Tag #Gan

What are the most impactful near-term solutions to mitigate the growing energy consumption of AI computing, considering both technological and geopolitical factors?

The environmental impact of AI computing's energy demands is substantial, with data centers currently consuming 1% of global electricity and contributing 0.6% of greenhouse emissions, figures projected to rise significantly by 2030. New material innovations like Gallium Nitride (GaN) semiconductors offer efficiency gains up to 50% compared to silicon, potentially cutting global CO2 emissions by 2.6 gigatons annually by 2050. However, GaN's scalability is hampered by manufacturing limitations and supply chain issues, particularly gallium's concentrated production in China.