Utilizes fast ML calculations: Every Edge TPU coprocessor can handle 4 trillion operations per second (4 TOPS) with only 2 watts of power. One illustration is the ability to process cutting-edge mobile vision models like MobileNet v2 at approximately 400 FPS, in an energy-efficient manner. By utilizing both Edge TPUs in this module, the number of inferences per second can be doubled to 8 TOPS through various methods, such as running two models simultaneously or splitting one model between the Edge TPUs.
Supports TensorFlow Lite: No need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Edge TPU.
Supports AutoML Vision Edge: Easily build and deploy fast, high-accuracy custom image classification models to your device with AutoML Vision Edge. Description
Works with Debian Linux and Windows: Integrates with Debian-based Linux or Windows 10 systems with a compatible card module slot.