Hailo-8 M.2 AI Accelerator Module Suitable for Raspberry Pi 5
Product Link
Introduction
Hailo-8/8L chip with 26/13Tops computing power.
Feature
Neural network inference accelerator with 13/26 trillion operations per second (TOPS) built on Hailo-8/8L chips.
PCIE M.2 HAT+ for connecting the AI module to the Raspberry Pi 5.
Support installing with hardware kit.
Stackable GPIO pin header.
Hardware Connection
Pay attention to the cable orientation, as shown below:
Working with Raspberry Pi
Update
#1: update the software
sudo apt update && sudo apt full-upgrade
sudo rpi-eeprom-update
#Configure CLI (Not required for 2024 or later version systems)
sudo raspi-config
#Advanced Options -> Bootloader Version, select Latest. Then, click Finish or press ESC key to exit raspi-config
#2: Update firmware
sudo rpi-eeprom-update -a
Identify Device
1: Enable the PCIE interface:
Connect the hardware, and the latest system system will detect the hardware, connect the hardware will automatically enable the PCIE interface
If not, you can execute: add "dtparam=pciex1" in /boot/firmware/config.txt
2: Enable PCIE Gen3, add the following content in /boot/firmware/config.txt (Gne3 mode must be enabled):
dtparam=pciex1_gen=3
3: Reset the PI5 after modification, and then the device will be identified. (You can not reboot first and then reboot when the library is installed.)
Test Demo
rpicam-apps runs camera demo with Hailo AI Neural Network Accelerator.
Preparation:
1: Raspberry Pi 5 and Hailo-8 Acce A kit
2: Install 64-bit Raspberry Pi OS Bookworm
3: Install Raspberry Pi camera (for testing, use to connect the CAM1 interface.)
1: Install and use the required dependencies for AI Kit:
sudo apt install hailo-all
2: Reboot the device:
sudo reboot
3: Check whether the driver is normal:
hailortcli fw-control identify
Or execute "dmesg | grep -i hailo" to check the log
4: Check the camera:
rpicam-hello -t 10s
Please ensure the camera is in normal operation
