Coral USB Accelerator with Google Edge TPU ML accelerator coprocessor macOS, Windows 10, Google Cloud

Description

The Coral USB Accelerator adds an Edge TPU coprocessor to your system, enabling high-speed machine learning simply by connecting to a USB port.

A USB accessory that brings machine learning capabilities to existing systems. Works with Raspberry Pi and other Linux systems.

Performs high-speed ML inference: The integrated Edge TPU coprocessor is capable of performing 4 trillion operations per second (TOPS) and consumes 0.5 watts per TOPS (2 TOPS per watt). For example, it can run state-of-the-art mobile vision models like MobileNet V2 at 400 FPS in an energy-efficient manner.

Works with Debian Linux: Connects to any Debian-based Linux system via the included USB 3.0 Type-C cable.

Supports TensorFlow Lite: No need to build models from scratch. TensorFlow Lite models can be compiled to run on the Edge TPU.

Supports AutoML Vision Edge: Easily build and deploy fast, high-precision custom image classification models for your device using AutoML Vision Edge.