Storage Systems covers enterprise and datacenter-class hardware for structured data retention, high-throughput workloads, and AI training pipelines: NVMe and SAS/SATA all-flash arrays, hybrid flash-disk shelves, JBOD and JBOF expansion enclosures, NAS appliances, object-storage nodes, and tape libraries. Key buying considerations include raw capacity and usable capacity after RAID or erasure coding, drive form factor and interface (U.2, E1.S, SAS 12G, SATA 6G), controller cache size, supported protocols (NFS, SMB, iSCSI, NVMe-oF, S3), and rack unit density.

Common use cases span GPU cluster checkpoint storage, AI/ML dataset staging, video surveillance retention, database acceleration, and disaster-recovery vaulting. Hyperscale and colocation operators prioritize IOPS-per-watt and $/TB at scale; edge deployments favor compact, power-efficient NAS with redundant controllers. Match the device tier — all-flash for latency-sensitive inference, high-density hybrid or nearline for cold datasets — to your workload's throughput and access-pattern requirements.