Coral USB Accelerator

Description

USB Accelerator

The Coral USB Accelerator brings powerful Machine Learning inferencing capabilities to existing Linux systems. Featuring the Edge TPU (a small ASIC designed and built by Google) the USB Accelerator provides high performance ML inferencing with a low power cost over a USB 3.0 interface.

For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at 100+ fps, in a power efficient manner. This allows you to add fast ML inferencing to your embedded AI devices in a power-efficient and privacy-preserving way.

Models are developed in TensorFlow Lite framework and then compiled to run on the USB Accelerator.

Specifications

• Google Edge TPU ML accelerator coprocessor
• USB 3.0 Type-C socket
• Supports Debian Linux on host CPU
• Models are built using TensorFlow
• Fully supports MobileNet and Inception architectures though custom architectures are possible
• Compatible with Google Cloud
• Edge TPU accelerator
• ASIC designed by Google that provides high performance ML inferencing for TensorFlow Lite models
• Arm 32-bit Cortex-M0+ Microprocessor (MCU)
• USB 3.1 (gen 1) port and cable (Super Speed, 5Gb/s transfer speed)