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.
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NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip combines high-performance NVIDIA Grace CPU and NVIDIA Blackwell Ultra GPU through the NVIDIA® NVLink® Chip-to-Chip (C2C) interconnect, delivering exceptional compute density and efficient system communication.
NVIDIA ConnectX®-8 SuperNIC™ delivers up to 800Gb/s of low-latency, high-bandwidth connectivity, enabling fast data transfer and scalable performance for large-scale AI workloads.
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.
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.
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.
Accelerate deep learning and machine learning training for AI applications ranging from predictive maintenance and medical imaging analysis to natural language processing.
Accelerate end-to-end data science workflows to enable faster data ingestion, analysis, and insight generation across massive datasets.
Accelerate local inference for large and complex AI models, delivering high-speed performance for LLM token generation, data analysis, content creation, and AI chatbots.
Run advanced AI models on local data and serve as a centralized compute node for team-based fine-tuning and on-demand deployment.
MSI stands alongside NVIDIA in the global launch of the AI-first NVIDIA DGX deskside supercomputers. Read NVIDIA’s official announcement.
