{"id":18956,"date":"2026-09-16T20:14:20","date_gmt":"2026-09-16T13:14:20","guid":{"rendered":"https:\/\/droneth.or.th\/product\/nvidia-quadro-k620\/"},"modified":"2026-09-16T20:14:20","modified_gmt":"2026-09-16T13:14:20","slug":"nvidia-quadro-k620","status":"publish","type":"product","link":"https:\/\/droneth.or.th\/ko\/product\/nvidia-quadro-k620\/","title":{"rendered":"NVIDIA Quadro K620"},"content":{"rendered":"<p><strong>NVIDIA Quadro K620<\/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 (Architecture)<\/strong><\/td>\n<td>Maxwell (GM107), CUDA Cores: 384 | Maxwell (GM107), CUDA Cores: 384<\/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>2 GB DDR3, 128\u2010bit, ~28.8 GB\/s | 2 GB DDR3, 128\u2010bit, ~28.8 GB\/s<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e04\u0e27\u0e32\u0e21\u0e16\u0e35\u0e48\u0e2a\u0e31\u0e0d\u0e0d\u0e32\u0e13\u0e19\u0e32\u0e2c\u0e34\u0e01\u0e32 (Clocks)<\/strong><\/td>\n<td>Base 1,058 MHz \u2013 Boost 1,124 MHz; Mem 900 MHz (1,800 Mbps eff.) | Base 1,058 MHz \u2013 Boost 1,124 MHz; Mem 900 MHz (1,800 Mbps)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e2a\u0e21\u0e23\u0e23\u0e16\u0e19\u0e30 FP32<\/strong><\/td>\n<td>~863 GFLOPS (~0.86 TFLOPS) | ~863 GFLOPS (~0.86 TFLOPS)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e1e\u0e25\u0e31\u0e07\u0e07\u0e32\u0e19 (TDP)<\/strong><\/td>\n<td>~45 W (\u0e44\u0e21\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e43\u0e0a\u0e49\u0e2a\u0e32\u0e22\u0e44\u0e1f\u0e40\u0e2a\u0e23\u0e34\u0e21) | ~45 W (no auxiliary power)<\/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>DVI + DP 1.2; \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a 4 \u0e08\u0e2d 4K \u0e1c\u0e48\u0e32\u0e19 DP MST | DVI + DP 1.2; supports 4\u00d7 4K via DP MST<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e2d\u0e34\u0e19\u0e40\u0e15\u0e2d\u0e23\u0e4c\u0e40\u0e1f\u0e2a &amp; \u0e02\u0e19\u0e32\u0e14<\/strong><\/td>\n<td>PCIe 2.0 x16, single-slot, low-profile (~160 \u00d7 69 mm) | PCIe 2.0 x16, single-slot, low-profile (~160 \u00d7 69 mm)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e1f\u0e35\u0e40\u0e08\u0e2d\u0e23\u0e4c\u0e21\u0e37\u0e2d\u0e2d\u0e32\u0e0a\u0e35\u0e1e<\/strong><\/td>\n<td>SM 5.0, OpenGL 4.6, DX12, OpenCL 3.0, Vulkan, CUDA 5.0, Boost 3.0, Mosaic, nVIEW, HDR, H.264 encoder, enterprise tools | SM 5.0, OpenGL 4.6, DX12, OpenCL 3.0, Vulkan, CUDA 5.0, Boost 3.0, Mosaic, nVIEW, HDR, H.264 encoder, enterprise tools<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>NVIDIA Quadro K620 \u0e04\u0e37\u0e2d\u0e01\u0e32\u0e23\u0e4c\u0e14\u0e01\u0e23\u0e32\u0e1f\u0e34\u0e01\u0e40\u0e27\u0e34\u0e23\u0e4c\u0e01\u0e2a\u0e40\u0e15\u0e0a\u0e31\u0e19\u0e02\u0e19\u0e32\u0e14\u0e01\u0e30\u0e17\u0e31\u0e14\u0e23\u0e31\u0e14\u0e17\u0e35\u0e48\u0e2d\u0e2d\u0e01\u0e41\u0e1a\u0e1a\u0e43\u0e2b\u0e49\u0e1b\u0e23\u0e30\u0e2b\u0e22\u0e31\u0e14\u0e1e\u0e25\u0e31\u0e07\u0e07\u0e32\u0e19\u0e40\u0e1e\u0e35\u0e22\u0e07 ~45 W \u0e40\u0e17\u0e48\u0e32\u0e19\u0e31\u0e49\u0e19 \u0e41\u0e21\u0e49\u0e02\u0e19\u0e32\u0e14\u0e40\u0e25\u0e47\u0e01 \u0e41\u0e15\u0e48\u0e22\u0e31\u0e07\u0e43\u0e2b\u0e49\u0e2a\u0e21\u0e23\u0e23\u0e16\u0e19\u0e30\u0e40\u0e0a\u0e34\u0e07\u0e21\u0e37\u0e2d\u0e2d\u0e32\u0e0a\u0e35\u0e1e \u0e14\u0e49\u0e27\u0e22\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 Maxwell, 384 CUDA cores, \u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e4d\u0e32 2 GB DDR3 \u0e41\u0e25\u0e30\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e41\u0e2a\u0e14\u0e07\u0e1c\u0e25 4K \u0e44\u0e14\u0e49\u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e01\u0e31\u0e19\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 4 \u0e08\u0e2d \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19\u0e14\u0e49\u0e32\u0e19 CAD, visualization, \u0e41\u0e25\u0e30 multi-display \u0e44\u0e14\u0e49\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e21\u0e35\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e \u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e1f\u0e35\u0e40\u0e08\u0e2d\u0e23\u0e4c\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e21\u0e37\u0e2d\u0e2d\u0e32\u0e0a\u0e35\u0e1e \u0e40\u0e0a\u0e48\u0e19 GPU Boost, Mosaic, HDR \u0e41\u0e25\u0e30 Video encoding \u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e22\u0e34\u0e48\u0e07\u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e40\u0e27\u0e34\u0e23\u0e4c\u0e01\u0e2a\u0e40\u0e15\u0e0a\u0e31\u0e19\u0e1e\u0e37\u0e49\u0e19\u0e17\u0e35\u0e48\u0e08\u0e4d\u0e32\u0e01\u0e31\u0e14\u0e2b\u0e23\u0e37\u0e2d\u0e40\u0e04\u0e23\u0e37\u0e48\u0e2d\u0e07\u0e18\u0e38\u0e23\u0e01\u0e34\u0e08\u0e17\u0e35\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e04\u0e27\u0e32\u0e21\u0e41\u0e23\u0e07\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e40\u0e07\u0e35\u0e22\u0e1a\u0e41\u0e25\u0e30\u0e1b\u0e23\u0e30\u0e2b\u0e22\u0e31\u0e14\u0e1e\u0e25\u0e31\u0e07\u0e07\u0e32\u0e19<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>NVIDIA Quadro K620 \u0e04\u0e37\u0e2d\u0e01\u0e32\u0e23\u0e4c\u0e14\u0e40\u0e27\u0e34\u0e23\u0e4c\u0e01\u0e2a\u0e40\u0e15\u0e0a\u0e31\u0e19\u0e02\u0e19\u0e32\u0e14\u0e40\u0e25\u0e47\u0e01 (single\u2010slot, low\u2010profile) \u0e17\u0e35\u0e48\u0e43\u0e0a\u0e49\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 Maxwell (GPU GM107) \u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19\u0e14\u0e49\u0e32\u0e19 CAD, visualization, \u0e41\u0e25\u0e30\u0e23\u0e30\u0e1a\u0e1a\u0e17\u0e35\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e01\u0e32\u0e23\u0e41\u0e2a\u0e14\u0e07\u0e1c\u0e25\u0e2a\u0e39\u0e07\u2014\u0e21\u0e32\u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e4d\u0e32 2 GB DDR3 \u0e41\u0e25\u0e30\u0e43\u0e0a\u0e49\u0e1e\u0e25\u0e31\u0e07\u0e07\u0e32\u0e19\u0e15\u0e48\u0e4d\u0e32\u0e1b\u0e23\u0e30\u0e21\u0e32\u0e13 45 W \u0e42\u0e14\u0e22\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e41\u0e2a\u0e14\u0e07\u0e1c\u0e25\u0e1a\u0e19\u0e08\u0e2d 4K \u0e44\u0e14\u0e49\u0e2b\u0e25\u0e32\u0e01\u0e2b\u0e25\u0e32\u0e22\u0e0a\u0e48\u0e2d\u0e07\u0e17\u0e32\u0e07<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The NVIDIA Quadro K620 is a compact workstation graphics card (single-slot, low-profile) based on the Maxwell architecture (GM107 GPU). Designed for CAD, visualization, and high\u2010resolution workflows, it includes 2 GB of DDR3 memory and consumes just about 45 W. It supports multi-4K display output capabilities.<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The NVIDIA Quadro K620 is a compact, energy-efficient workstation graphics card, consuming merely ~45 W, yet delivering professional-level performance. Featuring the Maxwell architecture, 384 CUDA cores, 2 GB of DDR3 memory, and the ability to drive up to four 4K displays, it suits CAD, visualization, and multi-display workflows effectively. It supports professional features like GPU Boost, Mosaic, HDR, and video encoding\u2014making it an excellent choice for small-form-factor workstations or business PCs requiring quiet, energy-conscious 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 K620<\/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":19202,"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-18956","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\/18956","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=18956"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/media\/19202"}],"wp:attachment":[{"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/media?parent=18956"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/product_brand?post=18956"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/product_cat?post=18956"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/product_tag?post=18956"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}