{"id":14468,"date":"2026-10-06T00:16:58","date_gmt":"2026-10-05T21:16:58","guid":{"rendered":"https:\/\/gtmteknoloji.com\/b2b\/?post_type=product&#038;p=14468"},"modified":"2026-10-06T00:16:59","modified_gmt":"2026-10-05T21:16:59","slug":"nvidia-igx-t7000-microatx-board-kit","status":"publish","type":"product","link":"https:\/\/gtmteknoloji.com\/b2b\/magaza\/edge-ai\/nvidia-igx\/nvidia-igx-t7000-microatx-board-kit\/","title":{"rendered":"NVIDIA IGX T7000 MicroATX Board Kit"},"content":{"rendered":"<style>\n.gtm-product{\n  max-width:820px;\n  margin:0 auto;\n  font-family:Arial,Helvetica,sans-serif;\n  color:#263238;\n  line-height:1.65;\n}<\/p>\n<p>.gtm-product h2{\n  font-size:24px;\n  margin:32px 0 14px;\n  color:#1f2933;\n}<\/p>\n<p>.gtm-product p{\n  margin:0 0 15px;\n}<\/p>\n<p>.gtm-summary{\n  background:#f5f8f1;\n  border-left:4px solid #76B900;\n  padding:18px 20px;\n  margin:20px 0 28px;\n  border-radius:6px;\n}<\/p>\n<p>.gtm-features{\n  display:grid;\n  grid-template-columns:repeat(2,minmax(0,1fr));\n  gap:14px;\n  margin:20px 0 30px;\n}<\/p>\n<p>.gtm-feature{\n  border:1px solid #e3e7ea;\n  border-radius:8px;\n  padding:16px;\n  background:#fff;\n}<\/p>\n<p>.gtm-feature strong{\n  display:block;\n  color:#4d7f1c;\n  margin-bottom:5px;\n}<\/p>\n<p>.gtm-table-wrap{\n  width:100%;\n  overflow-x:auto;\n  margin:18px 0 30px;\n}<\/p>\n<p>.gtm-table{\n  width:100%;\n  border-collapse:collapse;\n  min-width:600px;\n}<\/p>\n<p>.gtm-table th,\n.gtm-table td{\n  padding:12px 14px;\n  border:1px solid #e2e6e9;\n  text-align:left;\n  vertical-align:top;\n}<\/p>\n<p>.gtm-table th{\n  width:34%;\n  background:#76B900;\n  color:#fff;\n  font-weight:600;\n}<\/p>\n<p>.gtm-table tr:hover td{\n  background:#f3f9eb;\n}<\/p>\n<p>.gtm-apps{\n  display:flex;\n  flex-wrap:wrap;\n  gap:8px;\n  margin:14px 0 28px;\n}<\/p>\n<p>.gtm-apps span{\n  background:#f1f6eb;\n  border:1px solid #dceacb;\n  padding:7px 11px;\n  border-radius:18px;\n  font-size:14px;\n}<\/p>\n<p>@media(max-width:640px){\n  .gtm-product{\n    padding:0 12px;\n  }<\/p>\n<p>  .gtm-features{\n    grid-template-columns:1fr;\n  }<\/p>\n<p>  .gtm-product h2{\n    font-size:21px;\n  }<\/p>\n<p>  .gtm-table th,\n  .gtm-table td{\n    padding:10px;\n    font-size:14px;\n  }\n}\n<\/style>\n<article class=\"gtm-product\">\n<div class=\"gtm-summary\">\n    <strong>NVIDIA IGX T7000 MicroATX Board Kit<\/strong>, fiziksel AI ve kurumsal edge AI sistemleri i\u00e7in geli\u015ftirilen \u00fcretime haz\u0131r bir platformdur. \u00d6zellikle NVIDIA Blackwell mimarili entegre GPU ile 14 \u00e7ekirdek Arm Neoverse-V3AE CPU y\u00fcksek i\u015flem kapasitesi sunar. Bunun yan\u0131nda 128 GB LPDDR5X bellek, ConnectX-7 a\u011f altyap\u0131s\u0131 ve BMC deste\u011fi sistem entegrasyonunu kolayla\u015ft\u0131r\u0131r. B\u00f6ylece T7000; robotik, end\u00fcstriyel AI ve medikal edge uygulamalar\u0131 i\u00e7in g\u00fc\u00e7l\u00fc bir temel olu\u015fturur.