{"id":18903,"date":"2026-09-16T20:13:51","date_gmt":"2026-09-16T13:13:51","guid":{"rendered":"https:\/\/droneth.or.th\/product\/winfast-gs1030st\/"},"modified":"2026-09-16T20:13:51","modified_gmt":"2026-09-16T13:13:51","slug":"winfast-gs1030st","status":"publish","type":"product","link":"https:\/\/droneth.or.th\/ja\/product\/winfast-gs1030st\/","title":{"rendered":"WinFast GS1030ST"},"content":{"rendered":"<p><strong>WinFast GS1030ST<\/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; 1U\/2 GPU\/1 CPU\/6 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>\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>\u30ab\u30c6\u30b4\u30ea<\/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>\u0e0b\u0e35\u0e1e\u0e35\u0e22\u0e39 (CPU)<\/strong><\/td>\n<td>Single Socket P (LGA 3647), \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a Intel Xeon Scalable Gen 2 (Cascade Lake\/Skylake), \u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 28 \u0e04\u0e2d\u0e23\u0e4c, TDP 70\u2013205 W | Single Socket P (LGA 3647), supports Intel Xeon Scalable Gen 2 (Cascade Lake\/Skylake), up to 28 cores, 70\u2013205 W TDP<\/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>6 DIMM slots, \u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 1.5 TB 3DS ECC DDR4\u20102933 MHz (RDIMM\/LRDIMM), \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a Intel Optane DCPMM | 6 DIMM slots, up to 1.5 TB 3DS ECC DDR4\u20102933 MHz (RDIMM\/LRDIMM), supports Intel Optane DCPMM<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e2a\u0e25\u0e47\u0e2d\u0e15 PCIe \/ GPU<\/strong><\/td>\n<td>2 x PCIe 3.0 x16 (\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a double-width GPUs), 1 x PCIe 3.0 x16 low-profile | 2 x PCIe 3.0 x16 (supports double-width GPUs), 1 x PCIe 3.0 x16 low-profile<\/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\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 2 \u0e43\u0e1a double-width GPU (NVIDIA GRID, Tesla M10\/P40\/V100S, P4\/T4\/A100) | Supports up to 2 double-width GPUs (NVIDIA GRID, Tesla M10\/P40\/V100S, P4\/T4\/A100)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e40\u0e04\u0e23\u0e37\u0e2d\u0e02\u0e48\u0e32\u0e22 (LAN)<\/strong><\/td>\n<td>Dual 10GBase-T LAN (Intel X550), plus dedicated IPMI LAN port | Dual 10GBase-T LAN (Intel X550), plus dedicated IPMI LAN port<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e2a\u0e15\u0e2d\u0e40\u0e23\u0e08 \/ Drive Bays<\/strong><\/td>\n<td>6 x hot-swap 2.5\u2032\u2032 SAS\/SATA bays, 2 x M.2 (2280) slots \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a NVMe\/SATA | 6 x hot-swap 2.5\u2032\u2032 SAS\/SATA bays, 2 x M.2 (2280) slots, supports NVMe\/SATA<\/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>8 x 4cm heavy-duty counter-rotating fans with air shroud and fan-speed control | 8 x 4 cm heavy-duty counter-rotating fans with air shroud and 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>1400W high-efficiency Platinum-level (94%+) PSU with PMBus | 1400W high-efficiency Platinum-level (94%+) PSU with PMBus<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e23\u0e30\u0e1a\u0e1a\u0e14\u0e39\u0e41\u0e25\u0e40\u0e04\u0e23\u0e37\u0e48\u0e2d\u0e07 (BMC)<\/strong><\/td>\n<td>BMC \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a IPMI 2.0, virtual media, KVM-over-LAN, IPMI-based system health monitoring &amp; SuperDoctor5 alerts | Onboard BMC supports IPMI 2.0, virtual media, KVM-over-LAN, IPMI-based system health monitoring &amp; SuperDoctor5 alerts<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e02\u0e19\u0e32\u0e14 (Form Factor)<\/strong><\/td>\n<td>1U rackmountable, \u0e02\u0e19\u0e32\u0e14: 43 mm (\u0e2a\u0e39\u0e07) x 437 mm (\u0e01\u0e27\u0e49\u0e32\u0e07) x 724 mm (\u0e25\u0e36\u0e01), \u0e19\u0e49\u0e4d\u0e32\u0e2b\u0e19\u0e31\u0e01\u0e2a\u0e38\u0e17\u0e18\u0e34 \u2248 12.7 kg | 1U rackmountable, Dimensions: 43 mm (H) x 437 mm (W) x 724 mm (D), Net Weight \u2248 12.7 kg<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>Supports up to 2 double-wide GPU cards<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>WinFast GS1030ST \u0e04\u0e37\u0e2d\u0e40\u0e0b\u0e34\u0e23\u0e4c\u0e1f\u0e40\u0e27\u0e2d\u0e23\u0e4c 1U \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 AI\/Deep Learning (Inference) \u0e41\u0e25\u0e30\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19\u0e41\u0e1a\u0e1a NVIDIA GRID \u0e42\u0e14\u0e22\u0e40\u0e09\u0e1e\u0e32\u0e30 \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e15\u0e34\u0e14\u0e15\u0e31\u0e49\u0e07 GPU \u0e41\u0e1a\u0e1a double-width \u0e44\u0e14\u0e49\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 2 \u0e43\u0e1a \u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e28\u0e39\u0e19\u0e22\u0e4c\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25, \u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22, \u0e2b\u0e23\u0e37\u0e2d\u0e1f\u0e32\u0e23\u0e4c\u0e21\u0e40\u0e23\u0e19\u0e40\u0e14\u0e2d\u0e23\u0e4c 3D \u0e17\u0e35\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e01\u0e4d\u0e32\u0e25\u0e31\u0e07\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25\u0e2a\u0e39\u0e07\u0e43\u0e19\u0e1e\u0e37\u0e49\u0e19\u0e17\u0e35\u0e48\u0e41\u0e23\u0e47\u0e04\u0e17\u0e35\u0e48\u0e08\u0e4d\u0e32\u0e01\u0e31\u0e14<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>WinFast GS1030ST is a 1U server specifically tailored for AI\/Deep Learning (Inference) and NVIDIA GRID use cases. It supports up to two double-width GPUs, making it ideal for data centers, research applications, and 3D rendering farms that require high compute within a compact rack footprint<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The WinFast GS1030ST is a compact yet powerful 1U server designed for AI inference, Deep Learning, and NVIDIA GRID workloads. Despite its small size, it supports up to two double-width GPUs, significant computational power via Intel Xeon Scalable Gen 2 processors with up to 28 cores, and up to 1.5 TB of DDR4 memory. Alongside flexible storage options and comprehensive BMC\/IPMI-based monitoring, the GS1030ST delivers high performance and reliability in dense data center 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_GS1030ST(30867)\/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 GS1030ST<\/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":18904,"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-18903","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\/ja\/wp-json\/wp\/v2\/product\/18903","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=18903"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/ja\/wp-json\/wp\/v2\/media\/18904"}],"wp:attachment":[{"href":"https:\/\/droneth.or.th\/ja\/wp-json\/wp\/v2\/media?parent=18903"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/droneth.or.th\/ja\/wp-json\/wp\/v2\/product_brand?post=18903"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/droneth.or.th\/ja\/wp-json\/wp\/v2\/product_cat?post=18903"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/droneth.or.th\/ja\/wp-json\/wp\/v2\/product_tag?post=18903"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}