Hailo-8 M.2 AI Accelerator Module 26TOPS Hailo8 Support Linux/Windows

Features At A Glance

• 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 processingof 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
• 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

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 to22×42mmand 22×60mm

Equipped with Hailo-8 AI Accelerator to Step Up Your Edge Product Performance

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.