Exponential Power Demand

AI workloads require unprecedented computational power, creating bottlenecks in data center infrastructure and driving massive energy consumption increases.

AI Data Centers Face Critical Power Challenge

Thermal Management Crisis

High-density AI processors generate extreme heat, requiring sophisticated cooling solutions that consume 40% of total data center power capacity.

Power Efficiency Imperative

Traditional silicon-based power systems cannot handle AI's power density requirements efficiently, creating urgent need for SiC solutions.

AI Data Centers Save Billons With Silicon Carbide Technology

15% Power Cost Reduction

  • Cooling consumes 40% of AI data center power

  • SiC reduces cooling requirements by 35%

  • Overall power efficiency improves by 15%

Result: $18B annual savings across 124 gigawatts of new AI compute capacity by 2030

20% System CAPEX Savings

  • Smaller footprint requirements

  • Higher operating temperature tolerance

  • Reduced cooling infrastructure needs

Result: $248B savings in power system CAPEX across projected AI data center buildout


Reduced Power Plant Construction

  • 15% reduction in total power demand

  • 18 fewer gigawatt-scale power plants needed

  • $2.5B average construction cost per plant

Result: $46B savings in power generation infrastructure CAPEX