Google Coral USB Accelerator

Coral is a hardware and software platform for building intelligent devices with fast neural network inferencing. At the heart of the devices is the 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 Edge TPU is capable of performing 4 trillion operations (tera-operations) per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt).

Coral USB Accelerator is a USB accessory that brings machine learning inferencing to existing systems. Works with Raspberry Pi and other Linux systems.

It can execute state-of-the-art mobile vision models such as MobileNet v2 at 400 FPS. TensorFlow Lite models can be compiled to run on the Edge TPU. You can easily build and deploy fast, high-accuracy custom image classification models to your device with AutoML Vision Edge.

USB Accelerator connects to any Debian-based Linux system with an included USB 3.0 Type-C cable.

More information is available on the website of Coral.