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Raspberry Pi

Raspberry Pi AI Kit: M.2 HAT+, Hailo AI Module, 16mm Header, Spacers, Screws - Bluetooth Connectivity - Single Board Computer

  • Based on 54 reviews
Condition: New
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Availability: 15 left in stock
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Arrives Tuesday, Dec 16
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Features

  • Contains a neural network inference accelerator capable of 13 tera-operations per second (TOPS)
  • Fully integrated into Raspberry Pis camera software stack
  • Thermal pad pre-fitted between module and HAT+ spreads heat across components, improving performance
  • Conforms to Raspberry Pi HAT+ specification
  • Supplied with 16mm stacking header, spacers, and screws to enable fitting on Raspberry Pi 5 with Raspberry Pi Active Cooler in place

Brand: Raspberry Pi


Model Name: AI Kit


Connectivity Technology: Ethernet


Included Components: Raspberry Pi M.2 HAT, Hailo AI acceleration module and supplied with 16mm stacking header, spacers, and screws. See more


Operating System: Raspberry Pi OS (Debian-based Linux distribution)


RAM: ‎LPDDR4


Wireless Type: ‎Bluetooth


Brand: ‎Raspberry Pi


Series: ‎AI Kit


Item model number: ‎SC1438


Operating System: ‎Raspberry Pi OS (Debian-based Linux distribution)


Item Weight: ‎1.41 ounces


Processor Brand: ‎Raspberry Pi


Number of Processors: ‎1


Manufacturer: ‎Raspberry Pi


Date First Available: ‎June 7, 2024


Frequently asked questions

If you place your order now, the estimated arrival date for this product is: Tuesday, Dec 16

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Top Amazon Reviews

    • Fun kit! This won’t run LLM’s efficiently, but yolo/image recognition no problem!
Kits came very nicely packed with all required hardware. Fits like a glove on the pi 5. Work seamless with any pi camera. Works well with multiple versions of yolo. This is not designed for LLM/chat bots. Primarily different types of image recognition. The documentation is good, however one of the example yolo projects doesn’t work. I would buy again ... show more
Reviewed in the United States on March 26, 2025 by Matt
    • Fantastic!
Easy as Pi. Added to my Pi 5, running Mistral 7B locally/offline without issue. Not as slow as I expected.
Reviewed in the United States on January 20, 2025 by Daphne J. Karpan
    • Satisfied
Works just fine, consider buying the latest version instead of this the price is identical
Reviewed in the United States on August 5, 2025 by Spartak
    • AI hat mounted on.
Review Image by Amazon Customer Amazon Customer
Can add extensions, just be careful.
Reviewed in the United States on August 30, 2024 by Amazon Customer Amazon Customer
    • Not for serious projects or products.
Extremely poorly designed system. All the benchmarks you're seeing on Hailo model zoo, divide those FPS by 2.5, that is the real speed of the unit. You can not program with their system like you would with a normal system like NVIDIA Orin, or on a laptop using GPU... you HAVE TO USE THEIR APPs, or nothing works. Which means you have very little control of your programs, you are constrained by their apps, and the whole system becomes brittle. You can not just install their libraries and use it, you have to download their entire file structure, and then use their own venv environment to get anything to work, therefore you will have to migrate your entire project into their setup rather than the other way around. AVOID at all cost. Better to spend a few extra dollars and buy a different system. There is a reason why you don't see this being used in the industry. I am in the process of returning mine, and purchasing Orin Nano. This is just not worth the hassle, between the price of RPI5 + heatsinks/fan + Hailo, you might as well throw in a few extra dollars and get the Orin. ... show more
Reviewed in the United States on July 24, 2025 by James
    • Doesn't work with LLM's
I wish that they made it more obvious that this only works with visual AI and doesn't do much for LLM's. Still a solid product, and it's easy to install and operate.
Reviewed in the United States on June 12, 2025 by Arnold
    • Hailo AI Platform is TRASH
All I'm trying to do is run a custom yolov8 model. Easy right? Nope, took forever to compile to their proprietary format. Okay, so it should be easy to run that on their hardware? Nope. Getting a nonsense error. Funny enough I was able to get the model working for Google Coral AI Accelerator (but they've stopped/will stop support for these chips soon) and Rockchip (but the whole system was too unstable), but for some reason, this platform takes the cake with how terrible it is to work with. ... show more
Reviewed in the United States on October 8, 2024 by Jonathon
    • Don't buy if you want to use GPIO
Standoffs are too tall to use if you also want to use the GPIO pins
Reviewed in the United States on May 31, 2025 by Brian Williamson

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