Coral USB Accelerator

A USB accessory that brings machine learning inferencing to existing systems. Works with Raspberry Pi and other Linux systems
Performs high-speed ML inferencing: the on-board edge TPU Coprocessor is capable of performing 4 trillion operations (tera-operations) per second (tops), using 0.5 watts for each tops (2 tops per watt). For example, it can execute state-of-the-art mobile vision models such as mobilenet V2 AT 400 FPS, in a power efficient manner
Works with Debian Linux: connects to any debian-based Linux system with an included USB 3.0 Type-C cable
Supports tensorflow Lite: no need to build models from the ground up. Tensorflow Lite models can be compiled to run on the edge TPE
Supports automl vision edge: easily build and deploy fast, high-accuracy custom image classification models to your device with automl vision edge
Ml Accelerator: Google edge TPU Coprocessor
Connector: USB 3.0 Type-C (data/power)
Dimensions: 65 millimeter x 30 millimeter