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Hailo-8 M.2 AI Accelerator Module Based On the 26TOPS Hailo-8 AI Processor Suitable For Raspberry Pi 5

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 5Hailo-8 AI KitEquipped With 26TOPS Hailo-8 M.2 AI Accelerator ModuleThis 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.Fe

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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.



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.


Hailo-8 performance parameters

NN Model

Input Resolution

mAP

Hailo-8L FPS
(batch8)

yolov4_tiny

yolov4_tiny

18.98

610

yolov6n

yolov6n

34.3

345

yolov7

yolov7

49.8

45

yolox_s_wide

yolox_s_wide

42.4

75

yolov3

yolov3

38

26

yolov8n

yolov8n

37.23

270

yolov8s

yolov8s

44.75

128

yolov8m

yolov8m

50.08

55


Type

NN Model

Input Resolution

FPS

Power(W)

FPS/W

Classification

ResNet-50 v1

224x224

1332

3.45

386

MobileNet_v2_1.0

224x224

2444

2.152

1135

EfficientNet_M

240x240

889

3.5

254

Object Detection

SSD_MobileNet_v1

300x300

1055

2.2

479

YOLOv5m

640x640

218

4.6

47.3

Segmentation

stdc1

1024x1920

54

2.9

18.6

Multi stream object detection (8 streams)

YOLOv3

608x608

69

4.9

14


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 Bto 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
Resources & Services

Packing List

Hailo-8

Hailo-8 AI M.2 Module ×1