AI Inference on the Edge Cloud Using WebAssembly
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Overview
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This session compares approaches to running TensorFlow inference with WebAssembly, using MobileNet image classification as an example. It traces performance gains across JavaScript, Rust, and WASI-like TensorFlow extensions for specialized inference chips, and considers the future of WebAssembly-based AI on the edge cloud.
Syllabus
AI inference on the Edge cloud using WebAssembly - Michael Yuan, Second State
Taught by
CNCF [Cloud Native Computing Foundation]