Partnerships for Transformational Artificial Intelligence Models
ID: DE-ASCR-26-0001Type: Presolicitation
Overview

Buyer

ENERGY, DEPARTMENT OFENERGY, DEPARTMENT OFSC OAK RIDGE OFFICEOAK RIDGE, TN, 37831, USA

PSC

IT AND TELECOM - HIGH PERFORMANCE COMPUTING (HPC) SUPPORT SERVICES (LABOR) (DB01)

Original Source

https://sam.gov/workspace/contract/opp/18575cee90e74b11bbe963d7750408d8/view
Timeline
    Description

    The Department of Energy (DOE) is seeking input through a Request for Information (RFI) to establish a public-private consortium aimed at developing transformational artificial intelligence (AI) models for scientific applications. This initiative, mandated by Public Law 119-21, focuses on curating scientific data from the National Laboratories to create self-improving AI models that will enhance scientific discovery, energy solutions, and national security. The DOE invites participation from a diverse range of institutions, including businesses, think tanks, and research organizations, to collaborate on leveraging DOE data and expertise, with responses due by January 14, 2026. Interested parties should submit their responses electronically to AICommunityInput@science.doe.gov, including "Transformational Artificial Intelligence Models" in the subject line.

    Point(s) of Contact
    DOE Office of Science AI Team
    AICommunityInput@science.doe.gov
    Files
    Title
    Posted
    RFI for Transformational AI Models.pdf
    The Department of Energy (DOE) has issued a Request for Information (RFI) to establish a public-private consortium focused on artificial intelligence (AI) models for science and engineering. This initiative, mandated by Public Law 119-21, seeks to curate DOE's scientific data from National Laboratories for AI use and develop self-improving AI models. The DOE aims to partner with institutions, including businesses, think tanks, investors, and research organizations, to achieve global AI dominance and advance scientific discovery, energy, and national security. The RFI poses questions on mobilizing National Laboratories, structuring the consortium for diverse scientific disciplines, providing AI models to the scientific community via cloud technologies, and addressing legal, privacy, and intellectual property considerations, including the use of Other Transaction Authority (OTA). Responses are due by January 14, 2026, and will inform strategic planning and future funding mechanisms.
    Lifecycle
    Title
    Type
    Partnerships for Transformational Artificial Intelligence Models
    Currently viewing
    Presolicitation
    Similar Opportunities
    Transformational AI Capabilities for National Security
    Buyer not available
    The Department of Energy's National Nuclear Security Administration (NNSA) is seeking information on Transformational Artificial Intelligence (AI) Capabilities for National Security through a Request for Information (RFI). This initiative aims to integrate advanced AI technologies into NNSA's nuclear weapons development and nonproliferation missions, enhancing operational efficiency and addressing evolving global threats. The RFI invites responses from a diverse range of entities, including businesses, research organizations, and universities, to gather insights on capabilities related to classified AI development, data curation, and partnership models. Interested parties must submit their responses by January 23, 2026, at 12:00 PM MST, and can direct inquiries to Clinton Rohloff or Stephanie M. Vigil via the provided contact information.
    COMMERCIAL AI & ENERGY GENERATION INFRASTRUCTURE PROGRAM REQUEST FOR OFFER
    Buyer not available
    The Department of Energy (DOE) is soliciting proposals through a Request for Offer (RFO) for the Commercial AI & Energy Generation Infrastructure Program, aimed at leasing portions of the former Paducah Gaseous Diffusion Plant cleanup site in Western Kentucky. This initiative seeks to develop integrated AI data centers and energy generation infrastructure, encouraging innovative energy technologies, particularly nuclear and geothermal, while aligning with national priorities in AI and energy leadership. Interested parties are invited to participate in an industry day on December 18, 2025, to discuss the RFO and tour the site, with registration required by December 12, 2025. For further inquiries, contact Marcia D. Fultz at marcia.fultz@pppo.gov or call 859-219-4044.
    Request for Proposals: Artificial Intelligence Infrastructure and Energy Generation on DOE Land at Savannah River Site
    Buyer not available
    The Department of Energy (DOE) is issuing a Request for Proposals (RFP) for a long-term lease of land at the Savannah River Site (SRS) in Aiken, South Carolina, aimed at developing Artificial Intelligence (AI) data centers and energy generation infrastructure. The initiative seeks proposals for integrated projects that include both AI data centers and energy generation, with a focus on innovative energy solutions and rapid development to enhance U.S. leadership in AI and energy sectors. This opportunity is critical for supporting economic competitiveness and national security, as selected entities will be responsible for all aspects of development, including environmental compliance and financial obligations. Interested parties can contact Jeff Hynds at NNSAAIInfrastructure@srs.gov for further information, with proposals due by the specified deadline.
    Notice of Intent to Issue a Funding Opportunity from U.S. Department of Energy’s (DOE) High Performance Computing for Energy Innovation (HPC4EI) Initiative
    Buyer not available
    The U.S. Department of Energy (DOE) is set to issue a new solicitation under its High Performance Computing for Energy Innovation (HPC4EI) initiative, specifically targeting the High-Performance Computing for Manufacturing (HPC4Mfg) program. This initiative aims to provide U.S. manufacturers with access to DOE National Laboratory expertise and advanced supercomputing resources to tackle complex challenges in energy and materials, thereby enhancing efficiency, reducing costs, and strengthening supply chain resilience. Eligible participants include entities that manufacture or operate in the U.S. for commercial applications, as well as organizations that support these entities, with selected projects potentially receiving up to $400,000 in funding, contingent upon a minimum 20% cost share from industry partners. For further inquiries, interested parties can contact Aaron Fisher at fisher47@llnl.gov or by phone at 925-422-3950.
