In this workshop we address the common challenges faced by developers migrating AI workloads from the cloud to edge devices. Qualcomm aims to democratize AI at the edge, easing the transition to the edge by supporting familiar frameworks and data types. ​

In this session, developers can follow along, gaining knowledge and tools to efficiently deploy optimized models on real devices using Qualcomm AI Hub. ​

We'll walk through how to get started using Qualcomm AI Hub, iterate on your model and meet performance requirements to deploy on device! We'll show examples on how to optimize models and bundle the downloadable target asset into your application.