Modernizing HPC Infrastructure in an SSD-Constrained Era
HPCwire, Tuesday, June 9th, 2026
Amid the NAND shortage, intelligent data tiering can cut SSD dependence without sacrificing HPC and AI performance.
The article argues that the NAND shortage demands rethinking the assumption that performance requires all-flash storage, since many data-intensive workloads benefit more from intelligent data placement than blanket SSD deployment.
Placing hot data such as active training sets, checkpoints, and metadata on high-performance tiers while moving colder data to disk can sharply reduce dependence on scarce NAND without hurting throughput. Compression and deduplication are noted as poorly suited to modern AI and HPC flows, whose data is often already optimized or resistant to compression.
Modern spinning disks combined with advanced caching and tiering can meet many pipeline needs, with today's HPC environments spanning five to seven tiers where optimization focuses on data placement rather than bandwidth to a single tier.