{"id":14471,"date":"2026-10-06T00:22:34","date_gmt":"2026-10-05T21:22:34","guid":{"rendered":"https:\/\/gtmteknoloji.com\/b2b\/?post_type=product&#038;p=14471"},"modified":"2026-10-06T00:22:34","modified_gmt":"2026-10-05T21:22:34","slug":"nvidia-igx-t5000-system-on-module","status":"publish","type":"product","link":"https:\/\/gtmteknoloji.com\/b2b\/magaza\/edge-ai\/nvidia-igx\/nvidia-igx-t5000-system-on-module\/","title":{"rendered":"NVIDIA IGX T5000 System-on-Module"},"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 T5000 System-on-Module<\/strong>, \u00f6zel carrier board tasar\u0131mlar\u0131na y\u00f6nelik \u00fcretim s\u0131n\u0131f\u0131 bir fiziksel AI platformudur. \u00d6zellikle NVIDIA Blackwell mimarili GPU, 14 \u00e7ekirdek Arm Neoverse-V3AE CPU ve 128 GB LPDDR5X bellek y\u00fcksek i\u015flem kapasitesi sa\u011flar. Bunun yan\u0131nda kompakt SoM yap\u0131s\u0131, farkl\u0131 robotik ve end\u00fcstriyel sistemlere entegrasyonu kolayla\u015ft\u0131r\u0131r. Ayr\u0131ca 40 W ile 130 W aras\u0131ndaki g\u00fc\u00e7 aral\u0131\u011f\u0131, farkl\u0131 sistem tasar\u0131mlar\u0131na uyum sa\u011flar. B\u00f6ylece \u00fcreticiler kendi edge AI \u00e7\u00f6z\u00fcmlerini IGX Thor altyap\u0131s\u0131 \u00fczerine geli\u015ftirebilir.\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 96 adet 5. nesil Tensor Core sunar. B\u00f6ylece fiziksel AI ve ger\u00e7ek zamanl\u0131 \u00e7\u0131kar\u0131m i\u015f y\u00fckleri y\u00fcksek i\u015flem kapasitesiyle \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\u0131na ula\u015f\u0131r. Bununla birlikte i\u015flemci, genel sistem g\u00f6revlerini GPU ile birlikte y\u00fcr\u00fct\u00fcr.\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 sens\u00f6r ve AI verilerinin i\u015flenmesini h\u0131zland\u0131r\u0131r.\n    <\/div>\n<div class=\"gtm-feature\">\n      <strong>2070 FP4 TFLOPS<\/strong><br \/>\n      IGX T5000, 2070 FP4 Sparse TFLOPS&#8217;a kadar AI performans\u0131 sunar. Dolay\u0131s\u0131yla \u00fcretken AI, robotik ve fiziksel AI uygulamalar\u0131nda g\u00fc\u00e7l\u00fc bir i\u015flem altyap\u0131s\u0131 sa\u011flar.\n    <\/div>\n<div class=\"gtm-feature\">\n      <strong>Kompakt SoM Yap\u0131s\u0131<\/strong><br \/>\n      100 \u00d7 87 mm \u00f6l\u00e7\u00fclerindeki System-on-Module tasar\u0131m\u0131, \u00f6zel carrier board \u00e7\u00f6z\u00fcmlerine entegrasyonu kolayla\u015ft\u0131r\u0131r. B\u00f6ylece \u00fcreticiler farkl\u0131 form fakt\u00f6rlerde sistem geli\u015ftirebilir.\n    <\/div>\n<div class=\"gtm-feature\">\n      <strong>Fonksiyonel G\u00fcvenlik<\/strong><br \/>\n      Thor SoC \u00fczerindeki Functional Safety Island, g\u00fcvenlik odakl\u0131 uygulamalar i\u00e7in temel altyap\u0131y\u0131 sa\u011flar. Bu nedenle T5000, robotik ve end\u00fcstriyel sistem tasar\u0131mlar\u0131nda g\u00fc\u00e7l\u00fc bir se\u00e7enek olu\u015fturur.