Abstract:

In the rapidly evolving landscape of artificial intelligence, the shift from cloud-centric to edge-centric AI deployments presents unique challenges and opportunities. Qualcomm is at the forefront of this transformation, aiming to democratize AI technology by simplifying the development and deployment of AI models to edge devices. This workshop is designed to empower developers with the knowledge and tools necessary to transition AI workloads efficiently from the cloud to the edge.

Key Objectives:

Understanding Edge AI Deployment: We will address the common challenges developers face when migrating AI workloads to edge devices, including compatibility with existing frameworks and data types.

Performance Optimization: Learn how to enhance the performance of your AI models by up to 4X using Qualcomm AI Hub. This session will demonstrate the ease of testing model performance in less than 5 minutes with just a few lines of code.

Access to Optimized Models: Gain exclusive access to over 100 pre-optimized AI models suitable for a variety of applications across IoT, smartphones, compute platforms, and automotive sectors.

Practical Hands-On Guidance: Follow step-by-step instructions to deploy optimized models on real devices. We will guide you through the initial setup using Qualcomm AI Hub, iterating on your model, and meeting performance benchmarks necessary for on-device deployment.

Integration Techniques: Learn how to optimize your models further and integrate the downloadable target asset into your application effectively.

Workshop Benefits:

Participants will leave the workshop equipped with practical experience and ready-to-use tools provided by Qualcomm AI Hub. By the end of the session, developers will be proficient in leveraging the platform to not only meet but exceed the performance requirements of their edge AI applications.