Discussions on the Proposed National AI Research Infrastructure (NAIRR) addressed to the Office of Science and Technology Policy (OSTP) and the National Science Foundation (NSF)
The National Artificial Intelligence Research Resource (NAIRR) is an ambitious initiative launched by the White House Office of Science and Technology Policy (OSTP) and the National Science Foundation (NSF). The goal of NAIRR is to provide a shared computing and data infrastructure, democratizing access to advanced AI resources for researchers and students across various scientific fields, thereby fostering innovation and AI research across the United States.
The NAIRR pilot program began in 2025, marking a significant step towards building a national AI compute resource platform, broadening access beyond elite institutions. Proposed initially as part of the White House’s AI policy framework under the Biden administration, NAIRR aims to overcome barriers in access to high-powered AI computing and data resources, promoting more inclusive AI research participation and innovation.
The NAIRR is part of a broader AI ecosystem strategy, including the NSF expanding AI institutes to 27 across 40 states and NIST developing AI risk management frameworks. The goal is to align AI infrastructure development with safety, fairness, and wide accessibility.
While the 2025 AI Action Plan under the Trump administration emphasized deregulation to accelerate US AI leadership, including NAIRR-related activities, it focuses heavily on deregulation and infrastructure without deeply addressing some regional and academic ecosystem needs identified by experts.
The success of the NAIRR is expected to enhance U.S. competitiveness in AI. Congress has directed the NAIRR Task Force to develop an implementation roadmap for the NAIRR, which is envisioned to provide a continuous, scalable infrastructure platform, facilitating researchers' access to vast compute and datasets. This may involve partnerships across federal agencies and the private sector to maintain sustainability and openness.
The advanced computing ecosystem includes secure, privacy-preserving frameworks, high-quality, representative datasets, and appropriate educational tools and user support mechanisms. While the comments do not provide specific details about the suggestions offered, they support the goals of the NAIRR Task Force.
The Center for Data Innovation, which generally advocates for policies that balance innovation with safeguarding data use and security, would likely endorse NAIRR’s goal of democratizing AI compute resources, provided the implementation ensures robust data governance, protection of proprietary data, and fosters a vibrant ecosystem of innovation.
In summary, the NAIRR pilot has launched to build a national AI compute resource infrastructure, facilitating broad access to AI tools and data. The White House OSTP and NSF coordinate this within a national AI strategy emphasizing deregulation, infrastructure modernization, and international leadership. Public expert commentary, such as that from Brookings, notes NAIRR’s promise but calls for targeted support for regional and academic inclusivity. The Center for Data Innovation would likely endorse NAIRR with emphasis on balanced data governance but specific comments were not found in the latest results.
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