Optimizing Data Centers for AI Workloads

This chapter focuses on the transformative impact of AI workloads on the data center industry, emphasizing the need for enhanced power management systems and cooling solutions. It discusses critical metrics like Power Utilization Effectiveness (PUE) and Power Capacity Effectiveness (PCE), highlighting their importance in measuring energy efficiency. The conversation also touches on the necessity to modernize infrastructure, optimize resource allocation, and address talent shortages in order to meet the demands of a rapidly evolving landscape.