{"product_id":"msi-xpertstation-ws300-nvidia-dgx-station","title":"MSI XpertStation WS300 NVIDIA DGX Station AI Supercomputer","description":"\u003cp data-pm-slice=\"1 1 []\"\u003e\u003cspan\u003eThe MSI XpertStation WS300 brings data-center-class AI performance to a deskside workstation. Powered by the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip and 748GB of coherent memory, it is built for AI development, model training, inference, data science, simulation, and private AI workloads.\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-pm-slice=\"1 3 []\"\u003e\u003cspan\u003e \u003c\/span\u003e \u003cspan\u003e \u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eIDEAL FOR\u003c\/span\u003e\u003c\/p\u003e\n\u003cul data-spread=\"false\"\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cspan\u003eGenerative AI development\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cspan\u003eLarge language model training and fine-tuning\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cspan\u003eLocal AI inference\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cspan\u003eData science and analytics\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cspan\u003eMedical and scientific AI workloads\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cspan\u003eSimulation and research\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cspan\u003eAutonomous AI agents\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cspan\u003ePrivate enterprise AI\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cspan\u003eCentralized team AI computing\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003eWhat is the MSI XpertStation WS300?\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThe MSI XpertStation WS300 is a professional deskside AI supercomputer based on NVIDIA DGX Station architecture.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eHow much memory does it support?\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eIt supports up to 748GB of coherent memory, combining up to 252GB of HBM3e GPU memory and 496GB of LPDDR5X system memory.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eWhat AI model size can it handle?\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThe system is designed to support AI models containing up to one trillion parameters.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eIs it a gaming PC?\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eNo. It is primarily designed for professional AI development, model training, inference, simulation and data-science workloads.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eDoes it include a display graphics card?\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThe system includes a double-wide PCIe 5.0 x16 expansion slot for a display card. The included display configuration must be confirmed with the supplier.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eIs it available in the UAE?\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eAvailability, final configuration, delivery time and pricing should be confirmed with Emarat Gamers before ordering.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-pm-slice=\"1 1 []\"\u003e\u003cspan\u003e\u003cbr\u003e\u003c\/span\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"MSI","offers":[{"title":"Default Title","offer_id":54132422443291,"sku":"WS300T60L","price":584999.0,"currency_code":"AED","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0797\/7077\/9931\/files\/WS300_1.png?v=1791375142","url":"https:\/\/emaratgamers.ae\/products\/msi-xpertstation-ws300-nvidia-dgx-station","provider":"emaratgamers.ae","version":"1.0","type":"link"}