【Overview】

[] Hailo-8 AI Kit

[] Equipped With 26TOPS Hailo-8 M.2 AI Accelerator Module

【Version Options】

【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 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】

【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.

【Hailo-8 Performance Parameters】

【Connecting To PI5 Via 16PIN Cable】
[] Based On 16PIN PCIe Interface Of Raspberry Pi 5

【Tailored For Raspberry Pi 5】
[] Standard Raspberry Pi 40PIN Header, Comes With 2*20 Pin Header For Stacking With Other HATs. Compact Size, More Space-Saving, Supports Installing Cooling Fan

【Reserved Airflow Vent For Cooling Fan】
[] Can Be Used Together With The Pi5 Active Cooler B To Achieve Better Heat Dissipation Effect For The Pi5 And AI Accelerator Module, Keeping It Cool Even Under Heavy Processing And Maximizing The Module Performance

【Onboard Power Monitoring Chip And EEPROM】
[] Real-Time Monitoring Of Device Power Status For More Stable Operation

【How To Install】

* for reference only, the cooling fan is NOT included.
【Applied In The AI Field】

【Outline Dimensions】

[] Hailo-8-Acce-A

To：

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