{"product_id":"msi-gb300-748gb-dgx-ai-workstation","title":"MSI XpertStation WS300 NVIDIA DGX GB300 Workstation","description":"\u003cstyle id=\"custom-css\"\u003e\n@media (max-width: 1600px) {\n.description-container .graphic-container img {\nheight: unset !important;\n}\n\n\n.description-container .image-info-container .image-container img {\nheight: unset !important;\n}\n\n\n.description-container .information-list-container .info-container {\nwidth: unset !important;\n}\n\n\n}\n\n\n.description-container section {\n  margin-bottom: 50px;\n}\n\n\n.hero-container,\n.content-right,\n.content-left {\n  display: flex;\n  align-items: center;\n  justify-content: center;\n}\n\n\n.hero-container {\n  position: relative;\n}\n\n\n.hero-container svg {\n  position: absolute;\n  width: 300px;\n  left: 0;\n  top: 0;\nz-index: -1;\n}\n\n\n.hero-container .info-container {\n  text-align: left;\n  margin: 0 60px;\n  width: 376px;\n}\n\n\n.hero-container .info-container h2 {\n  width: 100%;\n  margin-bottom: 30px;\n}\n\n\n.hero-container h4 {\n  font-size: 20px;\n  margin-top: 0;\n  margin-bottom: 30px;\n}\n\n\n.hero-container p {\n  font-size: 16px;\n  line-height: 20px;\n}\n\n\n.hero-container img,\n.graphic-container img {\n  max-height: 600px;\n  width: 100%;\n}\n\n\n.content-left {\n  flex-direction: row-reverse;\n}\n\n\n.video-container video {\n  height: 540px;\n  object-fit: cover;\n  width: 100%;\n}\n\n\n.image-info-container {\n  background-color: #f6d503;\n  height: 380px;\n  display: flex;\n  align-items: center;\n  justify-content: space-around;\n  padding: 50px;\n  overflow: hidden;\n}\n\n\n.image-info-container h2 {\n  color: #4b4b4b;\n}\n\n\n.image-info-container .image-container img {\n  margin-top: 280px;\n}\n\n\n.empty-spacing {\n  width: 100%;\n}\n\n\n.info-container {\n  display: flex;\n  width: 340px;\n  text-align: center;\n  color: #4b4b4b;\n  margin: 0 60px;\n  flex-direction: column;\n  align-items: center;\n}\n\n\n.info-container h2 {\n  width: 290px;\n  line-height: 42px;\n  margin-bottom: 10px;\n}\n\n\n.info-container p {\n  font-size: 20px;\n  line-height: 26px;\n  margin-bottom: 0;\n}\n\n\n.components-container {\n  display: flex;\n  text-align: center;\n  justify-content: space-between;\n  color: #3e4844;\n}\n\n\n.components-container .container {\n  width: 308px;\n}\n\n\n.components-container h2 {\n  font-size: 21px;\n}\n\n\n.components-container p {\n  line-height: 22px;\n}\n\n\n.image-brand img {\n  width: 300px;\n  margin-bottom: 20px;\n}\n\n\n.banner-container {\n  background-image: url(\"https:\/\/www.empoweredpc.com\/wp-content\/uploads\/2023\/12\/gaming-background-image.jpeg\");\n  background-position: center;\n  background-size: cover;\n  height: 344px;\n  text-align: center;\n  align-items: center;\n  display: flex;\n  flex-direction: column;\n  justify-content: center;\n  color: #fff;\n}\n\n\n.banner-container h2 {\n  color: #fff;\n  margin-bottom: 10px;\n}\n\n\n.banner-container p {\n  width: 456px;\n  font-size: 20px;\n  line-height: 24px;\n  letter-spacing: 0.5px;\n  font-weight: 300;\n  margin-bottom: 0;\n}\n\n\n.information-list-container {\n  display: flex;\n  justify-content: space-between;\n}\n\n\n.information-list-container .info-container {\n  display: flex;\n  width: 500px;\n  margin: 0 60px;\n  flex-direction: column;\n  text-align: left;\n  align-items: normal;\n}\n\n\n.information-list-container .info-container h2 {\n  width: 100%;\n}\n\n\n.information-list-container .info-container ul,\n.information-list-container .info-container p {\n  margin-left: 20px;\n  line-height: 20px;\n  margin-bottom: 0;\n  font-size: 16px;\n}\n\n\n.information-list-container .info-container ul li ul {\n  margin-left: 0;\n}\n\n\n\/* Media Query for screens less than 1370px wide *\/\n@media (max-width: 1370px) {\n  .components-container,\n.content-left,\n.content-right,\n  .information-list-container,\n  .image-info-container {\n    flex-direction: column;\n  }\n\n\n.description-container p {\nmax-width: 800px;\nmargin: 0 auto;\n}\n\n\n.hero-container {\nflex-direction: column-reverse;\n}\n\n\n.image-container img {\nmargin-bottom: 20px;\n}\n\n\n  .hero-container .info-container,\n  .info-container {\n    width: 100%;\n    margin: 