Coral USB EDGE TPU accelarator, Jyväskylä

Coral USB EDGE TPU accelarator, Itse käytän AI tunnistuksissa esim Frigate. Potkua löytyy mukavasti.

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. 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. TensorFlow Lite models can be compiled to run on the Edge TPU.

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