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NewsTopic · 创世纪任务计划1 min read·2026-10-09DisconfirmAI Editorial

NVIDIA Commits $1 Billion Over Five Years to Advance US Science and Quantum R&D

NVIDIA announces a $1 billion commitment to support US scientific research, focusing on quantum computing and super intelligence infrastructure under the Genesis Mission.

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Original publication time 2026-10-08 22:31 GMT+8

NVIDIA has announced a $1 billion commitment over the next five years to advance US science, specifically targeting fields critical for national leadership such as quantum computing, healthcare, and energy security.

The announcement was made on October 8 during the "Science: A New Golden Age" event in Washington, D.C., aligning with the Trump administration's Genesis Mission. CEO Jensen Huang stated that the investment aims to put advanced Super Intelligence capabilities in the hands of American scientists to accelerate breakthroughs in medicine, energy, and materials.

The funds will support higher-education research institutions, efforts to advance US quantum computing capabilities, and cloud service providers serving government needs. NVIDIA will also collaborate on Phase 2 Genesis Mission projects involving fusion, accelerator design, and microelectronics. This builds on existing partnerships with national laboratories like Argonne and Los Alamos.

It is important to note that NVIDIA described this as "commitments valued at $1 billion," without disclosing the specific breakdown between cash, hardware, or cloud resources, nor providing a year-by-year disbursement schedule.

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原始出处nvidianews.nvidia.com↗
Topic

创世纪任务计划

【背景】“创世纪任务”(Genesis Mission)是美国特朗普政府于2025年11月启动的国家级科研基础设施计划,旨在通过整合超级算力、海量科学数据与AI模型,加速量子计算、能源及生物医学等领域的突破。

4 steps1 piecesUpdated 2026-10-09 21:19

How it got here

  1. 2025-11-24特朗普签署行政令启动“创世纪任务”,指定能源部主导,要求整合国家实验室资源建立AI科研平台。
  2. 2026-07-22白宫宣布联邦层面投入超50亿美元,NIH启动“生物创世纪计划”,目标在未来5-10年内将生物医学创新速度提高一倍。
  3. 2026-10-08白宫举办AI科学峰会,公布60亿美元总投资包;英伟达承诺五年投入10亿美元,11家科技公司共提供24亿美元算力信用。

What is still unsettled

  • 英伟达等企业的10亿美元承诺中,现金、硬件与云信用的具体构成比例及分年度交付计划尚未公开。
  • 跨部门数据共享机制如何克服隐私与伦理障碍,特别是NIH医疗数据与商业AI模型的结合方式。
  • 美国电网基础设施能否支撑计划所需的巨量算力消耗,核聚变突破的时间表是否与算力需求匹配。
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