelerini de k\u0131salt\u0131yor.\n    <\/p>\n\n    <div class=\"gtm-gb10-flow\">\n      <span>COMPUTE D\u00dc\u011e\u00dcMLER\u0130<\/span>\n      <i>\u2192<\/i>\n      <span>RDMA FABRIC<\/span>\n      <i>\u2192<\/i>\n      <span>ALL-FLASH NVME STORAGE<\/span>\n    <\/div>\n  <\/section>\n\n  <section class=\"gtm-gb10-section\">\n    <div class=\"gtm-gb10-image\">\n      <img decoding=\"async\" src=\"https:\/\/gtmteknoloji.com\/b2b\/wp-content\/uploads\/2026\/06\/Nvidia-DGX-Spark-Cluster-gtm-teknoloji.webp\" alt=\"NVIDIA DGX Spark AI Cluster\" loading=\"lazy\">\n      <span>8 D\u00fc\u011f\u00fcml\u00fc GB10 mimarisi: 1 TB toplam bellek ve 160 \u00e7ekirdek<\/span>\n    <\/div>\n\n    <div class=\"gtm-gb10-content\">\n      <div class=\"gtm-gb10-number\">04<\/div>\n      <div class=\"gtm-gb10-label\">\u00d6L\u00c7EKLENEB\u0130L\u0130R TOPOLOJ\u0130<\/div>\n\n      <h2>\n        Verimli 8 D\u00fc\u011f\u00fcml\u00fc NVIDIA GB10 AI Cluster ile\n        <strong>TCO Avantaj\u0131<\/strong>\n      <\/h2>\n\n      <p>\n        Sistem topolojisindeki cihaz say\u0131s\u0131 artt\u0131k\u00e7a, g\u00fc\u00e7 verimlili\u011fi kritik bir parametreye d\u00f6n\u00fc\u015f\u00fcyor. Bunun yan\u0131nda \u015firketler, so\u011futma maliyetlerini de dikkat edilmesi gereken bir unsur say\u0131yor. Nitekim ServeTheHome platformu, yak\u0131n zamanda 8 d\u00fc\u011f\u00fcml\u00fc referans testleri ger\u00e7ekle\u015ftirdi. Ard\u0131ndan uzmanlar, bu testlerde g\u00fc\u00e7l\u00fc GB10 sistemlerini ba\u015far\u0131l\u0131 bir \u015fekilde birle\u015ftirdi. Sonunda ara\u015ft\u0131rmac\u0131lar, yakla\u015f\u0131k 1 TB toplam bellek kapasitesini sorunsuzca elde etti.\n      <\/p>\n\n      <h3>Enerji Verimlili\u011fi ve G\u00fc\u00e7 T\u00fcketimi<\/h3>\n\n      <p>\n        Kurdu\u011fumuz bu devasa hesaplama k\u00fcmesi, tam y\u00fck alt\u0131nda bile az g\u00fc\u00e7 t\u00fcketiyor. Kesinlikle biliyoruz ki ortalama t\u00fcketim sadece 950W civar\u0131nda kal\u0131yor. Sonu\u00e7ta sistem, y\u00fcksek AI performans\u0131n\u0131 \u00e7ok d\u00fc\u015f\u00fck enerji gereksinimiyle uyum i\u00e7inde birle\u015ftiriyor. Nihayetinde modern i\u015fletmeler i\u00e7in tamamen b\u00fct\u00e7e dostu bir altyap\u0131 ortaya \u00e7\u0131k\u0131yor.\n      <\/p>\n\n      <div class=\"gtm-gb10-highlight\">\n        <strong>8 \u00d7 GB10 Entegrasyonu<\/strong>\n        <span>Yakla\u015f\u0131k 1 TB Toplam Bellek Kapasitesi, 160 Arm CPU \u00c7ekirde\u011fi ve B\u00fcy\u00fck Model \u0130\u015f Y\u00fcklerinde Yakla\u015f\u0131k 950W G\u00fc\u00e7 T\u00fcketimi<\/span>\n      <\/div>\n\n      <a class=\"gtm-gb10-product-link\" href=\"https:\/\/gtmteknoloji.com\/b2b\/magaza\/?use_case=llm-inference\" target=\"_blank\" rel=\"noopener noreferrer\">\n        NVIDIA DGX Spark ve GB10 \u00e7\u00f6z\u00fcmlerini inceleyin\n        <span>\u2192<\/span>\n      <\/a>\n    <\/div>\n  <\/section>\n\n  <section class=\"gtm-gb10-business\">\n    <div class=\"gtm-gb10-label\">05 \u00b7 B2B PERSPEKT\u0130F\u0130<\/div>\n\n    <h2>\n      Yerel Yapay Zek\u00e2da\n      <strong>U\u00e7tan Uca Kurumsal \u00c7\u00f6z\u00fcm<\/strong>\n    <\/h2>\n    \n    <h3>B\u00fct\u00fcnsel Yakla\u015f\u0131m<\/h3>\n\n    <p>\n      GTM Teknoloji m\u00fchendislik ekibi, AI d\u00f6n\u00fc\u015f\u00fcm s\u00fcrecini tek bir donan\u0131mla s\u0131n\u0131rland\u0131rm\u0131yor. Aksine ekibimiz, kurumsal mimariyi tasarlarken t\u00fcm birimleri bir b\u00fct\u00fcn halinde de\u011ferlendiriyor. Hatta uzmanlar\u0131m\u0131z; i\u015flemci, a\u011f ve depolama katmanlar\u0131n\u0131 ayn\u0131 anda detayl\u0131ca analiz ediyor. Bu sayede m\u00fchendislerimiz, \u015firketlerin spesifik beklentilerine tam uyum sa\u011flayan ak\u0131ll\u0131 altyap\u0131lar planl\u0131yor.\n    <\/p>\n\n    <p>\n      Ayr\u0131ca baz\u0131 kurumlar, veri g\u00fcvenli\u011fi endi\u015fesiyle hassas belgelerini d\u0131\u015far\u0131 aktarmaktan ka\u00e7\u0131n\u0131yor. \u0130\u015fte bu noktada on-premise (yerel) yapay zeka \u00e7\u00f6z\u00fcmleri b\u00fcy\u00fck \u00f6nem ta\u015f\u0131yor. \u00d6ncelikle proje ba\u015flang\u0131c\u0131nda uzmanlar\u0131m\u0131z, organizasyonun mevcut i\u015f y\u00fcklerini detayl\u0131ca inceliyor. Daha sonra ekibimiz, gelecekteki b\u00fcy\u00fcme senaryolar\u0131n\u0131 da kapasite planlamas\u0131na \u00f6zenle dahil ediyor. En sonunda markam\u0131z, kurumun dinamiklerine optimize edilmi\u015f g\u00fcvenli cluster topolojileri kuruyor.\n    <\/p>\n\n    <div class=\"gtm-gb10-business-grid\">\n      <div>\n        <strong>\u00d6l\u00e7eklenebilir Hesaplama<\/strong>\n        <span>Blackwell &amp; Grace tabanl\u0131 d\u00fc\u011f\u00fcm mimarisi<\/span>\n      <\/div>\n\n      <div>\n        <strong>Y\u00fcksek H\u0131zl\u0131 Fabric<\/strong>\n        <span>ConnectX-7 ile kay\u0131ps\u0131z RDMA ara ba\u011flant\u0131lar\u0131<\/span>\n      <\/div>\n\n      <div>\n        <strong>Merkezi Veri Y\u00f6netimi<\/strong>\n        <span>All-Flash NVMe ile d\u00fc\u015f\u00fck gecikmeli model eri\u015fimi<\/span>\n      <\/div>\n    <\/div>\n  <\/section>\n\n  <section class=\"gtm-gb10-conclusion\">\n    <div class=\"gtm-gb10-label\">SON DE\u011eERLEND\u0130RME<\/div>\n\n    <h2>\n      Yenilik\u00e7i NVIDIA GB10 AI Cluster Mimarisi ile\n      <strong>Yat\u0131r\u0131m\u0131n\u0131z\u0131 Koruyun<\/strong>\n    <\/h2>\n\n    <p>\n      Bahsedilen bu teknolojik mimari, i\u015fletmelere olduk\u00e7a rekabet\u00e7i bir donan\u0131m alternatifi kazand\u0131r\u0131yor. Bunun en b\u00fcy\u00fck nedeni, sistemin sundu\u011fu minimum g\u00fc\u00e7 t\u00fcketimi avantaj\u0131d\u0131r. Ek olarak y\u00fcksek bellek bant geni\u015fli\u011fi de donan\u0131ma ciddi bir de\u011fer kat\u0131yor. B\u00f6ylelikle yap\u0131, b\u00fcy\u00fck dil modelleri (LLM) i\u00e7in kolayca geni\u015fletilebilen bir ekosistem sunuyor.