{"id":14464,"date":"2026-10-06T00:09:57","date_gmt":"2026-10-05T21:09:57","guid":{"rendered":"https:\/\/gtmteknoloji.com\/b2b\/?post_type=product&#038;p=14464"},"modified":"2026-10-06T00:09:57","modified_gmt":"2026-10-05T21:09:57","slug":"nvidia-igx-thor-developer-kit-mini","status":"publish","type":"product","link":"https:\/\/gtmteknoloji.com\/b2b\/magaza\/edge-ai\/nvidia-igx\/nvidia-igx-thor-developer-kit-mini\/","title":{"rendered":"NVIDIA IGX Thor Developer Kit Mini"},"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 Thor Developer Kit Mini<\/strong>, fiziksel yapay zeka, robotik ve edge AI geli\u015ftirme projeleri i\u00e7in tasarlanm\u0131\u015f kompakt bir geli\u015ftirme platformudur. \u00d6zellikle NVIDIA Blackwell mimarili GPU, 14 \u00e7ekirdek Arm Neoverse-V3AE CPU ve 128 GB LPDDR5X bellek g\u00fc\u00e7l\u00fc bir i\u015flem altyap\u0131s\u0131 sunar. Bunun yan\u0131nda y\u00fcksek h\u0131zl\u0131 a\u011f ve g\u00fcvenlik \u00f6zellikleri, ger\u00e7ek zamanl\u0131 robotik projelerin geli\u015ftirilmesini kolayla\u015ft\u0131r\u0131r. B\u00f6ylece geli\u015ftiriciler fiziksel AI uygulamalar\u0131n\u0131 tek bir kompakt sistem \u00fczerinde test edebilir.\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 sunar. B\u00f6ylece fiziksel AI ve robotik i\u015f y\u00fckleri daha y\u00fcksek i\u015flem kapasitesiyle \u00e7al\u0131\u015f\u0131r.\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 CPU, 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 AI ve sens\u00f6r verilerinin i\u015flenmesini h\u0131zland\u0131r\u0131r.\n    <\/div>\n<div class=\"gtm-feature\">\n      <strong>2070 FP4 TFLOPS<\/strong><br \/>\n      Platform, 2070 FP4 Sparse TFLOPS&#8217;a kadar AI performans\u0131 sunar. Dolay\u0131s\u0131yla yeni nesil \u00e7\u0131kar\u0131m ve fiziksel AI uygulamalar\u0131 daha verimli \u00e7al\u0131\u015ft\u0131r\u0131labilir.\n    <\/div>\n<div class=\"gtm-feature\">\n      <strong>Y\u00fcksek H\u0131zl\u0131 A\u011f<\/strong><br \/>\n      1x 5GbE RJ45 ve 1x QSFP28 \u00fczerinden 4x 25GbE ba\u011flant\u0131s\u0131 bulunur. B\u00f6ylece sens\u00f6r ve a\u011f verileri y\u00fcksek bant geni\u015fli\u011fiyle ta\u015f\u0131nabilir.\n    <\/div>\n<div class=\"gtm-feature\">\n      <strong>Kablosuz Ba\u011flant\u0131<\/strong><br \/>\n      Wi-Fi 6E deste\u011fi, kablosuz geli\u015ftirme ve test senaryolar\u0131na esneklik kazand\u0131r\u0131r. Ayr\u0131ca platform, Bluetooth ba\u011flant\u0131s\u0131n\u0131 da destekler.\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 Thor Developer Kit Mini<\/td>\n<\/tr>\n<tr>\n<th>Platform<\/th>\n<td>NVIDIA IGX Thor<\/td>\n<\/tr>\n<tr>\n<th>Mod\u00fcl<\/th>\n<td>NVIDIA IGX T5000<\/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>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>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>Depolama<\/th>\n<td>1 TB NVMe, M.2 Key M<\/td>\n<\/tr>\n<tr>\n<th>Ethernet<\/th>\n<td>1x 5GbE RJ45<\/td>\n<\/tr>\n<tr>\n<th>Y\u00fcksek H\u0131zl\u0131 A\u011f<\/th>\n<td>1x QSFP28, 4x 25GbE<\/td>\n<\/tr>\n<tr>\n<th>Kablosuz A\u011f<\/th>\n<td>Wi-Fi 6E<\/td>\n<\/tr>\n<tr>\n<th>USB<\/th>\n<td>2x USB-A 3.2, 2x USB-C 3.1<\/td>\n<\/tr>\n<tr>\n<th>G\u00f6r\u00fcnt\u00fc \u00c7\u0131k\u0131\u015flar\u0131<\/th>\n<td>HDMI 2.0b, 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>G\u00fc\u00e7<\/th>\n<td>40 W \u2013 130 W<\/td>\n<\/tr>\n<tr>\n<th>Boyutlar<\/th>\n<td>243.19 \u00d7 112.40 \u00d7 56.88 mm<\/td>\n<\/tr>\n<tr>\n<th>\u00dcr\u00fcn Tipi<\/th>\n<td>Developer Kit<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/div>\n<h2>Fiziksel AI ve Robotik Uygulamalar\u0131<\/h2>\n<p>\n    NVIDIA IGX Thor Developer Kit Mini, ger\u00e7ek zamanl\u0131 robotik uygulamalar\u0131n geli\u015ftirilmesini hedefler. \u00d6zellikle Blackwell GPU, g\u00f6r\u00fcnt\u00fc i\u015fleme ve yapay zeka \u00e7\u0131kar\u0131m\u0131 gibi yo\u011fun g\u00f6revlerde y\u00fcksek i\u015flem kapasitesi sunar.