{"id":18983,"date":"2026-09-16T20:14:28","date_gmt":"2026-09-16T13:14:28","guid":{"rendered":"https:\/\/droneth.or.th\/product\/nvidia-rtx-6000-ada-generation\/"},"modified":"2026-09-16T20:14:28","modified_gmt":"2026-09-16T13:14:28","slug":"nvidia-rtx-6000-ada-generation","status":"publish","type":"product","link":"https:\/\/droneth.or.th\/ko\/product\/nvidia-rtx-6000-ada-generation\/","title":{"rendered":"NVIDIA RTX 6000 Ada Generation"},"content":{"rendered":"<p><strong>NVIDIA RTX 6000 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>\ubd80\ubd84<\/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>\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 GPU<\/strong><\/td>\n<td>Ada Lovelace (AD102) | Ada Lovelace (AD102)<\/td>\n<\/tr>\n<tr>\n<td><strong>CUDA \ucf54\uc5b4<\/strong><\/td>\n<td>18,176 | 18,176<\/td>\n<\/tr>\n<tr>\n<td><strong>Tensor Cores (Gen 4)<\/strong><\/td>\n<td>568 | 568<\/td>\n<\/tr>\n<tr>\n<td><strong>RT Cores (Gen 3)<\/strong><\/td>\n<td>142 | 142<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e4d\u0e32<\/strong><\/td>\n<td>48 GB GDDR6 ECC, 384\u2010bit, 960 GB\/s | 48 GB GDDR6 ECC, 384\u2010bit, 960 GB\/s<\/td>\n<\/tr>\n<tr>\n<td><strong>FP32 Performance<\/strong><\/td>\n<td>~91.1 TFLOPS | ~91.1 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td><strong>RT Performance<\/strong><\/td>\n<td>~210.6 TFLOPS | ~210.6 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td><strong>\ud150\uc11c \uc131\ub2a5<\/strong><\/td>\n<td>~1,457 TFLOPS (FP8 w\/ sparsity) | ~1,457 TFLOPS (FP8 with sparsity)<\/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<\/strong><\/td>\n<td>300 W | 300 W<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e1a\u0e31\u0e2a\u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e21\u0e15\u0e48\u0e2d<\/strong><\/td>\n<td>PCIe 4.0 x16 | PCIe 4.0 x16<\/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 | 4\u00d7 DisplayPort 1.4a<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e23\u0e30\u0e1a\u0e1a\u0e23\u0e30\u0e1a\u0e32\u0e22\u0e04\u0e27\u0e32\u0e21\u0e23\u0e49\u0e2d\u0e19<\/strong><\/td>\n<td>Active blower, dual-slot | Active blower, dual-slot<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a vGPU<\/strong><\/td>\n<td>vPC\/vApps, vWS, \u0e2b\u0e25\u0e32\u0e22\u0e42\u0e1b\u0e23\u0e44\u0e1f\u0e25\u0e4c vGPU | Supports vPC\/vApps &amp; RTX vWS, multiple vGPU profiles<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e02\u0e19\u0e32\u0e14 \/ \u0e19\u0e49\u0e4d\u0e32\u0e2b\u0e19\u0e31\u0e01<\/strong><\/td>\n<td>~4.4\u2032\u2032 \u00d7 10.5\u2032\u2032 (\u2248112 mm), ~1.18 kg | ~4.4\u2032\u2032 \u00d7 10.5\u2032\u2032 (\u2248112 mm), ~1.18 kg<\/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>18,176 CUDA Cores<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>568 Tensor Cores<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>142 RT Cores<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>48GB GDDR6 Memory with ECC<\/td>\n<\/tr>\n<tr>\n<td><strong>\uba54\ubaa8\ub9ac \ub300\uc5ed\ud3ed<\/strong><\/td>\n<td>960 GB\/s<\/td>\n<\/tr>\n<tr>\n<td><strong>Max. Power Consumption<\/strong><\/td>\n<td>300W<\/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>Technical detail<\/strong><\/td>\n<td>Support NVIDIA vGPU software<\/td>\n<\/tr>\n<tr>\n<td><strong>\ub514\uc2a4\ud50c\ub808\uc774 \uc5f0\uacb0 \ud3ec\ud2b8<\/strong><\/td>\n<td>DP 1.4 (4)<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>NVIDIA RTX 6000 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\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14\u0e17\u0e35\u0e48\u0e02\u0e31\u0e1a\u0e40\u0e04\u0e25\u0e37\u0e48\u0e2d\u0e19\u0e14\u0e49\u0e27\u0e22\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 Ada Lovelace \u0e43\u0e2b\u0e21\u0e48\u0e08\u0e32\u0e01 NVIDIA \u0e21\u0e32\u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e4d\u0e32\u0e43\u0e2b\u0e0d\u0e48\u0e16\u0e36\u0e07 48 GB GDDR6 ECC \u0e41\u0e25\u0e30\u0e41\u0e01\u0e19 CUDA, RT, \u0e41\u0e25\u0e30 Tensor \u0e23\u0e38\u0e48\u0e19\u0e25\u0e48\u0e32\u0e2a\u0e38\u0e14 \u0e40\u0e2b\u0e21\u0e32\u0e30\u0e01\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25\u0e01\u0e23\u0e32\u0e1f\u0e34\u0e01\u0e02\u0e31\u0e49\u0e19\u0e2a\u0e39\u0e07, \u0e01\u0e32\u0e23\u0e40\u0e23\u0e35\u0e22\u0e19\u0e23\u0e39\u0e49\u0e14\u0e49\u0e27\u0e22 AI \u0e41\u0e25\u0e30\u0e07\u0e32\u0e19\u0e40\u0e23\u0e19\u0e40\u0e14\u0e2d\u0e23\u0e4c\u0e40\u0e23\u0e35\u0e22\u0e25\u0e44\u0e17\u0e21\u0e4c\u0e02\u0e31\u0e49\u0e19\u0e2a\u0e39\u0e07\u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e21\u0e37\u0e2d\u0e2d\u0e32\u0e0a\u0e35\u0e1e\u0e43\u0e19\u0e20\u0e32\u0e04\u0e27\u0e34\u0e28\u0e27\u0e01\u0e23\u0e23\u0e21 \u0e01\u0e32\u0e23\u0e2d\u0e2d\u0e01\u0e41\u0e1a\u0e1a \u0e41\u0e25\u0e30\u0e40\u0e19\u0e37\u0e49\u0e2d\u0e2b\u0e32\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e2a\u0e23\u0e23\u0e04\u0e4c\u0e15\u0e48\u0e32\u0e07 \u0e46<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The NVIDIA RTX 6000 Ada Generation is a top-tier workstation GPU powered by NVIDIA\u2019s latest Ada Lovelace architecture. Equipped with 48 GB of GDDR6 ECC memory, along with advanced CUDA, RT, and Tensor cores, it\u2019s engineered for high-end graphics rendering, AI training, and real-time simulations\u2014making it a powerhouse for professionals in engineering, design, content creation, and more<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The RTX 6000 Ada Generation represents the pinnacle of workstation GPUs by combining NVIDIA\u2019s Ada Lovelace architecture with a massive 48 GB of GDDR6 ECC memory\u2014perfect for high-demand tasks like 3D simulation and large-scale AI. Featuring next-gen RT and Tensor cores, it delivers lightning-fast rendering and deep learning performance. It\u2019s built for continuous enterprise use with an active blower cooling system and offers flexible resource allocation through vGPU support. This makes it a top-tier choice for organizations requiring elite performance and virtualization-ready capability.<\/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 6000 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":19247,"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-18983","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\/ko\/wp-json\/wp\/v2\/product\/18983","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/comments?post=18983"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/media\/19247"}],"wp:attachment":[{"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/media?parent=18983"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/product_brand?post=18983"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/product_cat?post=18983"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/product_tag?post=18983"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}