DESCRIPTION
Hailo-8 M.2 AI Accelerator Module, Based On The 26TOPS Hailo-8 AI Processor, Supports Linux/Windows Systems, Optional For PCIe To M.2 Adapter Board, Suitable For Raspberry Pi 5
Hailo-8 AI Kit
Equipped With 26TOPS Hailo-8 M.2 AI Accelerator Module
This AI kit is launched by Waveshare to provide a more cost-effective and high-performance AI solution for the Raspberry Pi 5, optional for PCIe To M.2 adapter, suitable for applications such as process control, safety, home automation and robotics, etc.
Version Options
Hailo-8
the Hailo-8 AI M.2 module only
Hailo-8 Acce A
Hailo-8 M.2 module + PCIe TO M.2 adapter and accessories (can be directly accessed to Raspberry Pi 5)
Features At A Glance
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Hailo-8 AI M.2 module
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Powered by 26 Tera-Operations Per Second (TOPS) Hailo-8 AI Processor
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2.5W typical power consumption
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Scalable, enabling simultaneous processing of multi-streams & multi-models
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Enabling real-time, low latency and high-efficiency AI inferencing on the edge devices
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Supports TensorFlow, TensorFlow Lite, ONNX, Keras, Pytorch frameworks
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Supports Linux and Windows
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Supports the temperature range of -40°C to 85°C
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PCIe To M.2 adapter
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Onboard power monitoring chip and EEPROM, supports real-time monitoring of device power status for more stable operation
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Raspberry Pi HAT+ compliant
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Reserved airflow vent, supports installing cooling fan for better heat dissipation of the AI module to improve performance
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Immersion gold process design, anti-oxidation and more durable
Hailo-8 AI M.2 Module Parameters
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AI PERFORMANCE
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26 TOPS
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FORM FACTOR
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M.2 Key M
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POWER SUPPLY
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3.3V ± 5%
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POWER CONSUMPTION
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2.5W (Typ.)
8.65W (Max.)
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INTERFACE
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PCIe Gen3, 4-lane
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CERTIFICATE
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CE, FCC Class A
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STORAGE TEMPERATURE
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-40 ~ 85°C
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OPERATING TEMPERATURE
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-40 ~ 85°C
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OPERATING HUMIDITY
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5% ~ 90%RH (no frosting)
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DIMENSIONS
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22×80mm with breakable extensions to 22×42mm and 22×60mm
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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
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NN Model
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mAP
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Hailo-8L FPS
(batch8)
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yolov4_tiny
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18.98
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610
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yolov6n
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34.3
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345
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yolov7
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49.8
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45
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yolox_s_wide
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42.4
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75
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yolov3
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38
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26
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yolov8n
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37.23
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270
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yolov8s
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44.75
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128
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yolov8m
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50.08
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55
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Type
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NN Model
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Input Resolution
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FPS
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Power(W)
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FPS/W
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Classification
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ResNet-50 v1
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224×224
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1332
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3.45
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386
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MobileNet_v2_1.0
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224×224
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2444
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2.152
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1135
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EfficientNet_M
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240×240
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889
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3.5
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254
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Object Detection
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SSD_MobileNet_v1
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300×300
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1055
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2.2
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479
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YOLOv5m
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640×640
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218
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4.6
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47.3
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Segmentation
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stdc1
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1024×1920
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54
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2.9
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18.6
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Multi stream object detection (8 streams)
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YOLOv3
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608×608
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69
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4.9
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14
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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.
Resources & Services
Wiki: www.waveshare.com/wiki/Hailo-8
PACKAGE CONTENT
Weight: 0.04 kg
Hailo-8
Hailo-8 AI M.2 Module ×1
Hailo-8 Acce A
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Hailo-8 AI M.2 Module x1
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PCIe TO M.2 HAT+ x1
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Standoff pack x1
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16P-Cable-40mm x1
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2*20 Pin header x1
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