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WebAssembly-Based FaaS Framework with Distributed Machine Learning...

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Describes building a FaaS platform that runs inference workloads using WebAssembly for lightweight, secure execution and integrates WebAssembly runtimes with Ray to add distributed ML features. Explains using Ray’s distributed scheduling, object store and inter-task communication to unify resource abstraction and enable cross-language functions (Rust, Go, JavaScript) to be ported and scaled.

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