AI.Panther provides multiple storage types to support research computing workflows, including NFS-based home directories for user files, local scratch, DDN ExaScaler project storage for shared research data, and DDN scratch storage for temporary workloads. Each storage type is optimized for a specific purpose, with different access models, performance characteristics, and data retention policies.