WebAssembly for AI Infrastructure: A Lightweight, Fast, and Secure Alternative Approach

Explore a conference talk that delves into WebAssembly (WASM) as a lightweight, fast, and secure alternative for AI infrastructure. Learn about the advantages of using Rust and WASM over traditional Python and Docker combinations in building large-scale model infrastructure. Discover how Rust+WASM can significantly outperform Python in AI inference applications, offering improved speed and reduced size. Understand the benefits of WASM as an ideal sandbox for running Rust applications in the cloud. Gain insights into the motivations, advantages, and potential drawbacks of implementing WASM in large-scale model infrastructure. Explore real-world case studies showcasing the Rust and WebAssembly combination. Learn how to quickly deploy a serverless Rust+WASM AI application, and understand WebAssembly's role, strengths, and weaknesses in the context of large model infrastructure.