How artificial intelligence is cooling data center operations

This paper explores AI and its impact on data centers, using White Space Cooling Optimization as an example of how AI can be implemented today. Starting with a look at the changing data center landscape, this paper provides a glimpse into what the future holds and examines the critical aspects of thermal cooling, specifically thermal optimization. It focuses on how a data center can easily begin integrating AI into its processes and reviews how a global financial firm is using White Space Cooling Optimization as part of its thermal optimization plan.

This eBook explores how traditional cooling approaches fall short in dynamic environments - and how AI-driven thermal optimization enables more efficient, reliable, and scalable data center operations. Siemens’ White Space Cooling Optimization (WSCO) solution uses real-time data and machine learning to continuously match cooling to IT load, reduce energy consumption, and improve performance across the white space. And in combination with Demand Flow, Siemens can help a data center even further optimize their thermal management for more savings.

Key learnings:

• Why most data centers are overcooled and how this impacts cost and efficiency
• How AI enables real-time cooling optimization and airflow control
• How to improve thermal SLA compliance and reduce hotspots
• Ways to reduce energy consumption and improve PUE
• How AI-driven automation helps address staffing challenges and operational complexity
• Insights into real-world implementation and results from a global data center operator