UK to spend $130M on AI chips amid scramble to buy up computing power

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British Prime Minister Rishi Sunak is ready to spend $130 million (100 million kilos) to purchase hundreds of laptop chips to energy synthetic intelligence, amid a world 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 country 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 units (GPUs).

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

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

In March, an impartial review of the nation’s AI computing capabilities mentioned funding within the area is “critically lagging” behind worldwide counterparts in the United States and European Union.

On the time, lower than 1,000 NVIDIA chips have been out there for researchers to coach AI models — a panel advisable the U.Okay. make out there at the very least 3,000 top-quality chips to satisfy fast wants.

Associated: US and China AI-tech standoff shows signs of spreading to other countries

On Aug. 16, S&P World’s international AI development report discovered that many companies reported they’re not able to assist AI, resulting from not having sufficient computing energy, together with challenges managing knowledge and safety issues.

Whereas it is nonetheless early days for AI — S&P senior analysis analyst Nick Persistence mentioned a deciding issue for who will lead within the area can be determined by who can assist AI workloads.

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