The MSI EdgeXpert-101KUS AI Supercomputer redefines desktop AI computing, delivering petaflop-scale performance through the cutting-edge NVIDIA® GB10 Grace Blackwell Superchip—the same powerhouse at the core of NVIDIA DGXTM Spark. Purpose- built for developers, AI researchers, and data scientists, the EdgeXpert empowers local AI development with unmatched performance, scalability, and advanced features—all in a compact, desktop-ready form.
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| OPERATING SYSTEM | NVIDIA DGX™ OS |
|---|---|
| Product Condition | New |
| CPU | 20 core Arm, 10 Cortex-X925 + 10 Cortex-A725 Arm |
| Memory | 128 GB LPDDR5x, unified system memory Memory Bandwidth: 273 GB/s |
| Wireless LAN | WiFi 7 |
| Bluetooth | BT 5.3 |
| Audio | HDMI multichannel audio output |
| STORAGE | 4TB Gen5 NVME.M2 with self-encryption (per unit) |
| USB | 4 x USB 3.2 Type C |
|---|---|
| DisplayPort | 1 x HDMI 2.1a |
| Accessories | QSFP Cable x 1 |
| POWER CONNECTOR | 240W Power Adapter |
| BANDWIDTH | 273 GB/s |
| Dimensions | 5.95" x 5.95" x 2.05" / per unit |
| Weight | 2.65 lbs / per unit |
| GPU | NVIDIA® Blackwell Architecture |
|---|
| Interface | 256-bit |
|---|
The MSI EdgeXpert AI Supercomputer redefines desktop AI computing. Built on the NVIDIA GB10 Superchip, the same powerhouse at the core of NVIDIA DGX Spark, it is purpose-built for developers, AI researchers, and data scientists.GTC Berlin Run and scale models locally, then move the same work to the data centre or cloud with minimal code changes.
EdgeXpert is built on the NVIDIA GB10 Superchip, pairing a Blackwell GPU with a 20-core Arm CPU (10 Cortex-X925 and 10 Cortex-A725). Data preprocessing and orchestration are optimised, so you accelerate model tuning and run real-time inference more efficiently.
Tensor performance reaches 1000 AI TOPS (FP4, Sparse), equivalent to 1 petaFLOP, so complex AI workloads run at scale on your desk. You develop, test, and iterate at petaflop speed on local hardware, without booking time on shared cluster or public cloud resources.
64GB of LPDDR5x unified system memory runs on a 256-bit interface at 273 GB/s. NVLink-C2C connects CPU and GPU with up to five times the bandwidth of PCIe 5.0, giving you a seamless memory model and ultra-fast data access for rapid experimentation.
Run large language models with up to 100 billion parameters on your own hardware, including models from DeepSeek, Meta, and Google. Local execution supports data security, low latency, and cost control across prototyping, fine-tuning, and inference in a single on-premise workflow.
The integrated NVIDIA ConnectX-7 Smart NIC lets you connect four EdgeXpert systems to work with AI models up to 350 billion parameters. You add capacity when a project needs it, without moving your data or your workflow into a data centre.
Advanced thermal design supports stable operation through long-duration AI development, fine-tuning, and inference workloads. The compact chassis is engineered to manage sustained local compute performance at your desk, without requiring a rack-mounted system.
Measuring just 151 × 151 × 52 mm, EdgeXpert occupies 1.19 litres and weighs 1.2 kg. Its compact desktop form factor brings local AI development, fine-tuning, and inference capability to your workspace without taking over your desk.
Develop robotics, smart city, retail, and medical applications with NVIDIA frameworks including Isaac, Metropolis, Riva, and Holoscan. EdgeXpert suits data scientists and AI developers in enterprise, academic teams in classrooms and labs, and independent developers building and testing local AI assistants.
