As AI accelerates data center demand, the industry is rethinking grid access, cost-sharing, and power generation, with speed to power emerging as the critical factor for growth and competitiveness.
While fully functional photonic systems are not yet ready for deployment, ongoing research and development suggest their practical adoption may be imminent.
Microsoft, Amazon, and Meta are partnering with low-carbon concrete producers and adopting sustainable practices, signaling a critical shift toward decarbonizing construction materials to meet ambitious climate goals.
Poorly designed storage systems create bottlenecks that idle expensive GPUs, while optimized, intelligent storage solutions ensure efficient data delivery, reducing delays and costs across the AI pipeline.
EPRIβs Chad Boyer shares insights on SMRs, deployment timelines, and the challenges of reshaping data center energy strategies to meet surging demand.
As spending on AI infrastructure reaches new heights, questions persist about the long-term viability of data center investments and whether OpenAI can meet its lofty expectations.
Data center operators weigh greenfield vs. brownfield projects, balancing sustainability, scalability, and cost-effectiveness for next-gen infrastructure.
Across eight decades, data centers have evolved from room-sized single machines to globally distributed, hyperscale infrastructure. The transformation continues today as AI reshapes power density, cooling strategies, and capacity planning.
With AI campuses demanding concentrated, near-continuous power, the grid is evolving rapidly. Compressed timelines, diversified generation, and record-scale investment are reshaping electricity planning and delivery.
The Labour government now accepts that planning permission for the 90 MW Woodlands Park data center in Buckinghamshire should be quashed, according to a campaign group.