\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 T5000<\/td>\n<\/tr>\n<tr>\n<th>\u00dcr\u00fcn Tipi<\/th>\n<td>System-on-Module<\/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>96x 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>2070 TFLOPS&#8217;a kadar, FP4 Sparse<\/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 L2 \u00d6nbellek<\/th>\n<td>\u00c7ekirdek ba\u015f\u0131na 1 MB<\/td>\n<\/tr>\n<tr>\n<th>CPU L3 \u00d6nbellek<\/th>\n<td>16 MB Payla\u015f\u0131lan Sistem L3<\/td>\n<\/tr>\n<tr>\n<th>CPU Maksimum Frekans<\/th>\n<td>2.6 GHz<\/td>\n<\/tr>\n<tr>\n<th>Vision Accelerator<\/th>\n<td>1x PVA v3<\/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>A\u011f<\/th>\n<td>4x 25GbE<\/td>\n<\/tr>\n<tr>\n<th>Entegre ConnectX<\/th>\n<td>Yok<\/td>\n<\/tr>\n<tr>\n<th>G\u00f6r\u00fcnt\u00fc \u00c7\u0131k\u0131\u015flar\u0131<\/th>\n<td>1x Shared HDMI 2.1, 1x VESA DisplayPort 1.4a<\/td>\n<\/tr>\n<tr>\n<th>CAN<\/th>\n<td>2x 13-pin CAN Header<\/td>\n<\/tr>\n<tr>\n<th>Automation Header<\/th>\n<td>2x 6-pin<\/td>\n<\/tr>\n<tr>\n<th>JTAG<\/th>\n<td>2x 5-pin Header<\/td>\n<\/tr>\n<tr>\n<th>Fan Connector<\/th>\n<td>1x 4-pin, 12 V PWM + Tach<\/td>\n<\/tr>\n<tr>\n<th>Audio Header<\/th>\n<td>2x 5-pin<\/td>\n<\/tr>\n<tr>\n<th>RTC Backup Battery<\/th>\n<td>2-pin Connector<\/td>\n<\/tr>\n<tr>\n<th>BMC<\/th>\n<td>Yok<\/td>\n<\/tr>\n<tr>\n<th>Fonksiyonel G\u00fcvenlik<\/th>\n<td>Functional Safety Island on SoC<\/td>\n<\/tr>\n<tr>\n<th>NVIDIA AI Enterprise<\/th>\n<td>Destekli<\/td>\n<\/tr>\n<tr>\n<th>G\u00fc\u00e7 Aral\u0131\u011f\u0131<\/th>\n<td>40 W \u2013 130 W<\/td>\n<\/tr>\n<tr>\n<th>Boyutlar<\/th>\n<td>100 \u00d7 87 mm<\/td>\n<\/tr>\n<tr>\n<th>Mod\u00fcl Ba\u011flant\u0131s\u0131<\/th>\n<td>699-pin B2B Connector<\/td>\n<\/tr>\n<tr>\n<th>Termal Yap\u0131<\/th>\n<td>Entegre Thermal Transfer Plate (TTP) ve Heat Pipe<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/div>\n<h2>\u00d6zel Carrier Board Tasar\u0131mlar\u0131 \u0130\u00e7in SoM<\/h2>\n<p>\n    NVIDIA IGX T5000, haz\u0131r MicroATX kart yerine System-on-Module yap\u0131s\u0131n\u0131 kullan\u0131r. \u00d6zellikle bu tasar\u0131m, \u00fcreticilerin kendi carrier board ve I\/O yap\u0131lar\u0131n\u0131 geli\u015ftirmesine imkan verir.\n  <\/p>\n<p>\n    Bununla birlikte 100 \u00d7 87 mm boyutlar, mod\u00fcl\u00fcn kompakt edge sistemlerine entegrasyonunu kolayla\u015ft\u0131r\u0131r. Ayr\u0131ca 699-pin B2B ba\u011flant\u0131s\u0131, g\u00fc\u00e7 ve I\/O hatlar\u0131n\u0131n \u00f6zel ta\u015f\u0131y\u0131c\u0131 kart \u00fczerinden y\u00f6netilmesini sa\u011flar.\n  <\/p>\n<p>\n    Bu yap\u0131 sayesinde \u00fcreticiler kasa, so\u011futma ve ba\u011flant\u0131 tasar\u0131m\u0131n\u0131 kendi proje gereksinimlerine g\u00f6re \u015fekillendirebilir. Sonu\u00e7 olarak ayn\u0131 IGX Thor altyap\u0131s\u0131 farkl\u0131 fiziksel AI sistemlerine uyarlanabilir.\n  <\/p>\n<h2>Blackwell ile Fiziksel AI Performans\u0131<\/h2>\n<p>\n    T5000 \u00fczerindeki NVIDIA Blackwell GPU, 2.560 CUDA \u00e7ekirde\u011fi ve 96 adet 5. nesil Tensor Core i\u00e7erir. B\u00f6ylece platform, 2070 FP4 Sparse TFLOPS&#8217;a kadar AI i\u015flem kapasitesi sunar.