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.

• High-speed TensorFlow Lite inferencing