{"title":"GPU Server","description":"\u003cp\u003eDeskside AI supercomputers and GPU servers built on NVIDIA GB300 Grace Blackwell Ultra and DGX Station architecture — data-center-class AI performance for local LLM training, inference, and autonomous AI agents.\u003c\/p\u003e","products":[{"product_id":"asus-expertcenter-pro-et900n-g3-nvidia-gb300-grace-blackwell-ultra-ai-workstation","title":"ASUS ExpertCenter Pro ET900N G3 — NVIDIA GB300 Grace Blackwell Ultra AI Workstation","description":"\u003ch2\u003eASUS ExpertCenter Pro ET900N G3\u003c\/h2\u003e\n\u003cp\u003e\u003cbr\u003e\u003cmeta charset=\"utf-8\"\u003eสอบถามสต็อกสินค้า สอบถามเพิ่มเติม \u003ca data-ved=\"0CAAQ_4QMahcKEwirsNHBjuuUAxUAAAAAHQAAAAAQWQ\" data-hveid=\"0\" class=\"ng-star-inserted\" href=\"https:\/\/m.me\/gearlabth\" rel=\"noopener\" target=\"_blank\"\u003ehttps:\/\/m.me\/gearlabth\u003c\/a\u003e หรือแอดไลน์ @gearlab\u003cbr\u003e\u003cbr\u003eA next-generation deskside AI supercomputer built on NVIDIA DGX Station GB300 architecture, delivering data-center-class AI performance in an office-friendly tower. Purpose-built for local LLM training, inference, and autonomous AI agent workflows — no cloud dependency, with full data control, lower latency, and predictable costs.\u003cbr\u003e\u003cmeta charset=\"utf-8\"\u003e\u003c\/p\u003e\n\u003cdiv class=\"KvSummary__productHeadiing__UPRDo KvSummary__themeWhite__21KI0\"\u003e\n\u003cp\u003e\u003cspan dir=\"auto\"\u003eปลดปล่อยพลัง AI ที่เหนือกว่าบนเดสก์ท็อปของคุณ\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"KvSummary__productIntro__1WXF- KvSummary__themeWhite__21KI0\"\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan dir=\"auto\"\u003eประสิทธิภาพ AI ระดับสูงสุด:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan dir=\"auto\"\u003eสร้างขึ้นบนสถาปัตยกรรม NVIDIA DGX Station™ ขับเคลื่อนด้วยชิปประมวลผล NVIDIA\u003cspan\u003e \u003c\/span\u003e\u003c\/span\u003e\u003csup\u003e\u003cspan dir=\"auto\"\u003e®\u003c\/span\u003e\u003c\/sup\u003e\u003cspan dir=\"auto\"\u003e\u003cspan\u003e \u003c\/span\u003eGB300 Grace Blackwell Superchip ให้ประสิทธิภาพ AI สูงสุดถึง 20 petaFLOPS และหน่วยความจำแบบโคฮีเรนต์ 748GB\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan dir=\"auto\"\u003eพร้อมใช้งานสำหรับเอเจนต์โอเพนซอร์ส:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan dir=\"auto\"\u003eรองรับ NVIDIA\u003cspan\u003e \u003c\/span\u003e\u003c\/span\u003e\u003csup\u003e\u003cspan dir=\"auto\"\u003e®\u003c\/span\u003e\u003c\/sup\u003e\u003cspan dir=\"auto\"\u003e\u003cspan\u003e \u003c\/span\u003eNemoClaw เพื่อเวิร์กโฟลว์เอเจนต์ AI ที่ปลอดภัยและคล่องตัว\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan dir=\"auto\"\u003eโซลูชัน AI แบบครบวงจร:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan dir=\"auto\"\u003eผสานรวมฮาร์ดแวร์ขั้นสูงเข้ากับชุดซอฟต์แวร์ AI ของ NVIDIA เพื่อการพัฒนาและใช้งาน AI\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan dir=\"auto\"\u003eสถาปัตยกรรมที่ปรับขนาดได้:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan dir=\"auto\"\u003e\u003cspan\u003e \u003c\/span\u003eระบบเครือข่าย NVIDIA\u003cspan\u003e \u003c\/span\u003e\u003c\/span\u003e\u003csup\u003e\u003cspan dir=\"auto\"\u003e®\u003c\/span\u003e\u003c\/sup\u003e\u003cspan dir=\"auto\"\u003e\u003cspan\u003e \u003c\/span\u003eNVLink-C2C และ ConnectX-8 ช่วยให้มีหน่วยความจำมากขึ้นและปรับขนาดโมเดลได้มากขึ้น\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan dir=\"auto\"\u003eดีไซน์แบบทาวเวอร์ ประสิทธิภาพขั้นสูง:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan dir=\"auto\"\u003eมอบพลังการประมวลผล AI อันทรงพลังในรูปแบบทาวเวอร์มาตรฐาน\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003ch3\u003eKey