AI News 06月09日 21:32
UK tackles AI skills gap through NVIDIA partnership
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英国正通过与英伟达等行业巨头的合作,巩固其在欧洲人工智能领域的领先地位,重点解决技能差距等问题。2024年,英国在人工智能初创企业融资和总体私人投资方面持续超越欧洲大陆的竞争对手,自2013年以来,英国人工智能企业已吸引了220亿英镑的私人投资。英国政府与英伟达合作,计划在英国建立专门的AI技术中心,提供人工智能、数据科学和加速计算方面的实践培训。金融领域也将受益于金融行为监管局推出的AI驱动沙盒,促进金融领域的安全AI实验。此外,英国还关注技术自主,强调对本地基础设施、开放标准和技术的投资,以保持竞争力。

🧠 英国在人工智能领域持续吸引大量投资,自2013年以来已吸引220亿英镑的私人资金,表明投资者对英国人工智能行业充满信心。

💡 英伟达计划在英国部署10,000个NVIDIA Blackwell GPU,并建立AI技术中心,提供人工智能、数据科学和加速计算方面的实践培训,以解决技能短缺问题。

🏦 金融行为监管局推出AI驱动沙盒,允许在银行业和金融业中更安全地进行AI实验,NayaOne提供基础设施,英伟达提供技术支持,促进金融创新。

🌍 英国强调技术自主,呼吁加大对本地基础设施、开放标准和技术的投资,以增强长期竞争力,并保持在人工智能领域的领先地位。

The UK is cementing its position as Europe’s AI powerhouse through partnerships with players like NVIDIA to tackle issues like the skills gap.

The UK continued to outpace continental rivals both in freshly funded AI startups and overall private investment throughout 2024. Since 2013, UK AI ventures have managed to attract £22 billion in private funding, suggesting investors are continuing to bet on the home of industry giants like DeepMind, Stability AI, and Wayve.

Research unveiled during the recent London Tech Week showed something many tech observers have long suspected: regions blessed with robust AI and data centre infrastructure tend to enjoy stronger economic growth across the board. The analysis, by Public First, suggested even modest bumps in AI data centre capacity could pump nearly £5 billion into the nation’s coffers. More ambitious expansion – doubling current access levels, for instance – might deliver annual economic windfalls approaching £36.5 billion.

Cloud provider Nscale chose London Tech Week to pledge to deploy 10,000 NVIDIA Blackwell GPUs in the country by late 2026. Not to be outdone, cloud outfit Nebius revealed plans for its first AI factory in the UK which is set to bring a further 4,000 NVIDIA Blackwell GPUs online—providing much-needed computational muscle for research bodies, universities, and public services including our perpetually cash-strapped NHS.

But having the hardware is only half the battle. As anyone in tech recruitment will tell you, finding people who can actually take advantage of it remains a challenge.

NVIDIA is throwing its considerable weight behind the UK government’s national skills push, with plans for a dedicated AI Technology Center on British soil. This centre promises hands-on training in AI, data science, and the increasingly critical field of accelerated computing.

“A new NVIDIA AI Technology Center in the UK will provide hands-on training in AI, data science and accelerated computing, focusing on foundation model builders, embodied AI, materials science and earth systems modeling,” explained NVIDIA.

The financial sector – the UK’s crown jewel – stands to benefit too. A new AI-powered sandbox from the Financial Conduct Authority will allow for safer experimentation with AI in banking and finance, with NayaOne providing infrastructure and NVIDIA supplying the technological backbone.

Sumant Kumar, CTO for Banking & Financial Markets at NTT DATA UK&I, said: “In a sandbox, every action leaves a mark. This supercharged sandbox may help banks get to a viable AI proof-of-concept faster, but it doesn’t reduce their regulatory obligations. If anything, it adds new layers of responsibility. As soon as a firm begins developing models in the sandbox, it needs to be ready to explain how they work, why they produce certain outcomes, and how they’ve been built.

“In financial services, the main bottleneck is often about ensuring the right governance is in place. The FCA will still expect clear documentation and strong controls around data provenance and auditability – even in a controlled environment.

“That’s why this is such an important opportunity. For firms, it’s a chance to build and refine the internal capabilities that will let them scale AI responsibly. For the government, it’s a chance to maintain the UK’s competitive edge and advance innovation while promoting balanced regulation and consumer safeguards. Those who approach the sandbox with the right structure will be in the best position to move quickly and safely when it comes to deployment.”

Barclays Eagle Labs is opening an Innovation Hub in London that could serve as a launching pad for promising AI and deep tech startups. Those who make the cut will gain a pathway into NVIDIA’s Inception programme, unlocking access to cutting-edge tools and targeted training that might otherwise remain frustratingly out of reach.

Mark Boost, CEO of Civo said: “This feels like a real step forward. We’ve spent years talking about being a leader in AI, but investing in compute infrastructure, developer training, and serious R&D is how we actually start to deliver it.

“NVIDIA’s AI Technology Center is an important initiative. Giving UK developers better access to hands-on training in accelerated computing, AI engineering and model development will help close critical skills gaps and support the next generation of homegrown talent.

Boost also touched on a point that’s increasingly occupying minds in Whitehall and boardrooms alike: technological sovereignty.

“Building long-term resilience in the UK means looking carefully at our reliance on external compute. As the AI stack becomes more strategic, the UK should be complementing global partnerships with greater investment in local infrastructure, open standards, and technologies we can help shape. That’s what keeps us competitive—staying flexible and able to shape our own path.”

Rather than just government announcements or corporate PR, this UK AI initiative with NVIDIA appears to promise genuine coordination between public institutions, industry heavyweights, and educational bodies. The focus on both immediate needs and longer-term foundations suggests lessons have been learned from previous tech booms.

Whether this approach delivers the projected economic windfall remains to be seen. But, for once, the UK seems to be playing to its strengths—combining world-class research institutions, a vibrant financial sector, and pragmatic regulation with the computational muscle and skills development needed to turn AI potential into economic reality.

(Photo by Charles Postiaux)

See also: Anthropic launches Claude AI models for US national security

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