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
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
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.