0 15px;\ntext-align: center;\n  }\n\n\n.content-right,\n.content-left {\nmargin-bottom: 50px;\n}\n\n\n.information-list-container .info-container {\nmargin: 0 auto;\nmargin-bottom: 50px\n}\n\n\n.image-info-container .info-container h2 {\nwidth: 100%;\n}\n\n\n.information-list-container .info-container h2 {\ntext-align: center;\n}\n\n\n  .hero-container img,\n  .graphic-container img,\n  .video-container video,\n  .image-info-container .image-container img {\n    height: 400px; \/* Adjust image height for smaller screens *\/\n  }\n\n\n  .banner-container p,\n  .information-list-container .info-container p {\n    width: auto; \/* Adjust text width for smaller screens *\/\n  }\n\n\n.image-info-container {\nheight: 100%;\n}\n\n\n.image-info-container .image-container img {\nmargin-top: 0;\nheight: 400px;\nwidth: 100%;\n}\n\n\n  .components-container .container {\n    width: 100%; \/* Full width for each container in a flex row *\/\n    margin-bottom: 20px; \/* Add space between stacked elements *\/\n  }\n}\n\n\n@media (max-width: 767px) {\n.brz .brz-css-rShC1 \u003e .brz-bg \u003e .brz-bg-image {\nbackground-image: none;\nbackground-color: #000;\n}\n.information-list-container .info-container {\nwidth: auto;\n}\n}\n\u003c\/style\u003e\n\u003cdiv class=\"description-container\"\u003e\n\u003cdiv class=\"image-container\" style=\"text-align: start;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0905\/3126\/6858\/files\/MSI_XpertStation_WS300T60L_banner2_1600x968_0b53c70d-a992-44f0-8dd6-e8469e8b2f6d.jpg?v=1787930555\" alt=\"The MSI XpertStation WS300 NVIDIA GB300 DGX workstation offers superior airflow compared to the HP ZGX Fury AI Station.\" style=\"margin-bottom: 20px; float: none;\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"info-container\"\u003e\n\u003ch5 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h5\u003e\n\u003ch5 style=\"text-align: left;\"\u003ePowered by the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip and 748GB of large coherent memory, the MSI XpertStation WS300T60L on NVIDIA DGX Station™ architecture delivers data-center-class performance for AI training, inference, and simulation workloads, right from your deskside.\u003c\/h5\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"info-container\"\u003e\n\u003ch3 style=\"text-align: left;\"\u003e\u003cbr\u003e\u003c\/h3\u003e\n\u003ch3 style=\"text-align: left;\"\u003eOverview\u003c\/h3\u003e\n\u003cul class=\"overview__list\"\u003e\n\u003cli class=\"overview__list-item\"\u003eTower (NVIDIA DGX Station™)\u003c\/li\u003e\n\u003cli class=\"overview__list-item\"\u003eSingle NVIDIA Grace™ CPU Superchip with 72 Arm® Neoverse V2 cores\u003c\/li\u003e\n\u003cli class=\"overview__list-item\"\u003eSingle NVIDIA Blackwell Ultra GPU (RTX PRO 2000, 4000, 4500, 5000, or NVIDIA RTX Pro 6000 Max-Q)\u003c\/li\u003e\n\u003cli class=\"overview__list-item\"\u003e748 GB of Coherent Memory\u003c\/li\u003e\n\u003cli class=\"overview__list-item\"\u003eTwo 2280 PCIe 5.0 x4 NVMe M.2 ports (Filled with a 2TB RAID1, connected to the CPU)\u003c\/li\u003e\n\u003cli class=\"overview__list-item\"\u003eTwo 2280 PCIe 6.0 x4 NVMe M.2 ports (Open and available for expansion, connected to the CX8)\u003c\/li\u003e\n\u003cli class=\"overview__list-item\"\u003eUbuntu 24.04 LTS with Nvidia AI Developer Tools pre-installed\u003c\/li\u003e\n\u003cli class=\"overview__list-item\"\u003eThree PCIe 5.0 expansion slots\u003c\/li\u003e\n\u003cli class=\"overview__list-item\"\u003eTwo QSFP112 400G Ethernet ports from integrated NVIDIA ConnectX-8 SuperNIC\u003c\/li\u003e\n\u003cli class=\"overview__list-item\"\u003eOne 1000Base-T Dedicated Server Management Port with:\u003c\/li\u003e\n\u003cli class=\"overview__list-item\"\u003eASPEED AST2600 with IPMI 2.0 \u0026amp; DMTF Redfish Support\u003c\/li\u003e\n\u003cli class=\"overview__list-item\"\u003eHardware Root of Trust \u0026amp; TPM 2.0 Supported\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h3\u003e\n\u003ch3 style=\"text-align: center;\"\u003eWhat Sets MSI XpertStation WS300 Apart\u003c\/h3\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch4\u003eCompute-Dense Architecture\u003c\/h4\u003e\nThe NVIDIA DGX GB300 workstation combines high-performance NVIDIA Grace CPU and NVIDIA GB300 Blackwell Ultra GPU through the NVIDIA® NVLink® Chip-to-Chip (C2C) interconnect, delivering exceptional compute density and efficient system communication.