{"product_id":"msi-xpertstation-ws300-ws300t60l-nvidia-dgx-station-gb300","title":"MSI XpertStation WS300 (WS300T60L \/ NVIDIA DGX Station GB300)","description":"\u003ch2\u003eProduct features \u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eCPU \u0026amp; GPU\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eProcessor: 1x NVIDIA Grace\u003cmeta charset=\"utf-8\"\u003e \u003cspan\u003e™\u003c\/span\u003e 72-core Neoverse V2 CPU (ARM-based)\u003c\/li\u003e\n\u003cli\u003eGPU: 1x NVIDIA Blackwell Ultra GPU\u003c\/li\u003e\n\u003cli\u003eMIG: Multi-instance GPU for up to 7 MIGs\u003c\/li\u003e\n\u003cli\u003eoptional: 1x dedicated NVIDIA Blackwell GPU for graphics rendering, e.g. RTX Pro 2000 Blackwell\u003cmeta charset=\"utf-8\"\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eRAM\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003etotal coherent memory: 748GB, linked via NVLink\u003cmeta charset=\"utf-8\"\u003e \u003cspan\u003e®\u003c\/span\u003e-C2C, at 900 GB\/s interconnect bandwidth\u003c\/li\u003e\n\u003cli\u003eCPU memory: 496GB ECC LPDDR5X, 396 GB\/s memory bandwidth\u003c\/li\u003e\n\u003cli\u003eGPU memory: 252GB ECC HBM3e, 7.1 TB\/s memory bandwidth\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eNetworking\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDual-port QSFP112 400GbE LAN via NVIDIA ConnectX-8 SuperNIC (= 800 Gbit\/s bandwidth total)\u003c\/li\u003e\n\u003cli\u003e1x RJ45 10GbE LAN port (Marvell AQC113)\u003c\/li\u003e\n\u003cli\u003e1x RJ45 1GbE Dedicated BMC LAN port\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eStorage\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e2x M.2 PCIe 5.0 x4 NVMe (M-key 2280), from CPU, with software RAID 1 support, for boot drives\u003c\/li\u003e\n\u003cli\u003e2x M.2 PCIe 6.0 x4 NVMe (M-key 2280), from ConnectX-8\u003c\/li\u003e\n\u003cli\u003epopulated with 2x 2TB SSDs - configurable\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003ePCIe Slots\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e1x PCIe Gen 5 x16 FHFL double-width, for GPUs\u003c\/li\u003e\n\u003cli\u003e2x PCIe Gen 5 x8 (in x16) FHHL \u003c\/li\u003e\n\u003cli\u003e1x M.2 PCIe 2.0 x1 slot (E-Key 2230)), for WiFi\/BT\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eTop I\/O Ports and Connectors\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThe I\/Os are located on the top of the chassis\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e2x USB 3.2 Gen2 port (Type-C)\u003c\/li\u003e\n\u003cli\u003e2x USB 3.2 Gen1 ports (Type-A)\u003c\/li\u003e\n\u003cli\u003e2x Audio jacks (Mic\/Audio Line Out)\u003c\/li\u003e\n\u003cli\u003e1x power button (with power LED)\u003c\/li\u003e\n\u003cli\u003e1x reset button\u003c\/li\u003e\n\u003cli\u003e1x storage activity (HDD) LED\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eRear IO Ports and Connectors\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e4x USB 3.2 Gen2 ports (Type-A, 10 Gbit\/s)\u003c\/li\u003e\n\u003cli\u003e1x microUSB COM port \u003c\/li\u003e\n\u003cli\u003e\n\u003cmeta charset=\"utf-8\"\u003e1x mini-DP (video port, 1024 x 768 max. resolution)\u003c\/li\u003e\n\u003cli\u003e2x QSFP112 ports (400 Gbit\/s each)\u003c\/li\u003e\n\u003cli\u003e1x RJ45 port 10 Gbit\/s Ethernet\u003c\/li\u003e\n\u003cli\u003e1x RJ45 management port 1 Gbit\/s Ethernet\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e3x Audio jacks (Audio in\/Audio out\/Mic)\u003c\/li\u003e\n\u003cli\u003e1x power switch\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eOS \u0026amp; security\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eon-board TPM2.0 \u003c\/li\u003e\n\u003cli\u003eHardware Root of Trust - Microchip CEC1736 supported (optional)\u003c\/li\u003e\n\u003cli\u003eOS: Ubuntu 24.04 LTS with NVIDIA AI Developer Tools\u003c\/li\u003e\n\u003cli\u003epre-installed with essential CUDA-X™ libraries\u003c\/li\u003e\n\u003cli\u003echassis intrusion\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eIT manageability and enterprise features\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eASPEED AST2600 with AMI MegaRAC based firmware\u003cbr\u003esupporting IPMI 2.0\u003c\/li\u003e\n\u003cli\u003eDMTF Redfish API support\u003c\/li\u003e\n\u003cli\u003eout-of-band telemetry via BMC\u003c\/li\u003e\n\u003cli\u003eeMMC for local BMC storage media\u003c\/li\u003e\n\u003cli\u003eNVIDIA Data Center GPU Manager\u003c\/li\u003e\n\u003cli\u003evisibility, monitoring, remote management capabilities\u003c\/li\u003e\n\u003cli\u003ehardware root of trust\u003c\/li\u003e\n\u003cli\u003eenterprise secure boot\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eDimensions, weight, form factor\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eForm factor: desktop tower\u003c\/li\u003e\n\u003cli\u003eheight: 527.9 mm \/ 20.78''\u003c\/li\u003e\n\u003cli\u003ewidth: 247.8 mm \/ 9.76''\u003c\/li\u003e\n\u003cli\u003edepth: 582.7 mm \/ 22.9''\u003c\/li\u003e\n\u003cli\u003epackaging dimensions: TBD\u003c\/li\u003e\n\u003cli\u003enet weight: TBD\u003c\/li\u003e\n\u003cli\u003egross weight: TBD\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eSystem cooling\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003ecooling system: closed-loop liquid cooling (suitable for office use) for max. 1400W CPU+GPU\u003c\/li\u003e\n\u003cli\u003e1x 12025 System Fan\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003ePower supply\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003epower supply: 1x 1600W ATX 80 PLUS Platinum power supply\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eMisc\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAudio: Realtek® ALC4080 Audio Codec\u003c\/li\u003e\n\u003cli\u003eoperating temperature: 10°C to 30°C (50°F - 86°F)\u003c\/li\u003e\n\u003cli\u003estorage temperature: 5°C to 40°C (41°F to 104°F)\u003c\/li\u003e\n\u003cli\u003eoperating relative humidity: 10% to 80% (non-condensing)\u003c\/li\u003e\n\u003cli\u003estorage relative humidity: 10% to 80% (non-condensing)\u003c\/li\u003e\n\u003cli\u003eregulatory: CE, FCC (Class A) \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003epacking content:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e1 x msi XpertStation WS300 AI Supercomputer (NVIDIA DGX Station GB300)\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eAI performance\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eFP4 Tensor core: 20 PFLOPS \/ 15 PFLOPS without sparsity\u003c\/li\u003e\n\u003cli\u003eFP8 \/ FP6 Tensor core: 10 PFLOPS\u003c\/li\u003e\n\u003cli\u003eInt8 Tensor Core: 330 TOPS\u003c\/li\u003e\n\u003cli\u003eFP16\/BF16 Tensor Core: 5 PFLOPS\u003c\/li\u003e\n\u003cli\u003eTF32 Tensor Core: 2.5 PFLOPS\u003c\/li\u003e\n\u003cli\u003eFP32: 80 TFLOPS\u003c\/li\u003e\n\u003cli\u003eFP64 \/ FP64 Tensor Core: 1.3 TFLOPS\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch2\u003eProduct description\u003c\/h2\u003e\n\u003cp\u003eThe msi XpertStation WS300 AI Supercomputer is an NVIDIA DGX Station based on the GB300 Grace™ Blackwell superchip. It can be used for running local AI applications for development and production purposes. \u003c\/p\u003e\n\u003cp\u003eExample AI applications include LLM inference for frontier models of up to 1 Trillion parameters, scientific workloads (e.g. BioNeMo), finetuning models, hosting AI agents, and running RAGs for AI-enhanced document workflows. In particular it is well-suited to run MoE (mixture of experts) models. \u003c\/p\u003e\n\u003cp\u003eThanks to its MIG feature and its massive memory throughput it can be run headless to support several colleagues in a local workgroup. \u003c\/p\u003e\n\u003cp\u003eCompared to server systems, or heavy multi-GPU systems, it runs cooler and quieter, and is uniquely suited for office use. Its server-grade management features, such as the integrated BMC, the Redfish API support, and enterprise secure boot allow to integrate it into a corporate IT management landscape.