\n  <\/div>\n<h2>\u00d6ne \u00c7\u0131kan \u00d6zellikler<\/h2>\n<div class=\"gtm-features\">\n<div class=\"gtm-feature\">\n      <strong>NVIDIA Blackwell GPU<\/strong><br \/>\n      Entegre GPU, 2.560 CUDA \u00e7ekirde\u011fi ve 5. nesil Tensor Core mimarisi kullan\u0131r. B\u00f6ylece fiziksel AI ve geli\u015fmi\u015f \u00e7\u0131kar\u0131m i\u015f y\u00fckleri y\u00fcksek performansla \u00e7al\u0131\u015fabilir.\n    <\/div>\n<div class=\"gtm-feature\">\n      <strong>14 \u00c7ekirdek Arm CPU<\/strong><br \/>\n      Arm Neoverse-V3AE tabanl\u0131 64-bit CPU, 2.6 GHz&#8217;e kadar \u00e7al\u0131\u015fma frekans\u0131 sunar. Bununla birlikte CPU, ger\u00e7ek zamanl\u0131 sistem ve uygulama g\u00f6revlerini y\u00f6netir.\n    <\/div>\n<div class=\"gtm-feature\">\n      <strong>128 GB LPDDR5X<\/strong><br \/>\n      Sistem, 256-bit aray\u00fcze sahip 128 GB LPDDR5X bellek kullan\u0131r. Buna ek olarak 273 GB\/s bant geni\u015fli\u011fi, yo\u011fun AI ve sens\u00f6r verilerinin i\u015flenmesini h\u0131zland\u0131r\u0131r.\n    <\/div>\n<div class=\"gtm-feature\">\n      <strong>NVIDIA ConnectX-7<\/strong><br \/>\n      T7000, entegre ConnectX-7 deste\u011fiyle y\u00fcksek h\u0131zl\u0131 kurumsal a\u011f ba\u011flant\u0131s\u0131 sunar. Ayr\u0131ca iki QSFP112 ba\u011flant\u0131s\u0131 \u00fczerinden port ba\u015f\u0131na 200GbE deste\u011fi sa\u011flar.\n    <\/div>\n<div class=\"gtm-feature\">\n      <strong>MicroATX Board Kit<\/strong><br \/>\n      MicroATX yap\u0131, sistem \u00fcreticilerinin kart\u0131 \u00f6zel edge AI ve end\u00fcstriyel \u00e7\u00f6z\u00fcmlere entegre etmesini kolayla\u015ft\u0131r\u0131r. Bu nedenle T7000, \u00fcretim odakl\u0131 sistem tasar\u0131mlar\u0131na uygundur.\n    <\/div>\n<div class=\"gtm-feature\">\n      <strong>Fonksiyonel G\u00fcvenlik ve BMC<\/strong><br \/>\n      T7000, Functional Safety Island, Safety MCU ve BMC deste\u011fi sunar. Dolay\u0131s\u0131yla g\u00fcvenlik ve uzaktan y\u00f6netim gerektiren kurumsal sistemlerde g\u00fc\u00e7l\u00fc bir altyap\u0131 sa\u011flar.\n    <\/div>\n<\/p><\/div>\n<h2>T\u00fcm \u00d6zellikler<\/h2>\n<div class=\"gtm-table-wrap\">\n<table class=\"gtm-table\">\n<tbody>\n<tr>\n<th>Marka<\/th>\n<td>NVIDIA<\/td>\n<\/tr>\n<tr>\n<th>\u00dcr\u00fcn Ailesi<\/th>\n<td>NVIDIA IGX<\/td>\n<\/tr>\n<tr>\n<th>Model<\/th>\n<td>IGX T7000<\/td>\n<\/tr>\n<tr>\n<th>\u00dcr\u00fcn Tipi<\/th>\n<td>MicroATX Board Kit<\/td>\n<\/tr>\n<tr>\n<th>Form Fakt\u00f6r<\/th>\n<td>MicroATX<\/td>\n<\/tr>\n<tr>\n<th>NVIDIA Par\u00e7a Numaras\u0131<\/th>\n<td>940-25940-0000-000<\/td>\n<\/tr>\n<tr>\n<th>Platform<\/th>\n<td>NVIDIA IGX Thor<\/td>\n<\/tr>\n<tr>\n<th>GPU Mimarisi<\/th>\n<td>NVIDIA Blackwell<\/td>\n<\/tr>\n<tr>\n<th>Entegre GPU<\/th>\n<td>2.560 CUDA \u00e7ekirde\u011fi<\/td>\n<\/tr>\n<tr>\n<th>Tensor Core<\/th>\n<td>5. Nesil Tensor