{"id":18913,"date":"2026-09-16T20:13:58","date_gmt":"2026-09-16T13:13:58","guid":{"rendered":"https:\/\/droneth.or.th\/product\/winfast-gs2050t-a\/"},"modified":"2026-09-16T20:13:58","modified_gmt":"2026-09-16T13:13:58","slug":"winfast-gs2050t-a","status":"publish","type":"product","link":"https:\/\/droneth.or.th\/zh\/product\/winfast-gs2050t-a\/","title":{"rendered":"WinFast GS2050T-A"},"content":{"rendered":"<p><strong>WinFast GS2050T-A<\/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; 2U\/4 GPU\/2 CPU\/32 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>\u985e\u5225<\/strong><\/td>\n<td>\u0e23\u0e32\u0e22\u0e25\u0e30\u0e40\u0e2d\u0e35\u0e22\u0e14 (\u0e20\u0e32\u0e29\u0e32\u0e44\u0e17\u0e22) | Specification (English)<\/td>\n<\/tr>\n<tr>\n<td><strong>CPU<\/strong><\/td>\n<td>Dual Socket E (LGA\u20104677), \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a Intel Xeon Scalable Gen 4\/5 \u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 64 \u0e04\u0e2d\u0e23\u0e4c | Dual Socket E (LGA\u20104677), supports Intel Xeon Scalable Gen 4\/5, up to 64 cores<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e4d\u0e32 (RAM)<\/strong><\/td>\n<td>32 DIMM slots, \u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 8 TB ECC DDR5 5600 MT\/s RDIMM | 32 DIMM slots, up to 8 TB ECC DDR5\u20105600 MT\/s RDIMM<\/td>\n<\/tr>\n<tr>\n<td><strong>PCIe Slots<\/strong><\/td>\n<td>4 x PCIe 5.0 x16 slots, 1 x AIOM\/OCP 3.0 NIC slot | 4 x PCIe 5.0 x16 slots, 1 x AIOM\/OCP 3.0 NIC slot<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a GPU<\/strong><\/td>\n<td>\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a 4 double\u2010width GPUs \u0e40\u0e0a\u0e48\u0e19 NVIDIA H100\/L40S\/A100\/A40\/A16 \u0e2b\u0e23\u0e37\u0e2d RTX A6000\/A4000 Ada | Supports up to 4 double\u2010width GPUs (e.g., NVIDIA H100\/L40S\/A100\/A40\/A16 or RTX A6000\/A4000 Ada)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e40\u0e04\u0e23\u0e37\u0e2d\u0e02\u0e48\u0e32\u0e22 \/ IPMI<\/strong><\/td>\n<td>Dual 10GbE RJ45 LAN ports | Dual 10GbE RJ45 ports<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e0a\u0e48\u0e2d\u0e07\u0e40\u0e01\u0e47\u0e1a\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25<\/strong><\/td>\n<td>12 x 3.5\u2032\u2032\/2.5\u2032\u2032 hot-swap NVMe\/SAS\/SATA bays | 12 x 3.5\u2032\u2032\/2.5\u2032\u2032 hot-swap NVMe\/SAS\/SATA drive bays<\/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>4 x 8 cm heavy-duty fans \u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e04\u0e27\u0e1a\u0e04\u0e38\u0e21\u0e04\u0e27\u0e32\u0e21\u0e40\u0e23\u0e47\u0e27 | 4 x 8 cm heavy-duty fans with optimal fan speed control<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e41\u0e2b\u0e25\u0e48\u0e07\u0e08\u0e48\u0e32\u0e22\u0e44\u0e1f (PSU)<\/strong><\/td>\n<td>2 x 1200 W Redundant Titanium-level power supplies (96%) | 2 x 1200 W redundant Titanium-level power supplies (96%)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e23\u0e39\u0e1b\u0e41\u0e1a\u0e1a\u0e40\u0e04\u0e23\u0e37\u0e48\u0e2d\u0e07 \/ \u0e02\u0e19\u0e32\u0e14<\/strong><\/td>\n<td>2U rackmountable with rail kit; \u0e02\u0e19\u0e32\u0e14: \u0e2a\u0e39\u0e07 3.5\u2032\u2032 (88.9 mm) \u00d7 \u0e01\u0e27\u0e49\u0e32\u0e07 17.2\u2032\u2032 (437 mm) \u00d7 \u0e25\u0e36\u0e01 29.9\u2032\u2032 (760 mm); \u0e19\u0e49\u0e4d\u0e32\u0e2b\u0e19\u0e31\u0e01\u0e2a\u0e38\u0e17\u0e18\u0e34 \u2248 18.2 kg | 2U rackmountable with rail kit; Dimensions: H 3.5\u2032\u2032 (88.9 mm) \u00d7 W 17.2\u2032\u2032 (437 