Google Introduces LiteRT.js for High-Performance In-Browser AI Inference

Google’s developer blog introduces LiteRT.js, a web-focused member of the LiteRT edge AI runtime family. Designed for JavaScript developers, it runs machine-learning inference directly in the browser, using WebGPU as its accelerated backend, targeting upcoming WebNN support, and falling back to WebAssembly for CPU execution. This could simplify private, low-latency web AI experiences without requiring every inference request to reach a server. However, the supplied abstract does not include benchmark results, model compatibility details, package licensing, or a browser support matrix, so its performance and deployment scope cannot yet be independently assessed here.