User-friendly Hailo-8 M.2 Ai Accelerator Module Suitable For Raspberry Pi 5 Kit [GFwMb78p]

• Hailo-8 AI M.2 module
  • Powered by 26 Tera-Operations Per Second (TOPS) Hailo-8 AI Processor
  • 2.5W typical power consumption
  • Scalable, enabling simultaneous processing of multi-streams & multi-models
  • Enabling real-time, low latency and high-efficiency AI inferencing on the edge devices
  • Supports TensorFlow, TensorFlow Lite, ONNX, Keras, Pytorch frameworks
  • Supports Linux and Windows
  • Supports the temperature range of -40°C to 85°C
• PCIe To M.2 adapter
  • Onboard power monitoring chip and EEPROM, supports real-time monitoring of device power status for more stable operation
  • Raspberry Pi HAT+ compliant
  • Reserved airflow vent, supports installing cooling fan for better heat dissipation of the AI module to improve performance
  • Immersion gold process design, anti-oxidation and more durable

Hailo-8 AI M.2 Module Parameters

The Hailo-8 M.2 module is an AI accelerator module for AI applications, based on the 26 tera-operations per second (TOPS) Hailo-8 AI processor with high power efficiency. The M.2 AI accelerator features a full PCIe Gen-3.0 4-lane interface, delivering unprecedented AI performance for edge devices.

The M.2 module can be plugged into an existing edge device with M.2 socket to provide low-power deep neural network inferencing. Leveraging Hailo's comprehensive Dataflow Compiler and its support for standard AI frameworks, customers can easily port their Neural Network models to the Hailo-8 and introduce high-performance AI products to the market quickly.