Overview
Learn about deploying AI services on edge devices using WebAssembly and Kubernetes in this technical conference talk. Explore how WebAssembly (WASM) is revolutionizing edge applications through lightweight runtimes like WasmEdge for serverless functions. Discover techniques for converting multi-threaded Rust applications into WASM-compatible deployments, and understand how to overcome the limitations of Linux containers for computationally intensive Machine Learning inference tasks. Master the implementation of WebAssembly System Interface (WASI) to achieve security, portability, and native speed for ML models. Watch a practical demonstration of deploying a Machine Learning model as a serverless function using WASM on an edge device, showcasing real-world applications of these cutting-edge technologies.
Syllabus
WebAssembly Based AI as a Service on the Edge with Kubernetes - Rishit Dagli, Shivay Lamba
Taught by
LF Networking