mm) \u00d7 D 29.9\u2032\u2032 (760 mm); Net weight \u2248 18.2 kg<\/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>Optimized for NVIDIA Virtual GPU<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>Supports up to 4 double-width GPU cards<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>WinFast GS2050T\u2010A \u0e40\u0e1b\u0e47\u0e19\u0e40\u0e0b\u0e34\u0e23\u0e4c\u0e1f\u0e40\u0e27\u0e2d\u0e23\u0e4c\u0e02\u0e19\u0e32\u0e14 2U \u0e17\u0e35\u0e48\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 AI, Deep Learning, HPC \u0e41\u0e25\u0e30\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25 GPU \u0e23\u0e30\u0e14\u0e31\u0e1a\u0e2d\u0e07\u0e04\u0e4c\u0e01\u0e23\u0e14\u0e49\u0e27\u0e22\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e2a\u0e39\u0e07 \u0e21\u0e32\u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 Dual Socket E (LGA\u20104677) \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a Intel Xeon Scalable \u0e40\u0e08\u0e40\u0e19\u0e2d\u0e40\u0e23\u0e0a\u0e31\u0e19 4 \u0e41\u0e25\u0e30 5, \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a GPU \u0e41\u0e1a\u0e1a double\u2010width \u0e44\u0e14\u0e49\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 4 \u0e43\u0e1a \u0e23\u0e27\u0e21\u0e16\u0e36\u0e07\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a vGPU \u0e08\u0e32\u0e01 NVIDIA \u2013 \u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19 AI \u0e17\u0e35\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e04\u0e27\u0e32\u0e21\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e43\u0e19\u0e01\u0e32\u0e23\u0e02\u0e22\u0e32\u0e22\u0e15\u0e31\u0e27\u0e41\u0e25\u0e30\u0e01\u0e32\u0e23\u0e2a\u0e37\u0e48\u0e2d\u0e2a\u0e32\u0e23\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e2a\u0e39\u0e07<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>WinFast GS2050T\u2010A is a 2U server engineered for AI, Deep Learning, HPC, and enterprise-level GPU compute workloads. Featuring a Dual Socket E (LGA\u20104677) architecture supporting 4th\/5th Gen Intel Xeon Scalable processors, it supports up to 4 double\u2010width GPUs and NVIDIA vGPU functionality\u2014ideal for high-throughput, scalable AI deployments.<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The WinFast GS2050T\u2010A is a 2U server built for enterprise-scale AI and Deep Learning workloads, offering high performance and scalability. Key features include dual Xeon Scalable processors (Gen 4\/5), up to 8 TB of DDR5 memory, support for 4 double\u2010width GPUs with NVIDIA vGPU support, hot\u2010swap storage bays, and robust Titanium-level power and cooling systems\u2014ideal for demanding, constant compute environments.<\/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_GS2050T-A(51020)\/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 GS2050T-A<\/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":18914,"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-18913","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\/18913","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=18913"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/media\/18914"}],"wp:attachment":[{"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/media?parent=18913"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/product_brand?post=18913"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/product_cat?post=18913"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/product_tag?post=18913"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}