Data centers accounted for about 1.5 percent of global electricity consumption in 2024, an amount expected to double by 2030 ...

AI-powered virtual assistants such as ChatGPT use more energy than traditional search engines. According to the International Energy Agency (IEA), a single ChatGPT request requires ten times more ...

AI’s skyrocketing energy use could be solved by… more AI. That's according to a new report from the International Energy ...

By the end of the decade, the IEA said, more U.S. electricity will go into data processing than in all the country's heavy manufacturing combined.

Another approach to estimating AI’s environmental footprint is to add up the energy use of the infrastructure used to build ...

At a panel discussion during SXSW, industry leaders made the case for maximizing our data and energy potential to “win the AI race” ...

In the initial stages, crypto mining was somewhat costly due to the high consumption of electricity and expensive equipment.

Electricity demand from AI-driven data centres is set to more than double to around 945 terawatt hours by 2030.

Trump has signed executive orders that will see the increase in the production of coal, which in turn will be used to power ...

We need a lot more computing power … the time of robots has arrived … “the largest industry of all” … Q-Day is here … Eric Fry and the AI “space race” So said Nvidia CEO Jensen ...

Consider AI ’s appetite for energy first. The International Energy Agency ( IEA) reckons that electricity consumption by data ...

However, this percentage is likely to go up as more companies, governments and organisations use AI to drive efficiency and productivity. Related AI showdown! Alibaba claims its new model beats ...