Skip to content

Hailo-8/8L AI HAT+ for Raspberry Pi 5

Browse Yahboom research catalog

Research catalog · EAR checkout unavailable

Explore manufacturer specifications and configurations. This listing is for research. EAR does not claim authorized-reseller status for Yahboom.

Hailo-8/8L AI HAT+ for Raspberry Pi 5

Hailo-8/8L AI HAT+ for Raspberry Pi 5

Manufacturer overview

This AI acceleration module designed for Raspberry Pi 5. Hailo-8/8L has a computing power of up to 26TOPS or 13TOPS. These processors can provide Raspberry Pi 5 with excellent edge AI computing capabilities, greatly improving the execution speed of complex applications such as image recognition, object detection, and natural language processing. The module fully supports mainstream deep learning frameworks such as TensorFlow, TensorFlow Lite, ONNX, Keras, and Pytorch, allowing users to easily develop models to meet the needs of various AI projects.

1) Providing 13/26TOPS computing power, it provides Raspberry Pi 5 with better AI acceleration performance.

2) The M.2 interface design ensures high-speed data transmission with Raspberry Pi 5.

Configurations

Configuration names are taken from Yahboom. Included boards, memory, cameras, and accessories vary; check the exact manufacturer listing before ordering.

  • Hailo-8L 13T AI HAT+ — manufacturer SKU 6000301722
  • Hailo-8 26T AI HAT+ — manufacturer SKU 6000301721

Manufacturer and external purchasing

View Hailo-8/8L AI HAT+ for Raspberry Pi 5 at Yahboom

External checkout, availability, price, shipping, taxes, and warranty are controlled by the seller. EAR does not take payment for this product. Current prices and stock are shown on the manufacturer site.

Documentation and tutorials

Related robotics learning alternatives

These serve related learning goals; they are not claimed to be interchangeable or compatible.

Source: Yahboom manufacturer product catalog, checked 2026-10-22. Descriptions, images, specifications, and datasheets used with manufacturer permission. Manufacturer claims are attributed, not independent EAR test results.