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NVIDIA and Oracle to Build Largest AI Supercomputer for US Government, 10 Points

Santa Clara (California) / Austin (Texas) / Washington DC / New York

ЁЯТ░ $100 Billion+ AI Leap: NVIDIA & Oracle Power US Department of Energy’s (DOE) 100,000-GPU Supercomputer to Drive US Scientific and Economic Dominance


1. Landmark US AI Investment

  • $100 billion+ infrastructure boost through NVIDIA and OracleтАЩs collaboration with the US Department of Energy (DOE).

  • Aimed at creating the largest AI supercomputer in US history.

  • Project to transform federal R&D efficiency and drive economic-scale AI innovation.


2. Core Systems: Solstice & Equinox

System Name GPU Count Performance (AI) Location Availability
Solstice 100,000 NVIDIA Blackwell GPUs ~2,000 exaflops Argonne National Lab 2025
Equinox 10,000 NVIDIA Blackwell GPUs ~200 exaflops Argonne National Lab H1 2026
  • Both interconnected via NVIDIA networking.

  • Total performance: 2,200 exaflops тАУ a global record in public-sector AI computing.


3. Financial Impact & Strategic Value

  • Massive R&D acceleration: Enables faster breakthroughs in healthcare, energy, and national security.

  • Public-private investment synergy: Combines DOE funding with industry capital from NVIDIA and Oracle.

  • Expected to save billions in research costs through automated, agentic AI workflows.

  • Estimated to generate $500B+ in cumulative value for U.S. scientific and industrial sectors over the next decade.


4. Technological Infrastructure

  • Built on NVIDIAтАЩs Blackwell Architecture тАУ worldтАЩs most advanced GPU system.

  • AI Software Stack:

    • NVIDIA Megatron-Core for large model training.

    • NVIDIA TensorRTтДв for inference optimization.

  • Integrated with Oracle Cloud Infrastructure (OCI) for sovereign, scalable AI workloads.


5. Agentic AI for Public Research

  • Focus on developing тАЬAgentic ScientistsтАЭ тАФ AI models that autonomously reason, analyze, and propose experiments.

  • Targets open science accessibility тАФ available to thousands of U.S. researchers.

  • Will connect to DOE experimental hubs like Advanced Photon Source for real-time data processing.


6. Leadership Statements

  • Jensen Huang (NVIDIA CEO):

    тАЬAI is the most powerful technology of our time тАФ science is its greatest frontier.тАЭ

  • Chris Wright (U.S. Secretary of Energy):

    тАЬWinning the AI race requires creative partnerships тАФ this is AmericaтАЩs powerhouse for innovation.тАЭ

  • Clay Magouyrk (Oracle CEO):

    тАЬThis partnership delivers sovereign AI power to tackle the nationтАЩs toughest challenges.тАЭ


7. National & Economic Implications

  • Strengthens U.S. AI sovereignty and computational leadership globally.

  • Enhances energy security, health research, and defense analytics.

  • Positions Argonne National Laboratory as a global AI hub, fostering job creation and STEM innovation.


8. Policy & Partnership Framework

  • Built under the DOEтАЩs public-private AI partnership model.

  • Supports the Trump AdministrationтАЩs initiative to reindustrialize AmericaтАЩs computing edge.

  • Encourages private AI sector collaboration for federally funded R&D.


9. Timeline & Milestones

Phase Key Event Expected Completion
Project Launch DOE, NVIDIA & Oracle partnership announcement Oct 2025
Solstice Deployment 100,000 GPUs operational Mid-2025
Equinox Deployment 10,000 GPUs operational H1 2026
Research Access Rollout Thousands of scientists onboarded 2026 onward

10. Strategic Outlook

  • Marks a new era of Agentic AI science тАФ from molecular simulation to climate modeling.

  • Lays foundation for next-generation quantum-AI hybrid computing.

  • Expected to fuel exponential returns on public R&D investment within 5тАУ7 years.


Disclaimer тАУ The Profit India

This article is for informational and analytical purposes only. It does not constitute investment advice or official policy commentary. Financial figures are based on available data and projections as of October 2025. Readers are encouraged to verify independently before drawing conclusions.


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