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英伟达向英国人工智能安全研究投入2.5亿美元算力Nvidia commits $250M of compute to UK AI safety research

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英伟达位于加利福尼亚州圣克拉拉的总部 图片来源:CoolcaesarNvidia headquarters in Santa Clara, California Credit: Coolcaesar

英伟达将在五年内向英国的自主性安全研究投入2.5亿美元,形式为算力访问而非现金。提供商选择和商业条款尚未商定。

Nvidia has committed $250M over five years to UK agentic safety and security research, in the form of compute access rather than cash. Provider selection and commercial terms have still to be agreed.

英伟达已承诺在未来五年内向英国人工智能安全研究投入2.5亿美元。这项承诺是算力访问,而非现金,且均尚未签约。

Nvidia has committed $250M to British AI safety research over the next five years. The commitment is compute access, not cash, and none of it has been contracted.

该公司表示,这相当于每年5000万美元的算力,通过总部位于英国的英伟达云合作伙伴提供,基础设施托管在英国。

It works out at $50M of compute a year, the company said, delivered through UK-based Nvidia Cloud Partners with the infrastructure hosted in Britain.

英伟达表示,提供商选择、技术架构和商业条款都还有待商定。这笔捐赠的价值估算为2.5亿美元,而非以该价格定价。

Nvidia says provider selection, technical architecture and commercial terms are all still to be agreed. The donation is valued at $250M rather than priced at it.

大部分算力将提供给更广泛的英国安全界。一部分将分配给牛津大学的BOLD、伦敦大学学院的SOFAIR以及帝国理工学院,这些机构将致力于安全工程和机器人技术。

Most of the compute goes to the wider UK safety community. A proportion goes to BOLD at Oxford, SOFAIR at UCL, and Imperial College London, which will work on safety engineering and robotics.

美国科学界获得的资金是其四倍。五天前,英伟达承诺在五年内向美国大学、量子计算和政府云服务商投入10亿美元。

American science got four times as much. Nvidia committed $1B over five years to US universities, quantum computing and government cloud providers, five days earlier.

黄仁勋表示,能力与安全必须同步发展,并补充说,英国为他所称的这项至关重要的工程挑战带来了世界一流的科学严谨性。

Capability and safety must advance together, Jensen Huang said, adding that the UK brings world-class scientific rigour to what he called an essential engineering challenge.

时机堪称巧妙。黄仁勋周二在巴黎表示,英伟达将在的一周内宣布20亿美元的欧洲投资计划,伦敦和柏林紧随其后。

The timing is a tour. Huang was in Paris on Tuesday saying Nvidia would announce $2B of European investments within a week, with London and Berlin to follow.

目前尚不清楚这2.5亿美元是否计入这20亿美元之中,这两个数字是如何构成的也不得而知。英伟达尚未公布其过去一年在欧洲投入的8亿美元的明细。

Whether this $250M counts towards that $2B is not stated, and nor is it clear how either figure is constructed. Nvidia has not published a breakdown of the $8B it says it has put into Europe over the past year.

AMD抢先了一步。在6月的伦敦科技周上,该公司承诺在五年内提供高达20亿英镑的资金,其中包括对英国初创企业的直接投资,而英伟达当时没有做出任何承诺。

AMD got there first. At London Tech Week in June it pledged up to £2B over five years, including direct stakes in British startups, while Nvidia pledged nothing.

这种结构值得注意。英伟达资助的是对其自身云合作伙伴销售并运行在其自身芯片上的算力的访问权限。

The structure is worth noting. Nvidia is funding access to compute sold by its own cloud partners and running on its own chips.

尽管如此,英国大臣们还是对这笔资金表示欢迎。人工智能大臣卡尼斯卡·纳拉扬称其为对英国研究的信任投票,并将其与英国的二十国集团主席国身份联系起来,商业大臣乔纳森·雷诺兹则表示,这将帮助英国研究人员处于领先地位。

Ministers welcomed it anyway. AI minister Kanishka Narayan called it a vote of confidence in British research and tied it to Britain’s G20 presidency, and business secretary Jonathan Reynolds said it would help British researchers lead.

这项工作本身很具体。它涵盖安全智能体、开放模型安全和威胁缓解,使用英伟达自己的OpenShell运行时及其Sentry参考设计。

The work itself is specific. It covers secure agents, open-model security and threat mitigation, using Nvidia’s own OpenShell runtime and its Sentry reference design.

这建立在现有基础之上。布里斯托尔的Isambard-AI超级计算机已经运行在英伟达Grace Hopper芯片上,相关研究成果旨在为整个计算生态系统的安全防护提供参考。

It builds on existing ground. Bristol’s Isambard-AI supercomputer already runs on Nvidia Grace Hopper chips, and the findings are meant to inform safeguards across the wider computing ecosystem.