{"id":18919,"date":"2026-09-16T20:14:04","date_gmt":"2026-09-16T13:14:04","guid":{"rendered":"https:\/\/droneth.or.th\/product\/winfast-gs4830nt\/"},"modified":"2026-09-16T20:14:04","modified_gmt":"2026-09-16T13:14:04","slug":"winfast-gs4830nt","status":"publish","type":"product","link":"https:\/\/droneth.or.th\/ko\/product\/winfast-gs4830nt\/","title":{"rendered":"WinFast GS4830NT"},"content":{"rendered":"<p><strong>WinFast GS4830NT<\/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; 4U\/8 GPU\/NVLink\/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>\ubd80\ubd84<\/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>\ubc94\uc8fc<\/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>Dual Socket P (LGA 3647) \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a Intel Xeon Scalable Gen 2 (Cascade Lake\/Skylake), UPI \u00d73 \u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 10.4 GT\/s, \u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 28 \u0e04\u0e2d\u0e23\u0e4c | Dual Socket P (LGA 3647), supports 2nd Gen Intel Xeon Scalable (Cascade Lake\/Skylake), 3 UPI up to 10.4 GT\/s, up to 28 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>24 DIMM slots, \u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 6 TB 3DS ECC DDR4\u20102933 MHz, \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a Intel Optane DCPMM | 24 DIMM slots, up to 6 TB 3DS ECC DDR4\u20102933 MHz RDIMM\/LRDIMM; supports Intel Optane DCPMM<\/td>\n<\/tr>\n<tr>\n<td><strong>GPU<\/strong><\/td>\n<td>\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a NVIDIA Tesla V100 SXM2 \u0e44\u0e14\u0e49\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 8 \u0e43\u0e1a, \u0e21\u0e35 NVLink 300 GB\/s \u0e41\u0e25\u0e30\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a GPUDirect RDMA | Supports up to 8 NVIDIA Tesla V100 SXM2 GPUs, with NVLink up to 300 GB\/s and GPUDirect RDMA optimized<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e1e\u0e2d\u0e23\u0e4c\u0e15\u0e40\u0e04\u0e23\u0e37\u0e2d\u0e02\u0e48\u0e32\u0e22<\/strong><\/td>\n<td>Dual 10GbE LAN (Intel X540), \u0e1e\u0e23\u0e49\u0e2d\u0e21 IPMI \u30e9\u0e19\u0e40\u0e09\u0e1e\u0e32\u0e30 | Dual 10GbE LAN via Intel X540, plus a dedicated IPMI LAN<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e2a\u0e15\u0e2d\u0e40\u0e23\u0e08 &amp; \u0e14\u0e34\u0e2a\u0e01\u0e4c\u0e40\u0e1a\u0e22\u0e4c<\/strong><\/td>\n<td>16 \u0e0a\u0e48\u0e2d\u0e07 hot\u2010swap 2.5\u2032\u2032 SAS\/SATA (\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e40\u0e1e\u0e34\u0e48\u0e21 8 NVMe), \u0e41\u0e25\u0e30 1 NVMe M.2 interface | 16 hot-swap 2.5\u2032\u2032 SAS\/SATA drive bays (optionally 8 NVMe), and 1 NVMe M.2 interface<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e2a\u0e25\u0e47\u0e2d\u0e15 PCIe<\/strong><\/td>\n<td>4 PCIe 3.0 x16 (GPU tray for GPUDirect RDMA), 2 PCIe 3.0 x16 (CPU tray) slots \u0e2b\u0e23\u0e37\u0e2d\u0e43\u0e0a\u0e49\u0e40\u0e1b\u0e47\u0e19 NVMe 8 \u0e0a\u0e48\u0e2d\u0e07 | 4 PCIe 3.0 x16 slots (GPU tray for GPUDirect RDMA), plus 2 PCIe 3.0 x16 (CPU tray) that can accommodate up to 8 NVMe devices<\/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 92 mm high\u2010RPM heavy\u2010duty fans | Eight 92 mm high-durability, high-speed cooling fans<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e41\u0e2b\u0e25\u0e48\u0e07\u0e08\u0e48\u0e32\u0e22\u0e44\u0e1f<\/strong><\/td>\n<td>4 x 2200 W (2+2) redundant Titanium-level PSU (&gt;96%), \u0e21\u0e35 PMBus | 4 x 2200 W (2+2) redundant Titanium-level power supplies (&gt;96% efficiency), with PMBus<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e02\u0e19\u0e32\u0e14 \/ \u0e19\u0e49\u0e4d\u0e32\u0e2b\u0e19\u0e31\u0e01<\/strong><\/td>\n<td>4U Rackmount: \u0e2a\u0e39\u0e07 178 mm \u00d7 \u0e01\u0e27\u0e49\u0e32\u0e07 447 mm \u00d7 \u0e25\u0e36\u0e01 805 mm; \u0e19\u0e49\u0e4d\u0e32\u0e2b\u0e19\u0e31\u0e01\u0e2a\u0e38\u0e17\u0e18\u0e34 ~36.2 kg | 4U Rackmount: Height 178 mm \u00d7 Width 447 mm \u00d7 Depth 805 mm; Net Weight ~36.2 