DEEPX DX-M1 M.2 LPDD5Rx2
DX-M1 M.2 LPDD5Rx2 - Module brings server-grade AI inference directly to edge devices
The DEEPX DX-M1 M.2 module brings server-grade AI inference directly to edge devices. Delivering 25 TOPS of performance at just 2-5W, the module achieves 20x better performance efficiency (FPS/W) than GPGPUs while maintaining GPU-level AI accuracy.
Features
- AI Accelerator
- M.2 M Key (22 x 80 mm)
- PCle Gen.3 x4
- 4GB LPDDR5, QSPI 1Gbit NAND Flash
- x86, ARM Based Architecture
Applications
- Edge Cameras Systems
- Smart Mobility
- Smart Factory
- Smart Cities
- Robotics
- Drones
- Edge Computing
- Smart Homes
- Smart Retail
Block diagram
| Feature | AI Accelerator | Details |
|---|---|---|
| Processor | INT8 Performance | 25 TOPS (=200 eTOPS / INT8) |
| Signal Interface | PCI Express |
PCle Gen.3 x4 / Bandwidth: 4GB/s *Compatible to PCIE x1 |
| Power | Power Consumption | 2W min., 5W max. for DEEPX supported models |
| Operating | Temperature |
-25 ~ 85°C (Throttling) -25 ~ 65°C (Non_Throttling) |
| Environment | Humidity | 40 °C @ 85% relative humidity (non-condensing) |
| Thermal Solution | Cooling | Heatsink (Option) |
| Physical |
Form Factor Dimensions Power Range |
M.2 2280 (Key M) 22mm x 80mm x 4.1mm 3.3V ± 5% |
| Software Support |
Windows Linux Framework |
Windows 11, 10 64 bit Ubuntu 22.04, 20.04 LTS Support TensorFlow, TensorFlow Lite, ONNX, Keras, PyTorch by Dataflow compiler converted |
| System Support | CPU Platform | x86, ARM Based Architecture |
Related Link |
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