How Artificial Intelligence is Cooling Data Center Operations

Explore how data centers can easily and successfully implement AI-driven technologies into their operations with Siemens’ WSCO thermal cooling solution.

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