The Coral USB Accelerator enables you to add an Edge TPU coprocessor to your system for high-speed machine learning inferencing on a wide range of systems, just by connecting it via a USB port.
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The Coral USB Accelerator enables you to add an Edge TPU coprocessor to your system for high-speed machine learning inferencing on a wide range of systems, just by connecting it via a USB port.
Details
USB Type-C* (data/power)
Google 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 400 FPS, in a power-efficient manner.
Connects via USB to any system running Debian Linux (including Raspberry Pi), macOS, or Windows 10.
Supports TensorFlow Lite so you can use existing models to run on the Edge TPU.
Supports AutoML Vision Edge to easily build and deploy fast, high-accuracy custom image classification models to your device.
Technical Specifications
ML accelerator
Google Edge TPU coprocessor:
4 TOPS (int8); 2 TOPS per watt
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