Google Coral USB Edge TPU Coprocessor - AI ML Accelerator

Unleash AI Power on Your Device with the Google Coral USB Accelerator

Coral USB Accelerator brings powerful ML (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 fast ML inferencing to embedded AI devices in a power-efficient and privacy-preserving way.

Features:

• High-Performance Edge TPU: Google-designed ASIC delivers 4 trillion operations per second (TOPS) for efficient machine learning inference.
• USB Connectivity: Easily connect to your device using the included USB 3.0 cable (Type-C to Type-A).
• Compact Design: Small and lightweight for convenient desktop or mobile use.
• Broad Compatibility: Works with various Linux systems, including Raspberry Pi.
• TensorFlow Lite Support: Leverage pre-trained models or develop your custom applications.

Applications:

• Image Recognition: Quickly identify objects and scenes in images and videos.
• Object Detection: Track and classify objects in real-time for applications like security or robotics.
• Machine Learning on Edge Devices: Run AI models directly on your device without relying on the cloud.