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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.
What Sets XpertStation WS300 Apart
Compute-Dense Architecture
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.
High-Speed Networking
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.
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
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
- 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
Accelerate deep learning and machine learning training for AI applications ranging from predictive maintenance and medical imaging analysis to natural language processing.
Data Science
Accelerate end-to-end data science workflows to enable faster data ingestion, analysis, and insight generation across massive datasets.
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
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
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| 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 |
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MSI and NVIDIA : United in Driving AI Innovation
MSI stands alongside NVIDIA in the global launch of the AI-first NVIDIA DGX deskside supercomputers.
