The NSF AI Infrastructure Hubs 2026 funding opportunity supports state and multi-state regional consortia seeking to expand access to artificial intelligence computing resources, accelerate AI-enabled scientific discovery and develop the AI research workforce. The National Science Foundation is offering $4 million to $12 million over five years for each selected hub, with partnerships involving universities, industry, philanthropy, and state and local governments.
Background & Funding Opportunity
The NSF State and Regional Artificial Intelligence Infrastructure Hubs: Expanding Access to Compute for Scientific Discovery programme is designed to strengthen the infrastructure and workforce needed to advance AI-enabled scientific research in the United States.
The initiative seeks to establish state or multi-state regional hubs organized as coalitions of higher education institutions working alongside private industry, philanthropic organizations, and state and local governments.
The proposed hubs will focus on expanding access to AI infrastructure, developing technical talent and accelerating scientific discovery through artificial intelligence.
A central feature of the programme is that participating consortia will be responsible for securing funding for new or expanded computing, data and AI resources. These resources may be deployed on-premises or through cloud-based systems.
NSF funding will instead support consortium coordination, AI infrastructure workforce development, faculty training and the development of coursework focused on using AI for science.
Programme Objectives
The NSF AI Infrastructure Hubs initiative has three central goals.
Expand Access to Compute
The programme aims to increase access to computing capabilities that researchers and students can use for AI-enabled scientific work.
Hub resources may support advanced research environments, including autonomous laboratories and AI-enabled research experiences across degree and certificate programmes.
Accelerate AI-Enabled Scientific Discovery
The programme seeks to help research institutions use artificial intelligence to accelerate scientific discovery.
Regional partnerships are expected to create environments where researchers can leverage AI capabilities across different scientific disciplines and research activities.
Develop an AI for Science Workforce
Another major objective is developing a workforce capable of using AI technologies for scientific discovery.
Hubs can support technical workforce development, faculty training, new coursework and stackable credits that help learners build relevant AI and scientific computing skills.
Funding Information
Selected hubs can receive between:
$4 million and $12 million
The funding period is:
5 years
The opportunity provides for one award per state or multi-state region.
However, applicants should note an important funding restriction: NSF will not provide funding for the acquisition of AI infrastructure itself.
This includes computing, data, software, networking, storage, cloud services and other AI systems or services.
Instead, the regional or state consortium is expected to aggregate the necessary resources and funding for procuring, deploying, operating and maintaining AI infrastructure through partnerships.
Eligible Partnerships
The programme is structured around collaboration.
Potential consortium members can include:
- Institutions of higher education
- Private industry
- Philanthropic organizations
- State governments
- Local governments
- Research institutions
The consortium model is intended to bring together organizations that can collectively provide the infrastructure, expertise, funding and workforce development capabilities needed to build a sustainable AI research ecosystem.
Eligibility
According to the information provided, there are no restrictions on who may serve as Principal Investigator (PI).
However, an individual may participate in no more than one proposal as PI, co-PI or Senior/Key Personnel for each deadline.
The restriction does not apply to advisory roles.
Organizations and researchers considering participation should therefore carefully coordinate their involvement before submitting proposals.
Boston University Internal Selection
The source material also describes an internal limited-submission process for Boston University.
Boston University may participate in only one application.
Interested BU faculty were required to submit the following materials through the university’s InfoReady Review system:
- A 250-word maximum abstract
- A list of proposed collaborators
- A list of proposed consortium member organizations
The abstract was expected to provide a high-level description of the proposed resources and explain why the resources that would be made available were appropriately sized for the scale and scope of the proposed research activities.
The Office of Research could review submissions and coordinate with the institutional applicant as necessary.
Important Deadlines
The source lists the following deadlines:
Internal Materials Due: August 20, 2026, by 11:59 PM ET
Anticipated Notification Date: August 26, 2026
External Materials Due: November 4, 2026
The August 20 internal deadline has already passed as of August 24, 2026. The external NSF deadline listed in the source is still November 4, 2026.
Researchers at institutions with their own internal selection procedures should therefore check their institution’s requirements and deadlines well before the NSF submission date.
Why This Funding Opportunity Matters
The NSF AI Infrastructure Hubs programme represents a major opportunity for universities and regional research ecosystems seeking to expand their capacity for AI-enabled scientific research.
Rather than focusing solely on purchasing computing infrastructure, the programme emphasizes the broader ecosystem required to make AI useful for science.
This includes:
- Research collaboration
- Workforce development
- Faculty training
- AI-focused education
- Consortium coordination
- Partnerships between universities and external organizations
- Access to computing and data resources
The approach could help participating regions develop stronger connections between academic research, industry and government while building a workforce capable of applying AI to scientific challenges.
What Applicants Should Consider
Organizations developing proposals should pay close attention to the programme’s partnership and infrastructure requirements.
A strong consortium would need to demonstrate how participating organizations can collectively support the required computing, data and AI resources while using NSF funding for the activities specifically identified by the programme.
Applicants should also clearly connect their proposed infrastructure ecosystem with scientific research needs and workforce development.
The source emphasizes that infrastructure acquisition itself is not funded by NSF under this opportunity, making consortium-level resource mobilization an important part of the model.
Final Takeaway
The NSF AI Infrastructure Hubs 2026 programme provides $4 million–$12 million over five years for selected state or multi-state regional hubs working to expand AI-enabled scientific research in the United States.
The programme combines AI infrastructure access, scientific discovery and workforce development, with consortia expected to involve higher education institutions and partners from industry, philanthropy and government.
The source lists November 4, 2026 as the external deadline. However, organizations should verify the current NSF solicitation and their own institutional requirements before preparing a submission.
NSF AI Infrastructure Hubs Solicitation
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