TurboQuant-WASM – Google's vector quantization in the browser

by Matilda Sanford

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Apr 4, 2026 AI & Machine Learning

browser optimization machine learning compression vector quantization

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TurboQuant-WASM is an open-source implementation of Google's vector quantization algorithm, allowing for efficient compression and encoding of dense vectors in web applications. It enables the use of machine learning models in browser environments by reducing the size of models and improving loading times. The library is built using WebAssembly (WASM) for seamless integration with web technologies.