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NVIDIA and Oracle to Build US Department of Energy’s Largest AI Supercomputer for Scientific Discovery

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NVIDIA (NVDA) and Oracle will build the U.S. Department of Energy’s largest AI supercomputer at Argonne National Laboratory.

The Solstice system will include 100,000 NVIDIA Blackwell GPUs, an Equinox system will include 10,000 Blackwell GPUs (Equinox expected in H1 2026), and both systems together will deliver 2,200 exaflops of AI performance. Systems will run NVIDIA Megatron-Core and TensorRT stacks to support training and inference for agentic AI scientific workflows and connect to DOE experimental facilities.

The build uses a DOE public-private partnership model that includes industry investments and shared use cases.

NVIDIA (NVDA) e Oracle costruiranno il supercalcolatore AI più grande del Dipartimento dell'Energia degli Stati Uniti presso Argonne National Laboratory.

Il sistema Solstice includerà 100.000 GPU NVIDIA Blackwell, un sistema Equinox includerà 10.000 GPU Blackwell (Equinox previsto nel H1 2026), e entrambi i sistemi insieme forniranno 2.200 exaflop di prestazioni AI. I sistemi eseguiranno le stack NVIDIA Megatron-Core e TensorRT per supportare l'addestramento e l'inferenza per flussi di lavoro scientifici di IA agentica e saranno collegati alle strutture sperimentali del DOE.

La realizzazione segue un modello di partenariato pubblico-privato del DOE che include investimenti dell'industria e casi d'uso condivisi.

NVIDIA (NVDA) y Oracle construirán la supercomputadora AI más grande del Departamento de Energía de los Estados Unidos en el Argonne National Laboratory.

El sistema Solstice incluirá 100.000 GPU NVIDIA Blackwell, un sistema Equinox incluirá 10.000 GPU Blackwell (Equinox se espera en el H1 2026), y ambos sistemas en conjunto proporcionarán 2.200 exaflops de rendimiento AI. Los sistemas ejecutarán las pilas NVIDIA Megatron-Core y TensorRT para apoyar el entrenamiento y la inferencia en flujos de trabajo científicos de IA agentiva y se conectarán a instalaciones experimentales del DOE.

La construcción utiliza un modelo de asociación público-privada del DOE que incluye inversiones de la industria y casos de uso compartidos.

NVIDIA (NVDA)Oracle은 아르곤 국립 연구소에서 미국 에너지부의 최대 AI 슈퍼컴퓨터를 구축합니다.

Solstice 시스템에는 100,000개의 NVIDIA Blackwell GPU가 포함되고 Equinox 시스템에는 10,000개의 Blackwell GPU가 포함됩니다 (Equinox는 2026년 상반기에 기대됩니다). 두 시스템을 합치면 AI 성능 2,200엑사플롭를 제공하게 됩니다. 이 시스템들은 NVIDIA Megatron-Core와 TensorRT 스택을 실행하여 에이전트형 AI 과학 워크플로의 교육(training)과 추론(inference)을 지원하고 DOE 실험 시설과 연결됩니다.

구성은 업계 투자와 공유 사용 사례를 포함하는 DOE의 민관 파트너십 모델을 사용합니다.

NVIDIA (NVDA) et Oracle construiront l'ordinateur super AI le plus puissant du Département de l'Énergie des États-Unis au Argonne National Laboratory.

Le système Solstice comprendra 100 000 GPU NVIDIA Blackwell, le système Equinox comprendra 10 000 GPU Blackwell (Equinox prévu au 1er semestre 2026), et les deux systèmes ensemble offriront 2 200 exaflops de performance AI. Les systèmes exécuteront les piles NVIDIA Megatron-Core et TensorRT pour soutenir l'entraînement et l'inférence pour les flux de travail scientifiques d'IA agentique et se connecteront aux installations expérimentales du DOE.

La construction utilise un modèle de partenariat public-privé du DOE qui comprend des investissements de l'industrie et des cas d'utilisation partagés.

NVIDIA (NVDA) und Oracle werden den größten KI-Supercomputer des US-Energieministeriums am Argonne National Laboratory bauen.

Das Solstice-System wird 100.000 NVIDIA Blackwell GPUs enthalten, ein Equinox-System wird 10.000 Blackwell GPUs enthalten (Equinox voraussichtlich in H1 2026), und beide Systeme zusammen liefern 2.200 Exaflop AI-Leistung. Die Systeme laufen mit den NVIDIA Megatron-Core- und TensorRT-Stapeln, um Training und Inferenz für agentische KI-Wissenschafts-Workflows zu unterstützen und an DOE-Experimentalanlagen angeschlossen zu werden.

Der Aufbau folgt einem öffentlich-privaten Partnerschaftsmodell des DOE, das Industri investor und gemeinsam genutzte Anwendungsfälle umfasst.

NVIDIA (NVDA) و Oracle سيبنيان أكبر كمبيوتر فائق للذكاء الاصطناعي لوزارة الطاقة الأمريكية في مختبر Argonne الوطني.

