Explore the integration of MLFlow with multi-cloud compute infrastructure in this 26-minute conference talk from MLOps World: Machine Learning in Production. Gain insights from experienced speakers Jitendra Pandey and Jagane Sundar as they share their expertise on leveraging MLFlow for ML training and deployment at scale. Discover architectural considerations for a truly multi-cloud compute engine and learn how to effectively track, manage, and monitor runs in a multi-cloud setup. Delve into the speakers' experiences with MLFlow service across multiple cloud environments and understand the importance of closely integrating compute infrastructure with MLFlow for optimal performance.