The Journey Along the Way to Data Locality on Cloud for AI/ML

Explore the realm of data locality in this 26-minute conference talk from CNCF's KubeCon + CloudNativeCon. Delve into the advantages and disadvantages of data locality for cost savings and performance optimization in modern Kubernetes clusters, particularly for AI applications. Learn about balancing cost reduction and performance maximization through data locality, and discover best practices and lessons learned from real-world experiences. Examine case studies and practical examples highlighting the benefits of local and distributed cache on Kubernetes for AI training and cloud infrastructure cost savings. Gain valuable insights into optimizing data-locality strategies for AI/ML workloads in cloud environments.