MSI EdgeXpert MS-C931

Key features of the MSI EdgeXpert MS-C931 mini PC

Data centre performance in a miniature body

At the heart of the MSI EdgeXpert MS-C931 is the GB10 Grace Blackwell superchip – a unique combination of a 20-core ARM processor (10× Cortex-X925 + 10× Cortex-A725) and a Blackwell architecture GPU with 5th generation Tensor cores and 4th generation RT cores. Both parts of the superchip are connected by NVLink-C2C technology, which provides 5× the throughput of PCIe 5th generation and lets the CPU and GPU share a single 128GB pool of unified LPDDR5X memory. The result is tremendous performance that consumes a maximum of 240W and fits on any desk. This shared memory, without the traditional separation of GPU VRAM and system RAM, is the key advantage of the Gigabyte AI TOP ATOM over standard desktop builds. Where a GeForce RTX 5090 graphics card offers 32GB of memory, the MSI EdgeXpert MS-C931 provides four times that for AI models, without needing to quantise models or split them across multiple devices.

A personal supercomputer that fits on any desk

The MSI EdgeXpert MS-C931 proves that you don't need a server room or a rack full of hardware to run the largest AI models today. With dimensions of 150×150×50.5mm and a weight of 1.2kg, the MSI EdgeXpert MS-C931 fits on any desk next to a laptop – yet offers performance that, just a few years ago, would have required an entire server full of graphics cards. Four USB-C 4.0 ports with speeds up to 40Gb/s, Wi-Fi 7, 10Gb Ethernet and an HDMI output ensure you can connect all your accessories without needing an external hub or docking station. The MSI EdgeXpert MS-C931 is designed for developers, scientists, and AI professionals who want the full power of a local, personal AI supercomputer without relying on the cloud – right where they work.

NVIDIA AI software ecosystem and task management

The MSI EdgeXpert MS-C931 comes with pre-installed NVIDIA DGX OS – a specially optimised Linux distribution that includes the complete CUDA-X software stack, NVIDIA Container Toolkit, and Docker for an immediate start in developing and deploying AI models without tedious environment configuration. Access to the extensive NVIDIA NGC catalogue then provides pre-trained models, optimised containers, and ready-made reference applications that significantly shorten the time from first boot to a functional AI project.

Fine-tune AI models with up to 70 billion parameters

Use the 128GB of unified memory in the MSI EdgeXpert MS-C931 to fine-tune pre-trained models with up to 70 billion parameters right at your workstation. Training on your own data lets you specialise AI models for specific needs, industry data, or particular use cases – without sending sensitive data to the cloud or paying for expensive GPU instances. The result is a model tailored precisely to your scenario, created locally, securely, and under your full control.

MSI EdgeXpert MS-C931 delivers top-level data science

The combination of 128GB of unified memory and 1 PFLOP of performance in parallel throughput makes the MSI EdgeXpert MS-C931 the ideal workstation for demanding data analytics and machine learning projects. Extensive data sets, complex computational models, and demanding training and analysis processes that previously required a powerful cloud cluster or dedicated server can now run directly on your desk. Fast, local, and without waiting for remote infrastructure.

Inference of models with up to 200 billion parameters

5th generation Tensor cores with FP4 format support achieve performance of up to 1 PFLOP and, combined with 128GB of system memory, allow you to run inference on state-of-the-art AI models with up to 200 billion parameters right on your desktop. Test, verify, and deploy models like Llama, Gemma, or Qwen locally and in real time – with no cloud latency, no shared infrastructure, and no risk of sensitive data leaks.

Application development for robotics, industry, and smart cities

The MSI EdgeXpert MS-C931 is an exceptional platform for developing robotic systems, smart city solutions, and computer vision applications. Pre-installed NVIDIA Isaac frameworks for robotics, Metropolis for video analysis, and Holoscan for real-time data processing allow developers to fully leverage the MSI EdgeXpert MS-C931's performance to quickly prototype and deploy applications – locally, without dependence on cloud infrastructure, and with full support from the NVIDIA ecosystem.