Presentation
Optimizing Data Center Sustainability with AI & Digital Twins
DescriptionThe speaker will introduce a comprehensive approach to optimizing the sustainability of data centers using digital twins and machine learning (ML) techniques. The talk will focus on how the frontiers of digital twins can be extended beyond real-time monitoring and prediction to recommend and control multiple aspects of the data center, like cooling and workload scheduling, enabling enhanced management of data centers. It will discuss how hierarchical multi-agent reinforcement learning can optimize multiple geographically distributed data centers simultaneously and dynamically. At the same time, consortiums like ExaDigiT and benchmark platforms can democratize and enable more involvement by the AI research community to develop their own solutions to advance the sustainability of data centers that are having explosive growth with AI adoption.
Presenter
