The Coral Mini PCIe Accelerator is a half-size Mini PCIe module that brings the Edge TPU coprocessor to existing systems and products with an available Mini PCIe 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.

Works with Debian Linux and Windows
Integrates with any Debian-based Linux or Windows 10 system with a compatible card module slot.

Supports TensorFlow Lite
No need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Edge TPU.

Tech specs
ML accelerator Google Edge TPU coprocessor:
4 TOPS (int8); 2 TOPS per watt
Connector Half-size Mini PCIe
Dimensions 30 x 26.8 mm

API references
PyCoral API (Python)
Libcoral API (C++)
Libedgetpu API (C++)