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Find similar grantsNAIRR Pilot Resource Allocations for AI Research and Education is sponsored by National Science Foundation (NSF) with 13 Federal Agency Partners. The National AI Research Resource Pilot provides free access to computational resources, datasets, pre-trained AI models, platforms, tools, and educational resources to democratize AI research.
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NAIRR Pilot - NAIRR Pilot Resource Requests to Advance AI Research NAIRR Pilot Resource Requests to Advance AI Research Questions about this call or need help with allocation?
In the NAIRR Pilot, the US National Science Foundation (NSF), the US Department of Energy (DOE), and numerous private and non-profit sector partners are providing an opportunity for the research community to request access to a set of computing, model, platform and educational resources for projects related to advancing AI research.
This call for proposals will be open from May 6, 2024, until the end of the NAIRR Pilot program or until all resources have been committed to projects. Projects will be awarded for twelve (12) months duration.
This call is open to meritorious proposals by US-based researchers and educators from US-based institutions including academic institutions (including graduate students with a support letter from a faculty advisor), non-profits, federal agencies or federally funded R&D centers, state, local, or tribal agencies, startups and small businesses with federal grants.
However, the individual resources available via this call may have differing eligibility rules. Assignment of supported proposals will be guided by these constraints. Note that the email address you provide must be your institutional email.
Requests providing personal email addresses such as “. gmail. com” addresses will not be considered.
This call for allocation requests encompasses projects covering any of the following cross-cutting focus areas: Advancing AI methods that enable scientific discovery and improve AI interpretability, security and trust. Accelerating time to science and innovation through AI enabled automation, autonomy and novel design and control processes.
Applying AI to use, share, or integrate sensitive data from multiple sources to enable new experimental methods and discovery. Advancing approaches for integrating simulations and AI. Creating or developing open-source AI tools, models, datasets, and methods.
Training and educating the next generation AI-savvy workforce. Other projects that align with the broader objectives of the NAIRR Pilot, as well as projects in other areas of AI research and applications, may secondarily be considered for allocation.
The set of resources available through the NAIRR Pilot has been expanded to include additional resources funded by federal agencies as well as resources contributed by private and non-profit sector partners. Over time, we expect new resources will be added to the NAIRR Pilot, and some resources may be removed from the pilot as their available contributions are committed to projects.
Researchers are strongly encouraged to review the most up-to-date list of resources, which will always be available via the NAIRR Pilot Resource Catalog . Note that some resources contributed to the NAIRR Pilot, such as pre-trained models, datasets, and relevant platforms, may be accessible to researchers and educators without the need for a proposal. For details, see this full list of pilot resources.
All persons submitting proposals should note the following parameters and expectations: Because of the strong public component of the NAIRR, all project results must be open and publishable. Teams who receive NAIRR Pilot access are expected to publish their results in the open scientific literature or otherwise disseminate publically, and to make all project products publically available, to the extent possible.
The NAIRR Pilot wishes to catalyze open, pre-competitive results that can impact the future of the NAIRR. If a PI believes that a project will result in commercializable intellectual property (IP), the PI should discuss directly with the assigned resource provider to determine if commercialized IP requirements can be accommodated. NAIRR Pilot projects are intended to be completed within twelve (12) months.
Projects with longer-term timelines should complete a support request to be referred to existing proposal and allocation opportunities. All supported projects will have the name of the principal investigator (PI), their affiliation, the project title, and project abstract posted on the NAIRR Pilot website. All project PIs will be added to a NAIRR Pilot mailing list to foster a community of NAIRR Pilot researchers.
Project PIs are expected to provide brief (2–3 paragraphs) project updates 1 month and 6 months into the project, and a final report (three pages) upon project completion. For reporting purposes, the NAIRR Pilot collects information about how all participants use NAIRR Pilot-allocated resources. Usage information is collected initially by individual Resource Providers, which in turn share it centrally with the NAIRR Pilot.
The NAIRR Pilot may share this usage information, typically in aggregate form but potentially unfiltered, with funding agencies and researchers.
All supported projects not making full use of their allocations in a timely manner may be subject to reductions in their allocations in accordance with the NAIRR Pilot Allocation Management Policy Instructions for NAIRR Pilot Project allocation awardees: Guidance on reporting for your project Proposals require completing a form and uploading a three-page PDF proposal. See proposal preparation instructions and expectations.
As part of the process of completing the form, researchers should include information about funding grants directly supporting,related, or adjacent to the proposed research. Proposals for research activities without merit-reviewed support will be accepted, but will be subject to additional review regarding the scientific merit of the work.
Proposals will be accepted starting May 6, 2024, through the end of the NAIRR Pilot program or until all available resources have been committed to projects. All proposals will be evaluated by independent peer reviewers for scientific and technical appropriateness and feasibility.
Proposals will be evaluated on the following criteria: Alignment with the NAIRR Pilot focus areas; Project readiness and potential for near-term progress; Feasibility of the technical approach; Need for the computing, support, or other resources available in the NAIRR Pilot; Knowledge and experience of the proposing team related to the proposed work; and Estimated resource requirements and justification After completion of the independent review process, proposals will be matched to the appropriate resource through matching committees.
All partners, including non-governmental partners will have a representative on a relevant matching committee to assure the proposal is a strong match for their contributed resource and will be able to see reviews of proposals in their resource category. All reviewers and members of matching committees will be subject to a confidentiality agreement that prohibits sharing review and/or proposal content.
Note, if a researcher does not wish their proposal to be viewed by a non-governmental partner, they should choose only government agency resources and check the box indicating they do not wish their submission to be viewed by non-government resource providers. Note that this could limit the ability to match a proposal to resources.
Proposal Submission and Review All proposals must be submitted electronically via the NAIRR Pilot submission site . Proposals will be reviewed on an ongoing monthly cycle. Typically, requests submitted by the 15th of the month will be reviewed and have their outcome decided by the end of the following month.
Projects will be awarded for twelve (12) months duration. Instructions for NAIRR Pilot Project allocation awardees Guidance on reporting for your project Questions about this call or need help with allocation?
Based on current listing details, eligibility includes: US-based researchers and educators from US-based institutions including academic institutions, non-profits, federal agencies, federally funded R&D centers, state/local/tribal agencies, startups and small businesses with… Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Free compute allocations for 12-month projects. Resources include GPU clusters (NVIDIA H100 and A100), cloud environments, AI-ready datasets, and pre-trained models across approximately 3.77 exaFLOPS of total compute capacity from federal partners including DOE national laboratories. No direct cash award. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
Research on Circular Economy, Smart Manufacturing, and Energy-Efficient Microelectronics is sponsored by U.S. Department of Energy (DOE) Advanced Materials & Manufacturing Technologies Office (AMMTO). This funding opportunity supports innovative technology R&D across the manufacturing sector with a focus on circular economy, smart manufacturing, and energy-efficient microelectronics. While the stated deadline for full applications has passed, AMMTO frequently issues similar solicitations, and this highlights a relevant area of interest for the DOE.
NIST Small Business Innovation Research (SBIR) Phase II Program - Quantum Information Science is sponsored by National Institute of Standards and Technology (NIST). This program allocates funding to small businesses for prototyping innovative technologies in areas including quantum information science, artificial intelligence, and semiconductors. These Phase II awards follow successful Phase I feasibility studies.