{"id":18933,"date":"2026-09-16T20:14:12","date_gmt":"2026-09-16T13:14:12","guid":{"rendered":"https:\/\/droneth.or.th\/product\/winfast-gs5852t\/"},"modified":"2026-09-16T20:14:12","modified_gmt":"2026-09-16T13:14:12","slug":"winfast-gs5852t","status":"publish","type":"product","link":"https:\/\/droneth.or.th\/zh\/product\/winfast-gs5852t\/","title":{"rendered":"WinFast GS5852T"},"content":{"rendered":"<p><strong>WinFast GS5852T<\/strong> \u0e40\u0e1b\u0e47\u0e19 GPU Server \u0e08\u0e32\u0e01 <strong>Leadtek<\/strong> \u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19 AI training, multi-GPU compute, HPC, AI inference \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> WinFast Workstation &amp; Server &#8211; 5U\/10 GPU\/2 CPU\/24 DIMM slot<\/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>multi-GPU compute<\/li>\n<li>HPC<\/li>\n<li>AI inference<\/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>\u0e23\u0e39\u0e1b\u0e41\u0e1a\u0e1a<\/strong><\/td>\n<td>5U Rackmountable \u0e1e\u0e23\u0e49\u0e2d\u0e21 Rail kit<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e02\u0e19\u0e32\u0e14<\/strong><\/td>\n<td>\u0e04\u0e27\u0e32\u0e21\u0e2a\u0e39\u0e07 222.5 \u0e21\u0e21., \u0e04\u0e27\u0e32\u0e21\u0e01\u0e27\u0e49\u0e32\u0e07 437 \u0e21\u0e21., \u0e04\u0e27\u0e32\u0e21\u0e25\u0e36\u0e01 737 \u0e21\u0e21.<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e19\u0e49\u0e4d\u0e32\u0e2b\u0e19\u0e31\u0e01<\/strong><\/td>\n<td>\u0e19\u0e49\u0e4d\u0e32\u0e2b\u0e19\u0e31\u0e01\u0e2a\u0e38\u0e17\u0e18\u0e34 29.7 \u0e01\u0e01., \u0e19\u0e49\u0e4d\u0e32\u0e2b\u0e19\u0e31\u0e01\u0e23\u0e27\u0e21 45.3 \u0e01\u0e01.<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e0a\u0e48\u0e2d\u0e07\u0e02\u0e22\u0e32\u0e22 PCIe<\/strong><\/td>\n<td>13 \u0e0a\u0e48\u0e2d\u0e07 PCIe Gen 5.0 x16 FHFL<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e0a\u0e48\u0e2d\u0e07 M.2<\/strong><\/td>\n<td>2 \u0e0a\u0e48\u0e2d\u0e07 M.2 PCIe 4.0 x4 (\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a 2280, 22110)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e23\u0e30\u0e1a\u0e1a\u0e23\u0e30\u0e1a\u0e32\u0e22\u0e04\u0e27\u0e32\u0e21\u0e23\u0e49\u0e2d\u0e19<\/strong><\/td>\n<td>\u0e1e\u0e31\u0e14\u0e25\u0e21\u0e2b\u0e19\u0e31\u0e01 8 \u0e0b\u0e21. \u0e08\u0e4d\u0e32\u0e19\u0e27\u0e19 10 \u0e15\u0e31\u0e27 \u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e01\u0e32\u0e23\u0e04\u0e27\u0e1a\u0e04\u0e38\u0e21\u0e04\u0e27\u0e32\u0e21\u0e40\u0e23\u0e47\u0e27\u0e1e\u0e31\u0e14\u0e25\u0e21\u0e17\u0e35\u0e48\u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e21<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e41\u0e2b\u0e25\u0e48\u0e07\u0e08\u0e48\u0e32\u0e22\u0e44\u0e1f<\/strong><\/td>\n<td>4 \u0e41\u0e2b\u0e25\u0e48\u0e07\u0e08\u0e48\u0e32\u0e22\u0e44\u0e1f 2700W \u0e41\u0e1a\u0e1a Redundant (2+2) \u0e23\u0e30\u0e14\u0e31\u0e1a Titanium \u0e1e\u0e23\u0e49\u0e2d\u0e21 PMBus<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e04\u0e27\u0e32\u0e21\u0e40\u0e02\u0e49\u0e32\u0e01\u0e31\u0e19\u0e44\u0e14\u0e49\u0e02\u0e2d\u0e07\u0e23\u0e30\u0e1a\u0e1a\u0e1b\u0e0f\u0e34\u0e1a\u0e31\u0e15\u0e34\u0e01\u0e32\u0e23<\/strong><\/td>\n<td>Windows Server 2019\/2022, RHEL 8.6, Ubuntu 20.04 LTS<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e2a\u0e20\u0e32\u0e1e\u0e41\u0e27\u0e14\u0e25\u0e49\u0e2d\u0e21\u0e01\u0e32\u0e23\u0e17\u0e4d\u0e32\u0e07\u0e32\u0e19<\/strong><\/td>\n<td>\u0e2d\u0e38\u0e13\u0e2b\u0e20\u0e39\u0e21\u0e34\u0e01\u0e32\u0e23\u0e17\u0e4d\u0e32\u0e07\u0e32\u0e19 10\u00b0C ~ 35\u00b0C, \u0e04\u0e27\u0e32\u0e21\u0e0a\u0e37\u0e49\u0e19\u0e2a\u0e31\u0e21\u0e1e\u0e31\u0e17\u0e18\u0e4c 8% ~ 90% (\u0e44\u0e21\u0e48\u0e04\u0e27\u0e1a\u0e41\u0e19\u0e48\u0e19)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e01\u0e32\u0e23\u0e08\u0e31\u0e14\u0e40\u0e01\u0e47\u0e1a\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25<\/strong><\/td>\n<td>\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a 24 \u0e0a\u0e48\u0e2d\u0e07 2.5\u2032\u2032 hot-swap NVMe\/SATA\/SAS drive bays (8x NVMe hybrid; 8x NVMe dedicated) \u0e41\u0e25\u0e30 2 \u0e0a\u0e48\u0e2d\u0e07 M.2 