\n  <\/p>\n<p>\n    \u00d6te yandan Multi-Instance GPU deste\u011fi, GPU kaynaklar\u0131n\u0131 farkl\u0131 uygulamalara ay\u0131rmay\u0131 kolayla\u015ft\u0131r\u0131r. Bu sayede birden fazla yapay zeka i\u015f y\u00fck\u00fc ayn\u0131 sistem \u00fczerinde daha kontroll\u00fc bi\u00e7imde \u00e7al\u0131\u015fabilir.\n  <\/p>\n<p>\n    Ayr\u0131ca 128 GB LPDDR5X bellek, b\u00fcy\u00fck AI modelleri i\u00e7in geni\u015f \u00e7al\u0131\u015fma alan\u0131 sa\u011flar. Bunun yan\u0131nda 273 GB\/s bant geni\u015fli\u011fi, yo\u011fun veri ak\u0131\u015flar\u0131n\u0131n i\u015flenmesini h\u0131zland\u0131r\u0131r.\n  <\/p>\n<h2>End\u00fcstriyel Sistemlere Uygun Yap\u0131<\/h2>\n<p>\n    Functional Safety Island, Thor SoC i\u00e7erisinde yer al\u0131r. Bu nedenle \u00fcreticiler gerekli carrier board bile\u015fenlerini ve g\u00fcvenlik mimarisini kendi sistem gereksinimlerine g\u00f6re tasarlayabilir.\n  <\/p>\n<p>\n    T5000&#8217;de entegre BMC veya ConnectX bulunmaz. Buna kar\u015f\u0131l\u0131k mod\u00fcl, esnek I\/O yap\u0131s\u0131 ve \u00f6zel carrier board tasar\u0131m\u0131 \u00fczerinden farkl\u0131 sistem ihtiya\u00e7lar\u0131na uyarlanabilir.\n  <\/p>\n<p>\n    Ayr\u0131ca NVIDIA AI Enterprise deste\u011fi, kurumsal AI uygulamalar\u0131n\u0131n edge ortam\u0131nda \u00e7al\u0131\u015ft\u0131r\u0131lmas\u0131na yard\u0131mc\u0131 olur. Dolay\u0131s\u0131yla T5000, robotik, medikal ve end\u00fcstriyel fiziksel AI \u00e7\u00f6z\u00fcmlerine g\u00fc\u00e7l\u00fc bir temel 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>\u00d6zel Carrier Board<\/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 T5000 System-on-Module, Blackwell GPU, 14 \u00e7ekirdek Arm Neoverse-V3AE CPU, 128 GB LPDDR5X bellek ve 2070 FP4 TFLOPS&#8217;a kadar AI performans\u0131yla \u00f6zel carrier board tabanl\u0131 fiziksel AI sistemleri i\u00e7in kompakt bir platform sunar.<\/p>\n","protected":false},"featured_media":14472,"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-14471","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 T5000 System-on-Module | Edge AI<\/title>\n<meta name=\"description\" content=\"NVIDIA IGX T5000; Blackwell GPU, 14 \u00e7ekirdek Arm CPU, 128 GB LPDDR5X ve kompakt SoM yap\u0131s\u0131yla \u00f6zel carrier board tabanl\u0131 edge AI sistemlerini destekler.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/gtmteknoloji.com\/b2b\/magaza\/edge-ai\/nvidia-igx\/nvidia-igx-t5000-system-on-module\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NVIDIA IGX T5000 System-on-Module | Edge AI\" \/>\n<meta property=\"og:description\" content=\"NVIDIA IGX T5000; Blackwell GPU, 14 \u00e7ekirdek Arm CPU, 128 GB LPDDR5X ve kompakt SoM yap\u0131s\u0131yla \u00f6zel carrier board tabanl\u0131 edge AI sistemlerini destekler.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/gtmteknoloji.com\/b2b\/magaza\/edge-ai\/nvidia-igx\/nvidia-igx-t5000-system-on-module\/\" \/>\n<meta property=\"og:site_name\" content=\"GTM Teknoloji B2B\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/SupermicroTurkiye\/?locale=tr_TR\" \/>\n<meta property=\"og:image\" content=\"https:\/\/gtmteknoloji.com\/b2b\/wp-content\/uploads\/2026\/10\/NVIDIA-IGX-T5000-System-on-Module.