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. See more performance benchmarks.

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 TPU.

Supports AutoML Vision Edge

Easily build and deploy fast, high-accuracy custom image classification models to your device with AutoML Vision Edge.

Tech Specs

ML accelerator Google Edge TPU coprocessor
Connector USB 3.0 Type-C* (data/power)
Dimensions 65 mm x 30 mm

* Compatible with USB 2.0 but inferencing speed is much slower.

Want to learn more about the Edge TPU? Check out the FAQ