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Energy-efficient AI & Carbon Tracking

sustainabilityenergycarbonteam:mido/infra
Assess

Why?

  • Large AI workloads drive significant energy consumption; sustainability is both a cost and reputational concern.
  • Tracking and optimizing carbon impact is becoming a requirement for procurement and customer contracts.

What?

  • Instrument energy use at the rack and job level; include carbon estimates in cost calculations.
  • Evaluate energy-efficient hardware, scheduling strategies (time-of-day, spot capacity), and model efficiency techniques (quantization, pruning).
  • Report sustainability metrics in regular infra dashboards and procurement decisions.