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"576\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@gtmteknoloji\" \/>\n<meta name=\"twitter:label1\" content=\"Tahmini okuma s\u00fcresi\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 dakika\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/gtmteknoloji.com\\\/b2b\\\/magaza\\\/edge-ai\\\/nvidia-igx\\\/nvidia-igx-t5000-system-on-module\\\/\",\"url\":\"https:\\\/\\\/gtmteknoloji.com\\\/b2b\\\/magaza\\\/edge-ai\\\/nvidia-igx\\\/nvidia-igx-t5000-system-on-module\\\/\",\"name\":\"NVIDIA IGX T5000 System-on-Module | Edge AI\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/gtmteknoloji.com\\\/b2b\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/gtmteknoloji.com\\\/b2b\\\/magaza\\\/edge-ai\\\/nvidia-igx\\\/nvidia-igx-t5000-system-on-module\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/gtmteknoloji.com\\\/b2b\\\/magaza\\\/edge-ai\\\/nvidia-igx\\\/nvidia-igx-t5000-system-on-module\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/gtmteknoloji.com\\\/b2b\\\/wp-content\\\/uploads\\\/2026\\\/10\\\/NVIDIA-IGX-T5000-System-on-Module.jpg\",\"datePublished\":\"2026-10-05T21:22:34+00:00\",\"description\":\"NVIDIA IGX T5000; Blackwell GPU, 14 \u00e7ekirdek Arm CPU, 128 GB LPDDR5X ve kompakt SoM yap\u0131s\u0131yla \u00f6zel carrier board tabanl\u0131 edge AI sistemlerini destekler.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/gtmteknoloji.com\\\/b2b\\\/magaza\\\/edge-ai\\\/nvidia-igx\\\/nvidia-igx-t5000-system-on-module\\\/#breadcrumb\"},\"inLanguage\":\"tr\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/gtmteknoloji.com\\\/b2b\\\/magaza\\\/edge-ai\\\/nvidia-igx\\\/nvidia-igx-t5000-system-on-module\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"tr\",\"@id\":\"https:\\\/\\\/gtmteknoloji.com\\\/b2b\\\/magaza\\\/edge-ai\\\/nvidia-igx\\\/nvidia-igx-t5000-system-on-module\\\/#primaryimage\",\"url\":\"https:\\\/\\\/gtmteknoloji.com\\\/b2b\\\/wp-content\\\/uploads\\\/2026\\\/10\\\/NVIDIA-IGX-T5000-System-on-Module.jpg\",\"contentUrl\":\"https:\\\/\\\/gtmteknoloji.com\\\/b2b\\\/wp-content\\\/uploads\\\/2026\\\/10\\\/NVIDIA-IGX-T5000-System-on-Module.jpg\",\"width\":1024,\"height\":576},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/gtmteknoloji.com\\\/b2b\\\/magaza\\\/edge-ai\\\/nvidia-igx\\\/nvidia-igx-t5000-system-on-module\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/gtmteknoloji.com\\\/b2b\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Ma\u011faza\",\"item\":\"https:\\\/\\\/gtmteknoloji.com\\\/b2b\\\/magaza\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"NVIDIA IGX T5000 System-on-Module\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/gtmteknoloji.com\\\/b2b\\\/#website\",\"url\":\"https:\\\/\\\/gtmteknoloji.com\\\/b2b\\\/\",\"name\":\"GTM Teknoloji\",\"description\":\"Supermicro | NVIDIA | Proxmox\",\"publisher\":{\"@id\":\"https:\\\/\\\/gtmteknoloji.com\\\/b2b\\\/#organization\"},\"alternateName\":\"GTM\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/gtmteknoloji.com\\\/b2b\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"tr\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/gtmteknoloji.com\\\/b2b\\\/#organization\",\"name\":\"GTM Teknoloji\",\"alternateName\":\"GTM\",\"url\":\"https:\\\/\\\/gtmteknoloji.com\\\/b2b\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"tr\",\"@id\":\"https:\\\/\\\/gtmteknoloji.com\\\/b2b\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"\",\"contentUrl\":\"\",\"caption\":\"GTM Teknoloji\"},\"image\":{\"@id\":\"https:\\\/\\\/gtmteknoloji.com\\\/b2b\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/SupermicroTurkiye\\\/?locale=tr_TR\",\"https:\\\/\\\/x.com\\\/gtmteknoloji\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"NVIDIA IGX T5000 System-on-Module | Edge AI","description":"NVIDIA IGX T5000; Blackwell GPU, 14 \u00e7ekirdek Arm CPU, 128 GB LPDDR5X ve kompakt SoM yap\u0131s\u0131yla \u00f6zel carrier board tabanl\u0131 edge AI sistemlerini destekler.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/gtmteknoloji.com\/b2b\/magaza\/edge-ai\/nvidia-igx\/nvidia-igx-t5000-system-on-module\/","og_locale":"tr_TR","og_type":"article","og_title":"NVIDIA IGX T5000 System-on-Module | Edge AI","og_description":"NVIDIA IGX T5000; Blackwell GPU, 14 \u00e7ekirdek Arm CPU, 128 GB LPDDR5X ve kompakt SoM yap\u0131s\u0131yla \u00f6zel carrier board tabanl\u0131 edge AI sistemlerini destekler.","og_url":"https:\/\/gtmteknoloji.com\/b2b\/magaza\/edge-ai\/nvidia-igx\/nvidia-igx-t5000-system-on-module\/","og_site_name":"GTM Teknoloji B2B","article_publisher":"https:\/\/www.facebook.com\/SupermicroTurkiye\/?locale=tr_TR","og_image":[{"width":1024,"height":576,"url":"https:\/\/gtmteknoloji.com\/b2b\/wp-content\/uploads\/2026\/10\/NVIDIA-IGX-T5000-System-on-Module.jpg","type":"image\/jpeg"}],"twitter_card":"summary_large_image","twitter_site":"@gtmteknoloji","twitter_misc":{"Tahmini okuma s\u00fcresi":"1 dakika"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/gtmteknoloji.com\/b2b\/magaza\/edge-ai\/nvidia-igx\/nvidia-igx-t5000-system-on-module\/","url":"https:\/\/gtmteknoloji.com\/b2b\/magaza\/edge-ai\/nvidia-igx\/nvidia-igx-t5000-system-on-module\/","name":"NVIDIA IGX T5000 System-on-Module | Edge AI","isPartOf":{"@id":"https:\/\/gtmteknoloji.com\/b2b\/#website"},"primaryImageOfPage":{"@id":"https:\/\/gtmteknoloji.com\/b2b\/magaza\/edge-ai\/nvidia-igx\/nvidia-igx-t5000-system-on-module\/#primaryimage"},"image":{"@id":"https:\/\/gtmteknoloji.com\/b2b\/magaza\/edge-ai\/nvidia-igx\/nvidia-igx-t5000-system-on-module\/#primaryimage"},"thumbnailUrl":"https:\/\/gtmteknoloji.com\/b2b\/wp-content\/uploads\/2026\/10\/NVIDIA-IGX-T5000-System-on-Module.jpg","datePublished":"2026-10-05T21:22:34+00:00","description":"NVIDIA IGX T5000; Blackwell GPU, 14 \u00e7ekirdek Arm CPU, 128 GB LPDDR5X ve kompakt SoM yap\u0131s\u0131yla \u00f6zel carrier board tabanl\u0131 edge AI sistemlerini