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, a JavaScript binding of LiteRT that runs .tflite models in browsers via WebAssembly and WebGPU, achieving up to 3x gains over other web runtimes and 5-60x for GPU or NPU over CPU. The runtime requires manual tensor management.

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 https://www.marktechpost.com/2026/07/15/google-releases-litert-js-a-javascript-binding-of-litert-that-runs-tflite-models-in-browsers-via-webgpu/ appeared first on MarkTechPost https://www.marktechpost.com .