MSI XpertStation WS300 for AI Development and On-Premises Deployment

The XpertStation WS300 is powered by the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip. To handle demanding AI workloads, the system offers up to 748 GB of coherent memory. This architecture allows larger foundation models to remain in memory, which minimizes data exchange between the CPU and GPU and increases overall inference performance.

For enterprises requiring additional scalability, the platform offers dual 400-GbE network connectivity via the NVIDIA ConnectX-8 SuperNIC. This connectivity enables the clustering of two XpertStation WS300 units to expand computing capacity.

On-Premises AI Development and Deployment

The system is designed for high-performance on-premises inference, multimodal AI, and the fine-tuning of large-scale models. As AI requirements increasingly shift toward continuous execution and autonomous, agent-based workloads, there is a growing trend toward on-premises infrastructure. Local deployment allows companies to reduce recurring costs for cloud inference and maintain stricter control over proprietary data and models.

Beyond model development, the XpertStation WS300 supports NVIDIA NemoClaw and the NVIDIA OpenShell runtime environment. This integration enables the operation of rule-based, autonomous AI agents in secure enterprise environments, thereby facilitating the transition from simple AI-assisted workflows to fully implemented agent-based AI systems.