\u003c\/div\u003e\n\u003cdiv class=\"info-container\"\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003eHigh-Speed Networking\u003c\/h4\u003e\nNVIDIA ConnectX®-8 SuperNIC™ in the NVIDIA DGX GB300 Station delivers up to 800Gb\/s of low-latency, high-bandwidth connectivity, enabling fast data transfer and scalable performance for large-scale AI workloads.\u003c\/div\u003e\n\u003cdiv class=\"info-container\"\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003eLarge Coherent Memory\u003c\/h4\u003e\nA 748GB coherent memory pool in the MSI WS300T60L GB300 DGX Station combines 252GB of high-speed HBM3e GPU memory and 496GB of LPDDR5X system memory through the C2C interconnect, enabling faster data access and efficient large-scale AI model training.\u003c\/div\u003e\n\u003cdiv class=\"info-container\"\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003eEnd-to-End AI Software Support\u003c\/h4\u003e\nThe NVIDIA DGX workstation AI Software Stack provides an end-to-end solution for AI workloads including fine-tuning, inference, and data science, enabling seamless development and deployment from desktop to data center.\u003c\/div\u003e\n\u003cdiv class=\"info-container\"\u003e\n\u003ch3\u003e\u003cbr\u003e\u003c\/h3\u003e\n\u003ch3\u003eAccelerating Every AI Workload\u003c\/h3\u003e\nThe MSI XpertStation WS300 with the GB300 superchip on NVIDIA DGX Station™ architecture\u003cspan data-sheets-root=\"1\"\u003e excels at agentic AI because it combines 748GB of coherent unified memory with 20 petaFLOPS of FP4 compute, allowing it to handle massive KV caches, multi-step reasoning, and hundreds of concurrent autonomous agents locally.\u003c\/span\u003e  It is perfect for Frontier LLM model development, data science, and autonomous AI agents with NVIDIA OpenShell.  Launch \u003cspan class=\"rQesXe MPyX\"\u003ehundreds of parallel AI agents\u003c\/span\u003e simultaneously without cloud serialization delays on large foundation models up to 1 trillion parameters using the MSI WS300 NVIDIA\u003cspan data-sheets-root=\"1\"\u003e GB300 DGX workstation.\u003c\/span\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"info-container\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003csection class=\"components-container\"\u003e\n\u003cdiv class=\"container\"\u003e\n\u003cdiv class=\"image-brand\" style=\"text-align: start;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0905\/3126\/6858\/files\/MSI_XpertStation_WS300T60L_AI_Dev_600x375_e64fefc5-e3ce-4f4f-b1de-9081c99d8159.jpg?v=1787837510\" width=\"600\" height=\"375\" alt=\"Run huge LLMs with hundreds of parallel AI agents on NVIDIA GB300 workstations like the MSI WS300 and Gigabyte W775-V10-L01.\" style=\"margin-bottom: 16px; float: none;\"\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003eAI Development\u003c\/h4\u003e\nWith the MSI WS300T60L NVIDIA GB300 station, accelerate deep learning and machine learning training for AI applications ranging from predictive maintenance and medical imaging analysis to natural language processing.\u003cbr\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"image-brand\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"container\"\u003e\n\u003cdiv class=\"image-brand\" style=\"text-align: start;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0905\/3126\/6858\/files\/MSI_XpertStation_WS300T60L_Data_Science_600x375_425e2cbc-d285-4757-b81e-ffdfc0d8af3b.jpg?v=1787837510\" alt=\"AI application development is turbocharged with NVIDIA DGX GB300 stations like the MSI WS300T60L and Dell Pro Max with GB300.\" style=\"margin-bottom: 16px; float: none;\"\u003e\u003c\/div\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003eData Science\u003c\/h4\u003e\nWith the MSI WS300T60L \u003cspan data-sheets-root=\"1\"\u003eNVIDIA DGX workstation, expedite\u003c\/span\u003e end-to-end data science workflows to enable faster data ingestion, analysis, and insight generation across massive datasets.