The short version: Google presents LiteRT, a framework for fast on-device AI that runs models directly on smartphones and other devices. By leveraging specialized processors such as Neural Processing Units (NPUs), it enables quick and responsive AI applications – from real-time video effects to automatic speech recognition – without compromises in performance, battery life, or thermal management.
Google introduces LiteRT, a production-ready framework that executes AI models directly on devices. Through the use of specialized processors like Neural Processing Units (NPUs), it enables fast and responsive AI applications – from real-time video effects to automatic speech recognition – without trade-offs in performance, battery life, or thermal management.
LiteRT is a cross-platform framework that runs on mobile devices, desktops, and IoT systems. The tool accelerates AI workloads on CPU, GPU, and NPU alike and provides developers with a unified API for rapid deployment of AI functionality.
For users, this means seamless AI experiences directly on the smartphone – such as real-time video effects, automatic speech recognition, or motion capture technologies. For developers, LiteRT solves common challenges: the hardware of NPUs specifically designed for AI tasks reduces heat accumulation and power consumption, while frame rates remain stable.
The framework combines performance and scalability in a production-ready solution that efficiently executes complex AI models on edge devices – without cloud dependency and with maximum control over sensitive data.