Case Study: Transforming Existing University Data Centers to Meet the Demands of AI & Machine Learning

•  Evaluating how universities are adapting legacy data centers to support emerging AI research and increasingly compute-intensive workloads
• Identifying the power, cooling, and infrastructure upgrades required to enable liquid cooling and next-generation compute technologies
• Developing phased retrofit strategies that account for long procurement lead times, capital planning cycles, and future capacity requirements

Speakers:

Joel Nickel

Head of Mission Critical

Shawmut Design & Construction