AI workloads have different performance and capacity requirements compared to traditional enterprise workloads, needing to handle large datasets from gigabytes to petabytes and utilizing multiple cloud platforms.
Importance of storage scalability, performance, API integration, and data wrangling capabilities in handling AI workloads across hybrid cloud environments.