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
· -40 ~ 85°C Operating Temperature
· M.2 2280(M Key), 22 x 80mm
· Windows 11/10, Debian-based Linux, Yocto Project and Docker
· x86 and ARM-based Architectures
DX-M1 AI Module
DEEPX DX-M1 AI Module
Harness the complete capabilities of edge AI using the high-performance DEEPX DX-M1 acceleration module.
25 TOPS AI Computing Power
Powered by the DX-M1 chip, DeepX-M1 delivers 25 TOPS(INT8) of low-power local Al inference.
DX-M1 Acceleration Chip
Powered by the DEEPX DX-M1 AI acceleration chip, custom-built for localized edge computing scenarios.
Efficient INT8 Inference
Supports highly efficient INT8 neural network inference, achieving an optimal balance between performance and power consumption.
M.2 2280(M Key), 22 x 80mm
Utilizes a standard M.2 2280 form factor. The compact layout allows for rapid integration and streamlined product deployment.
Low-Power Edge Deployment
Engineered for low-power operation on edge devices, making it ideal for long-term, stable deployment.
ARM/ x86 Platform Compatibility
Runs seamlessly on ARM and x86 platforms, simplifying AI deployment across diverse systems
Visual Recognition & Object Detection
Perfectly suited for vision-based AI applications such as image recognition, object detection, and video analytics.
Industrial Vision & Robotics
Tailored for industrial vision, robotics, and smart gateways, driving the intelligent upgrade of edge devices.
High-Performance Acceleration AI Module
Designed for seamless integration into embedded and industrial systems, this compact AI module delivers up to 25 TOPS of AI performance while maintaining exceptional energy efficiency at just ~1-5W typical power consumption.
Application Scenarios
DeepX DX-M1 is suitable for a wide range of AI and edge computing applications, including robotics, private deployment of large language models (LLMs), edge AI computing, smart city infrastructure, smart home systems, and intelligent drone platforms.
Robotics
Private Deployment of Large Models
Edge Computing
Smart City
Smart Home
Drone
Product Display
Specifications
| DX-M1 AI Module | ||
|---|---|---|
| Basic Specifications | AI Performance | 25 TOPS (INT8) |
| Host Interface | PCIe Gen3 x4 (Supports Gen 1/2/3 & x1/x2/x4) | |
| Memory | 4GB LPDDR5 (5600 MT/s) | |
| Power Consumption | 1W (min) ~ 5W (max) | |
| Operating Temperature | -40 ~ 85°C | |
| Thermal Solution | Heatsink (Option) | |
| Form Factor | M.2 2280(M Key), 22 x 80mm | |
| OS Support | Windows 11/10 Debian-based Linux (Ubuntu 24.04/22.04/20.04 LTS) Yocto Project and Docker | |
| AI Frameworks | Ultralytics, TensorFlow, PyTorch, 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.