{"id":18681,"date":"2026-09-16T20:10:03","date_gmt":"2026-09-16T13:10:03","guid":{"rendered":"https:\/\/droneth.or.th\/?post_type=product&#038;p=18681"},"modified":"2026-09-16T20:10:03","modified_gmt":"2026-09-16T13:10:03","slug":"nvidia-a10","status":"publish","type":"product","link":"https:\/\/droneth.or.th\/ko\/product\/nvidia-a10\/","title":{"rendered":"NVIDIA A10"},"content":{"rendered":"<p><strong>NVIDIA A10<\/strong> \u0e40\u0e1b\u0e47\u0e19 Data Center GPU \/ Accelerator \u0e08\u0e32\u0e01 <strong>NVIDIA<\/strong> \u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19 AI training, AI inference, HPC, virtual workstation \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>AI training<\/li>\n<li>AI inference<\/li>\n<li>HPC<\/li>\n<li>virtual workstation<\/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>NVIDIA Ampere<\/td>\n<\/tr>\n<tr>\n<td><strong>CUDA \ucf54\uc5b4<\/strong><\/td>\n<td>9,216<\/td>\n<\/tr>\n<tr>\n<td><strong>RT Cores (Gen 2)<\/strong><\/td>\n<td>72<\/td>\n<\/tr>\n<tr>\n<td><strong>Tensor Cores (Gen 3)<\/strong><\/td>\n<td>288<\/td>\n<\/tr>\n<tr>\n<td><strong>FP32 Performance<\/strong><\/td>\n<td>31.2 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td><strong>TF32 (Tensor)<\/strong><\/td>\n<td>62.5 TFLOPS (125 TFLOPS with sparsity)<\/td>\n<\/tr>\n<tr>\n<td><strong>BFLOAT16 \/ FP16 (Tensor)<\/strong><\/td>\n<td>125 TFLOPS (250 TFLOPS with sparsity)<\/td>\n<\/tr>\n<tr>\n<td><strong>INT8<\/strong><\/td>\n<td>250 TOPS (500 TOPS with sparsity)<\/td>\n<\/tr>\n<tr>\n<td><strong>INT4<\/strong><\/td>\n<td>500 TOPS (1,000 TOPS with sparsity)<\/td>\n<\/tr>\n<tr>\n<td><strong>GPU Memory<\/strong><\/td>\n<td>24 GB GDDR6<\/td>\n<\/tr>\n<tr>\n<td><strong>\uba54\ubaa8\ub9ac \ub300\uc5ed\ud3ed<\/strong><\/td>\n<td>600 GB\/s<\/td>\n<\/tr>\n<tr>\n<td><strong>Interface<\/strong><\/td>\n<td>PCIe Gen4 \u00d716 (64 GB\/s)<\/td>\n<\/tr>\n<tr>\n<td><strong>Max Power (TDP)<\/strong><\/td>\n<td>150 W<\/td>\n<\/tr>\n<tr>\n<td><strong>Thermal Solution<\/strong><\/td>\n<td>Passive<\/td>\n<\/tr>\n<tr>\n<td><strong>Form Factor<\/strong><\/td>\n<td>Single-slot, full-height\/full-length (FHFL)<\/td>\n<\/tr>\n<tr>\n<td><strong>Encode\/Decode<\/strong><\/td>\n<td>1\u00d7 NVENC, 2\u00d7 NVDEC (AV1 decode supported)<\/td>\n<\/tr>\n<tr>\n<td><strong>vGPU Software Support<\/strong><\/td>\n<td>NVIDIA vPC, vApps, RTX vWS, vCS (AI Enterprise)<\/td>\n<\/tr>\n<tr>\n<td><strong>Secure Boot &amp; Root of Trust<\/strong><\/td>\n<td>Supported<\/td>\n<\/tr>\n<tr>\n<td><strong>NEBS Ready<\/strong><\/td>\n<td>Level 3<\/td>\n<\/tr>\n<tr>\n<td><strong>SR-IOV Support<\/strong><\/td>\n<td>Virtual Functions (32 VF) supported<\/td>\n<\/tr>\n<tr>\n<td><strong>Power Connector<\/strong><\/td>\n<td>1\u00d7 PCIe 8-pin connector<\/td>\n<\/tr>\n<tr>\n<td><strong>GPU Clock (Base\/Boost)<\/strong><\/td>\n<td>~885 MHz \/ up to 1695 MHz<\/td>\n<\/tr>\n<tr>\n<td><strong>\uba54\ubaa8\ub9ac \uc778\ud130\ud398\uc774\uc2a4<\/strong><\/td>\n<td>384-bit<\/td>\n<\/tr>\n<tr>\n<td><strong>Dimensions<\/strong><\/td>\n<td>~267 mm \u00d7 111 mm (Single-slot)<\/td>\n<\/tr>\n<tr>\n<td><strong>Transistors<\/strong><\/td>\n<td>~28.3 billion (GA102 die)<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>NVIDIA Ampere GPU