destekler.","breadcrumb":{"@id":"https:\/\/gtmteknoloji.com\/b2b\/magaza\/edge-ai\/nvidia-igx\/nvidia-igx-t5000-system-on-module\/#breadcrumb"},"inLanguage":"tr","potentialAction":[{"@type":"ReadAction","target":["https:\/\/gtmteknoloji.com\/b2b\/magaza\/edge-ai\/nvidia-igx\/nvidia-igx-t5000-system-on-module\/"]}]},{"@type":"ImageObject","inLanguage":"tr","@id":"https:\/\/gtmteknoloji.com\/b2b\/magaza\/edge-ai\/nvidia-igx\/nvidia-igx-t5000-system-on-module\/#primaryimage","url":"https:\/\/gtmteknoloji.com\/b2b\/wp-content\/uploads\/2026\/10\/NVIDIA-IGX-T5000-System-on-Module.jpg","contentUrl":"https:\/\/gtmteknoloji.com\/b2b\/wp-content\/uploads\/2026\/10\/NVIDIA-IGX-T5000-System-on-Module.jpg","width":1024,"height":576},{"@type":"BreadcrumbList","@id":"https:\/\/gtmteknoloji.com\/b2b\/magaza\/edge-ai\/nvidia-igx\/nvidia-igx-t5000-system-on-module\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/gtmteknoloji.com\/b2b\/"},{"@type":"ListItem","position":2,"name":"Ma\u011faza","item":"https:\/\/gtmteknoloji.com\/b2b\/magaza\/"},{"@type":"ListItem","position":3,"name":"NVIDIA IGX T5000 System-on-Module"}]},{"@type":"WebSite","@id":"https:\/\/gtmteknoloji.com\/b2b\/#website","url":"https:\/\/gtmteknoloji.com\/b2b\/","name":"GTM Teknoloji","description":"Supermicro | NVIDIA | Proxmox","publisher":{"@id":"https:\/\/gtmteknoloji.com\/b2b\/#organization"},"alternateName":"GTM","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/gtmteknoloji.com\/b2b\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"tr"},{"@type":"Organization","@id":"https:\/\/gtmteknoloji.com\/b2b\/#organization","name":"GTM Teknoloji","alternateName":"GTM","url":"https:\/\/gtmteknoloji.com\/b2b\/","logo":{"@type":"ImageObject","inLanguage":"tr","@id":"https:\/\/gtmteknoloji.com\/b2b\/#\/schema\/logo\/image\/","url":"","contentUrl":"","caption":"GTM Teknoloji"},"image":{"@id":"https:\/\/gtmteknoloji.com\/b2b\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/SupermicroTurkiye\/?locale=tr_TR","https:\/\/x.com\/gtmteknoloji"]}]}},"_links":{"self":[{"href":"https:\/\/gtmteknoloji.com\/b2b\/wp-json\/wp\/v2\/product\/14471","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gtmteknoloji.com\/b2b\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/gtmteknoloji.com\/b2b\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/gtmteknoloji.com\/b2b\/wp-json\/wp\/v2\/comments?post=14471"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/gtmteknoloji.com\/b2b\/wp-json\/wp\/v2\/media\/14472"}],"wp:attachment":[{"href":"https:\/\/gtmteknoloji.com\/b2b\/wp-json\/wp\/v2\/media?parent=14471"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/gtmteknoloji.com\/b2b\/wp-json\/wp\/v2\/product_brand?post=14471"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/gtmteknoloji.com\/b2b\/wp-json\/wp\/v2\/product_cat?post=14471"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/gtmteknoloji.com\/b2b\/wp-json\/wp\/v2\/product_tag?post=14471"},{"taxonomy":"gtm_use_case","embeddable":true,"href":"https:\/\/gtmteknoloji.com\/b2b\/wp-json\/wp\/v2\/gtm_use_case?post=14471"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}