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.
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