Modernizing data center infrastructure to keep up with AI is as much about navigating regulation and industry partnerships as ...

As AI workloads grow and data centers of all types adapt to support high-density computing, preparing liquid-ready ...

Data center operators are focused on the same things: quickly deploying AI, delivering and using power efficiently and future ...

The rapidly rising power demands of AI. Using data centers to build bigger data centers. Details behind Cadence's Reality Digital Twin solution to support NVIDIA's GB200-based DGX SuperPOD ...

Dominion Energy says its upcoming $11-a-month rate hike is driven by grid upgrades and inflation — not Virginia’s rapidly ...

As rack densities surge and grid headroom tightens, liquid cooling is becoming the backbone of AI data centers. Here we ...

From L.A. to Saudi Arabia to Dallas, BD+C is highlighting three cutting-edge data centers that redefine security, efficiency, ...

While compute devices such as CPUs, GPUs, and XPUs are stealing the limelight in the artificial intelligence (AI) era, there is an increasing realization that powering AI at scale demands new power ...

Power Integrations has announced today a collaboration with Nvidia to build next-generation power delivery systems for AI data centers. The partnership is part of Nvidia’s initiative to convert AI ...

Where will the power come from? As AI workloads explode and U.S. data center power demand races toward 134 GW by 2030, the industry faces a fundamental constraint: the grid ...

The team’s project received partial funding through a U.S. Department of Energy’s ARPA-E COOLERCHIPS grant led by Professor Dereje Agonafer—in collaboration with other universities—to advance the ...

Implementing eco-friendly practices like cutting-edge cooling technologies (such as liquid immersion and free-air cooling), water recycling, and energy-efficient hardware to reduce power consumption ...