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Learn advanced concepts in storage systems for artificial intelligence workflows in this 50-minute conference presentation that builds upon foundational AI storage knowledge. Explore the distinct phases of AI workflows and their varying storage access profiles, moving beyond introductory concepts to focus on practical implementation considerations. Discover the different types of work performed during each AI phase and understand the specific workload patterns that storage systems encounter. Examine general guidelines for matching storage access types to different AI workflow phases, with concrete examples of processes and their storage requirements. Gain insights into evaluating storage infrastructure needs for AI implementations and develop a framework for understanding storage performance requirements across the AI development lifecycle.
