Coral M.2 Accelerator A+E key

Integrate the Edge TPU into legacy and new systems using an M.2 A+E key interface.

Google Edge TPU ML accelerator
4 TOPS total peak performance (int8)
2 TOPS per watt
Integrated power management
PCIe Gen2 x1 interface
Operating temp: -20 to +85 °C

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Coral M.2 Accelerator A+E key front view, 45 degrees

The Coral M.2 Accelerator is an M.2 module (either A+E or B+M key) that brings the Edge TPU ML accelerator to existing systems and products. 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. The M.2 form-factor allows you to add local ML acceleration to products such as embedded platforms, mini-PCs, and industrial gateways that have a compatible M.2 card slot.

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.