kg<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e23\u0e30\u0e1a\u0e1a\u0e1b\u0e0f\u0e34\u0e1a\u0e31\u0e15\u0e34\u0e01\u0e32\u0e23<\/strong><\/td>\n<td>\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a Ubuntu 16.04\/18.04 LTS, RHEL 7.5+, Windows Server 2016\/2019, VMware ESXi 6.5\/6.7, Citrix XenServer | Supports Ubuntu 16.04\/18.04 LTS, RHEL 7.5+, Windows Server 2016\/2019, VMware ESXi 6.5\/6.7, Citrix XenServer<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>8 NVIDIA Tesla V100 32G SXM2 GPUs<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>Independant CPU and GPU thermal zones<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>NVIDIA NVLink GPU Interconnect up to 300GB\/s<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>Optimized for GPUDirect RDMA<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>WinFast GS4830NT \u0e40\u0e1b\u0e47\u0e19\u0e40\u0e0b\u0e34\u0e23\u0e4c\u0e1f\u0e40\u0e27\u0e2d\u0e23\u0e4c\u0e02\u0e19\u0e32\u0e14 4U \u0e17\u0e35\u0e48\u0e2d\u0e2d\u0e01\u0e41\u0e1a\u0e1a\u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19\u0e14\u0e49\u0e32\u0e19 AI, Deep Learning, HPC \u0e41\u0e25\u0e30\u0e07\u0e32\u0e19\u0e40\u0e23\u0e19\u0e40\u0e14\u0e2d\u0e23\u0e4c 3D \u0e42\u0e14\u0e22\u0e40\u0e09\u0e1e\u0e32\u0e30 \u0e21\u0e32\u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e01\u0e31\u0e1a GPU \u0e41\u0e1a\u0e1a NVIDIA Tesla V100 (SXM2) \u0e08\u0e4d\u0e32\u0e19\u0e27\u0e19\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 8 \u0e43\u0e1a \u0e1e\u0e23\u0e49\u0e2d\u0e21 NVLink \u0e17\u0e35\u0e48\u0e43\u0e2b\u0e49\u0e41\u0e1a\u0e19\u0e14\u0e4c\u0e27\u0e34\u0e18\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14\u0e16\u0e36\u0e07 300 GB\/s \u0e41\u0e25\u0e30\u0e1c\u0e48\u0e32\u0e19\u0e01\u0e32\u0e23\u0e2d\u0e2d\u0e01\u0e41\u0e1a\u0e1a\u0e21\u0e32\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a GPUDirect RDMA \u0e0a\u0e48\u0e27\u0e22\u0e43\u0e2b\u0e49\u0e2a\u0e37\u0e48\u0e2d\u0e2a\u0e32\u0e23\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e23\u0e30\u0e2b\u0e27\u0e48\u0e32\u0e07 GPU \u0e41\u0e25\u0e30\u0e40\u0e04\u0e23\u0e37\u0e2d\u0e02\u0e48\u0e32\u0e22\u0e44\u0e14\u0e49\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e23\u0e27\u0e14\u0e40\u0e23\u0e47\u0e27\u0e41\u0e25\u0e30\u0e21\u0e35\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e2a\u0e39\u0e07<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>WinFast GS4830NT is a 4U server engineered for AI, Deep Learning, HPC, and 3D rendering tasks. It supports up to 8 NVIDIA Tesla V100 SXM2 GPUs, features NVLink interconnect with up to 300 GB\/s bandwidth, and is optimized for GPUDirect RDMA, enabling high-speed data transfers between GPUs and networks.<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The WinFast GS4830NT is a high-performance 4U server built for AI, Deep Learning, HPC, and 3D rendering applications. Featuring up to 8 NVIDIA Tesla V100 SXM2 GPUs connected via NVLink (300 GB\/s) and optimized for GPUDirect RDMA, it delivers exceptional GPU-to-GPU and GPU-to-network throughput. Complemented by Dual Xeon Scalable Gen 2 CPUs, up to 6 TB DDR4 RAM, fast networking, and flexible storage options, it\u2019s ideal for data center and clustered 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_GS4830NT(30865)\/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 GS4830NT<\/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":18920,"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-18919","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\/ko\/wp-json\/wp\/v2\/product\/18919","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/comments?post=18919"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/media\/18920"}],"wp:attachment":[{"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/media?parent=18919"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/product_brand?post=18919"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/product_cat?post=18919"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/product_tag?post=18919"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}