Google Releases LiteRT.js: A JavaScript Binding of LiteRT That Runs .tflite Models in Browsers via WebGPU
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Google released LiteRT.js on July 9, 2026. It is a JavaScript binding of LiteRT, Google's on-device inference library. The runtime executes .tflite models directly in the browser through WebAssembly, with XNNPACK on CPU, ML Drift over WebGPU, and experimental WebNN for NPUs. Google reports up to 3x gains over other web runtimes, and 5–60x for GPU or NPU over its own CPU path. One detail the announcement omits: tensors are manually managed and must be deleted.
1Key Takeaways
- Google released LiteRT.js on July 9, 2026.
- It is a JavaScript binding of LiteRT, Google's on-device inference library.
- The runtime executes .tflite models directly in the browser through WebAssembly, with XNNPACK on CPU, ML Drift over WebGPU, and experimental WebNN for NPUs.
- Google reports up to 3x gains over other web runtimes, and 5–60x for GPU or NPU over its own CPU path.
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3Why it matters
New model releases change what is possible for builders, researchers, and everyday AI users. MarkTechPost reports that google released LiteRT.js on July 9, 2026.
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