AI Inference Generates Significant Hidden Data Storage Costs Beyond Output Files

AI inference creates substantial back-end data footprints that are often overlooked in infrastructure planning. For instance, internal measurements from WD found that an 8-second 720p AI-generated video clip resulted in over 500MB of associated back-end data (including logs, cached context, and safety records), which is 130 times the 3.97MB output file size. McKinsey projects AI inference demand will grow at a 35% CAGR through 2030, surpassing training growth (22%) and accounting for over 40% of total data center demand by the end of the decade. A WD-sponsored IDC global white paper surveyed 763 IT and business decision makers, finding nearly 95% reported increased data volume due to generative AI in the past 12 months, with 61% reporting 25% or more growth.