The Coral USB Accelerator adds a Coral Edge TPU to your Linux, Mac, or Windows computer so you can accelerate your machine learning models. This page is your guide to get started. All you need to do is download the Edge TPU runtime and PyCoral library. Then we'll show you how to run a TensorFlow Lite model on the Edge TPU. To learn more about the hardware, see the USB Accelerator datasheet . Requirements A computer with one of the following operating systems: Linux Debian 10, or a derivative thereof (such as Ubuntu 18.04), and a system architecture of either x86-64, Armv7 (32-bit), or Armv8 (64-bit) (includes support for Raspberry Pi 3 Model B+, Raspberry Pi 4, and Raspberry Pi Zero 2) macOS 10.15 (Catalina) or 11 (Big Sur), with either MacPorts or Homebrew Installed Windows 10 One available USB port (for the best performance, use a USB 3.0 port) Python 3.6 - 3.9

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The Raspberry Pi AI HAT+ features a built-in neural network accelerator, turning your Raspberry Pi 5 into a high-performance, accessible, and power-efficient AI machine. Available with 13 or 26 TOPS performance, it's suited to everything from entry-level applications to more complex neural processing, with the ability to process multiple concurrent models and AI tasks.

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