architecture<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>72 RT Cores<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>24GB DDR6 Memory<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>Up to 600GB\/s Memory Bandwidth<\/td>\n<\/tr>\n<tr>\n<td><strong>Max. Power Consumption<\/strong><\/td>\n<td>150W<\/td>\n<\/tr>\n<tr>\n<td><strong>Interconnect Bus<\/strong><\/td>\n<td>PCIe Gen. 4: 64GB\/s<\/td>\n<\/tr>\n<tr>\n<td><strong>Form Factor<\/strong><\/td>\n<td>1-slot FHFL<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>NVIDIA A10 \u0e04\u0e37\u0e2d GPU \u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e28\u0e39\u0e19\u0e22\u0e4c\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e43\u0e19\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e2d\u0e07\u0e04\u0e4c\u0e01\u0e23 \u0e17\u0e35\u0e48\u0e2d\u0e2d\u0e01\u0e41\u0e1a\u0e1a\u0e1a\u0e19\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 Ampere \u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19\u0e01\u0e23\u0e32\u0e1f\u0e34\u0e01\u0e41\u0e25\u0e30 AI \u0e17\u0e35\u0e48\u0e2b\u0e25\u0e32\u0e01\u0e2b\u0e25\u0e32\u0e22 \u0e15\u0e31\u0e27\u0e01\u0e32\u0e23\u0e4c\u0e14\u0e21\u0e35\u0e02\u0e19\u0e32\u0e14 single-slot \u0e43\u0e0a\u0e49\u0e1e\u0e25\u0e31\u0e07\u0e07\u0e32\u0e19\u0e19\u0e49\u0e2d\u0e22\u0e40\u0e1e\u0e35\u0e22\u0e07 150W \u0e40\u0e21\u0e37\u0e48\u0e2d\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19\u0e01\u0e31\u0e1a\u0e0b\u0e2d\u0e1f\u0e15\u0e4c\u0e41\u0e27\u0e23\u0e4c vGPU \u0e08\u0e30\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e40\u0e23\u0e48\u0e07\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e07\u0e32\u0e19\u0e40\u0e2a\u0e21\u0e37\u0e2d\u0e19 (VDI), workstations \u0e40\u0e2a\u0e21\u0e37\u0e2d\u0e19, \u0e41\u0e25\u0e30 AI inference \u0e44\u0e14\u0e49\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e21\u0e35\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e41\u0e25\u0e30\u0e1b\u0e25\u0e2d\u0e14\u0e20\u0e31\u0e22<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>NVIDIA A10 \u0e21\u0e32\u0e1e\u0e23\u0e49\u0e2d\u0e21 CUDA Cores \u0e08\u0e4d\u0e32\u0e19\u0e27\u0e19 9,216 \u0e41\u0e25\u0e30 RT Cores \u0e08\u0e4d\u0e32\u0e19\u0e27\u0e19 72 \u0e2d\u0e35\u0e01\u0e17\u0e31\u0e49\u0e07 Tensor Cores \u0e23\u0e38\u0e48\u0e19\u0e17\u0e35\u0e48 3 \u0e08\u0e4d\u0e32\u0e19\u0e27\u0e19 288 \u0e0a\u0e48\u0e27\u0e22\u0e40\u0e23\u0e48\u0e07\u0e07\u0e32\u0e19 AI \u0e41\u0e25\u0e30\u0e01\u0e23\u0e32\u0e1f\u0e34\u0e01\u0e44\u0e14\u0e49\u0e43\u0e19\u0e2b\u0e25\u0e32\u0e22\u0e23\u0e39\u0e1b\u0e41\u0e1a\u0e1a \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25\u0e17\u0e35\u0e48\u0e2b\u0e25\u0e32\u0e01\u0e2b\u0e25\u0e32\u0e22\u0e15\u0e31\u0e49\u0e07\u0e41\u0e15\u0e48 FP32, TF32, FP16, BFLOAT16, INT8 \u0e08\u0e19\u0e16\u0e36\u0e07 INT4 (\u0e1e\u0e23\u0e49\u0e2d\u0e21 sparsity \u0e40\u0e1e\u0e34\u0e48\u0e21\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e44\u0e14\u0e49\u0e16\u0e36\u0e07\u0e2a\u0e2d\u0e07\u0e40\u0e17\u0e48\u0e32) \u0e21\u0e35\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e4d\u0e32 GDDR6 \u0e02\u0e19\u0e32\u0e14 24 GB \u0e41\u0e25\u0e30\u0e41\u0e1a\u0e19\u0e14\u0e4c\u0e27\u0e34\u0e14\u0e17\u0e4c\u0e2a\u0e39\u0e07\u0e16\u0e36\u0e07 600 GB\/s \u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e21\u0e15\u0e48\u0e2d\u0e1c\u0e48\u0e32\u0e19 PCIe Gen4 x16 \u0e43\u0e0a\u0e49\u0e1e\u0e25\u0e31\u0e07\u0e07\u0e32\u0e19\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 150 W \u0e41\u0e25\u0e30\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a vGPU \u0e2b\u0e25\u0e32\u0e01\u0e2b\u0e25\u0e32\u0e22 \u0e40\u0e0a\u0e48\u0e19 vPC, vApps, RTX vWS, vCS (AI Enterprise)<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The NVIDIA A10 is a data-center GPU based on Ampere architecture, tailored for enterprise-level graphics and AI workloads. It features a compact single-slot form factor with a 150W TDP. When paired with vGPU software, it accelerates virtual desktops, virtual workstations, and AI inference securely and efficiently in data center environments<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The NVIDIA A10 includes 9,216 CUDA Cores, 72 RT Cores, and 288 third-gen Tensor Cores. It supports multi-precision operations (FP32, TF32, FP16, BFLOAT16, INT8, INT4)\u2014with sparsity boosting throughput up to 2\u00d7. The card houses 24 GB GDDR6 memory with 600 GB\/s bandwidth, connects via PCIe Gen4 x16, draws up to 150 W and supports vGPU solutions like vPC, vApps, RTX vWS, vCS (AI Enterprise)<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The NVIDIA A10 offers an optimal blend of graphics and AI performance for data centers. Featuring robust specs\u2014including 24 GB of GDDR6 memory, NVENC\/NVDEC video engines, and multi-precision Tensor support\u2014it excels in rendering, virtualization, and AI workloads. Its low 150 W power consumption and compact single-slot design make it a cost-effective solution for enterprises navigating power and space constraints while prioritizing performance and flexibility.<\/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>\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e2d\u0e49\u0e32\u0e07\u0e2d\u0e34\u0e07\u0e08\u0e32\u0e01\u0e1c\u0e39\u0e49\u0e1c\u0e25\u0e34\u0e15: <a href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/a10\/\" target=\"_blank\" rel=\"nofollow noopener\">NVIDIA<\/a><\/p>\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 A10<\/strong> \u0e40\u0e1b\u0e47\u0e19 Data Center GPU \/ Accelerator \u0e08\u0e32\u0e01 <strong>NVIDIA<\/strong> \u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19 AI training, AI inference, HPC, virtual workstation \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":19185,"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":[388,384],"product_tag":[237,397,396],"class_list":{"0":"post-18681","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-data-center-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\/18681","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=18681"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/media\/19185"}],"wp:attachment":[{"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/media?parent=18681"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/product_brand?post=18681"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/product_cat?post=18681"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/product_tag?post=18681"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}