As data centers face increasing strain on utility grids, operators are exploring alternative power sources to meet the demands of high-density, AI-driven workloads. This post breaks down six on-site power solutions—from natural gas generators to solar and SMRs—evaluating each option’s cost, reliability, sustainability, and regulatory challenges. Whether you’re planning a new facility or rethinking resiliency, this guide offers a clear snapshot of what’s viable now—and what’s still emerging.

As high-density IT deployments increase, many legacy data centers are struggling to keep pace—not because of space or IT limitations, but due to cooling constraints. This article examines why simply adding more cooling equipment isn’t always viable, explores the common causes of stranded capacity, and outlines practical strategies to improve thermal efficiency and unlock headroom—without overhauling your infrastructure.

 With the rise of AI and the construction of high-wattage data centers, airflow management has become a critical concern—not just in the white space, but also in supporting infrastructure such as PDU rooms, UPS rooms, and battery rooms. This article highlights the importance of airflow management in these auxiliary spaces and outlines steps to take when overheating conditions arise.

As AI workloads surge, the power—and heat—inside every rack is growing fast. Here’s what that means for your facility, and how to get ahead of the cooling curve.

Dr. Jack is Back and this time he is de-mystifies delta-T.

Discover the top 5 trends reshaping data centers in 2025, from rising rack densities to cooling challenges and local power sourcing that we learned from DCW.

Commemorate International Data Center Day with a playful poem in the style of Dr. Seuss

In our latest article, we break down the four essential Delta-Ts, what they reveal about cooling performance, and why periodic measurement is the only way to ensure your facility is operating as designed. Learn how Delta-T monitoring helps prevent inefficiencies, optimize cooling, and reduce operational costs.

Learn how monitoring and improving Server Delta-T can enhance cooling efficiency, reduce energy waste, and prevent equipment failures in data centers.

This article explores how measuring and managing the temperature difference between supply air and server inlets can improve data center cooling efficiency, reduce energy costs, and enhance airflow management.

Learn how managing the temperature difference between server exhaust and CRAC/CRAH return air can enhance cooling efficiency, prevent energy waste, and improve data center airflow management.

This article explores how measuring and optimizing Delta-T across CRAC and CRAH units can improve data center cooling efficiency, reduce energy costs, and enhance airflow management.

In a data center, keeping the equipment cool is crucial to maintaining uptime and efficiency. But how do you know if your cooling system is working as it should? That’s where Delta-T comes in—a simple metric that helps you measure how well your cooling system is performing. In this article, we’ll explain Delta-T, break down the four types, and show you how managing airflow can boost your cooling efficiency.

When a cooling system fails in a data center, every second counts. The rise in temperature can quickly lead to overheating, equipment damage, and costly downtime. A swift and calculated response is critical to minimizing these risks. Here’s a step-by-step guide on what actions to take if your cooling systems suddenly stop working.

Learn the truth behind common data center cooling myths that can lead to inefficiency and higher costs. This article debunks popular misconceptions—such as the belief that lower temperatures always mean better performance—and offers practical strategies for optimizing cooling systems. Discover how right-sizing, alternative cooling methods, and regular maintenance can improve efficiency and reduce operational expenses.

Learn key strategies for forecasting and managing cooling costs in data centers, including how to account for seasonal changes, energy price fluctuations, operational growth, and the benefits of investing in energy-efficient technologies. Discover smart budgeting practices that can help optimize cooling expenses while maintaining operational efficiency.

"What if you could predict a cooling failure before it caused downtime? Discover how machine learning is transforming data center resiliency and helping operators prevent thermal runaway."

Learn how scripted cooling system shutdowns can help data center operators test resiliency, predict failure windows, and train staff—without risking uptime or equipment. Discover how Purkay Labs' safe, data-driven approach ensures your cooling redundancy can handle today’s high heat loads.

When cooling systems fail in a data center, immediate action is critical to prevent costly damage. Learn the essential steps to take during a cooling emergency to keep your systems safe.

Looking for immediate energy savings in your data center? Check out these five quick wins for improving cooling efficiency—no major overhauls required!