AI Factory Economics: Determining Its Financial Viability
HPE, Thursday, September 10th, 2026
A cost model for AI infrastructure investment covering utilization, power and the assumptions that decide viability.
HPE works through the economics of AI factory investment, covering the cost components and the utilization assumptions that determine whether a build makes financial sense against cloud alternatives.
The analysis is useful because AI infrastructure business cases are frequently built on peak capacity requirements while the economics depend on average utilization, and the gap between them decides the outcome.
Power availability and cost are treated as first-order variables rather than facilities details, which matches how site selection now works in practice.