سيشمل نظام Solstice 100,000 وحدة GPU من NVIDIA Blackwell، وسيشمل نظام Equinox 10,000 وحدة GPU Blackwell (متوقع لــ النصف الأول من 2026)، وكلا النظامين معاً سيقدمان 2,200 إكسافلوبس من أداء AI. ستشغل الأنظمة تكدسات NVIDIA Megatron-Core و TensorRT لدعم التدريب والتنبؤ للعمليات العلمية المعتمدة على AI وتتوصل إلى مرافق DOE التجريبية.

الاستخدام يقوم على نموذج شراكة عام-خاص لـ DOE يتضمن استثمارات من الصناعة وحالات استخدام مشتركة.

NVIDIA (NVDA)Oracle 将于 Argonne 国家实验室建设美国能源部最大的 AI 超级计算机。

Solstice 系统将包括 100,000 粒 NVIDIA Blackwell GPU,Equinox 系统将包括 10,000 粒 Blackwell GPU(Equinox 预计在 2026 年上半年),两套系统合计将提供 2,200 exaflops 的 AI 性能。系统将运行 NVIDIA Megatron-Core 与 TensorRT 堆栈,以支持代理式 AI 科学工作流程的训练与推理,并连接到 DOE 的实验设施。

该建设采用 DOE 公私伙伴关系模型,包含行业投资与共用案例。

Positive
  • 100,000 NVIDIA Blackwell GPUs in Solstice
  • 10,000 NVIDIA Blackwell GPUs in Equinox
  • Combined 2,200 exaflops of AI performance
  • Equinox availability targeted in H1 2026
  • Integrated NVIDIA Megatron-Core and TensorRT software stack
Negative
  • Build uses a DOE public-private partnership with industry investments
  • Both systems rely exclusively on NVIDIA Blackwell GPU architecture
  • No financial terms or funding amounts disclosed in the announcement

Insights

Large-scale DOE supercomputers with 110,000 Blackwell GPUs materially boost U.S. AI compute capacity and public R&D access.

The announcement centers on two Argonne systems: Solstice with 100,000 NVIDIA Blackwell GPUs and Equinox with 10,000, delivering a combined 2,200 exaflops of AI performance and planned availability for Equinox in the first half of 2026. These systems will run NVIDIA software stacks including Megatron-Core and TensorRT to enable development and training of large AI and agentic reasoning models for public research.

Key dependencies and risks include integration of hardware, software and networking at unprecedented scale, the public‑private partnership model governing access and use cases, and the timeline to make the capacity meaningfully available to researchers. Watch deployment milestones, software stack availability, and stated access rules over the next 12–24 months; monitor usage policies and any metrics on researcher access and model training throughput within a decade horizon.

Bold US Investment of 100,000 NVIDIA Blackwell GPUs Kickstarts Era of Agentic AI-Powered Science at Argonne National Laboratory for Public Researchers

 News Summary:

  • NVIDIA founder and CEO Jensen Huang and U.S. Secretary of Energy Chris Wright announce a landmark collaboration with Oracle to build the U.S. Department of Energy (DOE)’s largest AI supercomputer to boost scientific discovery.
  • Solstice system will feature a record-breaking 100,000 NVIDIA Blackwell GPUs to accelerate the DOE’s mission of driving technological leadership across U.S. security, science and energy applications, plus an Equinox system to feature 10,000 Blackwell GPUs.
  • The new DOE systems at Argonne National Laboratory will revolutionize scientific discovery and dramatically accelerate productivity for research and development in America.

WASHINGTON, Oct. 28, 2025 (GLOBE NEWSWIRE) -- GTC Washington, D.C.—NVIDIA today announced a landmark collaboration with Oracle to build the U.S. Department of Energy (DOE)’s largest AI supercomputer to dramatically accelerate scientific discovery.

The Solstice system will feature a record-breaking 100,000 NVIDIA Blackwell GPUs and support the DOE’s mission of developing AI capabilities to drive technological leadership across U.S. security, science and energy applications. Another system, Equinox, will include 10,000 NVIDIA Blackwell GPUs and is expected to be available in the first half of 2026. Both systems will be interconnected by NVIDIA networking and deliver a combined 2,200 exaflops of AI performance.

The Solstice and Equinox supercomputers will be located at Argonne National Laboratory. They will enable scientists and researchers to develop and train new frontier models and AI reasoning models for open science using the NVIDIA Megatron-Core library and scale them using the NVIDIA TensorRT™ inference software stack. These models will form the backbone of agentic AI workflows for scientific discovery.

Both AI supercomputers will support NVIDIA, Argonne and the DOE’s research collaborations to develop agentic scientists, boosting R&D productivity and accelerating discovery enabled by public research dollars within a decade. Solstice will be built with the DOE’s new public-private partnership model, including industry investments and use cases. This reflects the Trump Administration’s commitment to securing America’s leadership in AI and science.

“AI is the most powerful technology of our time, and science is its greatest frontier,” said Jensen Huang, founder and CEO of NVIDIA. “Together with Oracle, we’re building the Department of Energy’s largest supercomputer that will serve as America’s engine for discovery, giving researchers access to the most advanced AI infrastructure to drive progress across fields ranging from healthcare research to materials science.”

