Coral USB Accelerator

Works with Linux, Mac and Windows systems.

Speed up machine learning inferencing

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.

Please contact us for educational discounts & advice.

Tech Specs

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

Model: WA1

NB: The USB connector is compatible with USB 2.0 but the inferencing speed will be much slower for USB 2.0.

Datasheet & Benchmarks

Performance TL;DR:

~ 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 number: G950-01456-01

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