Highlights\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eNVIDIA GB300 Grace Blackwell Ultra Desktop Superchip\u003c\/li\u003e\n\u003cli\u003eUp to 748 GB coherent unified memory\u003c\/li\u003e\n\u003cli\u003eUp to 20 PFLOPS (FP4) AI performance\u003c\/li\u003e\n\u003cli\u003eIntegrated NVIDIA ConnectX-8 SuperNIC — 800 Gbps networking\u003c\/li\u003e\n\u003cli\u003eNVIDIA DGX OS + full NVIDIA AI software stack (NVIDIA AI Enterprise, NemoClaw)\u003c\/li\u003e\n\u003cli\u003eDesigned for 24\/7 sustained AI workloads\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eSpecifications\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eSuperchip:\u003c\/strong\u003e NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCPU:\u003c\/strong\u003e NVIDIA Grace — 72-core Arm Neoverse V2\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGPU:\u003c\/strong\u003e NVIDIA Blackwell Ultra\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory:\u003c\/strong\u003e 748 GB coherent unified memory (496 GB LPDDR5X for Grace CPU @ 396 GB\/s + 252 GB HBM3e for GPU @ 7.1 TB\/s)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eInterconnect:\u003c\/strong\u003e NVIDIA NVLink-C2C\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNetworking:\u003c\/strong\u003e 2× ConnectX-8 400G QSFP ports (800 Gbps), 1× Marvell 10Gb Ethernet\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eStorage:\u003c\/strong\u003e Up to 4× M.2 2280 NVMe SSD (2× PCIe 5.0 x4 for OS RAID 1, 2× PCIe 6.0 x4 for training data)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eManagement:\u003c\/strong\u003e ASPEED AST2600 BMC (IPMI 2.0 \/ Redfish), on-board TPM 2.0, dedicated 1Gb Ethernet + mini DisplayPort for BMC\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFront \/ Rear I\/O:\u003c\/strong\u003e USB 10Gbps Type-C and Type-A ports, USB 2.0, audio jacks, Micro USB COM (BMC)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePower Supply:\u003c\/strong\u003e 1600W Titanium ATX (115–240 Vac), IEC C19\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOS:\u003c\/strong\u003e NVIDIA DGX OS (future Windows AI development support planned)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 23.2 × 58.4 × 56.5 cm (tower)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel \/ Item:\u003c\/strong\u003e ET900N G3 \/ SYSASUET901R\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eIdeal For\u003c\/h3\u003e\n\u003cp\u003eAI research labs, enterprise AI deployment, LLM fine-tuning and generative AI, physical AI and simulation, and next-generation autonomous AI agents — deployed securely on-premises.\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003eAll specifications subject to change without notice. Please contact Gearlab for current pricing, configuration, and availability.\u003c\/em\u003e\u003c\/p\u003e","brand":"ASUS","offers":[{"title":"2×2TB NVMe SSD","offer_id":54083415998783,"sku":"SYSASUET901R-2SSD","price":3995250.0,"currency_code":"THB","in_stock":true},{"title":"4×2TB NVMe SSD","offer_id":54083416031551,"sku":"SYSASUET901R-4SSD","price":4104250.0,"currency_code":"THB","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0700\/2685\/4719\/files\/fwebp_bb68ecd1-7f3b-4463-9223-7508c6f9011a.webp?v=1783776458"},{"product_id":"msi-xpertstation-ws300-nvidia-gb300-grace-blackwell-ultra-ai-workstation","title":"MSI XpertStation WS300 — NVIDIA GB300 Grace Blackwell Ultra AI Workstation","description":"\u003ch2\u003eMSI XpertStation WS300 on NVIDIA DGX Station™ Architecture\u003c\/h2\u003e\n\u003cp\u003e\u003cmeta charset=\"utf-8\"\u003eสอบถามสต็อกสินค้า สอบถามเพิ่มเติม \u003ca data-ved=\"0CAAQ_4QMahcKEwirsNHBjuuUAxUAAAAAHQAAAAAQWQ\" data-hveid=\"0\" class=\"ng-star-inserted\" href=\"https:\/\/m.me\/gearlabth\" rel=\"noopener\" target=\"_blank\"\u003ehttps:\/\/m.me\/gearlabth\u003c\/a\u003e หรือแอดไลน์ @gearlab\u003cbr\u003e\u003cbr\u003eA next-generation deskside AI supercomputer built on NVIDIA DGX Station GB300 architecture, delivering data-center-class AI performance in a compact tower. Purpose-built for large language models (LLMs), generative AI, data science, and autonomous AI agents — bringing the full power of a data center to your desk, without cloud dependency.