{"id":18955,"date":"2026-09-16T20:14:20","date_gmt":"2026-09-16T13:14:20","guid":{"rendered":"https:\/\/droneth.or.th\/product\/nvidia-quadro-k420\/"},"modified":"2026-09-16T20:14:20","modified_gmt":"2026-09-16T13:14:20","slug":"nvidia-quadro-k420","status":"publish","type":"product","link":"https:\/\/droneth.or.th\/ja\/product\/nvidia-quadro-k420\/","title":{"rendered":"NVIDIA Quadro K420"},"content":{"rendered":"<p><strong>NVIDIA Quadro K420<\/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>\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>\u0e23\u0e32\u0e22\u0e01\u0e32\u0e23 (Thai)<\/strong><\/td>\n<td>\u0e23\u0e32\u0e22\u0e01\u0e32\u0e23 (English)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 (Architecture)<\/strong><\/td>\n<td>Kepler (GPU GK107)<\/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>1 GB DDR3, 128-bit<\/td>\n<\/tr>\n<tr>\n<td><strong>CUDA\u30b3\u30a2<\/strong><\/td>\n<td>192<\/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 (Clock Speeds)<\/strong><\/td>\n<td>GPU 876 MHz, Memory 891 MHz<\/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>1\u00d7 DVI-I DL, 1\u00d7 DisplayPort 1.2<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e01\u0e32\u0e23\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e08\u0e2d\u0e20\u0e32\u0e1e (Display Support)<\/strong><\/td>\n<td>\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 4 \u0e08\u0e2d (\u0e1c\u0e48\u0e32\u0e19 MST)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e1e\u0e25\u0e31\u0e07\u0e07\u0e32\u0e19 (Power Consumption)<\/strong><\/td>\n<td>\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 41 W<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e2d\u0e34\u0e19\u0e40\u0e15\u0e2d\u0e23\u0e4c\u0e40\u0e1f\u0e2a (Interface)<\/strong><\/td>\n<td>PCIe 2.0 x16<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e02\u0e19\u0e32\u0e14 (Form Factor)<\/strong><\/td>\n<td>Single-slot, Low-profile<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e1f\u0e35\u0e40\u0e08\u0e2d\u0e23\u0e4c\u0e1e\u0e34\u0e40\u0e28\u0e29 (Special Features)<\/strong><\/td>\n<td>SM 5.0, OpenGL 4.5, DX11.2, OpenCL 1.2, CUDA, H.264 encoder<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>NVIDIA Quadro K420 \u0e40\u0e1b\u0e47\u0e19\u0e01\u0e32\u0e23\u0e4c\u0e14\u0e01\u0e23\u0e32\u0e1f\u0e34\u0e01\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e40\u0e23\u0e34\u0e48\u0e21\u0e15\u0e49\u0e19\u0e17\u0e35\u0e48\u0e2d\u0e2d\u0e01\u0e41\u0e1a\u0e1a\u0e21\u0e32\u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e40\u0e27\u0e34\u0e23\u0e4c\u0e01\u0e2a\u0e40\u0e15\u0e0a\u0e31\u0e19\u0e02\u0e19\u0e32\u0e14\u0e01\u0e30\u0e17\u0e31\u0e14\u0e23\u0e31\u0e14 \u0e42\u0e14\u0e22\u0e21\u0e35\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 Kepler \u0e41\u0e25\u0e30\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e4d\u0e32 1 GB DDR3 \u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19\u0e43\u0e19\u0e07\u0e32\u0e19\u0e14\u0e49\u0e32\u0e19\u0e01\u0e23\u0e32\u0e1f\u0e34\u0e01 3D \u0e41\u0e25\u0e30\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25\u0e20\u0e32\u0e1e\u0e43\u0e19\u0e2a\u0e20\u0e32\u0e1e\u0e41\u0e27\u0e14\u0e25\u0e49\u0e2d\u0e21\u0e17\u0e35\u0e48\u0e08\u0e4d\u0e32\u0e01\u0e31\u0e14\u0e1e\u0e37\u0e49\u0e19\u0e17\u0e35\u0e48\u0e41\u0e25\u0e30\u0e1e\u0e25\u0e31\u0e07\u0e07\u0e32\u0e19 \u0e40\u0e0a\u0e48\u0e19 \u0e40\u0e04\u0e23\u0e37\u0e48\u0e2d\u0e07\u0e04\u0e2d\u0e21\u0e1e\u0e34\u0e27\u0e40\u0e15\u0e2d\u0e23\u0e4c\u0e02\u0e19\u0e32\u0e14\u0e40\u0e25\u0e47\u0e01\u0e2b\u0e23\u0e37\u0e2d\u0e40\u0e04\u0e23\u0e37\u0e48\u0e2d\u0e07\u0e17\u0e35\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e01\u0e32\u0e23\u0e4c\u0e14\u0e01\u0e23\u0e32\u0e1f\u0e34\u0e01\u0e17\u0e35\u0e48\u0e21\u0e35\u0e02\u0e19\u0e32\u0e14\u0e01\u0e30\u0e17\u0e31\u0e14\u0e23\u0e31\u0e14\u0e41\u0e25\u0e30\u0e1b\u0e23\u0e30\u0e2b\u0e22\u0e31\u0e14\u0e1e\u0e25\u0e31\u0e07\u0e07\u0e32\u0e19 \u0e14\u0e49\u0e27\u0e22\u0e01\u0e32\u0e23\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e41\u0e2a\u0e14\u0e07\u0e1c\u0e25\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 4 \u0e08\u0e2d\u0e1c\u0e48\u0e32\u0e19 Multi-Stream Transport \u0e41\u0e25\u0e30\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e1e\u0e25\u0e31\u0e07\u0e07\u0e32\u0e19\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14\u0e40\u0e1e\u0e35\u0e22\u0e07 41 W \u0e17\u0e4d\u0e32\u0e43\u0e2b\u0e49 Quadro K420 \u0e40\u0e1b\u0e47\u0e19\u0e15\u0e31\u0e27\u0e40\u0e25\u0e37\u0e2d\u0e01\u0e17\u0e35\u0e48\u0e19\u0e48\u0e32\u0e2a\u0e19\u0e43\u0e08\u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e1c\u0e39\u0e49\u0e17\u0e35\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e2a\u0e39\u0e07\u0e43\u0e19\u0e02\u0e19\u0e32\u0e14\u0e17\u0e35\u0e48\u0e40\u0e25\u0e47\u0e01\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 K420 \u0e40\u0e1b\u0e47\u0e19\u0e01\u0e32\u0e23\u0e4c\u0e14\u0e01\u0e23\u0e32\u0e1f\u0e34\u0e01\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e40\u0e23\u0e34\u0e48\u0e21\u0e15\u0e49\u0e19\u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e40\u0e27\u0e34\u0e23\u0e4c\u0e01\u0e2a\u0e40\u0e15\u0e0a\u0e31\u0e19\u0e17\u0e35\u0e48\u0e2d\u0e2d\u0e01\u0e41\u0e1a\u0e1a\u0e21\u0e32\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e43\u0e2b\u0e49\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e2a\u0e39\u0e07\u0e43\u0e19\u0e07\u0e32\u0e19\u0e14\u0e49\u0e32\u0e19\u0e01\u0e23\u0e32\u0e1f\u0e34\u0e01 3D \u0e41\u0e25\u0e30\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25\u0e20\u0e32\u0e1e \u0e42\u0e14\u0e22\u0e21\u0e35\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 Kepler \u0e41\u0e25\u0e30\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e4d\u0e32 1 GB DDR3 \u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19\u0e43\u0e19\u0e2a\u0e20\u0e32\u0e1e\u0e41\u0e27\u0e14\u0e25\u0e49\u0e2d\u0e21\u0e17\u0e35\u0e48\u0e08\u0e4d\u0e32\u0e01\u0e31\u0e14\u0e1e\u0e37\u0e49\u0e19\u0e17\u0e35\u0e48\u0e41\u0e25\u0e30\u0e1e\u0e25\u0e31\u0e07\u0e07\u0e32\u0e19 \u0e40\u0e0a\u0e48\u0e19 \u0e40\u0e04\u0e23\u0e37\u0e48\u0e2d\u0e07\u0e04\u0e2d\u0e21\u0e1e\u0e34\u0e27\u0e40\u0e15\u0e2d\u0e23\u0e4c\u0e02\u0e19\u0e32\u0e14\u0e40\u0e25\u0e47\u0e01\u0e2b\u0e23\u0e37\u0e2d\u0e40\u0e04\u0e23\u0e37\u0e48\u0e2d\u0e07\u0e17\u0e35\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e01\u0e32\u0e23\u0e4c\u0e14\u0e01\u0e23\u0e32\u0e1f\u0e34\u0e01\u0e17\u0e35\u0e48\u0e21\u0e35\u0e02\u0e19\u0e32\u0e14\u0e01\u0e30\u0e17\u0e31\u0e14\u0e23\u0e31\u0e14\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>The NVIDIA Quadro K420 is an entry-level graphics card designed for workstations, delivering high performance in 3D graphics and image processing tasks. Built on the Kepler architecture with 1 GB DDR3 memory, it is ideal for environments with space and power constraints, such as small form-factor PCs or systems requiring a compact and energy-efficient graphics solution .<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The NVIDIA Quadro K420 is an entry-level graphics card designed for compact workstations, featuring the Kepler architecture and 1 GB DDR3 memory. It is suitable for 3D graphics and image processing tasks in environments with space and power constraints, such as small form-factor PCs or systems requiring a compact and energy-efficient graphics solution. With support for up to four displays via Multi-Stream Transport and a maximum power consumption of just 41 W, the Quadro K420 offers a compelling option for those seeking high performance in a small and power-efficient form factor.<\/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 K420<\/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":19201,"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-18955","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\/ja\/wp-json\/wp\/v2\/product\/18955","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=18955"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/ja\/wp-json\/wp\/v2\/media\/19201"}],"wp:attachment":[{"href":"https:\/\/droneth.or.th\/ja\/wp-json\/wp\/v2\/media?parent=18955"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/droneth.or.th\/ja\/wp-json\/wp\/v2\/product_brand?post=18955"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/droneth.or.th\/ja\/wp-json\/wp\/v2\/product_cat?post=18955"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/droneth.or.th\/ja\/wp-json\/wp\/v2\/product_tag?post=18955"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}