The Coral Accelerator Module is a multi-chip module (MCM) designed to perform high-speed inferencing for machine learning (ML) models. It includes the Edge TPU ML accelerator with integrated power control, and it can be connected over a PCIe Gen2 x1 or USB2 interface.

The Edge TPU is a small ASIC designed by Google that accelerates TensorFlow Lite models in a power efficient manner: it's capable of performing 4 trillion operations per second (4 TOPS), using 2 watts of power—that's 2 TOPS per watt. For example, one Edge TPU can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 frames per second. This on-device ML processing reduces latency, increases data privacy, and removes the need for a constant internet connection.