As models get smaller and more capable, more AI workloads can move onto the device itself. In this talk, Chintan Parikh from Google DeepMind walks through what that looks like in practice, from Gemma 4 edge models and on-device agent skills to the real tradeoffs around latency, privacy, cost, and cross-platform deployment. The session covers LiteRT, the Google AI Edge stack for running models across Android, iOS, desktop, web, and IoT, along with demos of local tool calling, structured output, reasoning, be ...