Core<\/td>\n<\/tr>\n<tr>\n<th>Multi-Instance GPU<\/th>\n<td>MIG, 10 TPC<\/td>\n<\/tr>\n<tr>\n<th>iGPU Maksimum Frekans<\/th>\n<td>1.57 GHz<\/td>\n<\/tr>\n<tr>\n<th>AI Performans\u0131<\/th>\n<td>5.581 FP4 Sparse TFLOPS&#8217;a kadar<\/td>\n<\/tr>\n<tr>\n<th>CPU<\/th>\n<td>14 \u00c7ekirdek Arm Neoverse-V3AE 64-bit<\/td>\n<\/tr>\n<tr>\n<th>CPU Maksimum Frekans<\/th>\n<td>2.6 GHz<\/td>\n<\/tr>\n<tr>\n<th>Bellek<\/th>\n<td>128 GB LPDDR5X<\/td>\n<\/tr>\n<tr>\n<th>Bellek Veri Yolu<\/th>\n<td>256-bit<\/td>\n<\/tr>\n<tr>\n<th>Bellek Bant Geni\u015fli\u011fi<\/th>\n<td>273 GB\/s<\/td>\n<\/tr>\n<tr>\n<th>Entegre A\u011f<\/th>\n<td>NVIDIA ConnectX-7<\/td>\n<\/tr>\n<tr>\n<th>Ethernet<\/th>\n<td>2x RJ45, port ba\u015f\u0131na 1GbE<\/td>\n<\/tr>\n<tr>\n<th>Y\u00fcksek H\u0131zl\u0131 A\u011f<\/th>\n<td>2x QSFP112, port ba\u015f\u0131na 200GbE<\/td>\n<\/tr>\n<tr>\n<th>G\u00f6r\u00fcnt\u00fc \u00c7\u0131k\u0131\u015f\u0131<\/th>\n<td>1x VESA DisplayPort 1.4a<\/td>\n<\/tr>\n<tr>\n<th>COM<\/th>\n<td>4x COM Port<\/td>\n<\/tr>\n<tr>\n<th>BMC<\/th>\n<td>Var<\/td>\n<\/tr>\n<tr>\n<th>Fonksiyonel G\u00fcvenlik<\/th>\n<td>Functional Safety Island + Safety MCU<\/td>\n<\/tr>\n<tr>\n<th>dGPU Deste\u011fi<\/th>\n<td>NVIDIA RTX PRO Blackwell deste\u011fi<\/td>\n<\/tr>\n<tr>\n<th>\u00dcretim Durumu<\/th>\n<td>Production SKU<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/div>\n<h2>Kurumsal Edge AI \u0130\u00e7in MicroATX Platform<\/h2>\n<p>\n    NVIDIA IGX T7000, y\u00fcksek performans gerektiren kurumsal edge AI sistemleri i\u00e7in MicroATX form fakt\u00f6r\u00fc kullan\u0131r. \u00d6zellikle standart kart yap\u0131s\u0131, \u00fcreticilerin platformu \u00f6zel end\u00fcstriyel ve robotik \u00e7\u00f6z\u00fcmlere entegre etmesini kolayla\u015ft\u0131r\u0131r.\n  <\/p>\n<p>\n    Bununla birlikte Blackwell tabanl\u0131 entegre GPU, fiziksel AI ve ger\u00e7ek zamanl\u0131 \u00e7\u0131kar\u0131m g\u00f6revlerini h\u0131zland\u0131r\u0131r. Ayr\u0131ca 14 \u00e7ekirdek Arm Neoverse-V3AE CPU, sistem ve uygulama i\u015f y\u00fcklerini birlikte y\u00f6netir.\n  <\/p>\n<p>\n    Bellek taraf\u0131nda 128 GB LPDDR5X kapasite yer al\u0131r. Buna ek olarak 273 GB\/s bant geni\u015fli\u011fi, sens\u00f6r verilerinin ve b\u00fcy\u00fck AI modellerinin h\u0131zl\u0131 bi\u00e7imde i\u015flenmesine yard\u0131mc\u0131 olur.\n  <\/p>\n<h2>ConnectX-7 ile Y\u00fcksek H\u0131zl\u0131 A\u011f<\/h2>\n<p>\n    NVIDIA ConnectX-7 entegrasyonu, T7000&#8217;in a\u011f altyap\u0131s\u0131n\u0131 g\u00fc\u00e7lendirir. B\u00f6ylece b\u00fcy\u00fck sens\u00f6r veri ak\u0131\u015flar\u0131 ve ger\u00e7ek zamanl\u0131 AI uygulamalar\u0131 y\u00fcksek bant geni\u015fli\u011finden yararlanabilir.\n  <\/p>\n<p>\n    Kart \u00fczerinde iki adet 1GbE RJ45 ba\u011flant\u0131s\u0131 bulunur. Bunun yan\u0131nda iki QSFP112 portu, port ba\u015f\u0131na 200GbE&#8217;ye kadar y\u00fcksek h\u0131zl\u0131 Ethernet ba\u011flant\u0131s\u0131 sa\u011flar.