In 2026, the competitive edge isn't where your data sits, but how fast it moves. We compare how the top five platforms are ...

Apparently, AI data centers are capable of sucking less (power, that is). A recent UK trial demonstrated that they can adjust their energy demands dynamically without disrupting critical workloads.

Federal researchers estimate that U.S. data centers used about 176 billion kilowatt-hours of electricity in 2023, and that figure could double or triple by the end of the decade as AI expands.

This week’s Current Climate newsletter also looks at how Red Texas is turning green when it comes to energy and building up U ...

As AI labs gorge themselves on compute, data center operators have headed north in search of cheap and plentiful energy.

There's a fundamental shift in what's possible on the factory floor and it's being transformed by embedded AI, agentic ...

Data center energy demand is soaring, driving gigawatt-scale growth in fast-start reciprocating engine power plants worldwide ...

Uber’s HiveSync team optimized Hadoop Distcp to handle multi-petabyte replication across hybrid cloud and on-premise data lakes. Enhancements include task parallelization, Uber jobs for small ...

Hyperscalers like Amazon, Microsoft, Google, and Meta are the true long-term winners, acting as 'AI utilities' with expanding ...

How construction data is reshaping architectural design. The disconnect between what architects envision and what actually gets built is narrowing, thanks to a shift in how construction knowledge ...