AI Inference on the Edge Cloud Using WebAssembly

Explore AI inference on the Edge cloud using WebAssembly in this 27-minute conference talk by Michael Yuan from Second State. Discover various options for running Tensorflow model inference on WebAssembly, using a Mobilenet image classification task as an example. Learn about the plain JS approach, Tensorflow.js, pure Rust libraries for Tensorflow, and WASI-like Tensorflow extensions that run on specialized inference chips. Follow the journey of a 60,000x performance gain through the evolution of WebAssembly. Gain insights into the future of WebAssembly-based AI on the edge cloud and its potential impact on cloud-native computing.