Google Coral USB Accelerator
A USB accessory that brings machine learning inferencing to existing systems. Works with Raspberry Pi and other Linux systems. Gravitylink.
The Coral USB Accelerator is a USB device that adds an Edge TPU coprocessor to your system. It includes a USB socket so you can connect it to any Linux-based system to perform accelerated ML inferencing.
The onboard Edge TPU is a small ASIC designed by Google that provides high performance ML inferencing with a low power cost. For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at 400 fps, in a power efficient manner.
Run on-device ML inferencing on the Edge TPU designed by Google.
Works with Debian Linux
Connect to any Linux-based system with an included USB Type-C cable.
Supports TensorFlow Lite
No need to build models from the ground up. TensorFlow Lite models can be compiled to run on USB Accelerator.
· Google Edge TPU ML accelerator coprocessor
· USB 3.0 Type-C socket
· Supports Debian Linux on host CPU
The Coral USB Accelerator must be connected to a host computer with the following specifications:
· Any Linux computer with a USB port：
- Debian 6.0 or higher, or any derivative thereof (such as Ubuntu 10.0+)
- System architecture of either x86_64 or ARM64 with ARMv8 instruction set
|ML accelerator||Google Edge TPU coprocessor|
|Connector||USB Type-C* (data / power)|
|Dimensions||65 mm x 30 mm|