Demand for high-bandwidth memory (HBM) and AI-grade DRAM is outpacing supply, forcing enterprises to reprioritize capital allocation across compute and storage tiers. Spot pricing for GPU memory modules surged 18–24% year-to-date, while generic server DRAM remains depressed, creating a two-tier pricing regime that disrupts traditional server refresh cycles.
CIOs are now forced to make hard tradeoffs: pay premium rates for new AI accelerators, bid for secondary-market cache, or defer non-urgent inference workloads. The shortage signals that chip capacity is the real constraint in 2026, not model availability or software engineering.