DX-M1

DEEPX M.2 AI Accelerator

DEEPX M.2 AI Accelerator delivers 25 TOPS for efficient edge AI inference at 2-5W, outperforming GPUs.

  • High 25 TOPS INT8 AI performance (200 eTOPS)
  • Ultra-low power consumption of just 2W–5W
  • M.2 2280 form factor with PCIe Gen3 x4 interface
  • Onboard 4GB LPDDR5 memory and 1Gb NAND Flash
  • Supports TensorFlow, PyTorch, ONNX via DXNN® SDK
  • Wide operating temperature: -25°C to 85°C
  • Compatible with x86 and ARM-based host systems
  • Ideal for edge cameras, robotics, drones, and smart factories
Processor INT8 Performance 25 TOPS (=200 eTOPS / INT8)
Signal Interface PCI Express PCIe 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 M.2 2280 (Key M)
Dimensions 22mm x 80mm x 4.1mm
Power Range 3.3V ± 5%
Software Support Windows Windows 11, 10 64 bit
Linux Ubuntu 22.04, 20.04 LTS
Support Yocto Project and Docker
Framework Support Support TensorFlow, TensorFlow Lite, ONNX, Keras, PyTorch by Dataflow compiler converted
System Support CPU Platform x86, ARM Based Architecture

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