WebAssembly Based AI as a Service
summary
Claims that WebAssembly runtimes plus Rust give huge inference wins: benchmarks show 12–15x vs Node.js and ~25x vs Python; a MobileNet V2 demo runs in 215 ms locally. Uses Rust and QuickJS/JavaScript compiled to .wasm, runs on WASI-capable runtimes (WasmEdge/wasmtime style), AOT-compiles .wasm to native .so for extra speed, packages .wasm into container images, deploys as serverless functions and in Kubernetes (kind) and the demos work end to end.
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chapters (11)
- 0:00Start
- 0:54Difference between Python and Rust When It Comes to Machine Learning
- 3:09What Exactly Is Web Assembly
- 12:17Javascript Example and Run It Locally
- 13:11Javascript Code
- 13:51Running a Js Example Locally
- 22:02Versailles Deploy
- 25:23Create a Docker File
- 26:26Builder To Build a Docker Image
- 36:26What Are the Alternatives Exists for Ai Based Uh Functionality Service and Why the Web Assembly Approach Might Be Better
- 36:54Aws Lambda
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