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Google SBC Coral USB Accelerator, Performs high-speed ML inferencing, Supports all major platforms, Supports TensorFlow Lite, Supports AutoML Vision Edge

Datasheet Get started guide The Coral USB Accelerator adds an Edge TPU coprocessor to your system. It includes a USB socket you can connect to a host computer to perform accelerated ML inferencing. The on-board 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 almost 400 FPS, in a power-efficient manner.

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. See more performance benchmarks. 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