This Sources Sought opportunity from Department Of Energy was posted on July 21, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.
Request for Information (RFI) on Opportunities and Business Models Regarding AI Supercomputing Capability at Argonne National Laboratory
Contract Overview
Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.
AI Contract Overview
Argonne National Laboratory is seeking input through a Request for Information to inform the development of a National Genesis Mission Supercomputing Center of Innovation, an AI-enabled supercomputing facility to be located on its property in Lemont, Illinois. The initiative aims to advance U.S. leadership in artificial intelligence, accelerate scientific discovery, and establish secure, scalable computing infrastructure aligned with national priorities. Argonne, as a U.S. Department of Energy national laboratory with deep expertise in high-performance computing and data science, intends to create a world-class resource that could scale to 100,000 GPUs through public-private collaboration, with an anticipated $6 billion in private-sector investment to fund the infrastructure, reducing reliance on taxpayer funding. The RFI seeks detailed input from universities, nonprofit research institutions, industry stakeholders across sectors such as energy, manufacturing, healthcare, and automotive, as well as small and emerging technology firms on two key areas: the availability of computing hardware, software, test beds, and infrastructure elements for initial deployment and future expansion, and opportunities for co-funding, sponsored access, research partnerships, or reserved capacity models. The RFI does not constitute a solicitation, funding announcement, or binding commitment, and no contract clauses, evaluation factors, or formal award criteria are included. Respondents are asked to submit a single, concise document of no more than five pages, excluding a cover page that includes organization name, contact information, and focus area, via email to AI-Capability-RFI@anl.gov by August 21, 2026. Submissions must be in PDF or Word format, with no attachments permitted, and responses should describe contributions such as equipment supply, software development, operational support, workforce training, or pilot projects. While the RFI does not require UEI, CAGE codes, size certifications, or formal representations, it emphasizes the need for cybersecurity, interoperability, data privacy, and architectural scalability in proposed solutions. Future contractual mechanisms may include CRADAs, consortia arrangements, or user agreements with private entities, and intellectual property rights, organizational conflict of interest, and long-term operational responsibilities are anticipated considerations for future agreements. The facility is expected to operate on a sustained, phased basis, with infrastructure delivery and acceptance centered at the Argonne site in Lemont, Illinois.
General Info
Agency
NAICS
Place of Performance
Lemont, IL, 60439, USASet-Aside
Timeline
Submission Closed
Organization & Contact Information
Full Description
Argonne National Laboratory (Argonne) seeks information from academia, industry, nonprofit organizations, and other interested parties regarding opportunities to participate in the development and use of a National Genesis Mission Supercomputing Center of Innovation. The center will include AI supercomputing resources and be located on Argonne property.
Argonne is advancing efforts to strengthen U.S. leadership in artificial intelligence (AI), accelerate scientific discovery and engineering innovation, and enable secure, scalable computing infrastructure aligned with national priorities. Argonne is evaluating approaches to implement AI infrastructure that can support research, development, demonstration, and mission-focused applications through public-private collaboration. Argonne, as a U.S. Department of Energy (DOE) national laboratory with established capabilities in high-performance computing, AI, data science, secure computing, and user facility operations, is well positioned to host such a capability.
Through this RFI, Argonne seeks input in two areas:
Computing and infrastructure capabilities—opportunities for organizations to provide equipment, software, services, test beds, infrastructure elements, or other capabilities that support an initial deployment and/or future phases of expansion, technology refresh, or modernization of a National Genesis Mission Supercomputing Center of Innovation that includes AI resources; and
Use, co-funding, and partnership interest—input from organizations interested in using, supporting, funding, reserving capacity from, or otherwise partnering around a portion of AI supercomputing resources within the center through research, education, co-funded public-private partnership, sponsored access, or other arrangements.
Argonne is specifically interested in models that leverage substantial private-sector investment, with the expectation that much of the infrastructure associated with the center of innovation would be financed through private, non-Federal sources rather than taxpayer funding.
This RFI is issued for information-gathering and planning purposes only. It does not constitute a funding opportunity announcement, request for proposals, or other solicitation, and does not commit Argonne to any award, agreement, or other action.
Argonne welcomes responses from a broad range of stakeholders, including:
- Universities, university consortia, and nonprofit research institutions;
- Industry stakeholders (such as Energy & Utilities, Materials & Chemicals, Industrials & Manufacturing, Automotive & Transportation, Health Care & Life Sciences, Agriculture & Food Processing);
- Large businesses, small businesses, and emerging technology firms; and
- Organizations (including entities not listed above) interested in sponsored research, shared infrastructure, or public-private partnership models.
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