Mini PCIe Accelerator
Integrate the Edge TPU into legacy and new systems using a Mini PCIe interface.
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. See more performance benchmarks.
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.
Supports AutoML Vision Edge
Easily build and deploy fast, high-accuracy custom image classification models to your device with AutoML Vision Edge.
|ML accelerator||Google Edge TPU coprocessor: |
4 TOPS (int8); 2 TOPS per watt
|Connector||Half-size Mini PCIe|
|Dimensions||30 x 26.8 mm|
|Availability||Australia, Brazil, Canada, European Union (except Czech Republic), Ghana, Hong Kong, India, Indonesia, Israel, Japan, Kenya, Malaysia, Mali, Mexico, New Zealand, Oman, Philippines, Singapore, South Korea, Taiwan, Thailand, Ukraine, United States, Vietnam|
- Model compatibility on the Edge TPU
- Edge TPU inferencing overview
- Run multiple models with multiple Edge TPUs
- Pipeline a model with multiple Edge TPUs