Google Coral USB Accelerator

DescriptionThe 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 inferencingThe 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. See more performance benchmarks.Supports all major platformsConnects via USB to any system running Debian Linux (including Raspberry Pi), macOS, or Windows 10.Supports TensorFlow LiteNo need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Edge TPU.Supports AutoML Vision EdgeEasily build and deploy fast, high-accuracy custom image classification models to your device with AutoML Vision Edge.Tech specsML acceleratorGoogle Edge TPU coprocessorConnectorUSB 3.0 Type-C* (data/power)Dimensions65 mm x 30 mm* Compatible with USB 2.0 but inferencing speed is much slower.DokumentationDatasheetUSB Accelerator datasheetApplication notesGet started with the USB AcceleratorSoftware guidesModel compatibility on the Edge TPUEdge TPU inferencing overviewRun multiple models with multiple Edge TPUsPipeline a model with multiple Edge TPUsDownloadsEdge TPU compilerPre-compiled modelsAll software downloads