{"id":18684,"date":"2026-09-16T20:11:07","date_gmt":"2026-09-16T13:11:07","guid":{"rendered":"https:\/\/droneth.or.th\/product\/nvidia-a100\/"},"modified":"2026-09-16T20:11:07","modified_gmt":"2026-09-16T13:11:07","slug":"nvidia-a100","status":"publish","type":"product","link":"https:\/\/droneth.or.th\/ja\/product\/nvidia-a100\/","title":{"rendered":"NVIDIA A100"},"content":{"rendered":"<p><strong>NVIDIA A100<\/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>\u0e04\u0e33\u0e2d\u0e18\u0e34\u0e1a\u0e32\u0e22\u0e08\u0e32\u0e01\u0e1c\u0e39\u0e49\u0e1c\u0e25\u0e34\u0e15:<\/strong> The fastest data center platform for AI and 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>\u30bb\u30af\u30b7\u30e7\u30f3<\/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>Ampere (54B transistors, 7 nm)<\/td>\n<\/tr>\n<tr>\n<td><strong>CUDA\u30b3\u30a2<\/strong><\/td>\n<td>8,192 \u0e15\u0e48\u0e2d GPU<\/td>\n<\/tr>\n<tr>\n<td><strong>Tensor Cores (Gen 3)<\/strong><\/td>\n<td>512 \u0e15\u0e48\u0e2d GPU<\/td>\n<\/tr>\n<tr>\n<td><strong>FP64 Peak Performance<\/strong><\/td>\n<td>9.7 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td><strong>FP64 (Tensor Core)<\/strong><\/td>\n<td>19.5 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td><strong>FP32 Peak<\/strong><\/td>\n<td>19.5 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td><strong>TF32 (Tensor Core)<\/strong><\/td>\n<td>156 TFLOPS (312 TFLOPS with sparsity; SXM)<\/td>\n<\/tr>\n<tr>\n<td><strong>FP16 \/ BFLOAT16 (Tensor Core)<\/strong><\/td>\n<td>312 TFLOPS (624 TFLOPS w\/ sparsity; SXM)<\/td>\n<\/tr>\n<tr>\n<td><strong>INT8 (Tensor Core)<\/strong><\/td>\n<td>624 TOPS (1,248 TOPS w\/ sparsity; SXM)<\/td>\n<\/tr>\n<tr>\n<td><strong>GPU Memory<\/strong><\/td>\n<td>40 GB HBM2 (PCIe) \/ 80 GB HBM2e (PCIe or SXM)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u30e1\u30e2\u30ea\u5e2f\u57df\u5e45<\/strong><\/td>\n<td>1,555 GB\/s (40 GB PCIe), 1,935 GB\/s (80 GB PCIe), 2,039 GB\/s (SXM)<\/td>\n<\/tr>\n<tr>\n<td><strong>Max Power (TDP)<\/strong><\/td>\n<td>250 W (40 GB PCIe), 300 W (80 GB PCIe), 400 W (80 GB SXM)<\/td>\n<\/tr>\n<tr>\n<td><strong>Multi\u2010Instance GPU (MIG)<\/strong><\/td>\n<td>Up to 7 instances (5 GB each for 40 GB; 10 GB each for 80 GB)<\/td>\n<\/tr>\n<tr>\n<td><strong>Interface<\/strong><\/td>\n<td>PCIe Gen4 x16 or SXM form factors<\/td>\n<\/tr>\n<tr>\n<td><strong>NVLink<\/strong><\/td>\n<td>Yes (600 GB\/s)<\/td>\n<\/tr>\n<tr>\n<td><strong>Form Factor<\/strong><\/td>\n<td>PCIe or SXM module<\/td>\n<\/tr>\n<tr>\n<td><strong>Support Workloads<\/strong><\/td>\n<td>AI training, inference, data analytics, HPC, scientific simulation<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>NVIDIA A100 \u0e04\u0e37\u0e2d\u0e40\u0e04\u0e23\u0e37\u0e48\u0e2d\u0e07\u0e21\u0e37\u0e2d\u0e17\u0e23\u0e07\u0e1e\u0e25\u0e31\u0e07\u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e28\u0e39\u0e19\u0e22\u0e4c\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e22\u0e38\u0e04\u0e43\u0e2b\u0e21\u0e48 \u0e21\u0e2d\u0e1a\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e AI \u0e41\u0e25\u0e30\u0e01\u0e32\u0e23\u0e04\u0e4d\u0e32\u0e19\u0e27\u0e13\u0e02\u0e31\u0e49\u0e19\u0e2a\u0e39\u0e07\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e2b\u0e25\u0e32\u0e01\u0e2b\u0e25\u0e32\u0e22 \u0e17\u0e31\u0e49\u0e07\u0e43\u0e19\u0e01\u0e32\u0e23\u0e1d\u0e36\u0e01, \u0e27\u0e34\u0e40\u0e04\u0e23\u0e32\u0e30\u0e2b\u0e4c\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25, \u0e41\u0e25\u0e30 HPC \u0e1c\u0e48\u0e32\u0e19\u0e19\u0e27\u0e31\u0e15\u0e01\u0e23\u0e23\u0e21\u0e2a\u0e4d\u0e32\u0e04\u0e31\u0e0d \u0e40\u0e0a\u0e48\u0e19 Tensor Cores \u0e23\u0e38\u0e48\u0e19\u0e17\u0e35\u0e48 3, MIG \u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e1b\u0e23\u0e31\u0e1a\u0e02\u0e19\u0e32\u0e14\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19\u0e22\u0e37\u0e14\u0e2b\u0e22\u0e38\u0e48\u0e19, \u0e41\u0e25\u0e30 NVLink \u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e21\u0e15\u0e48\u0e2d\u0e2b\u0e25\u0e32\u0e22 GPU \u0e44\u0e14\u0e49\u0e40\u0e2b\u0e19\u0e37\u0e2d\u0e0a\u0e31\u0e49\u0e19 \u0e23\u0e38\u0e48\u0e19\u0e04\u0e27\u0e32\u0e21\u0e08\u0e38 80GB \u0e22\u0e34\u0e48\u0e07\u0e2a\u0e30\u0e43\u0e08\u0e14\u0e49\u0e27\u0e22\u0e41\u0e1a\u0e19\u0e14\u0e4c\u0e27\u0e34\u0e14\u0e17\u0e4c\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e4d\u0e32\u0e01\u0e27\u0e48\u0e32 2 TB\/s \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e42\u0e21\u0e40\u0e14\u0e25\u0e02\u0e19\u0e32\u0e14\u0e43\u0e2b\u0e0d\u0e48\u0e41\u0e25\u0e30\u0e42\u0e2b\u0e25\u0e14\u0e07\u0e32\u0e19\u0e2b\u0e19\u0e31\u0e01\u0e17\u0e35\u0e48\u0e16\u0e37\u0e2d\u0e27\u0e48\u0e32\u0e40\u0e1b\u0e47\u0e19\u0e40\u0e23\u0e37\u0e48\u0e2d\u0e07\u0e43\u0e19\u0e1d\u0e31\u0e19\u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e19\u0e31\u0e01\u0e1e\u0e31\u0e12\u0e19\u0e32\u0e41\u0e25\u0e30\u0e2d\u0e07\u0e04\u0e4c\u0e01\u0e23\u0e17\u0e35\u0e48\u0e21\u0e38\u0e48\u0e07\u0e21\u0e31\u0e48\u0e19\u0e1c\u0e25\u0e31\u0e01\u0e14\u0e31\u0e19\u0e23\u0e30\u0e1a\u0e1a AI \u0e44\u0e1b\u0e43\u0e2b\u0e49\u0e16\u0e36\u0e07\u0e08\u0e38\u0e14\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>NVIDIA A100 \u0e04\u0e37\u0e2d GPU \u0e23\u0e30\u0e14\u0e31\u0e1a data\u2010center \u0e17\u0e35\u0e48\u0e43\u0e0a\u0e49\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 Ampere \u0e2d\u0e31\u0e19\u0e17\u0e31\u0e19\u0e2a\u0e21\u0e31\u0e22 \u0e16\u0e39\u0e01\u0e2d\u0e2d\u0e01\u0e41\u0e1a\u0e1a\u0e21\u0e32\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19 AI, HPC \u0e41\u0e25\u0e30\u0e27\u0e34\u0e40\u0e04\u0e23\u0e32\u0e30\u0e2b\u0e4c\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e43\u0e19\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e2a\u0e39\u0e07 \u0e21\u0e35\u0e19\u0e27\u0e31\u0e15\u0e01\u0e23\u0e23\u0e21\u0e2a\u0e4d\u0e32\u0e04\u0e31\u0e0d \u0e40\u0e0a\u0e48\u0e19 Multi\u2010Instance GPU (MIG) \u0e41\u0e25\u0e30 Tensor Cores \u0e23\u0e38\u0e48\u0e19\u0e17\u0e35\u0e48 3 \u0e1e\u0e23\u0e49\u0e2d\u0e21 TF32 \u0e0a\u0e48\u0e27\u0e22\u0e43\u0e2b\u0e49\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e40\u0e23\u0e47\u0e27\u0e02\u0e36\u0e49\u0e19\u0e16\u0e36\u0e07 20 \u0e40\u0e17\u0e48\u0e32\u0e40\u0e21\u0e37\u0e48\u0e2d\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e01\u0e31\u0e1a\u0e23\u0e38\u0e48\u0e19\u0e01\u0e48\u0e2d\u0e19<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The NVIDIA A100 is a data-center GPU built on the cutting-edge Ampere architecture, tailored for AI, HPC, and data analytics workloads. Key innovations such as third-generation Tensor Cores with TF32, and Multi\u2010Instance GPU (MIG) technology enable up to 20\u00d7 higher performance compared to previous generation GPUs.<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The NVIDIA A100 is a powerhouse in the data-center GPU landscape, delivering versatile compute capabilities across AI training, inference, data analytics, and HPC. Innovations like third-gen Tensor Cores, MIG for dynamic partitioning, and NVLink for high-speed multi-GPU scaling set it apart. The 80GB variant, with over 2 TB\/s of memory bandwidth, caters to the most demanding large-scale models\u2014making A100 a dream choice for developers and enterprises pushing the boundaries of AI performance.<\/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\/a100\/\" 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 A100<\/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":18685,"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-18684","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\/ja\/wp-json\/wp\/v2\/product\/18684","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/droneth.or.th\/ja\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/droneth.or.th\/ja\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/ja\/wp-json\/wp\/v2\/comments?post=18684"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/ja\/wp-json\/wp\/v2\/media\/18685"}],"wp:attachment":[{"href":"https:\/\/droneth.or.th\/ja\/wp-json\/wp\/v2\/media?parent=18684"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/droneth.or.th\/ja\/wp-json\/wp\/v2\/product_brand?post=18684"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/droneth.or.th\/ja\/wp-json\/wp\/v2\/product_cat?post=18684"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/droneth.or.th\/ja\/wp-json\/wp\/v2\/product_tag?post=18684"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}