MSI (re)launches $85,000 Nvidia DGX Station workstation with the Nvidia GB300 Ultra, a pair of 400GbE LAN ports, and 768GB of RAM
Data center class performance delivered directly to the desktop
· TechRadarNews By Efosa Udinmwen published 21 March 2026
Share this article 0 Join the conversation Follow us Add us as a preferred source on Google Newsletter
Get the TechRadar Newsletter
Sign up for breaking news, reviews, opinion, top tech deals, and more.
Contact me with news and offers from other Future brands Receive email from us on behalf of our trusted partners or sponsors
By submitting your information you agree to the Terms & Conditions and Privacy Policy and are aged 16 or over.
You are now subscribed
Your newsletter sign-up was successful
An account already exists for this email address, please log in. Subscribe to our newsletter
- XpertStation WS300 supports trillion-parameter models without relying on cloud infrastructure
- Dual 400GbE LAN ports enable high-speed distributed multi-node AI workloads
- Unified HBM3e GPU and LPDDR5X CPU memory maximizes bandwidth for AI
MSI has officially launched the XpertStation WS300, a deskside AI workstation based on Nvidia’s DGX Station architecture.
This system is designed to handle demanding large language models, generative AI, and advanced data science workloads.
The platform is powered by the Nvidia GB300 Grace Blackwell Ultra Desktop Superchip and supports up to 748GB of unified, large coherent memory.
Article continues below
Unified memory architecture for high-bandwidth AI processing
The XpertStation WS300 combines HBM3e GPU memory with LPDDR5X CPU memory for high-bandwidth data sharing.
This configuration allows local processing of trillion-parameter models and supports extensive AI workflows without relying on cloud infrastructure.
The workstation includes dual 400GbE LAN ports, which enable multi-node distributed computing with up to 800Gbps aggregate bandwidth.
MSI claims that the XpertStation WS300 delivers data center class performance directly to the desktop environment, with its setup intended to help organizations move from experimentation to production while maintaining consistent compute reliability.
Are you a pro? Subscribe to our newsletter
Sign up to the TechRadar Pro newsletter to get all the top news, opinion, features and guidance your business needs to succeed!
Contact me with news and offers from other Future brandsReceive email from us on behalf of our trusted partners or sponsors