Why do energy-rich nations hold a decisive moat in the AI race? Model multi-gigawatt compute demands, high-density GPU cooling loads, modular nuclear/hydro baseloads, and regional grid resilience.
Modern artificial intelligence training clusters require massive, continuous gigawatts of uninterrupted electricity. The simulator models power mix constraints: nuclear, hydro, and peakers provide full capacity factor, while solar contributes fifteen percent firm load. Cooling adds up to forty-five percent overhead depending on temperature, pushing total facility draw above five thousand megawatts. Adjusting inputs or choosing the Nordic Hydro preset reveals how cold climates and baseload cut cooling penalties and eliminate bottlenecks.