Maximize AI Factory Energy Efficiency Through Full-Stack Inference and Training Optimizations

Power consumption represents 40% of the operating expenses for running an AI factory, with performance per watt becoming a critical efficiency metric that directly impacts token costs.

• Power accounts for 40% of the operating expenses (OpEx) to run an AI factory.
• Each watt can be allocated to overhead, data ingestion, training, or generating tokens for customers.
• Most sites are capped at a fixed power level provided by a regional provider.