Enterprise server prices are up 8-5%, RAM-heavy builds are up 15-25%, and SSD lead times now run three to six months.
That repricing has landed in the middle of a planning cycle already complicated by AI. Next-generation GPU racks draw close to 120 KW each — roughly 10 times the power density of traditional racks — which means adding AI capacity on-premises is increasingly a facilities project, not a hardware purchase. Deloitte’s 2026 US Healthcare Outlook found that 80% of healthcare executives said regulatory and policy factors will influence their strategies, adding a second variable to any multiyear commitment.
This new whitepaper examines how these shifts change the financial case for cloud migration and how to build a business case that holds up when the inputs keep moving.
Inside the report:
- How to pressure-test on-premises versus cloud total cost of ownership when hardware prices and lead times are volatile
- Where cloud-enabled AI produces measurable value across cost, staff productivity, resilience and agility
- How an illustrative five-year hospital migration model arrives at $120 million in projected savings and an 82% return
- Which market shifts belong in scenario planning, from data center tax incentive rollbacks to the $50 billion Rural Health Transformation Program