AI.ENERGY

Energy Analysis Methodologies

A critical assessment of PUE and complementary metrics in the context of high-density AI workloads.

PUE Component Breakdown
Comparing energy distribution across different data center types
  • IT Equipment
  • Cooling
  • Power Systems
  • Lighting
PUE Limitations

Inverse Relationship

PUE can worsen when IT load is reduced, creating perverse incentives to run inefficient hardware.

Ignores Productivity

Fails to capture the useful work or "intelligence" produced per watt of energy consumed.

Cooling Bias

Can be misleading when comparing air vs. liquid cooling technologies due to different energy profiles.

New Metrics
WUEWater Usage Effectiveness
CUECarbon Usage Effectiveness
IPWIntelligence Per Watt