“Winning the AI race requires new and creative partnerships that will bring together the brightest minds and industries American technology and science has to offer,” said U.S. Secretary of Energy Chris Wright. “The two Argonne systems and the collaboration between the Department of Energy, NVIDIA and Oracle represent a new common sense approach to computing partnerships. These systems will be a powerhouse for scientific and technological innovation. Thanks to President Trump, we’re bringing new computing capacity online faster than ever before and turning shared innovation into national strength.”

“The Equinox and Solstice systems are designed to accelerate a broad set of scientific AI workflows, and we are collaborating with Oracle and NVIDIA to prepare thousands of researchers to effectively leverage the systems’ groundbreaking capabilities,” said Paul K. Kearns, director of Argonne National Laboratory. “This system will seamlessly connect to forefront DOE experimental facilities such as our Advanced Photon Source, allowing scientists to address some of the nation’s most pressing challenges through scientific discovery.”

“At Oracle, we are proud to partner with the Department of Energy to deliver sovereign, high-performance AI capabilities,” said Clay Magouyrk, CEO of Oracle. “Our collaboration at Argonne, tapping into the power of OCI, will provide a critical resource to address the nation’s most complex challenges and accelerate the next wave of scientific breakthroughs.”

The AI supercomputers will serve as the foundation for a larger-scale collaboration across science, energy and national security to deploy next-generation infrastructure and further secure U.S. leadership in AI for decades to come.

Learn more about how NVIDIA and partners are advancing AI innovation in the U.S. by watching the NVIDIA GTC Washington, D.C., keynote by Huang.

About NVIDIA
NVIDIA (NASDAQ: NVDA) is the world leader in AI and accelerated computing.

For further information, contact:
Alex Shapiro
NVIDIA Public Relations
1-415-608-5044
ashapiro@nvidia.com

Certain statements in this press release including, but not limited to, statements as to:  together with the DOE and Oracle, NVIDIA building the Department of Energy’s largest supercomputer that will serve as America’s engine for discovery, giving researchers access to the most advanced AI infrastructure to drive progress across fields ranging from healthcare research to materials science; expectations with respect to the DOE’s mission of developing AI capabilities to drive technological leadership across U.S. security, science and energy applications; expectations with respect to the collaboration among NVIDIA, DOE, and Oracle and the AI systems to be built for the DOE; the benefits, impact, performance, and availability of NVIDIA’s products, services, and technologies; expectations with respect to NVIDIA’s third party arrangements, including with its collaborators and partners; expectations with respect to technology developments; and other statements that are not historical facts are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, which are subject to the “safe harbor” created by those sections based on management’s beliefs and assumptions and on information currently available to management and are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic and political conditions; NVIDIA’s reliance on third parties to manufacture, assemble, package and test NVIDIA’s products; the impact of technological development and competition; development of new products and technologies or enhancements to NVIDIA’s existing product and technologies; market acceptance of NVIDIA’s products or NVIDIA’s partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of NVIDIA’s products or technologies when integrated into systems; and changes in applicable laws and regulations, as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

© 2025 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, and TensorRT are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.

Oracle Forward-Looking Statements Disclaimer
Statements in this article relating to Oracle’s future plans, expectations, beliefs, and intentions are “forward-looking statements” and are subject to material risks and uncertainties. Many factors could affect Oracle’s current expectations and actual results, and could cause actual results to differ materially. A discussion of such factors and other risks that affect Oracle’s business is contained in Oracle’s Securities and Exchange Commission (SEC) filings, including Oracle’s most recent reports on Form 10-K and Form 10-Q under the heading “Risk Factors.” These filings are available on the SEC’s website or on Oracle’s website at oracle.com/investor. All information in this article is current as of October 28, 2025 and Oracle undertakes no duty to update any statement in light of new information or future events.

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/7b8ce6f7-cc68-4e97-b3c1-a58d44465cbd


FAQ

What will NVIDIA and Oracle build at Argonne National Laboratory (NVDA) on Oct 28, 2025?

They will build the DOE’s largest AI supercomputer: Solstice with 100,000 Blackwell GPUs and Equinox with 10,000 Blackwell GPUs.

How much AI performance will Solstice and Equinox deliver together (NVDA)?

The two systems will deliver a combined 2,200 exaflops of AI performance.

When is the Equinox system expected to be available (NVDA)?

Equinox is expected to be available in the first half of 2026.

Which GPU and software stacks will run the DOE supercomputers (NVDA)?

Both systems will use NVIDIA Blackwell GPUs and NVIDIA’s Megatron-Core and TensorRT software stacks.

What partnership model is being used to build the DOE supercomputers (NVDA)?

Solstice will be built under the DOE’s public-private partnership model that includes industry investments and use cases.

Will the new systems support DOE scientific workflows and facilities (NVDA)?

Yes; the systems will accelerate agentic AI workflows and connect to DOE experimental facilities such as the Advanced Photon Source.
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