System design is the backbone of successful AI applications. In this session, you’ll learn how to apply essential design principles to make AI workloads thrive on cloud-native platforms like Kubernetes. Through real-world examples, we’ll explore common mistakes and practical strategies to build scalable, reliable, and cost-effective systems. This talk will help developers, DevOps engineers, and architects understand how to bridge the gap between AI innovation and Cloud-Native infrastructure. You’ll leave with clear, actionable best practices you can use in your AI or Cloud projects.