\n    <\/p>\n\n    <p>\n      Tam bu noktada ekiplerimiz, kurumunuzun vizyonuna tamamen uyumlu ad\u0131mlar at\u0131yor. Hatta i\u015fletmenizin donan\u0131m hedeflerine ve siber g\u00fcvenlik standartlar\u0131na uygun tasar\u0131mlar yap\u0131yor. K\u0131sacas\u0131 uzmanlar\u0131m\u0131z, u\u00e7tan uca AI altyap\u0131s\u0131n\u0131 sizin ad\u0131n\u0131za \u00f6zenle projelendiriyor.\n    <\/p>\n  <\/section>\n\n  <section class=\"gtm-gb10-cta\">\n    <div class=\"gtm-gb10-cta-content\">\n      <div class=\"gtm-gb10-cta-label\">GTM TEKNOLOJ\u0130 \u00b7 B2B AI \u00c7\u00d6Z\u00dcMLER\u0130<\/div>\n\n      <h2>G\u00fc\u00e7l\u00fc AI altyap\u0131n\u0131z\u0131 kurumunuza \u00f6zel tasarlayal\u0131m.<\/h2>\n\n      <p>\n        NVIDIA GPU k\u00fcmeleri ve kurumsal a\u011f yap\u0131land\u0131rmalar\u0131 hakk\u0131nda profesyonellerimizden bilgi alabilirsiniz. Ayr\u0131ca modern veri depolama \u00e7\u00f6z\u00fcmleri i\u00e7in hemen bizimle ileti\u015fime ge\u00e7in.\n      <\/p>\n    <\/div>\n\n    <a href=\"https:\/\/gtmteknoloji.com\/b2b\/iletisim\/\">\n      \u0130leti\u015fime Ge\u00e7in\n      <span>\u2192<\/span>\n    <\/a>\n  <\/section>\n\n  <footer class=\"gtm-gb10-source\">\n    <strong>Kaynak:<\/strong>\n\n    <a href=\"https:\/\/www.servethehome.com\/big-cluster-little-power-the-8x-nvidia-gb10-cluster-marvell-cisco-ubiquiti-qnap-arm\/\" target=\"_blank\" rel=\"noopener noreferrer\">\n      ServeTheHome \u00b7 8\u00d7 NVIDIA GB10 Cluster Architecture Analysis\n    <\/a>\n  <\/footer>\n\n<\/article>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>NVIDIA GB10 AI Cluster, d\u00fc\u015f\u00fck g\u00fc\u00e7 t\u00fcketimi, y\u00fcksek bellek kapasitesi ve \u00f6l\u00e7eklenebilir yap\u0131s\u0131yla kurumsal AI altyap\u0131lar\u0131 i\u00e7in g\u00fc\u00e7l\u00fc bir alternatif sunar. GB10 cluster, ConnectX-7 a\u011f ve All-Flash NVMe depolama mimarisini ke\u015ffedin.<\/p>\n","protected":false},"author":4,"featured_media":835,"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":"disabled","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 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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-13189","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-genel"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>NVIDIA GB10 AI Cluster: Kurumsal Altyap\u0131 | GTM Teknoloji<\/title>\n<meta name=\"description\" content=\"NVIDIA GB10 AI Cluster mimarisi ile kurumsal yapay zek\u00e2 altyap\u0131n\u0131z\u0131 g\u00fc\u00e7lendirin. 1 TB bellek ve d\u00fc\u015f\u00fck g\u00fc\u00e7 t\u00fcketimli \u00e7\u00f6z\u00fcmleri ke\u015ffedin.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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