Eaton said tht the new collaboration aims to address growing market demand by delivering reliable, grid-independent energy ...

With AI workloads rising and grid delays mounting, the examples of Siemens Energy-Eaton and Compu Dynamics illustrate a ...

As artificial intelligence (AI) continues to shape the digital landscape, conversations around the future of traditional data centers are becoming more urgent. Originally built for simpler ...

Traditional CPUs may be excellent at sequential processing, but as a result, they’re far too slow for many AI models to perform at an optimum level. All this means that AI data centers must be packed ...

To satiate the power demands of data centers using AI, engineers are turning to gallium-nitride-based high-voltage solutions.

Here are some key takeaways from our discussion. AI investment is accelerating, but traditional data center infrastructure is struggling to keep up. Unlike conventional IT workloads, AI tools are ...

6. Rushing Cloud Migration: The excitement around the “cloud promise,” such as improved scalability or flexible agility, ...

How AI's growing demands are disrupting the stability of traditional data centers, forcing them to adapt rapidly to handle higher power and cooling requirements Data centers have always been highly ...

The new Edged data center, at 2835 Bilter Road, will save hundreds of millions of gallons of water each year compared to traditional data centers because it will not draw in any water from the ...