NVIDIA® DGX Station™ Delivering Data-Center-Class Performance from the Desktop

Reddit r/LocalLLaMA Products

Summary

MSI's XpertStation WS300 on NVIDIA DGX Station architecture delivers data-center-class AI performance to the desktop with the GB300 Grace Blackwell Ultra superchip and 748GB coherent memory.

No content available
Original Article
View Cached Full Text

Cached at: 08/30/26, 08:09 PM

# NVIDIA® DGX Station™ Delivering Data-Center-Class Performance from the Desktop Source: [https://www.msi.com/Landing/NVIDIA-DGX-STATION](https://www.msi.com/Landing/NVIDIA-DGX-STATION) ## XpertStation WS300 on NVIDIA DGX Station™Architecture Powered by the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip and 748GB of large coherent memory, MSI’s XpertStation WS300 on NVIDIA DGX Station™architecture delivers data\-center\-class performance for AI training, inference, and simulation workloads, right from your deskside\. [Order Now](https://eps.msi.com/en/contact?utm_source=msi+official+site&utm_medium=event+page&utm_content=nvidia+dgx+station) ![XpertStation WS300 on NVIDIA DGX Station™ architecture](https://storage-asset.msi.com/event/2025/EPS/NVIDIA-DGX/images/kv-imgBg.jpg) ## What Sets XpertStation WS300 Apart ![Compute-Dense Architecture - icon](https://storage-asset.msi.com/event/2025/EPS/NVIDIA-DGX/images/apart-icon-compute-dense-architecture.png) ### Compute\-Dense Architecture NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip combines high\-performance NVIDIA Grace CPU and[NVIDIA Blackwell Ultra GPU](https://www.nvidia.com/en-us/data-center/technologies/blackwell-architecture/)through the[NVIDIA® NVLink® Chip\-to\-Chip \(C2C\)](https://www.nvidia.com/en-us/data-center/nvlink-c2c/)interconnect, delivering exceptional compute density and efficient system communication\. ![High-Speed Networking - icon](https://storage-asset.msi.com/event/2025/EPS/NVIDIA-DGX/images/apart-icon-high-speed-networking.png) ### High\-Speed Networking [NVIDIA ConnectX®\-8 SuperNIC™](https://www.nvidia.com/en-us/networking/products/ethernet/supernic/)delivers up to 800Gb/s of low\-latency, high\-bandwidth connectivity, enabling fast data transfer and scalable performance for large\-scale AI workloads\. ![Large Coherent Memory - icon](https://storage-asset.msi.com/event/2025/EPS/NVIDIA-DGX/images/apart-icon-large-coherent-memory.png) ### Large Coherent Memory A 748GB coherent memory pool 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\. ![End-to-End AI Software Support - icon](https://storage-asset.msi.com/event/2025/EPS/NVIDIA-DGX/images/apart-icon-end-to-end-ai-software-support.png) ### End\-to\-End AI Software Support The NVIDIA AI Software Stack provides a full\-stack solution for AI workloads including fine\-tuning, inference, and data science, enabling seamless development and deployment from desktop to data center\. ![XpertStation WS300](https://storage-asset.msi.com/event/2025/EPS/NVIDIA-DGX/images/pd-ct60-s8060.png) ### XpertStation WS300 - 245mm \(9\.6"\) Wx 528\.4mm \(20\.8"\) Hx 595mm \(23\.4"\) D - \(1\) NVIDIA Blackwell Ultra GPU - CPU Memory Up to 496GB LPDDR5X \| Up to 396GB/s GPU Memory Up to 252GB HBM3e \| 7\.1TB/s - \(1\) 10 GbE RJ45 port \(Marvell AQC113\) \(2\) 400 GbE QSFP ports \(NVIDIA ConnectX®\-8\) - \(2\) 2280 PCIe 5\.0 x2 NVMe M\.2 ports \(from CPU\) \(2\) 2280 PCIe 6\.0 x4 NVMe M\.2 ports \(for training data\) - \(1\) 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 - Qualified BMC module from Aspeed AST2600 BMC - 1600W 80 PLUS Titanium ATX PSU ## Accelerating Every AI Workload MSI’s XpertStation WS300 on NVIDIA DGX Station™ architecture brings data\-center\-class AI performance to the desktop, enabling model development, data science, and autonomous AI agents with NVIDIA OpenShell\. ![AI Development](https://storage-asset.msi.com/event/2025/EPS/NVIDIA-DGX/images/worloade-img-develop.jpg) ### AI Development Accelerate deep learning and machine learning training for AI applications ranging from predictive maintenance and medical imaging analysis to natural language processing\. ![Data Science](https://storage-asset.msi.com/event/2025/EPS/NVIDIA-DGX/images/worloade-img-science.jpg) ### Data Science Accelerate end\-to\-end data science workflows to enable faster data ingestion, analysis, and insight generation across massive datasets\. ![AI Inference](https://storage-asset.msi.com/event/2025/EPS/NVIDIA-DGX/images/worloade-img-inference.jpg) ### AI Inference Accelerate local inference for large and complex AI models, delivering high\-speed performance for LLM token generation, data analysis, content creation, and AI chatbots\. ![Personal Cloud](https://storage-asset.msi.com/event/2025/EPS/NVIDIA-DGX/images/worloade-img-cloud.jpg) ### Personal Cloud Run advanced AI models on local data and serve as a centralized compute node for team\-based fine\-tuning and on\-demand deployment\. ## MSI AI Systems EdgeXpert PRO Desk Series XpertStation WS300 NVIDIA Platform DGX Spark RTX PRO \(single GPU\) DGX Station Performance 1 PFLOP Up to 4 PFLOPS Up to 20 PFLOPS Memory 128GB Up to 96GB GPU: 252GB HBM3e CPU: 496GB LPDDR5X 748GB coherent memory Max Model Size \(Parameters\) Up to 200B Up to 153B Up to 1T GPU Interconnect N/A PCIe Gen 5 N/A Applications Prototyping Fin\-tuning Inference Edge applications AI engine AI inference AI development Data science AI inference Personal cloud ![MSI and NVIDIA : United in Driving AI Innovation](https://storage-asset.msi.com/event/2025/EPS/NVIDIA-DGX/images/innovation-img.png) ## MSI and NVIDIA : United in Driving AI Innovation MSI stands alongside NVIDIA in the global launch of the AI\-first NVIDIA DGX deskside supercomputers\. Read[NVIDIA’s official announcement\.](https://nvidianews.nvidia.com/news/nvidia-launches-ai-first-dgx-personal-computing-systems-with-global-computer-makers) ![NVIDIA Badge](https://storage-asset.msi.com/event/2025/EPS/NVIDIA-DGX/images/nvidia-badge.png) ## Available Now XpertStation WS300 on NVIDIA DGX Station™ architecture is now available\. [Order Now](https://eps.msi.com/en/contact?utm_source=msi+official+site&utm_medium=event+page&utm_content=nvidia+dgx+station)

Similar Articles

NVIDIA AI Supercomputer Comes Online at Naval Postgraduate School

NVIDIA Blog

NVIDIA founder Jensen Huang commissions a DGX GB300 AI supercomputer at the Naval Postgraduate School, providing on-premises large-scale AI computing for students and faculty to advance research in weather prediction, cybersecurity, and disaster response.