MSI XpertStation WS300

Key features of the MSI XpertStation WS300 workstation

GB300 Grace Blackwell Ultra superchip and 748GB of coherent memory

At the heart of the MSI XpertStation WS300 is the NVIDIA GB300 Grace Blackwell Ultra superchip – a unique combination of a Blackwell Ultra GPU with 252GB of HBM3e memory and 7.1TB/s throughput, and a 72-core Grace Neoverse V2 ARM processor with 496GB of LPDDR5X and 396GB/s throughput. Both parts of the superchip are connected by NVLink-C2C technology with 900GB/s bandwidth, which eliminates the traditional bottleneck between CPU and GPU memory and creates a single 748GB coherent memory space. The result is 20 petaFLOPS of FP4 performance and 330 TOPS of Int8 performance – right where an entire server room floor was once needed.

NVIDIA MIG and ConnectX-8 for team AI performance in a single device

The MSI XpertStation WS300 is not just a personal supercomputer, but a powerful local compute node for your entire AI team. NVIDIA MIG technology allows you to partition the GPU into up to seven fully isolated instances, each with its own dedicated memory, compute cores, and network connection, for multiple researchers to work simultaneously without affecting each other. Connecting two stations via an NVIDIA ConnectX-8 SuperNIC with up to 800Gb/s bandwidth then doubles the performance to over 40 petaFLOPS and over 1.4TB of coherent memory for working with the largest available models – without needing to build an expensive server cluster.

Limitless prototyping and development of AI applications

The complete NVIDIA AI software stack, combined with NVIDIA OpenShell, provides developers with a full-featured platform for creating AI models, AI agents, and AI-augmented applications – all locally, without cloud dependency. The NVIDIA DGX OS comes preconfigured with CUDA-X libraries, Container Toolkit, Docker, and NVIDIA AI Enterprise for an immediate start to development. Once a solution is ready for production deployment, the XpertStation WS300 enables direct and seamless migration of workloads to the NVIDIA DGX Cloud or other NVIDIA-accelerated infrastructure – using the same tools, libraries, and pre-trained models.

Fine-tune AI models with billions of parameters right at your workstation

Use the MSI XpertStation WS300 to fine-tune pre-trained models with billions of parameters right at your workstation. Training on your own data enables you to specialise AI models for specific industry data or use cases – without having to send sensitive data to the cloud or pay for expensive GPU instances. The NemoClaw platform then ensures secure and isolated operation of autonomous AI agents with full governance control. The result is a model precisely tailored to your scenario, created locally, securely, and under your complete control.

The XpertStation WS300 facilitates top-tier data science

The combination of 748GB of coherent memory and 20 petaFLOPS of performance makes the MSI XpertStation WS300 the ideal workstation for demanding data analytics and machine learning projects. Extensive datasets, complex computational models, and demanding training processes that previously required a powerful cloud cluster or dedicated server can now run right on your desk. Four M.2 NVMe slots – two PCIe 5.0 x2 and two PCIe 6.0 x4 for training data – two 400Gb/s QSFP network interfaces, and three PCIe 5.0 x16 slots ensure data throughput worthy of a research infrastructure – fast, local, and without waiting for remote infrastructure.

Inference for models with up to 1 trillion parameters

The Blackwell Ultra architecture's Tensor Cores, with FP4 format support, achieve up to 20 petaFLOPS of performance. Combined with 748GB of coherent memory, this lets you run inference for the largest available AI models with up to 1 trillion parameters, right at your desk. Test, validate and deploy models locally and in real time – with no cloud latency, no shared infrastructure and no risk of sensitive data leaks. NVIDIA NIM microservices then enable the rapid deployment of optimised models as containers for production inference.