Forbes contributors publish independent expert analyses and insights. The author of many tech books, Michael Ashley covers AI and Big Data. Leading experts say yes, only this time it’s a high-stakes ...

In the USA, AI data centers will need around 20 to 30 gigawatts (GW) of combined power by late 2027. 30 GW is about 5% of US average current power generation capacity and 2.5% of China’s. 30 GW would ...

Texas Instruments Inc. (TI) announced several power management devices and a reference design to help companies meet AI computing demands and scale power management architectures from 12 V to 48 V to ...

Data centers for artificial intelligence, like one being built in Virginia, will place stress on existing power grids and water supply across the country, researchers say. Getty Images/iStock Photo On ...

Distinguished delegates, colleagues and friends, Writers and futurists have long echoed Alvin and Heidi Toffler’s idea that “the future arrives too fast…and in the wrong order.” Today, we know, the ...

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 ...

AI is transforming industries, fueling innovation, and addressing some of society’s most urgent challenges. From humanoid robotics to drought management, AI’s promise can feel boundless. Yet as demand ...

Rising infrastructure costs and mounting capital constraints are deflating the AI boom. The hyperscalers can’t solve their computing problems fast enough, and that’s creating a rare arbitrage ...

SAN FRANCISCO, Oct 22 (Reuters) - Google said it has developed a computer algorithm that points the way to practical applications for quantum computing and will be able to generate unique data for use ...

The shortage is a lucrative opportunity - but the window is brief AI computing workloads could consume around 500 terawatt-hours annually by 2027 - about twice the U.K.'s total electricity consumption ...