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Data Center News > Blog > Regulation & Policy > The increasing demand for AI has caused data center power consumption to skyrocket, creating a bottleneck in AI development
Regulation & Policy

The increasing demand for AI has caused data center power consumption to skyrocket, creating a bottleneck in AI development

Last updated: April 22, 2024 3:41 am
Published April 22, 2024
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The increasing demand for AI has caused data center power consumption to skyrocket, creating a bottleneck in AI development
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Apr 19, 2024 07:00:00


Lately, main know-how firms have been investing closely within the improvement of generative AI instruments, and development initiatives for AI knowledge facilities are underway world wide. Nonetheless, the AI bubble has prompted a surge in knowledge heart energy consumption, and energy provide points have gotten a bottleneck that threatens the expansion of AI, the Monetary Occasions stories.

Booming AI demand threatens world electrical energy provide
https://www.ft.com/content/b7570359-f809-49ce-8cd5-9166d36a057b

In an interview on X (previously Twitter) House in April 2024, businessman Elon Musk expressed the view that while AI development in 2023 was limited by chips, the limiting factor for AI in the next one to two years will be ‘power supply.’ Amazon CEO Andy Jassy also said in January that ‘large-scale language models consume a lot of power, and right now we don’t have enough energy,’ pointing out that energy provide is a problem in AI improvement.

In response to analysis group Dgtl Infra , world funding in knowledge facilities is estimated to exceed $225 billion (about 34.72 trillion yen) in 2024. As well as, NVIDIA CEO Jensen Huang stated that $1 trillion (about 154 trillion yen) price of information heart infrastructure must be constructed within the subsequent few years to assist generative AI, which consumes giant quantities of energy and processes enormous amounts of information.

In response to calculations by the International Energy Agency (IEA) , the electrical energy consumed by knowledge facilities worldwide is predicted to extend to 1,000 TWh by 2026, equal to the overall electrical energy consumption of Japan. Due to this fact, the IEA said that ‘up to date rules and technological enhancements resembling effectivity are important to mitigate the speedy improve in power consumption by knowledge facilities.’

See also  Data Centres and Energy Demand – What’s Needed?

The Worldwide Vitality Company predicts that the electrical energy consumed by knowledge facilities world wide will rival that of Japan by 2026, and that power demand doubled on account of AI and digital currencies will probably be lined by ‘clear’ electrical energy resembling nuclear energy – GIGAZINE

Main know-how firms resembling Amazon, Microsoft, and Google are investing billions of {dollars} in constructing computing infrastructure resembling knowledge facilities to enhance the efficiency of generative AI. Nonetheless, knowledge facilities can’t be constructed wherever. Along with huge tracts of land to deal with giant numbers of servers, chips, and different bodily parts, in addition they require water to chill the computer systems and a secure energy provide. Already, standard places for constructing knowledge facilities, resembling Northern Virginia in the USA, are going through capability limits.

Dominion Energy, a Northern Virginia energy firm, briefly halted new knowledge heart connections in 2022 whereas it analyzed how one can deal with a surge in electrical energy demand. In a regulatory submitting in October, Dominion Vitality stated the elevated demand for electrical energy was a problem because it skilled ‘vital will increase in load from knowledge heart improvement.’

‘There’s at all times been a requirement for knowledge facilities, however by no means earlier than has there been this a lot,’ stated Pankaj Sharma, vice chairman of information facilities at industrial tools maker Schneider Electric , which is working with Nvidia to construct knowledge facilities optimized for AI workloads. ‘Proper now, we do not have sufficient capability to run all the info facilities we’ll want by 2030.’

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Daniel Golding, a former government at Google’s knowledge heart division and CTO of producing consulting agency Appleby Strategy Group , stated, ‘One of many issues that may restrict the deployment of the brand new AI financial system is the place to construct knowledge facilities and how one can get energy. Sooner or later, the truth of the ability grid will get in the best way of AI.’ Of the 50 potential knowledge heart websites that Golding checked out, solely about two may truly be developed, so discovering an acceptable location for constructing an information heart can be a problem.

These energy demand considerations have led knowledge heart builders to show to on-site era and even nuclear power. In 2023, it was reported that Microsoft was contemplating deploying small modular nuclear reactors to chill its knowledge facilities.

Microsoft criticized for sucking up water throughout droughts and utilizing it to coach AI, whereas Microsoft begins contemplating small nuclear reactors as an influence supply for knowledge facilities – GIGAZINE



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