Supply chain troubles can delay build-outs of the best-designed AI data centers, but executives can mitigate the risk.

The overwhelming contributor to energy consumption in AI processors is not arithmetic; it’s the movement of data.

SC25 highlighted a new phase for hyperscale AI: coherent Arm–NVIDIA fabrics, liquid-cooling standardization, and rapidly ...

AMD has scored some big data center customers recently, including a 6-gigawatt deal with OpenAI and a plan to provide Oracle ...

The ABI score of 47.6 for October indicates that fewer firms reported declining billings this month than in September, when ...

DatacenterDynamics is the world's largest data center publication. We publish news, magazine features, and podcasts about the ...

As generative AI and high-performance computing (HPC) workloads continue to surge, data-center architecture is entering a new ...

As investors and operators reassess their bets, technology providers will be forced to seek new architectural and financial ...

Fission Forward is a new periodic feature tracking the nuclear projects reshaping AI-era power - from brownfield restarts to ...

What if the very backbone of our digital lives, the systems that power your favorite streaming platform, enable instant online purchases, and fuel the rise of artificial intelligence, was quietly ...

If executed well, China can provide the world practical lessons on how to run AI on renewable power — and make intelligence ...

TrendForce has identified 10 key technology trends that will define the tech industry's evolution in 2026. The ...