Accelerator Module

Coming soon

To express interest, contact sales

A solderable multi-chip module including the Edge TPU

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.

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

Dimensions15.0 x 10.0 x 1.5 mm
Chipset Google Edge TPU and PMIC
Mounting type SMT, 120-pin LGA
Serial interface PCIe Gen 2; or USB 2.0
Control interfaceI2C (optional)