As AI and other technologies surge in popularity, so has the demand for data centers to power global digital transformation. However, a greater demand for data centers also introduces demand for ...

Enterprise AI workloads require infrastructure designed for large-scale data processing and distributed computing.

As data centers expand beyond the periphery and into public view, facilities must transition from secluded and secretive into ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. I sometimes wonder whether people outside our field grasp ...

Cooling‑first modular architectures combined with liquid-cooled platform design and integration accelerate the deployment of high‑density AI environmentsPLANO, Texas and AUSTIN, Texas, April 28, 2026 ...

The undying thirst for smarter (historically, that means larger) AI models and greater adoption of the ones we already have has led to an explosion in data-center construction projects, unparalleled ...

Data centers sit at the center of our digital world—critical infrastructure powering cloud services, online transactions and the ever-expanding digital economy. As organizations accelerate ...

Artificial intelligence (AI) is stretching compute infrastructure well beyond what traditional enterprise data centers were designed to handle. Modern AI training requires massively parallel compute, ...

Mission critical data centers have always been designed with reliability at the forefront. Downtime isn’t inconvenient; it is costly and can be catastrophic. And as demand for these facilities ...

In an effort to meet the rising energy demands of data centers, engineers at the University of California San Diego have developed a new chip design that could improve how graphics processing units ...