{"id":18978,"date":"2026-09-16T20:14:26","date_gmt":"2026-09-16T13:14:26","guid":{"rendered":"https:\/\/droneth.or.th\/product\/nvidia-rtx-4000-ada-generation\/"},"modified":"2026-09-16T20:14:26","modified_gmt":"2026-09-16T13:14:26","slug":"nvidia-rtx-4000-ada-generation","status":"publish","type":"product","link":"https:\/\/droneth.or.th\/en\/product\/nvidia-rtx-4000-ada-generation\/","title":{"rendered":"NVIDIA RTX 4000 Ada Generation"},"content":{"rendered":"<p><strong>NVIDIA RTX 4000 Ada Generation<\/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>section<\/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>\u0e04\u0e38\u0e13\u0e2a\u0e21\u0e1a\u0e31\u0e15\u0e34 (\u0e44\u0e17\u0e22)<\/strong><\/td>\n<td>Feature (English)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 GPU<\/strong><\/td>\n<td>Ada Lovelace (AD104, 5 nm)<\/td>\n<\/tr>\n<tr>\n<td><strong>CUDA Cores<\/strong><\/td>\n<td>6,144 Cores<\/td>\n<\/tr>\n<tr>\n<td><strong>Tensor Cores<\/strong><\/td>\n<td>192 (4th Gen)<\/td>\n<\/tr>\n<tr>\n<td><strong>RT Cores<\/strong><\/td>\n<td>48 (3rd Gen)<\/td>\n<\/tr>\n<tr>\n<td><strong>FP32 Single\u2010Precision Performance<\/strong><\/td>\n<td>~26.7 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td><strong>RT Core Performance<\/strong><\/td>\n<td>~61.8 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td><strong>Tensor Performance (FP8)<\/strong><\/td>\n<td>~327.6 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e4d\u0e32 GPU<\/strong><\/td>\n<td>20 GB GDDR6 with ECC<\/td>\n<\/tr>\n<tr>\n<td><strong>Memory Interface<\/strong><\/td>\n<td>160\u2010bit<\/td>\n<\/tr>\n<tr>\n<td><strong>Memory Bandwidth<\/strong><\/td>\n<td>~360 GB\/s<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e2d\u0e34\u0e19\u0e40\u0e17\u0e2d\u0e23\u0e4c\u0e40\u0e1f\u0e0b\u0e23\u0e30\u0e1a\u0e1a<\/strong><\/td>\n<td>PCIe 4.0 x16<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e1e\u0e25\u0e31\u0e07\u0e07\u0e32\u0e19\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 (TDP)<\/strong><\/td>\n<td>~130 W<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e1e\u0e2d\u0e23\u0e4c\u0e15\u0e41\u0e2a\u0e14\u0e07\u0e1c\u0e25<\/strong><\/td>\n<td>4\u00d7 DisplayPort 1.4a<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e23\u0e39\u0e1b\u0e41\u0e1a\u0e1a\u0e01\u0e32\u0e23\u0e4c\u0e14 &amp; \u0e02\u0e19\u0e32\u0e14<\/strong><\/td>\n<td>Single\u2010slot, ~4.4\u2032\u2032 H \u00d7 9.5\u2032\u2032 L, \u0e43\u0e0a\u0e49\u0e1e\u0e31\u0e14\u0e25\u0e21\u0e41\u0e1a\u0e1a Blower<\/td>\n<\/tr>\n<tr>\n<td><strong>NVENC \/ NVDEC<\/strong><\/td>\n<td>2\u00d7 encode \/ 2\u00d7 decode (\u0e23\u0e27\u0e21 AV1)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19\u0e21\u0e37\u0e2d\u0e2d\u0e32\u0e0a\u0e35\u0e1e<\/strong><\/td>\n<td>ECC Memory, Quadro Sync II, GPUDirect, Mosaic, Frame Lock<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e19\u0e49\u0e4d\u0e32\u0e2b\u0e19\u0e31\u0e01<\/strong><\/td>\n<td>~528 g<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e40\u0e1b\u0e34\u0e14\u0e15\u0e31\u0e27<\/strong><\/td>\n<td>\u0e2a\u0e34\u0e07\u0e2b\u0e32\u0e04\u0e21 2023<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>Ada Lovelace GPU architecture<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>20GB GDDR6 Memory with ECC<\/td>\n<\/tr>\n<tr>\n<td><strong>Max. Power Consumption<\/strong><\/td>\n<td>130W<\/td>\n<\/tr>\n<tr>\n<td><strong>Graphics