{"id":18951,"date":"2026-09-16T20:14:19","date_gmt":"2026-09-16T13:14:19","guid":{"rendered":"https:\/\/droneth.or.th\/product\/nvidia-quadro-gp100\/"},"modified":"2026-09-16T20:14:19","modified_gmt":"2026-09-16T13:14:19","slug":"nvidia-quadro-gp100","status":"publish","type":"product","link":"https:\/\/droneth.or.th\/zh\/product\/nvidia-quadro-gp100\/","title":{"rendered":"NVIDIA Quadro GP100"},"content":{"rendered":"<p><strong>NVIDIA Quadro GP100<\/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>\u90e8\u5206<\/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 (\u0e20\u0e32\u0e29\u0e32\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>GPU Architecture: Pascal<\/td>\n<\/tr>\n<tr>\n<td><strong>CUDA\u6838\u5fc3<\/strong><\/td>\n<td>CUDA Cores: 3,584<\/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>Memory: 16 GB HBM2<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e41\u0e1a\u0e19\u0e14\u0e4c\u0e27\u0e34\u0e14\u0e17\u0e4c\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e4d\u0e32<\/strong><\/td>\n<td>Memory Bandwidth: up to 717 GB\/s<\/td>\n<\/tr>\n<tr>\n<td><strong>FP64 \u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e (\u0e04\u0e4d\u0e32\u0e19\u0e27\u0e13\u0e2a\u0e2d\u0e07\u0e40\u0e17\u0e48\u0e32)<\/strong><\/td>\n<td>FP64 Performance: ~5.2 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td><strong>FP32 \u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e (\u0e04\u0e4d\u0e32\u0e19\u0e27\u0e13\u0e40\u0e14\u0e35\u0e48\u0e22\u0e27)<\/strong><\/td>\n<td>FP32 Performance: ~10.3 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td><strong>FP16 \u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e (\u0e04\u0e4d\u0e32\u0e19\u0e27\u0e13\u0e04\u0e23\u0e36\u0e48\u0e07)<\/strong><\/td>\n<td>FP16 Performance: ~20.7 TFLOPS<\/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>Max Power Consumption: ~235 W<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e23\u0e30\u0e1a\u0e1a\u0e2d\u0e34\u0e19\u0e40\u0e15\u0e2d\u0e23\u0e4c\u0e40\u0e1f\u0e0b<\/strong><\/td>\n<td>PCI Express 3.0 x16<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e1e\u0e2d\u0e23\u0e4c\u0e15\u0e41\u0e2a\u0e14\u0e07\u0e1c\u0e25<\/strong><\/td>\n<td>Display: 4\u00d7 DP 1.4 + DVI\u2010D DL<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e04\u0e27\u0e32\u0e21\u0e25\u0e30\u0e40\u0e2d\u0e35\u0e22\u0e14\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14\u0e15\u0e48\u0e2d\u0e08\u0e2d<\/strong><\/td>\n<td>4\u00d7 4096\u00d72160 @ 120 Hz or 4\u00d7 5120\u00d72880 @ 60 Hz<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a ECC<\/strong><\/td>\n<td>ECC Memory Support<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a Quadro Sync II<\/strong><\/td>\n<td>Yes<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a NVLink<\/strong><\/td>\n<td>2\u2010way NVLink for GPU pairing<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e02\u0e19\u0e32\u0e14\u0e01\u0e32\u0e23\u0e4c\u0e14<\/strong><\/td>\n<td>Dual-slot, ~4.4\u2032\u2032 H \u00d7 10.5\u2032\u2032 L<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a VR \/ Deep Learning<\/strong><\/td>\n<td>Optimized for VR and Mixed-Precision compute<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>Pascal GPU<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>3584 CUDA NVIDIA CUDA Cores<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>16 GB HBM2 GPU Memory<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>Up to 717 GB\/s Memory Bandwidth<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>PCI Express 3.0 System Interface<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>5.2 TFLOPS FP64 Performance<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>10.3 TFLOPS FP32 Performance<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>20.7 TFLOPS FP16 Performance<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>235W Max Power