Hailo-8 M.2 AI Accelerator Module, Based On The 26TOPS Hailo-8 AI Processor, Supports Linux/Windows Systems, Suitable For Raspberry Pi 5

Hailo-8 M.2 AI Accelerator Module, Based On The 26TOPS Hailo-8 AI Processor, Supports Linux/Windows Systems, Suitable For Raspberry Pi 5

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.

Datasheet

Features

• 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

Specifications

• AI PERFORMANCE: 26 TOPS
• FORM FACTOR: M.2 Key M
• POWER SUPPLY: 3.3V ± 5%
• POWER CONSUMPTION: 2.5W (Typ.) - 8.65W (Max.)
• INTERFACE: PCIe Gen3, 4-lane
• CERTIFICATE: CE, FCC Class A
• STORAGE TEMPERATURE: -40 ~ 85°C
• OPERATING TEMPERATURE: -40 ~ 85°C
• OPERATING HUMIDITY: 5% ~ 90%RH (no frosting)
• DIMENSIONS: 22×80mm with breakable extensions to 22×42mm and 22×60mm

Package Includes 

• 1x Hailo-8 M.2 AI Accelerator Module

Applied In The AI Field

Dimensions