Bus<\/strong><\/td>\n<td>PCI-E 4.0 x16<\/td>\n<\/tr>\n<tr>\n<td><strong>Display Connectors<\/strong><\/td>\n<td>DP 1.4a (4)<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>NVIDIA RTX 4000 Ada Generation \u0e04\u0e37\u0e2d\u0e01\u0e23\u0e32\u0e1f\u0e34\u0e01\u0e01\u0e32\u0e23\u0e4c\u0e14\u0e40\u0e27\u0e34\u0e23\u0e4c\u0e01\u0e2a\u0e40\u0e15\u0e0a\u0e31\u0e19\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e42\u0e1b\u0e23\u0e17\u0e35\u0e48\u0e17\u0e23\u0e07\u0e1e\u0e25\u0e31\u0e07\u0e17\u0e35\u0e48\u0e2a\u0e38\u0e14\u0e43\u0e19\u0e23\u0e39\u0e1b\u0e41\u0e1a\u0e1a single\u2010slot \u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 Ada Lovelace \u0e21\u0e2d\u0e1a\u0e1e\u0e25\u0e31\u0e07 CUDA, Tensor, \u0e41\u0e25\u0e30 RT Cores \u0e23\u0e38\u0e48\u0e19\u0e25\u0e48\u0e32\u0e2a\u0e38\u0e14 \u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e4d\u0e32 ECC GDDR6 \u0e02\u0e19\u0e32\u0e14 20 GB \u0e17\u0e35\u0e48\u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19\u0e2d\u0e2d\u0e01\u0e41\u0e1a\u0e1a \u0e27\u0e34\u0e28\u0e27\u0e01\u0e23\u0e23\u0e21 \u0e01\u0e32\u0e23\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e40\u0e19\u0e37\u0e49\u0e2d\u0e2b\u0e32 \u0e41\u0e25\u0e30\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19 AI \u0e40\u0e09\u0e1e\u0e32\u0e30\u0e17\u0e32\u0e07\u0e43\u0e19\u0e2a\u0e20\u0e32\u0e1e\u0e41\u0e27\u0e14\u0e25\u0e49\u0e2d\u0e21\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e21\u0e37\u0e2d\u0e2d\u0e32\u0e0a\u0e35\u0e1e\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e40\u0e27\u0e34\u0e23\u0e4c\u0e01\u0e2a\u0e40\u0e15\u0e0a\u0e31\u0e19\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e2a\u0e39\u0e07<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The NVIDIA RTX 4000 Ada Generation is a professional-grade workstation GPU\u2014the most powerful single\u2010slot GPU available. Built on the Ada Lovelace architecture, it integrates the latest CUDA, Tensor, and RT Cores with 20 GB of ECC GDDR6 memory, delivering high-performance computing tailored for design, engineering, content creation, and AI workflows in compact workstation setups<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The RTX 4000 Ada Generation is a single\u2010slot workstation GPU that delivers powerful AI, rendering, and graphics performance in a space-efficient form. With 20 GB ECC memory, pro-grade features like Quadro Sync II and GPUDirect, and modern video encode\/decode capabilities, it\u2019s tailored for enterprise workstation environments needing compact yet reliable high-performance solutions<\/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 RTX 4000 Ada Generation<\/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":19223,"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-18978","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\/en\/wp-json\/wp\/v2\/product\/18978","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/comments?post=18978"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/media\/19223"}],"wp:attachment":[{"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/media?parent=18978"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/product_brand?post=18978"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/product_cat?post=18978"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/product_tag?post=18978"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}