Google Coral USB Accelerator Edge TPU Coprocessor

READY STOCK Dapat digunakan sebagai accelerator untuk object detection Frigate Home Assistant. 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. Tech specs 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