Combining the power of DevOps, Kubernetes and MLOps brings scalability, reliability, and reproducibility to AI and ML workflows. In this session, we will explore how Kubernetes enables the orchestration of distributed AI training and inference pipelines, while MLOps practices ensure efficient model development, deployment, and monitoring. Join Annie to discover how this combination empowers organizations to unlock the full potential of generative AI while achieving seamless scalability and operational excellence.