DFRobot DX-M1 AI Accelerator M.2 Module
DFRobot DX-M1 AI Accelerator M.2 Module delivers server-class edge computing power with 25 TOPS (INT8) of inference performance in a standard M.2 2280 form factor. The DX-M1 offers 4GB LPDDR5 memory and a PCIe Gen3 x4 interface, allowing low-latency processing and seamless compatibility with Raspberry Pi 5, LattePanda, and various x86/ARM platforms.
The DFRobot DX-M1 AI Accelerator M.2 Module is supported by the comprehensive DXNN® SDK for PyTorch, ONNX, and TensorFlow, making it an ideal solution for placing complex AI models in intelligent robotics, visual SLAM, and industrial automation systems.
Features
- AI accelerator
- M.2 M key (22mm x 80mm) form factor
- PCle Gen.3 x4 interface
- 4GB LPDDR5, QSPI 1Gbit NAND Flash
- Host HW: x86, ARM based architecture
Applications
- Robotics: visual SLAM and navigation
- Autonomous systems: drone perception and self-driving platforms
- Industrial: AI visual inspection and safety monitoring
- Edge computing: real-time video analytics and object detection
Specifications
- 25 TOPS (INT8) processor performance
- M.2 M-Key, PCI Express Gen3 x4 interface
- 4GB LPDDR5, 1Tbit QSPI NAND Flash
- 2W to 5W power consumption
- Framework support: PyTorch, ONNX, TensorFlow, TensorFlow Lite, Keras, XGBoost
- 3.3V±5% power range
- Windows 10/11, Ubuntu 20.04/22.04 LTS operating systems
- -25°C ~ +85°C (throttling); 25°C ~ 65°C (non_ throttling) operating temperature
- 22mm x 80mm x 4.1mm/0.87" x 3.15" x 0.16" product dimensions
Videos
Functional Block Diagram
Layout
Inilathala: 2026-05-06
| Na-update: 2026-05-06