\u003c\/p\u003e\n\u003ch3\u003eKey Highlights\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eNVIDIA GB300 Grace Blackwell Ultra Desktop Superchip\u003c\/li\u003e\n\u003cli\u003eUp to 748 GB coherent unified memory\u003c\/li\u003e\n\u003cli\u003eUp to 20 PFLOPS AI performance\u003c\/li\u003e\n\u003cli\u003eNVIDIA ConnectX-8 SuperNIC — dual 400GbE, up to 800 Gbps networking\u003c\/li\u003e\n\u003cli\u003eLiquid-cooled CPU, GPU, and networking\u003c\/li\u003e\n\u003cli\u003eNVIDIA DGX OS + full NVIDIA AI software stack (NemoClaw \/ OpenShell)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eSpecifications\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eSuperchip:\u003c\/strong\u003e NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCPU:\u003c\/strong\u003e NVIDIA Grace — 72-core Arm Neoverse V2\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGPU:\u003c\/strong\u003e NVIDIA Blackwell Ultra (single)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCombined TDP:\u003c\/strong\u003e up to 1,400W\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory:\u003c\/strong\u003e 748 GB coherent unified memory (496 GB LPDDR5X for Grace CPU @ 396 GB\/s + 252 GB HBM3e for GPU @ 7.1 TB\/s) via NVLink-C2C\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNetworking:\u003c\/strong\u003e 2× 400G QSFP112 ports (ConnectX-8 SuperNIC, 800 Gbps), 1× 10GbE RJ45 (Marvell AQC113)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eStorage:\u003c\/strong\u003e Up to 4× M.2 NVMe (PCIe Gen5 \u0026amp; Gen6)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCooling:\u003c\/strong\u003e Integrated liquid cooling (CPU, GPU, ConnectX-8, optical cages)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eManagement:\u003c\/strong\u003e BMC with mini-DisplayPort output\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePower Supply:\u003c\/strong\u003e 1600W 80 PLUS Titanium ATX (requires 240V)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOS:\u003c\/strong\u003e NVIDIA DGX OS\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 245 mm (W) × 528.4 mm (H) × 595 mm (D)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel \/ Item:\u003c\/strong\u003e XpertStation WS300 \/ SYSMSIWS301R\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eIdeal For\u003c\/h3\u003e\n\u003cp\u003eAI research labs, ML engineering teams, and data-sovereignty-focused organizations running LLM training and fine-tuning, generative AI, data science, real-time inference, and physical AI \/ robotics — deployed securely on-premises.\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003eAll specifications subject to change without notice. Please contact Gearlab for current pricing, configuration, and availability.\u003c\/em\u003e\u003c\/p\u003e","brand":"MSI","offers":[{"title":"2×2TB NVMe SSD","offer_id":54083431760191,"sku":"SYSMSIWS301R-2SSD","price":4000000.0,"currency_code":"THB","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0700\/2685\/4719\/files\/202606301313360000086028_1.jpg?v=1783777180"}],"url":"https:\/\/www.gearlab.co.th\/collections\/gpu-server.oembed","provider":"Gearlab","version":"1.0","type":"link"}