MSI EDGEXPERT11S – EdgeXpert AI Supercomputer Desktop
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17,051.83 AED17,324.99 AED (-2%)
Key Features
- NVIDIA GB10 Grace Blackwell AI computing platform
- 128GB high-bandwidth LPDDR5X memory
- 4TB NVMe storage for large AI datasets
- 1000 TOPS AI performance in compact form factor
MSI EDGEXPERT11S – EdgeXpert AI Supercomputer Desktop
Overview
The MSI EDGEXPERT11S is an AI-focused desktop supercomputer built for developers, researchers, and enterprise AI workloads requiring high local compute density. It is powered by the NVIDIA GB10 Grace Blackwell platform combined with an ARM-based multi-core CPU architecture, designed to handle large-scale AI model training, inference, and data processing workloads locally. The system integrates 128GB of LPDDR5X memory and a 4TB NVMe SSD to support high-throughput datasets and model operations. Its compact desktop form factor is engineered for edge AI deployments, robotics development, and enterprise AI labs where low-latency compute is critical.
Typical Deployment Scenarios
- AI model training and inference workloads
- Machine learning development environments
- Robotics and autonomous system development
- Enterprise AI research labs
- Edge computing and smart systems
- High-performance data processing workloads
Technical Specifications
| Specification | Details |
|---|---|
| Brand | MSI |
| Part Number | EDGEXPERT11S |
| Product Type | AI Supercomputer Desktop |
| Processor | ARM Cortex X925 + ARM Cortex A725 |
| Chipset | NVIDIA GB10 Grace Blackwell |
| CPU Cores | Up to 20-core hybrid architecture |
| AI Performance | Up to 1000 TOPS |
| Memory Installed | 128 GB LPDDR5X |
| Memory Interface | 256-bit |
| Storage Installed | 4 TB NVMe SSD |
| Storage Interface | PCIe NVMe M.2 |
| Graphics | NVIDIA Blackwell Architecture GPU |
| Networking | 10GbE Ethernet |
| Wireless | Wi-Fi 7 (802.11be) |
| Bluetooth | Yes |
| USB Ports | 4 × USB-C |
| Video Output | HDMI 2.1 |
| Operating System | DGX OS (Linux-based) |
| Power Supply | 240 W |
| Form Factor | Compact Desktop |
Compatibility / Ecosystem
- NVIDIA AI and ML software stacks
- DGX OS development environment
- Containerized workloads (Docker, Kubernetes)
- Enterprise AI training pipelines
- Robotics and edge AI frameworks
- High-speed 10GbE networking environments
- Cloud-to-edge hybrid AI deployments
Additional information
| Weight | 1.2 kg |
|---|---|
| Dimensions | 15.1 × 15.1 × 5.2 cm |
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