\n  <\/p>\n<p>\n    Bununla birlikte 14 \u00e7ekirdek Arm Neoverse-V3AE CPU, genel sistem g\u00f6revlerini y\u00f6netir. B\u00f6ylece CPU ve GPU farkl\u0131 i\u015f y\u00fcklerini ayn\u0131 platform \u00fczerinde birlikte \u00e7al\u0131\u015ft\u0131rabilir.\n  <\/p>\n<p>\n    Bellek taraf\u0131nda 128 GB LPDDR5X kapasite bulunur. 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<p>\n    Y\u00fcksek h\u0131zl\u0131 a\u011f altyap\u0131s\u0131 ise sens\u00f6r verilerinin sisteme aktar\u0131lmas\u0131n\u0131 kolayla\u015ft\u0131r\u0131r. Dolay\u0131s\u0131yla kamera, lidar ve di\u011fer veri kaynaklar\u0131n\u0131 kullanan robotik projeler i\u00e7in g\u00fc\u00e7l\u00fc bir ba\u011flant\u0131 altyap\u0131s\u0131 olu\u015fur.\n  <\/p>\n<h2>Kompakt ve Y\u00fcksek H\u0131zl\u0131 Ba\u011flant\u0131 Altyap\u0131s\u0131<\/h2>\n<p>\n    Developer Kit Mini, 1 TB NVMe depolama ile AI modelleri ve geli\u015ftirme dosyalar\u0131 i\u00e7in geni\u015f alan sa\u011flar. Bunun yan\u0131nda Wi-Fi 6E deste\u011fi, kablosuz test senaryolar\u0131nda daha esnek kullan\u0131m sunar.\n  <\/p>\n<p>\n    A\u011f taraf\u0131nda 5GbE RJ45 ile QSFP28 ba\u011flant\u0131lar\u0131 birlikte yer al\u0131r. B\u00f6ylece standart Ethernet ba\u011flant\u0131s\u0131n\u0131n yan\u0131 s\u0131ra y\u00fcksek bant geni\u015fli\u011fi gerektiren 25GbE tabanl\u0131 ba\u011flant\u0131lar da kullan\u0131labilir.\n  <\/p>\n<p>\n    G\u00f6r\u00fcnt\u00fc \u00e7\u0131k\u0131\u015flar\u0131 aras\u0131nda HDMI 2.0b ve DisplayPort 1.4a bulunur. Buna ek olarak USB ve CAN ba\u011flant\u0131lar\u0131, \u00e7e\u015fitli sens\u00f6r ve \u00e7evre birimlerinin sisteme ba\u011flanmas\u0131n\u0131 kolayla\u015ft\u0131r\u0131r.\n  <\/p>\n<h2>Geli\u015ftirme ve Prototipleme<\/h2>\n<p>\n    Developer Kit Mini, IGX T5000 mod\u00fcl\u00fc \u00fczerine kurulu bir geli\u015ftirme sistemidir. \u00d6zellikle fiziksel AI ve robotik uygulamalar\u0131n geli\u015ftirme, test ve do\u011frulama a\u015famalar\u0131nda kullan\u0131labilir.\n  <\/p>\n<p>\n    Ayr\u0131ca Multi-Instance GPU deste\u011fi, GPU kaynaklar\u0131n\u0131 farkl\u0131 uygulamalara ay\u0131rmay\u0131 kolayla\u015ft\u0131r\u0131r. Bu sayede geli\u015ftiriciler birden fazla AI i\u015f y\u00fck\u00fcn\u00fc ayn\u0131 platform \u00fczerinde test edebilir.\n  <\/p>\n<p>\n    Sonu\u00e7 olarak IGX Thor Developer Kit Mini; Blackwell GPU, Arm CPU, y\u00fcksek kapasiteli bellek ve geli\u015fmi\u015f a\u011f ba\u011flant\u0131lar\u0131n\u0131 kompakt bir sistemde bir araya getirir. B\u00f6ylece robotik ve fiziksel AI projeleri i\u00e7in g\u00fc\u00e7l\u00fc bir geli\u015ftirme ortam\u0131 sunar.\n  <\/p>\n<h2>Kullan\u0131m Alanlar\u0131<\/h2>\n<div class=\"gtm-apps\">\n    <span>Robotik<\/span><br \/>\n    <span>Fiziksel AI<\/span><br \/>\n    <span>Edge AI<\/span><br \/>\n    <span>Sens\u00f6r F\u00fczyonu<\/span><br \/>\n    <span>G\u00f6r\u00fcnt\u00fc \u0130\u015fleme<\/span><br \/>\n    <span>AI Prototipleme<\/span><br \/>\n    <span>End\u00fcstriyel AI<\/span>\n  <\/div>\n<\/article>\n","protected":false},"excerpt":{"rendered":"<p>NVIDIA IGX Thor Developer Kit Mini, Blackwell GPU, 14 \u00e7ekirdek Arm Neoverse-V3AE CPU, 128 GB LPDDR5X bellek ve 2070 FP4 Sparse TFLOPS\u2019a kadar AI performans\u0131yla robotik ve fiziksel AI geli\u015ftirme projeleri i\u00e7in kompakt bir platform sunar.<\/p>\n","protected":false},"featured_media":14465,"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-14464","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 Thor Developer Kit Mini | Edge AI<\/title>\n<meta name=\"description\" content=\"NVIDIA IGX Thor Developer Kit Mini; 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