\u003c\/p\u003e\n\u003cp\u003eTwo XpertStation WS300 AI supercomputers can be joined using the Dual-port QSFP112 400GbE LAN to serve even bigger models, increase precision, or general model performance.\u003c\/p\u003e\n\u003cp\u003eA separately obtainable NVIDIA AI Enterprise software license provides a suite of software tools, libraries, and frameworks to fast-track your AI deployment on the msi XpertStation WS300. \u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1560\/1473\/files\/MSI-XpertStation-WS300-Block-Level-Diagram-NVIDIA-DGX-Station-GB300.png?v=1785699751\" alt=\"\"\u003e\u003c\/p\u003e\n\u003ch2\u003eOptional GPUs\u003c\/h2\u003e\n\u003cp\u003eOne of the following optional GPUs can be added into the system to add graphics output options, and for scientific simulation and rendering workloads:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cspan\u003eNVIDIA RTX PRO 6000 Blackwell Workstation Edition\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eNVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eNVIDIA RTX PRO 4000 Blackwell SFF Edition\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eNVIDIA RTX PRO 2000 Blackwell\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eDatasheets, manuals and additional downloads\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1560\/1473\/files\/msi-WS300-D07292026-NVIDIA-DGX-Station-GB300-datasheet.pdf?v=1785696486\"\u003eMSI XpertStation WS300 (WS300T60L) datasheet (PDF)\u003c\/a\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1560\/1473\/files\/GIGABYTE_W775-V10-L01_datasheet-NVIDIA-DGX-Station-GB300.pdf?v=1785676358\"\u003e\u003cbr\u003e\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1560\/1473\/files\/msi-S429-WS300T60L-v1.0-XpertStation-QG-NVIDIA-DGX-Station-GB300-quick-start-guide.pdf?v=1785696786\"\u003eMSI XpertStation WS300 (WS300T60L) quick start guide (PDF)\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1560\/1473\/files\/msi-XpertStation-WS300-S429-WS300T60L-v1.0-XpertStation-UG-NVIDIA-DGX-Station-GB300-User-Guide.pdf?v=1785696926\"\u003eMSI XpertStation WS300 (WS300T60L) user manual (PDF)\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eLead time \u0026amp; purchase\u003c\/h2\u003e\n\u003cp\u003eThis product is available on pre-order with a current lead time of about 10-12 weeks. \u003ca href=\"https:\/\/buyzero.de\/pages\/kontakt\"\u003eContact us to purchase it.\u003c\/a\u003e\u003c\/p\u003e\n\u003ch2\u003eAdditional SKUs and codes \u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cmeta charset=\"utf-8\"\u003emodel number: WS300T60L\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cmeta charset=\"utf-8\"\u003eMS-S429\u003c\/li\u003e\n\u003cli\u003eMicro-Star Int’l Co.\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"msi","offers":[{"title":"Default Title","offer_id":53284344791307,"sku":"msi-WS300T60L","price":114000.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1560\/1473\/files\/msi-XpertStation-WS300-NVIDIA-DGX-Station-GB300-hero.png?v=1785700536","url":"https:\/\/buyzero.de\/en\/products\/msi-xpertstation-ws300-ws300t60l-nvidia-dgx-station-gb300","provider":"buyzero.de","version":"1.0","type":"link"}