Google Releases LiteRT.js: A JavaScript Binding of LiteRT That Runs .tflite Models in Browsers via WebGPU
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.
Google released LiteRT.js, a JavaScript binding of LiteRT, allowing .tflite models to run in browsers via WebGPU. LiteRT.js reportedly offers up to 3x faster performance than other web runtimes and 5-60x speedup with GPU or NPU acceleration. It supports three backends: CPU, GPU, and NPU, with manual tensor management required to avoid memory leaks.
Summarised by netranta from MarkTechPost. Open the original for the full story.
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