HPE guidance: when enterprises should buy AI capacity instead of consuming it
HPE published guidance arguing that as AI moves from pilots to always-on production workloads, enterprises should evaluate whether owning AI capacity (on-premises or committed cloud capacity) is more economical and predictable than pay-per-request consumption. The piece urges workload-by-workload cost modeling, active operating models for adoption and governance, and consideration of a crossover point where ownership yields lower total cost and greater predictability.