EdgeXpert is designed from the ground up to build and run AI. Powered by the NVIDIA GB10 Grace Blackwell Superchip, it is a complete local AI platform for agents, multimodal inference, fine-tuning, data science, and edge development, bringing the power of NVIDIA Grace Blackwell to every desk.
Delivers a powerful SoC solution combining NVIDIA Blackwell GPU technology with 20-core Arm CPU, offering up to 1 petaflop of AI compute. The GB10 Superchip uses NVLink-C2C to deliver a CPU+GPU coherent memory model with 5x the bandwidth of PCIe Gen 5.
Features up to 128GB of coherent, unified LPDDR5x system memory. EdgeXpert enables users to run models up to 200B parameters locally. Coherent, unified memory lets multiple models and agents share one large pool for faster communication, lower latency, and rich long-running context.
Runs DGX OS, built on Ubuntu Linux, and comes preconfigured with the full NVIDIA AI software stack. Developers can hit the ground running with popular tools including PyTorch, Jupyter, and Ollama to prototype, fine-tune, and run inference locally, using the latest AI models on release day.
Equipped with a ConnectX-7 NIC, the EdgeXpert provides up to
200GbE. High-performance NVIDIA ConnectX networking enables the connection of up to four EdgeXpert systems to work with AI models of up to 700 billion parameters.
With built-in ConnectX-7 networking, up to four systems can be clustered to provide a large memory pool and up to 4 petaFLOPS of FP4 AI compute for larger models and more complex agents.
Deploy Out of the Box
128GB Memory
1 petaFLOP FP4 Compute
Scale When You Need More
256GB Memory
2 petaFLOPs FP4 Compute
Enterprise-Grade Power
512GB Memory
4 petaFLOPs FP4 Compute
Built to withstand intense operational heat, EdgeXpert combines a patented FanDock design, high-efficiency SSD Vapor Chamber cooling, and higher footpads optimized for stacked deployments. Experience sustained speed, mission-critical reliability, and extended system lifespan.
Because AI agents run 24/7, thermal design determines whether peak performance is also sustained performance. EdgeXpert pairs a dedicated SSD Vapor Chamber, patented FanDock airflow technology, and elevated stacking footpads to stay rock-solid above 200W—yielding 10% faster token throughput and running up to 15°C cooler under heavy load.
Directs cool air across the vapor chamber, sustaining over 200W of system power without downclocking. The result: approximately 10% faster GPT-OSS 120B inference than the reference design.
Uses a copper-nickel plated vapor chamber to lower drive temperatures by 9°C, preventing storage throttling and preserving peak read/write throughput during continuous 24/7 inference.
High-clearance footpads create an open airflow channel between stacked units, reducing rear chassis temperatures by up to 15°C and top surface heat by 9.1°C for silent, multi-unit deployments
Keep your AI models, prompts, sensitive corporate data, and 24/7 inference strictly on-device. MSI EdgeXpert delivers full enterprise compute power behind your firewall—eliminating recurring per-token cloud API fees, network latency, and data leakage risks for completely private, autonomous agent execution.
NVIDIA GB10 Grace Blackwell Superchip and the NVIDIA AI software stack, provides a full-stack solution for AI development and deployment. Its compact design facilitates seamless integration and deployment, enabling powerful AI performance for innovators who demand excellence.
Qwen3.8 27B
Gemma 4 26B-A4B
Nemotron 3.5 Lighning
DeepSeek V4 Flash 0731 284B
GPT-OSS 120BNemotron 3 Super 120B
Delivering the power of Grace Blackwell in a desktop-friendly size, MSI EdgeXpert is ideal for AI developer, researcher, and data scientist workloads—accelerating edge applications across medical, retail, and smart city environments.
AI developers can fine tune AI model or AI inference application in local. High-performance data science at your desk.
Train locally in classroom labs and scale up on school server infrastructure.
Enables clinicians and researchers to run AI models locally for diagnostics, genomics, and drug discovery.
Fine-tuning edge AI vision transformers for real-time robotic factory monitoring and alerts on NVIDIA Jetson.
Drive real-time video analytics and automated checkout with local data processing.
Uses NVIDIA's Metropolis and Isaac frameworks to power edge AI for smart cities, running real-time computer vision locally.
Enterprise AI for Legal and IP Governance
Operational AI for the Factory Floor: Memorence Operagents
Secure, Real Time, and Fully Offline Communication
Keeps sensitive data fully within the enterprise perimeter
MSI is introducing the EdgeXpert 64GB configuration—built on the NVIDIA DGX Spark platform.
Modern agentic AI requires a shift from monolithic model deployment to a "System of Models" architecture.
Transforming Edge Hardware into "Enterprise Infrastructure"
The MSI EdgeXpert is a desktop AI supercomputer built on the NVIDIA GB10 / Grace Blackwell architecture.
MSI EdgeXpert is a desktop AI supercomputer built on the NVIDIA DGX Spark platform, powered by the NVIDIA GB10 Grace Blackwell Superchip. It delivers up to 1,000 AI TOPS (FP4) of performance in a compact 151 x 151 x 52 mm chassis weighing 1.2 kg, letting developers run large AI models locally instead of in the cloud.
It's designed for prototyping, fine-tuning, and running large language models (LLMs) locally, with applications spanning robotics, smart city vision systems, healthcare diagnostics, genomics, education, and finance. Its full NVIDIA AI software stack supports frameworks like Isaac, Metropolis, and Holoscan for edge AI development.
EdgeXpert is available with 64 GB or 128 GB of LPDDR5x coherent unified system memory, shared between the CPU and GPU via NVLink-C2C on a 256-bit interface delivering 273 GB/s of bandwidth. This unified design lets a single unit run models with up to 200 billion parameters (128 GB configuration).
Yes. Up to four EdgeXpert units can be stacked and clustered via high-performance NVIDIA ConnectX networking to work with AI models of up to 700 billion parameters. This makes it possible to scale capacity for larger models without moving workloads to a data center or the cloud.
It ships with 1, 2TB, or up to 4TB, of self-encrypting NVMe M.2 storage, depending on configuration. The self-encryption adds a layer of data security for on-premise AI workloads handling sensitive data.
It runs NVIDIA DGX OS, an Ubuntu Linux-based operating system built on Arm64, with the NVIDIA AI software stack pre-installed.
It includes a 10GbE RJ-45 port, an NVIDIA ConnectX-7 Smart NIC, Wi-Fi 7, Bluetooth 5.3, and 4x USB Type-C ports (up to 40 Gb/s). This combination supports both high-speed networking for multi-unit setups and standard peripheral connections.
Unlike a conventional PC, it uses unified CPU-GPU memory (rather than separate system RAM and GPU VRAM) and Arm-based silicon purpose-built for AI inference and fine-tuning rather than general computing or gaming. It's best understood as a developer appliance for local AI model development, not a general-purpose mini PC.
