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DeepX DX-M1M M.2 AI Module
200 GPU-class TOPS
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DX-M1M AI Chip 25 TOPS 2GB LPDDR4x (4266 MT/s)
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Product Highlights:
- Performance：25 TOPS (INT8)
- Interface：PCIe Gen3 x2 (Supports Gen 1/2/3 & x1/x2)
- Memory: 2GB LPDDR4x (4266 MT/s)
- Power Consumption: 3W (Typical)
- Operating Temperature: -40 ~ 85°C
- Form Factor: M.2 2242 (M+B Key), 22 x 42mm
- OS Support: Windows 10/11, Linux (Ubuntu 24.04/22.04/20.04 LTS), Yocto Project, Docker
- AI Frameworks: Ultralytics, TensorFlow, PyTorch, ONNX, Keras
- System Support: x86, ARM Based Architecture
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DX-M1M M.2 Module
Key features
- AI Performance with 25 TOPS (INT8)
- PCIe Gen3 x2 (Supports Gen 1/2/3 & x1/x2)
- Integrated 2GB LPDDR4x (4266 MT/s)
- M.2 2242 (M+B Key), 22 x 42mm
The DEEPX DX-M1M M.2 AI Module offers a processing capacity of 25 TOPS while maintaining an ultralow power draw of approximately 3W (Typical). Emphasizing Inferences Per Second (IPS) per watt, each operation maximizes efficiency and practical utility. The DX-M1M seamlessly integrates with host systems, enabling accelerated performance in applications such as computer vision and audio processing.
We authored an article discussing the specifications and features of the DX-M1 M.2 and DX-M1M M.2.
Target Applications
- AI CCTV
- ADAS
- Industrial Robot Arms
- AI Dashcams
- Autonomous Mobile Robots (AMRs)
- Drones
- Edge Servers
- AIoT Devices
- Remote Patient Monitoring (RPM)
