Bring the Power of On-Device AI to Life with Google AI Edge and Gemma

Google AI Edge stacks like LiteRT have powered massive Google and third-party edge applications globally, from leading apps like YouTube and Google Meet, to platforms like Android, Pixel and Chrome.

In this talk, we will share how Google AI Edge is pioneering on-device AI innovation to deliver transformative experiences across our products. Let’s explore our product suite to integrate on-device AI across mobile, web, and more to keep data private, latency low, and enable offline capabilities. We'll dive into the Google AI Edge stack, showing you when to drop in ready-made features using MediaPipe Tasks, powerful language models like Gemma, how to use LiteRT to deploy and accelerate your own custom models across platforms, and demonstrate our on-device AI native apps like AI Edge Gallery.

Key Takeaways:

1. Understand edge AI use cases, and related tiny / small models like Gemma4 E2B.

2. Learn Edge AI stacks like MediaPipe and LiteRT / LiteRT-LM, and use them to build on-device apps with hardware accelerations (CPU/GPU/NPU) through simplified APIs.

3. Build and deploy on-device agents with Gemma4, and use related tools to streamline your development journey .