Storage systems for datacenter and AI infrastructure encompass NAS arrays, SAN solutions, all-flash and hybrid storage appliances, JBOD/JBOF expansion shelves, and NVMe-oF fabric-attached storage. Products span entry-level SMB NAS through enterprise all-NVMe arrays rated for millions of IOPS, alongside storage controllers, HBAs, and drive enclosures from manufacturers including NetApp, Pure Storage, Seagate, Western Digital, and Synology.

Key buying considerations include raw capacity and drive-bay count, interface protocol (NVMe, SAS, SATA, Fibre Channel, iSCSI, SMB/NFS), maximum sequential and random IOPS, rebuild time under failure, and rack unit footprint. AI training workloads demand high-throughput parallel I/O — typically NVMe-based shared storage with RDMA connectivity — while backup and archival tiers favor high-density SAS or SATA configurations with erasure coding. Virtualization environments typically require low-latency block storage with thin provisioning, snapshots, and replication support.