In an era where real-time data processing and low-latency responses are crucial, running AI models on the edge has emerged as a game-changer. This session delves into the transformative potential of deploying large language models (LLMs) and other AI technologies directly on edge devices. We will explore the technical intricacies and architectural considerations of edge AI with Azure.

Key Takeaways:
- Gain insights into the fundamentals of running AI models on edge devices using Azure services, including hardware requirements, software frameworks, and deployment strategies.
- Learn about the best practices for designing and implementing edge AI solutions with Azure, ensuring optimal performance and scalability.
- Experience live demonstrations of Azure edge AI applications, highlighting the ease of integration and the tangible benefits for end-users.

This session is tailored for developers and architects eager to harness the power of AI at the edge with Azure, offering practical knowledge and inspiration to innovate beyond the cloud.