SOM System-On-Modules - SOM Google Edge TPU ML Compute Accelerator, Integrate The Edge TPU into Legacy and New Systems Using a Standard Half-Mini PCIe

Performs highspeed ML inferencing The onboard Edge TPU coprocessor is capable of performing 4 trillion operations teraoperations per second TOPS using 05 watts for each TOPS 2 TOPS per watt For example it can execute stateoftheart mobile vision models such as MobileNet v2 at 400 FPS in a power efficient manner See more performance benchmarks Works with Debian Linux Integrates with any Debianbased Linux system with a compatible card module slot 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 highaccuracy custom image classification models to your device with AutoML Vision Edge