Meta's engineers have effectively harnessed reinforcement learning to optimize data center cooling systems, achieving a remarkable 20% reduction in energy consumption and 4% in water usage.
Through advanced airflow supply management, Meta’s cooling systems exemplify how leveraging outdoor air with RL can significantly reduce reliance on traditional energy sources while mitigating climate impact.
By addressing the cooling system, which is the second-largest consumer of resources in data centers, Meta strategically aligns its operations with broader sustainability goals.
The integration of RL into cooling systems represents a significant step towards enhancing efficiency, providing immediate gains not just in energy but also in resource conservation.
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