Water consumption by data centers and cryptomining facilities will be the focus of a new data-collection effort launched Friday by the Texas Public Utility Commission. Demand to build new data centers ...

Driven by the artificial intelligence frenzy, Microsoft is internally projecting that water use at its data centers will more than double by 2030 from 2020, including in places that face shortages.

Texas is no stranger to booms. We have ridden waves of oil, gas, petrochemicals and technology, each reshaping the state’s economy and identity. But the boom unfolding now is different. The rapid ...

This is read by an automated voice. Please report any issues or inconsistencies here. The AI-driven boom in data centers is putting growing demands on water in California and the Southwest. New ...

An analysis suggests two Wisconsin data centers could use more energy than all the state's homes combined. The estimate assumes constant power demand, so actual usage may be lower. Three other ...

Oracle has unveiled its latest database offering it claims will enhance agentic AI deployments and help with data sovereignty demands. The Oracle Globally Distributed Exadata Database on Exascale ...

Databases will soon be capable of monitoring their own health, identifying bottlenecks, adjusting configurations, and even rerouting traffic in real time. Generative AI has already had a profound ...

In the race to develop artificial intelligence, tech giants are building data centers that guzzle up water. That has led to problems for people who live nearby. In the race to develop artificial ...

Community driven content discussing all aspects of software development from DevOps to design patterns. If you plan to do database development with Java and MySQL, the first thing you’ll need to do is ...

The 2026 CNBC Disruptor 50 list will be revealed Tuesday, May 19th Data analytics company Databricks is continuing its buying spree, acquiring Neon, which offers cloud-based database software. OpenAI ...

What does it take to deliver superior data services and capabilities in today’s enterprises? With the rise of AI and machine learning (ML)—and their data-heavy workloads—data managers are actively ...