May 5, 2022 · Coral is a complete toolkit to build products with local AI. Our on-device inferencing capabilities allow you to build products that are efficient, private, fast and offline.

A full height, half length, PCIe Gen3 AI accelerator card that supports up to 8 Coral M.2 Accelerator cards.

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. A computer with one of the following operating systems: Linux Debian 10 ...

A USB accessory that brings accelerated ML inferencing to existing systems. Works with Windows, Mac, and Raspberry Pi or other Linux systems.

Coral is a hardware and software platform for building intelligent devices with fast neural network inferencing. At the heart of our devices is the Coral Edge TPU coprocessor. This is a small ASIC built by Google that's specially-designed to execute state-of-the-art neural networks at high speed, with a low power cost.

The Coral M.2 Accelerator with Dual Edge TPU is an M.2 module that brings two Edge TPU coprocessors to existing systems and products with a compatible M.2 E-key slot.* Each Edge TPU coprocessor is capable of performing 4 trillion operations per second (4 TOPS), using 2 watts of power. For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 FPS, in a ...

To get started with either the Mini PCIe or M.2 Accelerator, all you need to do is connect the card to your system, and then install our PCIe driver, Edge TPU runtime, and the TensorFlow Lite runtime. This page walks you through the setup and shows you how to run an example model. The setup and operation is the same for both Mini PCIe and M.2 form-factors, including the M.2 Accelerator with ...

An open source AI experiment that introduces the basics of machine learning by helping you build a teachable object using a Raspberry Pi Zero and the Coral USB Accelerator.

The Coral PoE Add-on board snaps onto the Coral Dev Board Micro with high-density pin connectors to provide Ethernet-based connectivity and power.

Models that recognize the subject in an image, plus classification models for on-device transfer learning.