A USB accessory that brings machine learning inferencing to existing systems. Works with Raspberry Pi and other Linux systems.
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The Coral USB Accelerator brings powerful ML inferencing capabilities to existing Linux systems.
Featuring the Edge TPU — a small ASIC designed and built by Google— the USB Accelerator provides high performance ML inferencing with a low power cost over a USB 3.0 interface. For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at 100+ fps, in a power efficient manner. This allows you to add fast ML inferencing to your embedded AI devices in a power-efficient and privacy-preserving way.
Models are developed in TensorFlow Lite and then compiled to run on the USB Accelerator.
Edge TPU key benefits
Coral is a division of Google, that helps you build intelligent ideas with our platform for local AI.
Edge TPU ML accelerator
Arm 32-bit Cortex-M0+ Microprocessor (MCU)
Run on-device ML inferencing on the Edge TPU designed by Google.
Works with Debian Linux
Connect to any Linux-based system with an included USB Type-C cable.
Supports TensorFlow lite
No need to build models from the ground up. Tensorflow Lite models can be compiled to run on USB Accelerator.
The Coral USB Accelerator must be connected to the hostcomputer which is consistent with the following specifications：
All kinds of Linux computer with a USB port
* Compatible with Raspberry Pi boards at USB 2.0 speeds only.
Supported Operating Systems
1 x Coral USB Accelerator
Get started guide