British Prime Minister Rishi Sunak is ready to spend 100 million kilos ($130 million) to buy hundreds of pc chips to power synthetic intelligence amid a worldwide scarcity and race for computing power.
The Telegraph reported on Aug. 20 that the United Kingdom goals to construct an “AI Research Resource” by mid-2024 as a part of Sunak’s plan to make the country an AI tech hub.
The authorities is reportedly sourcing chips from makers NVIDIA, Intel and AMD, and it’s understood that the science funding physique UK Research and Innovation — which is main the trouble — is within the late levels of ordering 5,000 NVIDIA graphic processing units (GPUs).
However, whereas $130 million has been allotted to the venture, the funds are reportedly seen as inadequate to match Sunak’s AI hub ambition, which means authorities officers may stress for extra funding in an upcoming November AI security summit.
It follows a current report that many firms are struggling to deploy AI due to out there sources and technical obstacles.
In March, an unbiased review of the nation’s AI computing capabilities stated funding within the house is “seriously lagging” behind worldwide counterparts in the United States and European Union.
At the time, fewer than 1,000 NVIDIA chips have been out there for researchers to practice AI models — a panel really helpful the U.Okay. make out there no less than 3,000 top-quality chips to meet quick wants.
Related: US and China AI-tech standoff shows signs of spreading to other countries
On Aug. 16, S&P Global’s international AI development report discovered that many companies reported they’re not prepared to help AI due to not having sufficient computing power, together with challenges managing knowledge and safety considerations.
We teamed with S&P Global to launch a worldwide survey of #AI practitioners & decision-makers to see what’s driving or hindering their AI tasks.
Today, we revealed the survey’s findings on this new 2023 Global Trends In AI report. Get the thin right here https://t.co/k9W5AQ9hwg
— WEKA (@WekaIO) August 16, 2023
While it’s nonetheless early days for AI, S&P senior analysis analyst Nick Patience stated a deciding issue for who will lead within the house can be determined by who can help AI workloads.
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