Official Raspberry Pi AI Kit

Unlock the power of AI with the Official Raspberry Pi AI Kit. This kit includes the Raspberry Pi M.2 HAT+ and the powerful Hailo AI acceleration module, which is specifically designed for the Raspberry Pi 5. The Hailo-8L processor can do 13 tera-operations per second, which makes it ideal for complicated AI applications.

The module connects easily to the Raspberry Pi 5 through the M.2 HAT+, linking the AI module’s M.2 interface with the Raspberry Pi 5’s PCIe 2.0 interface. With the latest Raspberry Pi OS, the system automatically detects the Hailo module, making the Neural Processing Unit (NPU) ready for AI tasks. The built-in camera apps in Raspberry Pi OS also support the AI module, streamlining AI-powered projects.

This kit is mainly used for a variety of purposes, such as advanced robotics, unique home projects, deep learning artificial intelligence, and instructional support. So, It's time to transform your Raspberry Pi 5 into an effective AI workstation. Get into the fascinating field of artificial intelligence by ordering an Official Raspberry Pi AI Kit.

Key Features:

• Capable of 13 TOPS for effective neural network inference.
• Fully integrated into the Raspberry Pi's camera software stack for convenient use.
• The pre-fitted thermal pad distributes heat across components, enhancing overall performance.
• Conforms to the Raspberry Pi HAT+ standard for dependable operation.
• Comes with a 16mm stacking header, spacers, and screws for simple installation.
• Temperatures may range from 0℃ to 50℃, making it suitable for a variety of applications.

Package Includes:

• 1 x Raspberry Pi M.2 HAT+
• 1 x Hailo AI acceleration module

Specifications:

Neural Network Inference Accelerator	13 tera-operations per second (TOPS)
Form Factor	M.2 2242
Connectivity	M key edge connector connects to M.2 HAT+
Integration	Fully integrated into Raspberry Pi’s camera software stack
Heat Management	Thermal pad pre-fitted between module and HAT+ to disperse heat
Compatibility	Conforms to Raspberry Pi HAT+ specification
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