{"id":18958,"date":"2026-09-16T20:14:21","date_gmt":"2026-09-16T13:14:21","guid":{"rendered":"https:\/\/droneth.or.th\/product\/nvidia-quadro-m4000\/"},"modified":"2026-09-16T20:14:21","modified_gmt":"2026-09-16T13:14:21","slug":"nvidia-quadro-m4000","status":"publish","type":"product","link":"https:\/\/droneth.or.th\/en\/product\/nvidia-quadro-m4000\/","title":{"rendered":"NVIDIA Quadro M4000"},"content":{"rendered":"<p><strong>NVIDIA Quadro M4000<\/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>section<\/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 (Specification)<\/strong><\/td>\n<td>\u0e23\u0e32\u0e22\u0e25\u0e30\u0e40\u0e2d\u0e35\u0e22\u0e14 (\u0e44\u0e17\u0e22) | Description (EN)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 (Architecture)<\/strong><\/td>\n<td>Maxwell 2 (GM204) | Maxwell 2 (GM204)<\/td>\n<\/tr>\n<tr>\n<td><strong>CUDA Cores<\/strong><\/td>\n<td>1,664 | 1,664<\/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>8 GB GDDR5 | 8 GB GDDR5<\/td>\n<\/tr>\n<tr>\n<td><strong>Memory Bus &amp; Bandwidth<\/strong><\/td>\n<td>256\u2010\u0e1a\u0e34\u0e15, ~192 GB\/s | 256\u2010bit, ~192 GB\/s<\/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 3.0 x16 | PCIe 3.0 x16<\/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>~120 W, \u0e43\u0e0a\u0e49\u0e44\u0e1f\u0e08\u0e32\u0e01 6\u2010pin x1 | ~120 W, single 6\u2010pin power connector<\/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>4\u00d7 DisplayPort 1.2 (4K@60 Hz) | 4\u00d7 DisplayPort 1.2 (4K@60 Hz)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e02\u0e19\u0e32\u0e14\u0e01\u0e32\u0e23\u0e4c\u0e14 (Form Factor)<\/strong><\/td>\n<td>Single-slot, Full Height | Single-slot, Full Height<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e27\u0e31\u0e19\u0e17\u0e35\u0e48\u0e2d\u0e2d\u0e01\u0e27\u0e32\u0e07\u0e08\u0e4d\u0e32\u0e2b\u0e19\u0e48\u0e32\u0e22 (Release)<\/strong><\/td>\n<td>29 \u0e21\u0e34\u0e16\u0e38\u0e19\u0e32\u0e22\u0e19 2015 | June 29, 2015<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19\u0e17\u0e35\u0e48\u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e21<\/strong><\/td>\n<td>\u0e07\u0e32\u0e19 3D, CAD, \u0e40\u0e23\u0e19\u0e40\u0e14\u0e2d\u0e23\u0e4c, \u0e27\u0e34\u0e0a\u0e27\u0e25 \u0e04\u0e2d\u0e21\u0e1e\u0e34\u0e27\u0e15\u0e34\u0e49\u0e07 | 3D design, CAD, rendering, visual computing<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>Quadro M4000 \u0e40\u0e1b\u0e47\u0e19\u0e01\u0e32\u0e23\u0e4c\u0e14\u0e01\u0e23\u0e32\u0e1f\u0e34\u0e01\u0e21\u0e37\u0e2d\u0e2d\u0e32\u0e0a\u0e35\u0e1e\u0e17\u0e35\u0e48\u0e21\u0e2d\u0e1a\u0e2a\u0e21\u0e14\u0e38\u0e25\u0e23\u0e30\u0e2b\u0e27\u0e48\u0e32\u0e07\u0e1e\u0e25\u0e31\u0e07\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25\u0e41\u0e25\u0e30\u0e04\u0e27\u0e32\u0e21\u0e1b\u0e23\u0e30\u0e2b\u0e22\u0e31\u0e14\u0e1e\u0e37\u0e49\u0e19\u0e17\u0e35\u0e48 \u0e14\u0e49\u0e27\u0e22\u0e1f\u0e2d\u0e23\u0e4c\u0e21\u0e41\u0e1f\u0e01\u0e40\u0e15\u0e2d\u0e23\u0e4c\u0e41\u0e1a\u0e1a single-slot \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\u0e02\u0e19\u0e32\u0e14\u0e40\u0e25\u0e47\u0e01\u0e2b\u0e23\u0e37\u0e2d\u0e42\u0e0b\u0e25\u0e39\u0e0a\u0e31\u0e19\u0e17\u0e35\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e23\u0e30\u0e1a\u0e1a\u0e01\u0e23\u0e32\u0e1f\u0e34\u0e01\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e2a\u0e39\u0e07\u0e42\u0e14\u0e22\u0e44\u0e21\u0e48\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e04\u0e27\u0e32\u0e21\u0e0b\u0e31\u0e1a\u0e0b\u0e49\u0e2d\u0e19\u0e02\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e08\u0e31\u0e14\u0e01\u0e32\u0e23\u0e1e\u0e37\u0e49\u0e19\u0e17\u0e35\u0e48 \u0e21\u0e32\u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e1e\u0e2d\u0e23\u0e4c\u0e15\u0e41\u0e2a\u0e14\u0e07\u0e1c\u0e25 4 \u0e0a\u0e48\u0e2d\u0e07\u0e17\u0e32\u0e07\u0e17\u0e35\u0e48\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e04\u0e27\u0e32\u0e21\u0e25\u0e30\u0e40\u0e2d\u0e35\u0e22\u0e14 4K \u0e44\u0e14\u0e49\u0e2b\u0e21\u0e14 \u0e04\u0e27\u0e32\u0e21\u0e41\u0e23\u0e07\u0e08\u0e32\u0e01 CUDA cores \u0e08\u0e4d\u0e32\u0e19\u0e27\u0e19\u0e21\u0e32\u0e01\u0e41\u0e25\u0e30\u0e04\u0e27\u0e32\u0e21\u0e40\u0e23\u0e47\u0e27\u0e41\u0e1a\u0e19\u0e14\u0e4c\u0e27\u0e34\u0e14\u0e18\u0e4c\u0e02\u0e2d\u0e07\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e4d\u0e32\u0e0a\u0e48\u0e27\u0e22\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19\u0e2d\u0e2d\u0e01\u0e41\u0e1a\u0e1a 3 \u0e21\u0e34\u0e15\u0e34\u0e41\u0e25\u0e30\u0e40\u0e23\u0e19\u0e40\u0e14\u0e2d\u0e23\u0e4c\u0e17\u0e35\u0e48\u0e21\u0e35\u0e04\u0e27\u0e32\u0e21\u0e25\u0e30\u0e40\u0e2d\u0e35\u0e22\u0e14\u0e2a\u0e39\u0e07\u0e44\u0e14\u0e49\u0e40\u0e1b\u0e47\u0e19\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e14\u0e35<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>NVIDIA Quadro M4000 \u0e04\u0e37\u0e2d\u0e01\u0e32\u0e23\u0e4c\u0e14\u0e01\u0e23\u0e32\u0e1f\u0e34\u0e01\u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e40\u0e27\u0e34\u0e23\u0e4c\u0e01\u0e2a\u0e40\u0e15\u0e0a\u0e31\u0e19\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e21\u0e37\u0e2d\u0e2d\u0e32\u0e0a\u0e35\u0e1e \u0e2b\u0e19\u0e36\u0e48\u0e07\u0e2a\u0e25\u0e47\u0e2d\u0e15 (single-slot) \u0e17\u0e35\u0e48\u0e43\u0e0a\u0e49\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 Maxwell \u0e04\u0e23\u0e31\u0e49\u0e07\u0e17\u0e35\u0e48 2 (GM204) \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\u0e01\u0e32\u0e23\u0e2d\u0e2d\u0e01\u0e41\u0e1a\u0e1a 3D \u0e27\u0e34\u0e28\u0e27\u0e01\u0e23\u0e23\u0e21 \u0e40\u0e23\u0e19\u0e40\u0e14\u0e2d\u0e23\u0e4c \u0e41\u0e25\u0e30\u0e07\u0e32\u0e19 visual computing \u0e2d\u0e22\u0e48\u0e32\u0e07\u0e21\u0e35\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e2a\u0e39\u0e07\u0e43\u0e19\u0e40\u0e0b\u0e34\u0e23\u0e4c\u0e1f\u0e40\u0e27\u0e2d\u0e23\u0e4c\u0e2b\u0e23\u0e37\u0e2d\u0e40\u0e27\u0e34\u0e23\u0e4c\u0e01\u0e2a\u0e40\u0e15\u0e0a\u0e31\u0e19\u0e02\u0e19\u0e32\u0e14\u0e40\u0e25\u0e47\u0e01<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The NVIDIA Quadro M4000 is a single-slot workstation graphics card based on the Maxwell 2 (GM204) architecture, engineered for professional 3D design, engineering, rendering, and visual computing workloads. It delivers high performance in compact workstation and server environments<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The Quadro M4000 strikes an excellent balance between compute power and compact design with its single-slot form factor, making it ideal for small workstations or setups where space is limited. Its four 4K-capable DisplayPort outputs, high number of CUDA cores, and robust memory bandwidth make it highly suitable for demanding 3D design and rendering tasks. This card brings professional-grade performance to compact systems with minimal footprint.<\/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 M4000<\/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":19204,"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-18958","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\/en\/wp-json\/wp\/v2\/product\/18958","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/comments?post=18958"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/media\/19204"}],"wp:attachment":[{"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/media?parent=18958"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/product_brand?post=18958"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/product_cat?post=18958"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/product_tag?post=18958"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}