Consumption<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>4 x DP 1.4 + DVI-D DL Display Conntectors<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>4x 4096\u00d72160 @ 120Hz Display Resolution<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>4x 5120\u00d72880 @ 60Hz Display Resolution<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>Support ECC Protection<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>Support Quadro Sync II<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>Support Quadro NVLink Bridge<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>NVIDIA Quadro GP100 \u0e04\u0e37\u0e2d\u0e01\u0e23\u0e32\u0e1f\u0e34\u0e01\u0e01\u0e32\u0e23\u0e4c\u0e14\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e21\u0e37\u0e2d\u0e2d\u0e32\u0e0a\u0e35\u0e1e\u0e17\u0e35\u0e48\u0e43\u0e0a\u0e49\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 Pascal \u0e0b\u0e36\u0e48\u0e07\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\u0e14\u0e49\u0e32\u0e19\u0e04\u0e4d\u0e32\u0e19\u0e27\u0e13\u0e2b\u0e19\u0e31\u0e01 \u0e40\u0e0a\u0e48\u0e19 deep learning, simulation, \u0e41\u0e25\u0e30\u0e07\u0e32\u0e19\u0e2d\u0e2d\u0e01\u0e41\u0e1a\u0e1a 3D \u0e41\u0e1a\u0e1a\u0e25\u0e30\u0e40\u0e2d\u0e35\u0e22\u0e14\u0e2a\u0e39\u0e07 \u0e42\u0e14\u0e22\u0e21\u0e32\u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e01\u0e31\u0e1a\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e4d\u0e32 HBM2 \u0e02\u0e19\u0e32\u0e14 16 GB \u0e17\u0e35\u0e48\u0e21\u0e35\u0e41\u0e1a\u0e19\u0e14\u0e4c\u0e27\u0e34\u0e14\u0e17\u0e4c\u0e2a\u0e39\u0e07 \u0e23\u0e27\u0e21\u0e16\u0e36\u0e07\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a NVLink \u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e01\u0e32\u0e23\u0e17\u0e4d\u0e32\u0e07\u0e32\u0e19\u0e23\u0e48\u0e27\u0e21\u0e01\u0e31\u0e19\u0e23\u0e30\u0e2b\u0e27\u0e48\u0e32\u0e07\u0e01\u0e32\u0e23\u0e4c\u0e14\u0e2b\u0e25\u0e32\u0e22\u0e15\u0e31\u0e27\u0e43\u0e19\u0e23\u0e30\u0e1a\u0e1a\u0e40\u0e14\u0e35\u0e22\u0e27<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The NVIDIA Quadro GP100 is a professional-grade graphics card based on the Pascal architecture. It\u2019s engineered for compute-intensive tasks such as deep learning, simulation, and high-fidelity 3D design. Featuring 16 GB of high-bandwidth HBM2 memory and NVLink support, it enables scalable multi-GPU performance in workstation environments.<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The Quadro GP100 is a high-performance professional graphics card that brings advanced compute capabilities via the Pascal architecture\u2014ideal for deep learning and simulation workloads. It features 16 GB of HBM2 memory with 717 GB\/s bandwidth and delivers strong FP64, FP32, and FP16 performance for intensive computation tasks. Built for professional workstations, it also supports NVLink for multi-GPU setups and ultra-high-resolution multi-display output via DisplayPort and DVI\u2010D connectors. This GPU is tailored for environments demanding precision, stability, and top-tier 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>\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 Quadro GP100<\/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":19295,"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-18951","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\/zh\/wp-json\/wp\/v2\/product\/18951","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/comments?post=18951"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/media\/19295"}],"wp:attachment":[{"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/media?parent=18951"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/product_brand?post=18951"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/product_cat?post=18951"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/product_tag?post=18951"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}