Enterprise AI infrastructure teams cannot secure adequate GPU/CPU capacity for agentic AI deployments in 2027

Data center operators and enterprise AI teams face critical hardware shortages as agentic AI workloads demand exponentially more server CPU resources than traditional inference. AMD EPYC Venice chips are already sold out through 2027, forcing companies to either delay AI projects, overpay for alternative suppliers, or architect suboptimal solutions. Current supply chains cannot meet the surge in demand, leaving enterprises unable to execute their AI roadmaps on schedule.