Accelerator Module

Coming soon

To express interest, contact sales

Accelerator Module

Coming soon

To express interest, contact sales

A solderable multi-chip module including the Edge TPU

Description


The Accelerator Module is a surface-mounted module that includes the Edge TPU and its own power control. It provides accelerated inferencing for TensorFlow Lite models on your custom PCB hardware.

Performs high-speed ML inferencing

The Edge TPU is capable of performing 4 trillion operations per second (4 TOPS), using 2 watts of power—that's 2 TOPS per watt. For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 frames per second, 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


Dimensions 15.0 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
Certifications Unit shipped as a component. Final system certification/compliance to be done by the customer.

Want to learn more about the Edge TPU and Coral platform? Read about our technology.