Environmental Impact of AI Data Centers: Challenges and Solutions

This comprehensive study analyzes the environmental impact of data centers specifically used for AI training and inference. The research provides detailed measurements of energy consumption and carbon emissions from major AI computing facilities.

The authors present innovative solutions for reducing the environmental footprint of AI infrastructure, including advanced cooling systems, renewable energy integration, and workload optimization strategies.

The paper also introduces new metrics for measuring and comparing the environmental efficiency of different AI computing architectures and deployment strategies.