    INL Innovation Spotlight Innovative Data Concealment for Secure AI Research: The DIOD Methodology
    Buyer not available
    The Department of Energy, through the Battelle Energy Alliance at the Idaho National Laboratory (INL), is seeking innovative solutions for data concealment in AI research, specifically through the DIOD (Deceptive Infusion of Data) methodology. This groundbreaking approach aims to enhance data sharing while ensuring the confidentiality of sensitive information, addressing the challenges posed by traditional data anonymization techniques that often compromise data utility. The DIOD methodology is particularly relevant for sectors such as defense, healthcare, and energy, where secure data sharing is critical for innovation. Interested parties can reach out to Andrew Rankin at andrew.rankin@inl.gov for further discussions on potential partnerships and licensing opportunities, as this initiative does not involve procurement or funding for external services.
    RFI Artificial Intelligence (AI) Translation
    Buyer not available
    The Department of Justice, specifically the Federal Bureau of Prisons (BOP), is seeking information through a Request for Information (RFI) regarding advanced artificial intelligence (AI) and natural language processing (NLP) technologies to enhance the monitoring and analysis of inmate communications. The primary objective is to develop solutions that can automatically transcribe, translate, and analyze audio recordings from inmate telephone systems, while correlating this data with other intelligence sources to detect potential criminal activities such as contraband smuggling, gang coordination, and human trafficking. This initiative is crucial for improving security and operational efficiency across 120 institutions. Interested vendors are invited to submit their responses by December 15, 2025, and should include details on their solutions, prior deployments, and technical specifications. For further inquiries, contact Brooke Wilson at bgarcia@bop.gov or call 202-305-6744.
    INL Innovation Spotlight Cyber Resilient Trade-off Evaluation (CyRTE): Pioneering Strategy for Operational Technology Security
    Buyer not available
    The Department of Energy, through the Battelle Energy Alliance, is seeking innovative solutions for the Cyber Resilient Trade-off Evaluation (CyRTE), aimed at enhancing the security of Operational Technologies (OT) against cyber threats. This initiative focuses on developing a resilience-informed, AI-driven methodology to assess the impact of cybersecurity measures on the operational integrity of critical infrastructure systems, such as utilities and manufacturing. The CyRTE approach includes the creation of a unique "buzzer" tool for testing cyber-physical interactions and the use of digital twins for systemic evaluations, ensuring that cybersecurity implementations do not compromise system functionality. Interested parties can reach out to Andrew Rankin at andrew.rankin@inl.gov for further engagement and to explore potential licensing opportunities related to this technology.
    ARTIFICIAL INTELLIGENCE AND NEXT GENERATION DISTRIBUTED COMMAND AND CONTROL
    Buyer not available
    The Department of the Air Force is seeking white papers for a Broad Agency Announcement (BAA) titled "Artificial Intelligence and Next Generation Distributed Command and Control," aimed at advancing AI and distributed command and control capabilities. The initiative focuses on enhancing decision-making processes and operational effectiveness across strategic, operational, and tactical levels through innovative AI applications and distributed systems. With an estimated total funding of approximately $99 million, individual awards will range from $200,000 to $20 million over a maximum period of 48 months, and submissions will be accepted until August 30, 2028. Interested parties should direct inquiries to Gennady Staskevich at gennady.staskevich@us.af.mil or Amber Buckley at amber.buckley@us.af.mil for contractual questions.
    EXTREME COMPUTING
    Buyer not available
    The Department of the Air Force is soliciting white papers under the Broad Agency Announcement (BAA) FA8750-23-S-7004, titled "Extreme Computing," aimed at advancing research in various computing technologies. The BAA focuses on areas such as computational diversity, efficient computing architectures, machine learning and artificial intelligence in embedded systems, edge computing, nanocomputing, and robust algorithms. With an estimated total funding of approximately $497.9 million, individual awards typically range from $1 million to $3 million over a period of 36 months, with the potential for larger awards up to $99.9 million. Interested parties should submit white papers by suggested deadlines aligned with fiscal year funding, with the final submission date being September 20, 2028. For technical inquiries, contact Joel Moore at joel.moore.2@us.af.mil or 315-330-4958, and for contractual questions, reach out to Amber Buckley at amber.buckley@us.af.mil or 315-330-3605.
    RFI: HAF/A5 Advanced Wargaming and Simulation Technologies for Integrated Force Design
    Buyer not available
    The Department of Defense, specifically the Department of the Air Force, is conducting a Request for Information (RFI) to identify U.S. vendors capable of providing advanced wargaming and simulation technologies for the Integrated Force Design initiative, known as the WarMatrix Ecosystem. The Air Force aims to transform its current capabilities by developing a digital system that enhances decision-making through advanced software, modeling and simulation (M&S), and Artificial Intelligence (AI), addressing existing challenges with outdated tools and disconnected systems. This initiative is crucial for achieving Decision Superiority and refining force design in future military campaigns. Interested vendors must submit capability briefs by January 9, 2026, at 2:00 PM EST, to Capt Richard Snyder at richard.snyder.12@us.af.mil, detailing their relevant technologies and experience.