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.
AI Inference on the Edge Cloud Using WebAssembly
CNCF [Cloud Native Computing Foundation] via YouTube
Overview
Syllabus
AI inference on the Edge cloud using WebAssembly - Michael Yuan, Second State
Taught by
CNCF [Cloud Native Computing Foundation]
