As AI reshapes industries, data centers have evolved into critical drivers of innovation, sustainability, and customer trust.

While training has been the focus, inference is where AI's value is realized. Training clusters need large amounts of power.

As AI continues its rapid expansion across industries, new reports from JLL, Dell'Oro and UK-based Knight Frank explain how ...

More efficient AI training approaches could reduce data center power requirements, make AI modelling more accessible and increase data storage and memory demand.

Artificial intelligence and increasing operational demand have positioned data centers at the center of many industry needs.

Data, of course, plays a key role in fueling AI, which performs most effectively and delivers the greatest value when fed ...

CEO Andy Jassy said growth at the e-commerce and cloud service giant has been hampered by bottlenecks in computing and power ...

We’re not yet participating in the cloud-based AI data-center market in a meaningful way,” Holthaus admitted. “We have lear ...

Vance Peterson, Solutions Architect for Schneider Electric, provides insights on how data centers can remain resilient, ...

Despite lower-than-expected Azure growth, Microsoft's AI and cloud services remain robust. Check out my recommendation for ...

The data center market continues to grow in 2025 and beyond, driven in part by AI applications. Energy sources, including nuclear, are key to ...