\n  <\/p>\n<h2>RTX PRO Blackwell ile Geni\u015fletilebilir<\/h2>\n<p>\n    IGX T7000, entegre Blackwell GPU&#8217;ya ek olarak ayr\u0131k GPU deste\u011fi sunar. \u00d6zellikle NVIDIA RTX PRO 6000 Blackwell Max-Q ile yap\u0131land\u0131r\u0131ld\u0131\u011f\u0131nda toplam AI performans\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde artar.\n  <\/p>\n<p>\n    NVIDIA, bu yap\u0131land\u0131rma i\u00e7in 5.581 FP4 Sparse TFLOPS&#8217;a kadar toplam AI performans\u0131 belirtir. Dolay\u0131s\u0131yla \u00fcretken AI, robotik ve g\u00f6rsel analiz gibi yo\u011fun i\u015f y\u00fckleri daha y\u00fcksek h\u0131zland\u0131rmadan yararlanabilir.\n  <\/p>\n<h2>Fonksiyonel G\u00fcvenlik ve Y\u00f6netim<\/h2>\n<p>\n    Functional Safety Island ve Safety MCU, g\u00fcvenlik gerektiren fiziksel AI sistemlerini destekler. Bunun yan\u0131nda BMC, sa\u011fl\u0131k izleme ve uzaktan sistem y\u00f6netimi i\u00e7in ek kontrol sa\u011flar.\n  <\/p>\n<p>\n    Sonu\u00e7 olarak NVIDIA IGX T7000; Blackwell GPU, ConnectX-7, fonksiyonel g\u00fcvenlik ve MicroATX yap\u0131s\u0131n\u0131 tek platformda birle\u015ftirir. B\u00f6ylece robotik, end\u00fcstriyel AI ve medikal edge projeleri i\u00e7in \u00fcretim odakl\u0131 g\u00fc\u00e7l\u00fc bir altyap\u0131 sunar.\n  <\/p>\n<h2>Kullan\u0131m Alanlar\u0131<\/h2>\n<div class=\"gtm-apps\">\n    <span>Fiziksel AI<\/span><br \/>\n    <span>Robotik<\/span><br \/>\n    <span>End\u00fcstriyel AI<\/span><br \/>\n    <span>Medikal AI<\/span><br \/>\n    <span>Edge AI<\/span><br \/>\n    <span>G\u00f6rsel AI<\/span><br \/>\n    <span>Sens\u00f6r \u0130\u015fleme<\/span><br \/>\n    <span>Ak\u0131ll\u0131 Makineler<\/span>\n  <\/div>\n<\/article>\n","protected":false},"excerpt":{"rendered":"<p>NVIDIA IGX T7000 MicroATX Board Kit, Blackwell GPU, 14 \u00e7ekirdek Arm Neoverse-V3AE CPU, 128 GB LPDDR5X ve ConnectX-7 altyap\u0131s\u0131yla kurumsal fiziksel AI ve edge sistemleri i\u00e7in \u00fcretim odakl\u0131 bir platform sunar.<\/p>\n","protected":false},"featured_media":14469,"comment_status":"open","ping_status":"closed","template":"","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":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","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":""}}},"product_brand":[22],"product_cat":[1010,2643],"product_tag":[],"gtm_use_case":[],"class_list":["post-14468","product","type-product","status-publish","has-post-thumbnail","product_brand-nvidia","product_cat-edge-ai","product_cat-nvidia-igx","desktop-align-left","tablet-align-left","mobile-align-left","first","instock","taxable","shipping-taxable","product-type-simple"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>NVIDIA IGX T7000 MicroATX Board Kit | Edge AI<\/title>\n<meta name=\"description\" content=\"NVIDIA IGX T7000; 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