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AWS Orders Engineers to Shut Idle EC2 Servers as CPU Shortages Slow Provisioning

Agentic AI workloads have raised CPU demand, forcing AWS to free internal capacity, raise ML prices, upgrade optimization tools, and accelerate a multi-year data-center expansion plan.

Overview

  • In May, AWS leadership told internal teams to identify and turn off underused EC2 instances to free CPU capacity after engineers began reporting multi-day waits for new CPU-backed servers.
  • The shortage is driven by new agentic AI patterns that push more orchestration and tool calls onto CPUs, turning previously low-use virtual machines into a scarce resource.
  • AWS has updated its Compute Optimizer to flag idle or 'ghost' instances by checking two-week CPU and network activity and is enforcing rightsizing and automated shutdowns across teams.
  • Cloud customers are feeling the strain through tighter on-demand and spot supply and repeated price rises for machine-learning capacity in 2026, while contracted reservations have remained largely insulated.
  • Amazon is adding physical capacity over the medium term, citing a recent 3.8 gigawatt power increase and plans to double capacity by 2027, but chip and data-center buildouts mean operational fixes and pricing are the immediate tools to rebalance supply.