{"id":18948,"date":"2026-09-16T20:14:18","date_gmt":"2026-09-16T13:14:18","guid":{"rendered":"https:\/\/droneth.or.th\/product\/nvidia-a800-40gb-active\/"},"modified":"2026-09-16T20:14:18","modified_gmt":"2026-09-16T13:14:18","slug":"nvidia-a800-40gb-active","status":"publish","type":"product","link":"https:\/\/droneth.or.th\/en\/product\/nvidia-a800-40gb-active\/","title":{"rendered":"NVIDIA A800 40GB Active"},"content":{"rendered":"<p><strong>NVIDIA A800 40GB Active<\/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>\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 \/ Architecture<\/strong><\/td>\n<td>NVIDIA Ampere | NVIDIA Ampere<\/td>\n<\/tr>\n<tr>\n<td><strong>CUDA Cores<\/strong><\/td>\n<td>6,912 | 6,912<\/td>\n<\/tr>\n<tr>\n<td><strong>Tensor Cores (Gen 3)<\/strong><\/td>\n<td>432 | 432<\/td>\n<\/tr>\n<tr>\n<td><strong>FP64 (double\u2010precision)<\/strong><\/td>\n<td>~9.7 TFLOPS | ~9.7 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td><strong>FP32 (single\u2010precision)<\/strong><\/td>\n<td>~19.5 TFLOPS | ~19.5 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td><strong>Tensor Performance (TF32 \/ INT8)<\/strong><\/td>\n<td>~311.8 TFLOPS (TF32), 1,247.4 TOPS (INT8, sparsity) | ~311.8 TFLOPS (TF32), 1,247.4 TOPS (INT8, sparsity)<\/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>40 GB HBM2, 5,120\u2010bit, ~1,555 GB\/s | 40 GB HBM2, 5,120\u2010bit, ~1,555 GB\/s<\/td>\n<\/tr>\n<tr>\n<td><strong>MIG (\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07)<\/strong><\/td>\n<td>\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 7 \u0e2d\u0e34\u0e19\u0e2a\u0e41\u0e15\u0e19\u0e0b\u0e4c | Up to 7 instances<\/td>\n<\/tr>\n<tr>\n<td><strong>NVLink<\/strong><\/td>\n<td>2\u2010way, 400 GB\/s \u0e17\u0e34\u0e28\u0e17\u0e32\u0e07\u0e2a\u0e2d\u0e07\u0e17\u0e32\u0e07 | 2\u2010way, 400 GB\/s bidirectional<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e1a\u0e31\u0e2a\u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e21\u0e15\u0e48\u0e2d \/ Bus Interface<\/strong><\/td>\n<td>PCIe 4.0 x16 | PCIe 4.0 x16<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e23\u0e30\u0e1a\u0e32\u0e22\u0e04\u0e27\u0e32\u0e21\u0e23\u0e49\u0e2d\u0e19 \/ Thermal<\/strong><\/td>\n<td>Active (\u0e1e\u0e31\u0e14\u0e25\u0e21) | Active cooling<\/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 \/ Power<\/strong><\/td>\n<td>240 W | 240 W<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e1f\u0e2d\u0e23\u0e4c\u0e21\u0e41\u0e1f\u0e04\u0e40\u0e15\u0e2d\u0e23\u0e4c \/ Form Factor<\/strong><\/td>\n<td>~4.4\u201d \u00d7 10.5\u201d, Dual\u2010Slot | ~4.4\u201d \u00d7 10.5\u201d, Dual\u2010Slot<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e1e\u0e2d\u0e23\u0e4c\u0e15\u0e41\u0e2a\u0e14\u0e07\u0e1c\u0e25 \/ Display Outputs<\/strong><\/td>\n<td>\u0e44\u0e21\u0e48\u0e21\u0e35 \u0e15\u0e49\u0e2d\u0e07\u0e43\u0e0a\u0e49\u0e01\u0e32\u0e23\u0e4c\u0e14 RTX \u0e40\u0e2a\u0e23\u0e34\u0e21 | None \u2013 requires companion RTX GPU for display output<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>Ampere GPU Architecture<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>40GB HBM2 memory<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>Powerful double precision computing<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>Support Multi-Instance GPU (MIG)<\/td>\n<\/tr>\n<tr>\n<td><strong>Max. Power Consumption<\/strong><\/td>\n<td>240W<\/td>\n<\/tr>\n<tr>\n<td><strong>Graphics Interface<\/strong><\/td>\n<td>PCI-E 4.0 x16<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>Support 2-way NVLink<\/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>Technical detail<\/strong><\/td>\n<td>NVIDIA A800 40 GB Active \u0e04\u0e37\u0e2d\u0e01\u0e32\u0e23\u0e4c\u0e14\u0e01\u0e23\u0e32\u0e1f\u0e34\u0e01\u0e04\u0e27\u0e32\u0e21\u0e41\u0e23\u0e07\u0e2a\u0e39\u0e07\u0e17\u0e35\u0e48\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e02\u0e36\u0e49\u0e19\u0e1a\u0e19\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 Ampere \u0e2d\u0e2d\u0e01\u0e41\u0e1a\u0e1a\u0e21\u0e32\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19\u0e14\u0e49\u0e32\u0e19 AI, \u0e27\u0e34\u0e17\u0e22\u0e32\u0e28\u0e32\u0e2a\u0e15\u0e23\u0e4c\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25 \u0e41\u0e25\u0e30\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25\u0e2a\u0e21\u0e23\u0e23\u0e16\u0e19\u0e30\u0e2a\u0e39\u0e07 (HPC) \u0e43\u0e19\u0e40\u0e27\u0e34\u0e23\u0e4c\u0e01\u0e2a\u0e40\u0e15\u0e0a\u0e31\u0e19 \u0e21\u0e32\u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e4d\u0e32 HBM2 \u0e02\u0e19\u0e32\u0e14\u0e43\u0e2b\u0e0d\u0e48\u0e16\u0e36\u0e07 40 GB \u0e41\u0e25\u0e30\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e1f\u0e35\u0e40\u0e08\u0e2d\u0e23\u0e4c\u0e2a\u0e4d\u0e32\u0e04\u0e31\u0e0d\u0e2d\u0e22\u0e48\u0e32\u0e07 Third\u2010Gen Tensor Cores, NVLink, \u0e41\u0e25\u0e30 Multi\u2010Instance GPU (MIG) \u0e0b\u0e36\u0e48\u0e07\u0e0a\u0e48\u0e27\u0e22\u0e43\u0e2b\u0e49\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25\u0e17\u0e4d\u0e32\u0e44\u0e14\u0e49\u0e40\u0e23\u0e47\u0e27 \u0e0a\u0e31\u0e14 \u0e41\u0e25\u0e30\u0e21\u0e35\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e1c\u0e39\u0e49\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e2d\u0e07\u0e04\u0e4c\u0e01\u0e23<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The NVIDIA A800 40 GB Active is a high-performance workstation GPU built on the Ampere architecture, tailored for AI, data science, and high-performance computing (HPC) workflows. Featuring a massive 40 GB HBM2 memory pool, it supports critical technologies like third-generation Tensor Cores, NVLink, and Multi\u2010Instance GPU (MIG), delivering powerful, efficient compute performance for enterprise-level users<\/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 A800 40GB Active<\/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":19197,"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-18948","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\/18948","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=18948"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/media\/19197"}],"wp:attachment":[{"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/media?parent=18948"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/product_brand?post=18948"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/product_cat?post=18948"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/product_tag?post=18948"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}