MSI EdgeXpert MS-C931 AI Supercomputer (NVIDIA GB10 Blackwell)
The MSI EdgeXpert MS-C931 is a compact yet extremely powerful
AI Supercomputer designed for AI developers, data scientists, research labs,
and enterprise edge deployments. Powered by the revolutionary
NVIDIA GB10 Grace Blackwell Superchip, it delivers up to
1 PetaFLOP (FP4) AI performance in a desktop-sized form factor.
With 128GB LPDDR5x unified memory and a
4TB NVMe SSD, the MS-C931 enables local training and inference
for large AI models, including large language models (LLMs),
without relying on cloud infrastructure.
Key Features
- NVIDIA GB10 Grace Blackwell Superchip for next-generation AI computing
- Up to 1 PetaFLOP FP4 AI performance for deep learning & inference
- 128GB LPDDR5x Unified Memory for handling large AI datasets
- 4TB NVMe M.2 SSD with self-encryption support
- NVIDIA DGXâ„¢ OS pre-installed for optimized AI workflows
- 10GbE LAN + NVIDIA ConnectX-7 Smart NIC
- Wi-Fi 7 & Bluetooth 5.4 for high-speed wireless connectivity
- Ultra-compact 1.19L chassis ideal for desk or edge deployment
Built for Advanced AI Workloads
The EdgeXpert MS-C931 is purpose-built for demanding AI workloads such as:
- Large Language Model (LLM) training and inference
- Computer vision and image recognition
- AI-powered analytics and simulations
- Edge AI deployments in enterprise environments
With support for models up to 200B parameters locally and scalability
up to 405B parameters using dual-system connectivity,
this system bridges the gap between cloud AI and on-premise computing.
📊 Technical Specifications
| Model | MSI EdgeXpert MS-C931 |
|---|---|
| Processor | NVIDIA GB10 Grace Blackwell Superchip (20-core ARM CPU) |
| AI Performance | Up to 1 PetaFLOP (FP4, Sparse) |
| Memory | 128GB LPDDR5x Unified Memory |
| Storage | 4TB NVMe M.2 SSD (Self-Encrypting) |
| GPU Architecture | NVIDIA Blackwell |
| Networking | 10GbE RJ-45, NVIDIA ConnectX-7 Smart NIC |
| Wireless | Wi-Fi 7, Bluetooth 5.4 |
| USB Ports | 4 × USB 3.2 Type-C |
| Display Output | 1 × HDMI 2.1a |
| Operating System | NVIDIA DGXâ„¢ OS (Pre-Installed) |
| Dimensions | 151 × 151 × 52 mm |
| Weight | Approx. 1.2 kg |
| Power Input | USB-C (Approx. 240W with external adapter) |
Ideal For
- AI Developers & Machine Learning Engineers
- Data Scientists & Research Institutions
- Enterprise AI & Edge Computing Deployments
- Universities, Labs & Innovation Centers
Frequently Asked Questions
Q: Is this system suitable for running LLMs locally?
A: Yes, the MS-C931 supports large language models up to 200B parameters locally and up to 405B parameters when connected with another system.
Q: Does it come ready to use?
A: Yes, it comes pre-installed with NVIDIA DGXâ„¢ OS, optimized for AI development.
Q: How is this different from a normal mini PC?
A: Unlike standard mini PCs, the MS-C931 is a true AI supercomputer with unified memory, Blackwell GPU architecture, and enterprise-grade AI performance.
Q: Can it be used in enterprise environments?
A: Absolutely. It is designed for continuous workloads, edge AI deployments, and professional environments.
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