mobile

Hands-On: Mobile AI with Gemma - iOS, Android

In our previous post, Mobile On-device AI: Smarter Faster Private Apps, we explored the fundamentals of running AI locally on mobile devices. Now, it’s time to get hands-on and see this technology in action! This practical guide walks you through implementing mobile on-device AI using Google’s powerful Gemma model family, including the cutting-edge Gemma 3n. You’ll learn to deploy these models across iOS, Android, and web platforms using industry-standard frameworks.

Mobile On-device AI: Smarter Faster Private Apps

While cloud computing drives many AI breakthroughs, a parallel revolution is happening right in our hands: Mobile On-device AI. As mobile devices become ever more powerful, the ability to run AI locally offers a compelling path to faster, more private, and smarter app experiences. As a developer who loves exploring AI and has built mobile apps, I am fascinated by the idea of these two worlds of mobile and AI converging.