Integrate the Edge TPU into legacy and new systems using a Mini PCIe interface.

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

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Coral Mini PCIe Accelerator front view, 45 degrees

The Coral Mini PCIe Accelerator is a Half-Mini PCIe card 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.

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.