AI workloads are reshaping data center infrastructure at a pace not seen before. This introduces new operational complexities, particularly for organizations that were not purpose-built for AI.
Yet, with the dynamic environments of today’s data centers, documentation can quickly fall out of sync with the real world. When data becomes inaccurate, everything from planning to troubleshooting to reporting can be impacted.
GPU clusters consume 10 or more times the power of general-purpose servers. Liquid cooling is moving from niche to necessary. Procurement cycles are getting shorter, deployment timelines are getting faster, and the cost of getting infrastructure planning wrong is measured in downtime, stranded capacity, and lost revenue.
Today, if you’re not prepared for AI, you’re already behind.
Closing the AI-readiness gap requires accurate infrastructure data, complete visibility across the physical and virtual environment, and the ability to plan, deploy, and monitor high-density compute at scale. Data Center Infrastructure Management (DCIM) software makes that possible.
This eBook covers the core areas where DCIM software makes an impact: asset lifecycle management, high-density capacity planning and power management, liquid cooling infrastructure modeling, and system integration.