Coral USB Accelerator
Works with Linux, Mac and Windows systems.
The Coral USB Accelerator is a USB accessory that contains a specialized ASIC (Edge TPU) for acceleration of machine learning (ML) inferencing calculations.
The Edge TPU coprocessor is capable of 4 trillion operations per second, using only 2 Watts of power.
All major platforms - Debian Linux (including Raspberry Pi), macOS, and Windows 10 are supported.
Simply compile TensorFlow Lite models to run on the Edge TPU.
ML accelerator: Google Edge TPU coprocessor, supports high performance ML inferencing for TensorFlow Lite models
Connector: USB 3.0 Type-C (data/power)
Software support: Supports Linux, Mac and Windows on host CPU; Python 3.5 / 3.6 / 3.7
Dimensions: 65 mm x 30 mm
NB: The USB connector is compatible with USB 2.0 but the inferencing speed will be much slower for USB 2.0.
Datasheet & Benchmarks
~ 20 - 40 x speed-up in inferencing time compared to Embedded CPU, depending on the model architecture, CPU & connection used. See link for more information.
Using an appropriate model, the reduced inferencing time with the Edge TPU will allow you to do real-time inferencing at 50 fps or more.
Google part numbers:
- G950-01456-01 (old part number)
- G950-06809-01 (all units purchased directly from Google starting October 2020)
Additional Legal Information
The products offered by Google are unrelated to the products offered under the CORAL trademarks owned by Orient Development Enterprises Ltd. in Taiwan.