Google Coral Edge TPU USB ML Accelerator - Machine Learning - Tensor Flow Lite

 

Description

The Coral USB Accelerator adds an Edge TPU coprocessor to your system, enabling high-speed machine learning inferencing on a wide range of systems, simply by connecting it to a USB port.

 

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 almost 400 FPS, in a power efficient manner. 

Supports all major platforms

Connects via USB to any system running Debian Linux (including Raspberry Pi), macOS, or Windows 10.

Supports TensorFlow Lite

No need to build models from the ground up.

 

ML accelerator

Google Edge TPU coprocessor:
4 TOPS (int8); 2 TOPS per watt

Connector

USB 3.0 Type-C* (data/power)

Dimensions

65 mm x 30 mm

Availability

Australia, European Union (except France, Czech Republic), Ghana, Hong Kong, India, Indonesia, Israel, Japan, Kenya, Malaysia, New Zealand, Oman, Philippines, Singapore, South Korea, Taiwan, Thailand, United States, Vietnam