The Google Coral M.2 Accelerator is an M.2 module that brings the Google Edge TPU coprocessor to existing system and products. It enables easy integration into ARM and x86 platforms so it can add local ML acceleration to product such as embedded platforms, mini-PCs, and industrial gateways.

The Edge TPU is a small ASIC designed by Google that provides high performance ML inferencing with low power requirements: it's 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 almost 400 FPS, in a power efficient manner. This on-device processing reduces latency, increases data privacy, and removes the need for constant high-bandwidth connectivity. The M.2 Accelerator is a dual-key M.2 card (either A+E or B+M keys), designed to fit any compatible M.2 slot.