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
DX-M1 AI Module
DEEPX M1 AI Module
Ultra-Compact M.2 Al Acceleration Module
Ultra-Low Power Efficiency
Designed for energy-efficient edge deployment with only 1-5Wpower consumption.
Easy Integration for Edge Systems
Ideal for PCle-capable SBCs, mini PCs, and embedded x86 / ARM platforms.
Optimized for Real-World Al
Accelerate vision AI workloads including detection, classification, tracking, and analytics.
Broad Software Support
Streamline deployment with a developer-friendly Al software stack
PCle Gen3 x4, M.2 2280
A compact M-Key module designed for quick integrationinto PCle-capable edge systems.
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.
Smart Camera
Robotics
Industrial-Inspection
Intelligent Transportation
Smart Retail
Automation
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.