UK to spend $130M on AI chips amid scramble to purchase up computing energy

by Jeremy

British Prime Minister Rishi Sunak is about to spend $130 million (100 million kilos) to purchase 1000’s of laptop chips to energy synthetic intelligence, amid a worldwide scarcity and race for computing energy.

The Telegraph reported on Aug. 20 that the UK goals to construct an “AI Analysis Useful resource” by mid-2024 as a part of Sunak’s plan to make the nation an AI tech hub.

The federal government is reportedly sourcing chips from makers NVIDIA, Intel and AMD — and it’s understood that the science funding physique UK Analysis and Innovation — which is main the hassle — is within the late phases of ordering 5,000 NVIDIA graphic processing models (GPUs).

Nevertheless, whereas $130 million has been allotted to the venture, the funds are reportedly seen as inadequate to match Sunak’s AI hub ambition, that means authorities officers may strain for extra funding in an upcoming November AI security summit.

It follows a latest report that stated many corporations are struggling to deploy AI resulting from out there sources and technical obstacles.

In March, an impartial assessment of the nation’s AI computing capabilities stated funding within the house is “critically lagging” behind worldwide counterparts in the USA and European Union.

On the time, lower than 1,000 NVIDIA chips had been out there for researchers to coach AI fashions — a panel really useful the U.Ok. make out there no less than 3,000 top-quality chips to fulfill fast wants.

Associated: US and China AI-tech standoff exhibits indicators of spreading to different international locations

On Aug. 16, S&P International’s international AI pattern report discovered that many corporations reported they’re not able to help AI, resulting from not having sufficient computing energy, together with challenges managing information and safety issues.

Whereas it is nonetheless early days for AI — S&P senior analysis analyst Nick Endurance stated a deciding issue for who will lead within the house will probably be determined by who can help AI workloads.

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