google-ai-edge
5 Apps · 0 Intel
Google AI Edge is a Google team building the end-to-end stack for on-device machine learning and generative AI, enabling developers to run models locally across mobile, web, and embedded systems without cloud dependency. The team's lineage traces to TensorFlow Lite, which launched in 2017 and reached 2.7 billion devices; in September 2024, the runtime was rebranded to reflect its evolution into a multi-framework edge AI platform supporting PyTorch, JAX, Keras, and TensorFlow alike.
Apps
A mobile app that runs powerful open-source AI models like Gemma 4 entirely on your device for completely private, offline AI experiences. Features include AI chat with thinking mode, image analysis, voice transcription, and agent skills that can interact with external tools.
Google's cross-platform ML framework for streaming media — face/hand/pose tracking, audio processing, and customizable inference pipelines on mobile and desktop.
Google's production-ready inference framework for deploying Large Language Models on edge devices like smartphones, IoT devices, and wearables. Enables on-device AI without requiring cloud connectivity, with hardware acceleration support for GPUs and NPUs.
Google's on-device ML runtime — successor to TensorFlow Lite for running models on mobile, embedded, and edge hardware.
CLI for the LiteRT (TFLite) on-device runtime — convert, quantize, compile, run, benchmark and visualize models across CPU, GPU, and NPU.