NVIDIA Joins NSF State and Regional AI Hubs Program to Expand AI Research and Education Across the US

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

Consistent with the aims of the Genesis Mission, the program will support state and multistate groups of colleges and universities working together to strengthen America's AI ecosystem. These regional hubs will help institutions share AI computing resources, accelerate scientific discovery and innovation, and prepare students to participate in the AI economy.

Expanding Access to AI Infrastructure The State and Regional AI Infrastructure Hubs program will bring shared resources closer to the institutions and communities they serve. 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 hubs will resemble the public-private partnership between NVIDIA, NVIDIA cofounder Chris Malachowsky and the University of Florida (UF) in 2020 to turn UF into the country's first true AI university and provide AI compute access to all Florida public universities. That initiative now serves as a national model. Since launching its university-wide initiative in 2020, UF has grown to more than 300 AI-focused faculty and embedded AI education and research across all 16 colleges.

And since 2017, UF faculty and units have received more than $511 million in AI research awards. NVIDIA has also expanded academic compute access in other ways, including as a leading contributor to the NSF-led National Artificial Intelligence Research Resource (NAIRR) pilot program on which today's announcement is built. Through NAIRR, NVIDIA partnered with university research teams across the country to turn computing resources into usable scientific capacity - giving researchers the infrastructure, tools and expertise needed to move from idea to experiment to discovery.

The resources also facilitated meaningful educational opportunities that gave students critical real-world skills for the AI economy. Preparing the AI Workforce AI infrastructure alone is not enough. A successful national AI strategy must include efforts to build a workforce that can use advanced computing, data resources and AI tools in real scientific and industry settings.

That means 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 move from foundational AI literacy into applied skills. Those pathways will help students, faculty, working adults and technical professionals use AI, including open source models and technologies, in fields like physical AI and automation, healthcare, energy, agriculture, manufacturing, quantum computing and cybersecurity.