\u003cbr\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"container\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"container\"\u003e\n\u003cdiv class=\"image-brand\" style=\"text-align: start;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0905\/3126\/6858\/files\/MSI_XpertStation_WS300T60L_AI_Inference_600x375_12cc8d87-9e32-40ad-95be-df8cb315c6b3.jpg?v=1787837510\" alt=\"Accelerate data science with NVIDIA Stations like the MSI WS300, ASUS Expertcenter Pro ET900N G3 and HP ZGX Fury AI Station.\" style=\"margin-bottom: 16px; float: none;\"\u003e\u003c\/div\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003eAI Inference\u003c\/h4\u003e\nThe MSI Xpertstation WS300 NVIDIA GB300 workstation accelerates LLM token generation by combining massive unified coherent memory with high-bandwidth NVLink-C2C and native FP4 tensor core acceleration.  See your local inference for large and complex AI models skyrocket with the MSI \u003cspan data-sheets-root=\"1\"\u003eNVIDIA DGX GB300 workstation\u003c\/span\u003e, delivering high-speed performance for LLM token generation, data analysis, content creation, and AI chatbots.\u003cbr\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"container\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"container\"\u003e\n\u003cdiv class=\"image-brand\" style=\"text-align: start;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0905\/3126\/6858\/files\/MSI_XpertStation_WS300T60L_Personal_Cloud_600x375_8131c694-8d29-4c2e-85d5-881c5883dce3.jpg?v=1787837510\" alt=\"Propel token generation with NVIDIA GB300 stations like the MSI WS300 and Supermicro Super AI Station ARS-511GD-NB-LCC-01-G2.\" style=\"margin-bottom: 16px; float: none;\"\u003e\u003c\/div\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003ePersonal Cloud\u003c\/h4\u003e\nWith the MSI XpertStation WS300 GB300 DGX Station™, run advanced AI models on local data and serve as a centralized compute node for team-based fine-tuning and on-demand deployment.\u003c\/div\u003e\n\u003cdiv class=\"container\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"content-right\"\u003e\n\u003cdiv class=\"image-container\" style=\"text-align: start;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0905\/3126\/6858\/files\/MSI_XpertStation_WS300T60L_open_angle_600x600_741c8d9e-bb31-4f43-820a-d57bec4f535f.jpg?v=1787837510\" alt=\"The NVIDIA GB300 workstations like the MSI WS300 and Exxact Valence NVIDIA DGX Station power team-based on-demand deployment.\" style=\"margin-bottom: 20px; float: none;\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"info-container\"\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003eMSI XpertStation WS300 \u003cspan data-sheets-root=\"1\"\u003eNVIDIA DGX GB300 workstation \u003c\/span\u003eFeatures:\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli style=\"text-align: left;\"\u003e245mm (9.6\") Wx 528.4mm (20.8\") Hx 595mm (23.4\") D\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003eup to one NVIDIA RTX PRO 6000 96GB Workstation - 600W\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003eCPU Memory Up to 496GB LPDDR5X | Up to 396GB\/s GPU Memory Up to 252GB HBM3e | 7.1TB\/s\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003eOne 10 GbE RJ45 port (Marvell AQC113) (2) 400 GbE QSFP ports (NVIDIA ConnectX®-8)\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003eTwo 2280 PCIe 5.0 x2 NVMe M.2 ports (from CPU) (2) 2280 PCIe 6.0 x4 NVMe M.2 ports (for training data)\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003eOne Double-Wide PCIe 5.0 x16 slot for display (2) Single-Wide PCIe 5.0 x16 slots (each with x8 signal only) (1) PCIe x1 2232 M.2 for WiFi\/Bluetooth card\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003eQualified BMC module from Aspeed AST2600 BMC\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e1600W 80 PLUS Titanium ATX PSU\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e","brand":"Empowered PC","offers":[{"title":"Default Title","offer_id":52413593354538,"sku":"DT-MS-0122-WEB","price":107999.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0905\/3126\/6858\/files\/DT-MS-0122_main.jpg?v=1787837003","url":"https:\/\/empoweredpc.com\/products\/msi-gb300-748gb-dgx-ai-workstation","provider":"Empowered PC","version":"1.0","type":"link"}