{"id":19001,"date":"2026-09-16T20:14:35","date_gmt":"2026-09-16T13:14:35","guid":{"rendered":"https:\/\/droneth.or.th\/product\/nvidia-t400%ef%b8%b1t400-4gb\/"},"modified":"2026-09-16T20:14:35","modified_gmt":"2026-09-16T13:14:35","slug":"nvidia-t400%ef%b8%b1t400-4gb","status":"publish","type":"product","link":"https:\/\/droneth.or.th\/zh\/product\/nvidia-t400%ef%b8%b1t400-4gb\/","title":{"rendered":"NVIDIA T400\u2014T400 4GB"},"content":{"rendered":"<p><strong>NVIDIA T400\u2014T400 4GB<\/strong> \u0e40\u0e1b\u0e47\u0e19 Professional GPU \u0e08\u0e32\u0e01 <strong>NVIDIA<\/strong> \u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19 professional visualization, AI inference, CAD, content creation \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e2d\u0e07\u0e04\u0e4c\u0e01\u0e23 \u0e28\u0e39\u0e19\u0e22\u0e4c\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25 \u0e41\u0e25\u0e30\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22\u0e14\u0e49\u0e32\u0e19 AI\/HPC<\/p>\n<p><strong>\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19\u0e17\u0e35\u0e48\u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e21<\/strong><\/p>\n<ul>\n<li>professional visualization<\/li>\n<li>AI inference<\/li>\n<li>CAD<\/li>\n<li>content creation<\/li>\n<\/ul>\n<p><strong>\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e17\u0e32\u0e07\u0e40\u0e17\u0e04\u0e19\u0e34\u0e04 (Product Specifications)<\/strong><\/p>\n<table style=\"width:100%\">\n<thead>\n<tr>\n<td><strong>\u90e8\u5206<\/strong><\/td>\n<td><strong>\u0e23\u0e32\u0e22\u0e25\u0e30\u0e40\u0e2d\u0e35\u0e22\u0e14\u0e2a\u0e40\u0e1b\u0e04<\/strong><\/td>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>\u0e23\u0e32\u0e22\u0e01\u0e32\u0e23 (Specification)<\/strong><\/td>\n<td>\u0e23\u0e32\u0e22\u0e25\u0e30\u0e40\u0e2d\u0e35\u0e22\u0e14 (\u0e44\u0e17\u0e22) | Description (EN)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 (Architecture)<\/strong><\/td>\n<td>Turing (TU117) | Turing (TU117)<\/td>\n<\/tr>\n<tr>\n<td><strong>CUDA\u6838\u5fc3<\/strong><\/td>\n<td>384 \u0e04\u0e2d\u0e23\u0e4c | 384 cores<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e4d\u0e32 (Memory)<\/strong><\/td>\n<td>4 GB GDDR6 | 4 GB GDDR6<\/td>\n<\/tr>\n<tr>\n<td><strong>Memory Interface \/ Bandwidth<\/strong><\/td>\n<td>64\u2010bit \/ ~80 GB\/s | 64\u2010bit \/ ~80 GB\/s<\/td>\n<\/tr>\n<tr>\n<td><strong>Clock Speeds<\/strong><\/td>\n<td>Base 420 MHz \u2014 Boost 1,425 MHz, Memory 1,250 MHz (10 Gbps) | Base 420 MHz \u2014 Boost 1,425 MHz, Memory 1,250 MHz<\/td>\n<\/tr>\n<tr>\n<td><strong>FP32 Performance<\/strong><\/td>\n<td>~1.094 TFLOPS | ~1.094 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td><strong>Power Consumption (TDP)<\/strong><\/td>\n<td>30 W (\u0e44\u0e21\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e43\u0e0a\u0e49\u0e2a\u0e32\u0e22\u0e44\u0e1f\u0e40\u0e2a\u0e23\u0e34\u0e21) | 30 W (no auxiliary power)<\/td>\n<\/tr>\n<tr>\n<td><strong>Interface &amp; Form Factor<\/strong><\/td>\n<td>PCIe 3.0 x16, single\u2010slot, ~68\u00d7155 mm | PCIe 3.0 x16, single\u2010slot, ~68\u00d7155 mm<\/td>\n<\/tr>\n<tr>\n<td><strong>Display Outputs<\/strong><\/td>\n<td>3\u00d7 mini dp 1.4a (3\u00d7 5K @60Hz or 4K @120Hz) | 3\u00d7 mini DisplayPort 1.4a (3\u00d7 5K @60Hz or 4K @120Hz)<\/td>\n<\/tr>\n<tr>\n<td><strong>Professional Features<\/strong><\/td>\n<td>Mesh Shading, VRS, HDR, Stereo, CUDA, NVENC\/DEC, Enterprise tools | Mesh Shading, VRS, HDR, Stereo, CUDA, NVENC\/DEC, Enterprise tools<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>NVIDIA Turing GPU architecture<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>384 NVIDIA CUDA Cores<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>2GB\/4GB GDDR6 Memory<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>Up to 80GB\/s Memory Bandwidth<\/td>\n<\/tr>\n<tr>\n<td><strong>Max. Power Consumption<\/strong><\/td>\n<td>30W<\/td>\n<\/tr>\n<tr>\n<td><strong>Graphics Bus<\/strong><\/td>\n<td>PCI-E 3.0 x16<\/td>\n<\/tr>\n<tr>\n<td><strong>\u663e\u793a\u63a5\u53e3<\/strong><\/td>\n<td>mDP 1.4 (3)<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>NVIDIA T400 4GB \u0e04\u0e37\u0e2d\u0e01\u0e32\u0e23\u0e4c\u0e14\u0e01\u0e23\u0e32\u0e1f\u0e34\u0e01\u0e40\u0e27\u0e34\u0e23\u0e4c\u0e01\u0e2a\u0e40\u0e15\u0e0a\u0e31\u0e19\u0e23\u0e30\u0e14\u0e31\u0e1a entry\u2010level \u0e17\u0e35\u0e48\u0e43\u0e0a\u0e49\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 Turing \u0e2d\u0e2d\u0e01\u0e41\u0e1a\u0e1a\u0e43\u0e19\u0e23\u0e39\u0e1b\u0e41\u0e1a\u0e1a single\u2010slot, low\u2010profile \u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19 CAD, DCC, \u0e27\u0e34\u0e0a\u0e27\u0e25\u0e44\u0e25\u0e40\u0e0b\u0e0a\u0e31\u0e19 \u0e41\u0e25\u0e30\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19\u0e2b\u0e25\u0e32\u0e22\u0e08\u0e2d\u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e01\u0e31\u0e19 \u0e21\u0e32\u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e4d\u0e32 GDDR6 4 GB \u0e41\u0e25\u0e30\u0e43\u0e0a\u0e49\u0e44\u0e1f\u0e40\u0e1e\u0e35\u0e22\u0e07 30 W \u2014 \u0e08\u0e36\u0e07\u0e40\u0e1b\u0e47\u0e19\u0e15\u0e31\u0e27\u0e40\u0e25\u0e37\u0e2d\u0e01\u0e17\u0e35\u0e48\u0e40\u0e22\u0e35\u0e48\u0e22\u0e21\u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e40\u0e27\u0e34\u0e23\u0e4c\u0e01\u0e2a\u0e40\u0e15\u0e0a\u0e31\u0e19\u0e02\u0e19\u0e32\u0e14\u0e01\u0e30\u0e17\u0e31\u0e14\u0e23\u0e31\u0e14\u0e17\u0e35\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The NVIDIA T400 4GB is an entry-level workstation GPU based on the Turing architecture. Designed as a compact single-slot, low-profile card, it is ideal for CAD, DCC, visualization, and multi-display workflows. Equipped with 4 GB GDDR6 memory and consuming just 30 W, it\u2019s an excellent choice for small-form-factor systems requiring reliable performance<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The NVIDIA T400 4GB is an entry-level workstation GPU designed for professionals who need power in a compact form. With Turing architecture, 384 cores, and 4 GB of GDDR6 memory, it delivers around 1.1 TFLOPS of compute performance while consuming just 30 W. Supporting up to three 5K displays or 4K at 120 Hz, it fits small systems with ease and includes enterprise-grade features like Mesh Shading, VRS, HDR, and multi-display management tools\u2014enabling professional workflows in space-constrained environments.<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>Condition &amp; Warranty<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>\u2714 Fully tested and 100% working \u2714 Secure packaging for safe shipping \u2714 Warranty available (subject to store policy)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u0e2a\u0e19\u0e43\u0e08\u0e2a\u0e2d\u0e1a\u0e16\u0e32\u0e21\u0e23\u0e32\u0e04\u0e32 \u0e2a\u0e40\u0e1b\u0e04 \u0e2b\u0e23\u0e37\u0e2d\u0e02\u0e2d\u0e43\u0e1a\u0e40\u0e2a\u0e19\u0e2d\u0e23\u0e32\u0e04\u0e32 \u0e15\u0e34\u0e14\u0e15\u0e48\u0e2d\u0e44\u0e14\u0e49\u0e17\u0e35\u0e48 <strong>LINE: @metaxr<\/strong><\/p>","protected":false},"excerpt":{"rendered":"<p><strong>NVIDIA T400\u2014T400 4GB<\/strong> \u0e40\u0e1b\u0e47\u0e19 Professional GPU \u0e08\u0e32\u0e01 <strong>NVIDIA<\/strong> \u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19 professional visualization, AI inference, CAD, content creation \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e2d\u0e07\u0e04\u0e4c\u0e01\u0e23 \u0e28\u0e39\u0e19\u0e22\u0e4c\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25 \u0e41\u0e25\u0e30\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22\u0e14\u0e49\u0e32\u0e19 AI\/HPC<\/p>\n<div style=\"width: 100%; text-align: center; padding: 24px 0;\"><a style=\"display: inline-block; background-color: #06c755; color: #ffffff; font-size: 16px; font-weight: bold; text-decoration: none; padding: 14px 32px; border-radius: 50px; box-shadow: 0 4px 12px rgba(6,199,85,0.4); white-space: nowrap;\" href=\"https:\/\/page.line.me\/682mqqmh?openQrModal=true\" target=\"_blank\" rel=\"noopener\">\u0e2a\u0e2d\u0e1a\u0e16\u0e32\u0e21\u0e23\u0e32\u0e04\u0e32 \/ \u0e2a\u0e31\u0e48\u0e07\u0e0b\u0e37\u0e49\u0e2d LINE: @metaxr<\/a><\/div>","protected":false},"featured_media":19265,"comment_status":"closed","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":"","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-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":"","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-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":"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":""},"mobile":{"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":""}}},"product_brand":[],"product_cat":[392,384],"product_tag":[237,397,396],"class_list":{"0":"post-19001","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-professional-gpu","7":"product_cat-gpu-ai-server","8":"product_tag-ai-","9":"product_tag-gpu","10":"product_tag-nvidia","11":"desktop-align-left","12":"tablet-align-left","13":"mobile-align-left","15":"first","16":"instock","17":"shipping-taxable","18":"product-type-simple"},"acf":[],"_links":{"self":[{"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/product\/19001","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/comments?post=19001"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/media\/19265"}],"wp:attachment":[{"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/media?parent=19001"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/product_brand?post=19001"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/product_cat?post=19001"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/product_tag?post=19001"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}