Google Releases LiteRT.js: A JavaScript Binding of LiteRT That Runs .tflite Models in Browsers via WebGPU
MarkTechPost Michal Sutter
Google released LiteRT.js, a JavaScript binding that runs .tflite models directly in web browsers by compiling its native on-device inference runtime to WebAssembly. LiteRT.js achieves up to 3x faster performance than other web runtimes and 5–60x speedup over CPU execution when using GPU or NPU backends through WebGPU and WebNN APIs. Web applications can now execute computer vision and audio models locally without server infrastructure, inheriting performance optimizations previously available only on Android, iOS, and desktop platforms.
Why it matters
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. The post Google Releases LiteRT.js: A JavaScript Binding of LiteRT That Runs .tflite Models in Browsers via WebGPU appeared first on MarkTechPost.
