Powering Up NodeJS Performance by Rust and WebAssembly
summary
Shows how to compile specific Rust functions into a .wasm module and a generated Node.js glue file, then call that module from Node to offload CPU work (example: a simple “append hello” endpoint that returns “hello opencs” via curl). Uses Rust compiled to WebAssembly and runs on a WasmEdge runtime with AOT compilation; a MobileNet TensorFlow inference demo runs inside Rust instead of JS. Claim: native JS inference took minutes, tfjs ~10ms, and Rust via WASM drops it to <1ms.
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chapters (15)
- 0:00Introduction and welcome
- 1:25Moore's law and software limits
- 2:50Why choose Rust over C++
- 4:16Running Rust in the web
- 5:19What is WebAssembly
- 6:41WebAssembly beyond the browser
- 8:03WasmEdge runtime explained
- 9:05Combining Node.js Rust and WASM
- 13:13Getting started with setup
- 14:58Demo walkthrough Rust code
- 16:41Node.js integration demo
- 18:48Machine learning inference demo
- 21:15Performance benefits and use cases
- 23:43Summary and ecosystem overview
- 25:09Q&A session
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