Build AI That Runs Everywhere with Qualcomm AI Hub & Gemma

​Join us for a hands-on session exploring how to take AI models from experimentation to deployment across devices. We'll dive into building and optimising AI applications for desktop and mobile, working with PyTorch-based workflows, and understanding how on-device AI is becoming practical at scale.

​We'll also explore Qualcomm's AI ecosystem, including AI Hub, and look at how open models like Gemma can be optimised for edge deployment. From mobile experiences to sensor-rich applications powered by technologies such as LiDAR, this session will cover the tools, workflows, and opportunities shaping the next generation of intelligent applications.

​Whether you're an AI developer, mobile engineer, researcher, or simply curious about deploying AI beyond the cloud, you'll leave with a better understanding of how to build fast, efficient, and privacy-preserving AI experiences on real devices.

Topics: Desktop AI, Mobile AI Apps, PyTorch, LiDAR, Gemma, Qualcomm AI Hub, Edge AI Deployment

​Come build AI that doesn't just run in the cloud, but runs where your users are.

​This event is supported by Qualcomm Developers and Google for Developers.