NVMe<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>Optimized for AI\/Deep Learning GPU peering<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>Supports 10 double-wide GPU cards<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>Dual Root System with excellent GPU peer to peer communication<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>WinFast GS5850T \u0e04\u0e37\u0e2d\u0e40\u0e0b\u0e34\u0e23\u0e4c\u0e1f\u0e40\u0e27\u0e2d\u0e23\u0e4c\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e2a\u0e39\u0e07\u0e17\u0e35\u0e48\u0e2d\u0e2d\u0e01\u0e41\u0e1a\u0e1a\u0e21\u0e32\u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25\u0e17\u0e35\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e1e\u0e25\u0e31\u0e07\u0e07\u0e32\u0e19\u0e2a\u0e39\u0e07 \u0e40\u0e0a\u0e48\u0e19 \u0e01\u0e32\u0e23\u0e40\u0e23\u0e35\u0e22\u0e19\u0e23\u0e39\u0e49\u0e40\u0e0a\u0e34\u0e07\u0e25\u0e36\u0e01 (Deep Learning), \u0e01\u0e32\u0e23\u0e27\u0e34\u0e08\u0e31\u0e22\u0e17\u0e32\u0e07\u0e27\u0e34\u0e17\u0e22\u0e32\u0e28\u0e32\u0e2a\u0e15\u0e23\u0e4c, \u0e41\u0e25\u0e30\u0e01\u0e32\u0e23\u0e40\u0e23\u0e19\u0e40\u0e14\u0e2d\u0e23\u0e4c 3D \u0e42\u0e14\u0e22\u0e21\u0e35\u0e23\u0e39\u0e1b\u0e41\u0e1a\u0e1a 5U Rackmount \u0e17\u0e35\u0e48\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e15\u0e34\u0e14\u0e15\u0e31\u0e49\u0e07 GPU \u0e44\u0e14\u0e49\u0e16\u0e36\u0e07 10 \u0e15\u0e31\u0e27 \u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e14\u0e49\u0e27\u0e22\u0e23\u0e30\u0e1a\u0e1a\u0e23\u0e30\u0e1a\u0e32\u0e22\u0e04\u0e27\u0e32\u0e21\u0e23\u0e49\u0e2d\u0e19\u0e17\u0e35\u0e48\u0e21\u0e35\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e41\u0e25\u0e30\u0e41\u0e2b\u0e25\u0e48\u0e07\u0e08\u0e48\u0e32\u0e22\u0e44\u0e1f\u0e41\u0e1a\u0e1a Redundant \u0e23\u0e30\u0e14\u0e31\u0e1a Titanium \u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e04\u0e27\u0e32\u0e21\u0e40\u0e2a\u0e16\u0e35\u0e22\u0e23\u0e43\u0e19\u0e01\u0e32\u0e23\u0e17\u0e4d\u0e32\u0e07\u0e32\u0e19\u0e15\u0e48\u0e2d\u0e40\u0e19\u0e37\u0e48\u0e2d\u0e07<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The WinFast GS5850T is a high-performance server designed for demanding computations such as deep learning, scientific research, and 3D rendering. It features a 5U rackmount form factor supporting up to 10 GPUs, with an efficient cooling system and redundant Titanium-level power supplies for continuous operation stability.<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The WinFast GS5852T is a high-performance server designed for AI processing and high-performance computing. It supports up to 10 double-wide GPUs, efficient cooling systems, and 4 redundant power supplies for 24\/7 stability. Ideal for AI training, high-performance computing, and media streaming applications.<\/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.leadtek.com\/eng\/products\/workstation_server(30)\/WinFast_GS5852T(51038)\/detail\" target=\"_blank\" rel=\"nofollow noopener\">Leadtek<\/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>WinFast GS5852T<\/strong> \u0e40\u0e1b\u0e47\u0e19 GPU Server \u0e08\u0e32\u0e01 <strong>Leadtek<\/strong> \u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19 AI training, multi-GPU compute, HPC, AI inference \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":18934,"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":[390,384],"product_tag":[237,405,401],"class_list":{"0":"post-18933","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-gpu-server","7":"product_cat-gpu-ai-server","8":"product_tag-ai-","9":"product_tag-leadtek","10":"product_tag-server","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\/18933","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=18933"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/media\/18934"}],"wp:attachment":[{"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/media?parent=18933"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/product_brand?post=18933"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/product_cat?post=18933"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/product_tag?post=18933"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}