Artificial intelligence (AI) is increasingly pervasive in our lives, driving the need for decentralized processing at the edge. However, this convergence of AI and edge computing poses significant challenges, particularly in privacy and security.

This workshop delves into the crucial intersection of AI deployment at the edge and the imperative need for privacy-centric approaches. Through hands-on exercises and demonstrations, participants will explore how Kubernetes, a robust container orchestration platform, can facilitate the seamless deployment and maintenance of AI models, including large language models (LLMs), at the edge.

Drawing upon real-world use cases and best practices, this workshop aims to empower participants with practical skills and actionable insights to deploy AI securely and responsibly at the edge. Join us to learn how to navigate the complexities of AI deployment while preserving privacy in an interconnected world.