- Brand: MSI
- Model: XpertStation WS300T60L
- MPN: CT60-S8060
- Tower (NVIDIA DGX Station™)
- Single NVIDIA Grace™ CPU Superchip with 72 Arm® Neoverse V2 cores
- Single NVIDIA Blackwell Ultra GPU
- 748 GB of Coherent Memory
- (2) 2280/22110 PCIe 5.0 x4 NVMe M.2 ports
- (2) 2280/22110 PCIe 6.0 x4 NVMe M.2 ports
- Max (3) PCIe 5.0 expansion slots, supporting up to (1) RTX PRO 6000 Blackwell Workstation or RTX PRO 6000 Blackwell Max-Q Workstation or RTX PRO 4000 Blackwell or RTX PRO 2000 Blackwell PCIe GPU card
- (2) 400G QSFP112 ports with NVIDIA ConnectX-8 SuperNICs
- (1) 1000Base-T Dedicated Server Management Port with:
- ASPEED AST2600 with IPMI 2.0 & DMTF Redfish Support
- Hardware Root of Trust & TPM 2.0 Supported
- AI Development
- Data Science
- AI Inference
- Personal Cloud
- Dispatch after 11-05-2026
- Tower (NVIDIA DGX Station™)
- Single NVIDIA Grace™ CPU Superchip with 72 Arm® Neoverse V2 cores
- Single NVIDIA Blackwell Ultra GPU
- 748 GB of Coherent Memory
- (2) 2280/22110 PCIe 5.0 x4 NVMe M.2 ports
- (2) 2280/22110 PCIe 6.0 x4 NVMe M.2 ports
- Max (3) PCIe 5.0 expansion slots, supporting up to (1) RTX PRO 6000 Blackwell Workstation or RTX PRO 6000 Blackwell Max-Q Workstation or RTX PRO 4000 Blackwell or RTX PRO 2000 Blackwell PCIe GPU card
- (2) 400G QSFP112 ports with NVIDIA ConnectX-8 SuperNICs
- (1) 1000Base-T Dedicated Server Management Port with:
- ASPEED AST2600 with IPMI 2.0 & DMTF Redfish Support
- Hardware Root of Trust & TPM 2.0 Supported
- AI Development
- Data Science
- AI Inference
- Personal Cloud
- Dispatch after 11-05-2026
Ask a Question About This Product
MSI XpertStation WS300T60L
Desktop Superchip Power for AI Training, Inference, and Data Science
Data-center-class AI performance from the desktop.
The MSI XpertStation WS300T60L is built on NVIDIA DGX Station architecture and is powered by the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip. MSI says it combines a single NVIDIA Grace CPU Superchip with 72 Arm Neoverse V2 cores, a single NVIDIA Blackwell Ultra GPU, and 748 GB of coherent memory to accelerate AI development, data science, inference, simulation workloads, and personal cloud use from a deskside workstation.
NVIDIA DGX Station Architecture
Grace Blackwell Ultra Meets Large Coherent Memory
MSI highlights the WS300 as a workstation designed for advanced AI workloads. The official landing page says the GB300 Grace Blackwell Ultra Desktop Superchip uses NVIDIA NVLink Chip-to-Chip interconnect to connect the Grace CPU and Blackwell Ultra GPU, while a 748 GB coherent memory pool combines 252 GB of HBM3e GPU memory and 496 GB of LPDDR5X system memory for faster large-model development and data access.
Compute-Dense AI Workstation
MSI says the WS300 uses a single NVIDIA Grace CPU Superchip and a single NVIDIA Blackwell Ultra GPU to deliver deskside AI performance. The system is positioned for AI training, AI inference, data science, and simulation-focused workflows.
748 GB Coherent Memory
252 GB HBM3e + 496 GB LPDDR5X
MSI says the large coherent memory design helps accelerate large-scale AI model development by giving the CPU and GPU access to a combined memory pool through the C2C interconnect.
748 GB
Coherent Memory
72 Cores
Grace CPU
High-Speed Networking
ConnectX-8 SuperNIC and 400G QSFP112 Ports
The MSI landing page says the WS300 includes NVIDIA ConnectX-8 SuperNIC technology for high-bandwidth, low-latency networking. The enterprise specification page lists two 400G QSFP112 ports, making the system more suitable for large-scale AI data movement and advanced deployment environments.
Enterprise-Class Expansion and Manageability
Storage, PCIe expansion, and BMC support
MSI lists two PCIe 5.0 x4 NVMe M.2 ports, two PCIe 6.0 x4 NVMe M.2 ports, up to three PCIe 5.0 expansion slots, a dedicated server management port, ASPEED AST2600 BMC with IPMI 2.0 and DMTF Redfish support, and TPM 2.0 support.
Built for Serious AI Workloads
AI Development, Data Science, Inference, and Personal Cloud
MSI specifically positions the WS300 for AI development, data science, AI inference, and personal cloud usage. The landing page also describes it as suitable for local LLM token generation, content creation, chatbot workloads, model fine-tuning, and centralized team compute.
AI Development
Designed for deep learning, machine learning, and model development at deskside scale.Data Science
Suitable for faster ingestion, analysis, and insight generation across large datasets.AI Inference
Built for large-model local inference, token generation, analysis, and AI assistant workloads.
System Highlights
Key Hardware Overview
MSI lists the WS300 with tower form factor, one 10 GbE RJ45 port, two 400 GbE QSFP ports, up to 496 GB LPDDR5X CPU memory, up to 252 GB HBM3e GPU memory, a double-wide PCIe 5.0 x16 slot for display, two single-wide PCIe 5.0 x16 slots with x8 signaling, a Wi-Fi/Bluetooth M.2 slot, and a 1600W 80 PLUS Titanium ATX PSU.
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Chassis
Tower design intended for deskside deployment with data-center-inspired AI hardware.
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Memory
748 GB coherent memory pool combines CPU and GPU memory resources.
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Connectivity
Includes ultra-high-speed networking, NVMe storage support, and enterprise management features.
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