Skip to main content

Radxa AICore AX-M1

Product Overview​

Radxa AICore AX-M1 is a high-performance M.2 acceleration module based on AXera's AX8850 SoC, featuring high computing power and energy efficiency, specifically designed for edge AI computing and inference applications.

Radxa AICore AX-M1 integrates a multi-core high-performance CPU and powerful NPU, delivering exceptional multimedia processing capabilities to provide efficient and flexible hardware support for various edge AI scenarios.

Key Features​

  • High-performance SoC Platform - Equipped with AX8850 SoC featuring octa-core Cortex-A55 processor up to 1.5GHz, delivering powerful general-purpose computing and multitasking capabilities.

  • Powerful AI Computing - Integrated high-performance NPU supporting up to 24 TOPS@INT8 neural network inference, meeting demanding AI model acceleration requirements.

  • Professional Multimedia Processing

    • Supports up to 8K@30fps video input and image processing for high-resolution video analysis
    • Features video processor supporting H.264/H.265 HD video codec for various streaming and intelligent video analysis scenarios

  • Hardware Compatibility - Supports multiple host platforms including Intel, AMD, and Rockchip.

  • OS Support - Compatible with various operating systems including Ubuntu, Debian, and CentOS.

  • Standard Interface - Adopts standard M.2 M Key 2280 form factor, compatible with mainstream industrial and embedded motherboards.

Product Appearance​

Radxa AICore AX-M1 Module (Front)

Radxa AICore AX-M1 Module (Back)

Specifications​

CategorySpecifications
CPUOcta-core Cortex-A55, up to 1.5GHz
Memory8GB LPDDR4x
NPU24TOPS@INT8; supports matrix operation unit and intelligent vision engine
VPUSupports H.264/H.265 8K@30fps codec and 16-channel 1080p@30fps decoding
CompatibilitySupports Intel, AMD, Rockchip and other host platforms
OS SupportCompatible with mainstream Linux distributions including Ubuntu, Debian, CentOS
Form FactorM.2 M Key
Dimensions22mm x 80mm
Operating Voltage3.3 V
Power Consumption≤ 8W

Applications​

  • Smart cameras
  • Autonomous driving
  • Consumer electronics
  • Security surveillance
  • Edge computing
  • Smart mobility