DX-M1
Ultra-Сompact M.2 AI Module
· 25 TOPS (INT8) AI Performance
· PCIe Gen3 x4 (Supports Gen 1/2/3 & x1/x2/x4)
· 4GB LPDDR5 (5600 MT/s)
· 1W (min) ~ 5W (max) Power Consumption
· Windows 11/10, Debian-based Linux, Yocto Project
· Ultralytics, PyTorch, TensorFlow, ONNX, Keras
· x86 and ARM
Qwen
Gemma
Phi
MiniCPM
DX-M1 AI Module
Application Scenarios
It is extensively utilized in many sectors such as facial recognition, robotics, access control gates, intelligent security systems, smart network cameras, and additional fields.
Edge Computing
Private Deployment of Large Models
Smart Commercial Display
Industrial Control Host
Smart Gateway
Automotive Electronics
Interfaces
Specifications
| DX-M1M AI Module | ||
|---|---|---|
| Basic Specifications | AI Performance | 25 TOPS (INT8) Perfomance |
| Host Interface | PCIe Gen3 x2 (Supports Gen 1/2/3 & x1/x2) | |
| Memory | Integrated 2GB LPDDR4x (4266 MT/s) | |
| Power Consumption | 3W (Typical) | |
| Operating Temperature | -40 ~ 85°C (Industrial) | |
| Thermal Solution | Heatsink (Option) | |
| Form Factor | M.2 2242 (M+B Key), 22 x 42mm | |
| OS Support | Debian-based Linux, Windows 11/10, Yocto Project | |
| AI Frameworks | Ultralytics, PyTorch, TensorFlow, ONNX, Keras | |
| System Support | x86 and ARM-based Architectures | |
Customization
The Kiwi Pi team, bringing over 18 years of expertise in product design, research and development, and manufacturing, offers services including hardware, software, complete machine customization, and ODM/OEM.