Current Opportunities
Educational Tools
Request access to educational platforms (such as computational notebooks).
Computing Power
Access high-performance computing platforms tailored for AI research.
Data, Models, and More
Browse curated datasets, pre-trained models, and additional tools for training and testing your AI systems.
Projects highlights
Scaling Resilient and Adaptable Decentralized Learning to Large Dynamic Networks
PI: David I. Inouye, Purdue University
Investigating Security Issues in Instruction-Tuned Large Language Code Models
Xiali Hei, University of Louisiana at Lafayette
Addressing Backdoor Attacks in Large Models
Jeffrey Blimes, University of Washington
Developing Reliable Agents for Automating Complex Digital Tasks PI: Balasubramanian, Stony Brook 
LakeGPT: A Foundation Model for Aquatic Sciences PI: Karpatne, Virginia Tech 
Community Runnable Earth Digital Intelligence Twin Training and Reforecasts PI: D. Gagne, NCAR 
Agricultural Pest Identification w/ Robustness Guarantees PI: Ganapathysubramanian, Iowa St. 
Advanced Training for Protein Diffusion, Binder Prediction, and Antibody Design PI: Baker, David, U. Washington 
Generative models of neuroimages for personalized assessment of risk for Alzheimer’s disease PI: Irimia, Andrei, U Southern California 
Training Foundation Models from Private, Federated Client Data PI: Fanti, Giulia, Carnegie Mellon 
Neuro-inspired Oversight for Safe and Trustworthy Large Language Models PI: Kim, Edward, Drexel University 
Next Generation Low-Earth Orbit Satellites for high resolution monitoring and to aid in Disaster Management PI: Vasisht, Deepak, U of Illinois Urbana-Champagne
What's Happening
NAIRR Pilot Inaugural Annual Meeting Resources Now Available
The NAIRR Pilot’s first Annual Meeting was held February 19–21, 2025 and now the community can access the curated meeting presentation slides, video recordings, and other highlights from the event.
Requesting Resources via NAIRR Pilot
This webinar presents an overview of the process for requesting no-charge access to technology resources via the National AI Research Resources Pilot program.
Navigate the NAIRR Pilot Allocation Request
A comprehensive guide to securing no-cost AI resources for research and education. This webinar covers eligibility requirements, proposal development, review criteria, resource justification, and more.
Leadership, Partners, and Contributors
The U.S. National Science Foundation (NSF) leads the NAIRR Pilot effort in collaboration with federal agency partners. The Department of Energy (DOE) and the National Institutes of Health (NIH) are leading development of a NAIRR Secure element of the pilot.
The following federal agency partners are presently participating and contributing resources to the NAIRR Pilot:
- U.S. National Science Foundation (NSF)
- Defense Advanced Research Projects Agency (DARPA)
- Department of Agriculture (USDA)
- Department of Defense (DOD)
- Department of Energy (DOE)
- Department of Veterans Affairs (VA)
- National Aeronautics and Administration (NASA)
- National Institutes of Health (NIH)
- National Institute of Standards and Technology (NIST)
- National Oceanic and Atmospheric Administration (NOAA)
- U.S. Department of Education
- U.S. Food and Drug Administration
- U.S. Geological Survey (USGS)
- U.S. Patent and Trademark Office (USPTO)
Current non-governmental partners:
- AI2: Allen Institute for AI
- AMD
- Amazon Web Services (AWS)
- Anthropic
- Cerebras
- Databricks
- Datavant
- EleutherAI
- Groq
- Hewlett Packard Enterprise (HPE)
- Hugging Face
- IBM
- Intel
- Meta
- Microsoft
- MLCommons
- NVIDIA
- Omidyar Networks
- OpenAI
- OpenMined
- Palantir
- Regenstrief Institute
- SambaNova Systems
- Vocareum
- Weights & Biases