Nvidia joins the NSF State and Regional AI Infrastructure Hubs program to expand AI research and education across U.S. states.

NVIDIA is participating in the U.S. National Science Foundation's State and Regional Artificial Intelligence Infrastructure Hubs program, launching to expand access to the advanced computing, data, software and expertise needed for AI-enabled research and education.

Consistent with the Genesis Mission, the program will support state and multistate groups of colleges and universities working together to strengthen America's AI ecosystem. In partnership with private industry, philanthropic organizations and state and local governments, the hubs will expand the AI infrastructure, software, educational resources and technical support needed by faculty, students and researchers nationwide.

State or regional consortia can pool expertise, focus on specific local priorities, achieve economies of scale and create pathways for institutions that might otherwise remain outside the frontier of AI-enabled research and education. Flexible approaches—including on-premises infrastructure, cloud computing or a combination—will allow consortia to design resources around their regional needs and economic priorities.

The model builds on NVIDIA's public-private partnership with Chris Malachowsky and the University of Florida in 2020, which transformed UF into the country's first true AI university and provided AI compute access to all Florida public universities. Since its launch, UF has grown to more than 300 AI-focused faculty and embedded AI education and research across all 16 colleges. Since 2017, UF faculty and units have received more than $511 million in AI research awards.

NVIDIA has also contributed to the NSF-led National Artificial Intelligence Research Resource (NAIRR) pilot program, on which today's announcement builds. Through NAIRR, NVIDIA partnered with university research teams to turn computing resources into usable scientific capacity, giving researchers infrastructure, tools and expertise to move from idea to experiment to discovery.

AI infrastructure alone is insufficient. A successful national AI strategy must include workforce development—pairing infrastructure with clear learning pathways. Universities, community colleges and regional partners can build degree programs, short-form certificates and stackable credentials that help learners progress from foundational AI literacy to applied skills in physical AI and automation, healthcare, energy, agriculture, manufacturing, quantum computing and cybersecurity.

NVIDIA can support this work by providing training resources, educator enablement, applied learning content, technical guidance and access to tools that help institutions build repeatable, openly available programs. For policymakers, the hubs offer an opportunity to connect regional research and educational infrastructure with regional priorities and broader workforce and economic-development strategies.

Sustained collaboration among government, higher education, philanthropic organizations and private industry is essential. Private-sector contributions can complement public investment with technology, implementation expertise and workforce development programs, while public institutions direct those capabilities toward scientific, educational and economic priorities that advance regional needs and national interest.