이미지: METAL LAB 생성
Summary
- NVIDIA announced it is joining the NSF's "State and Regional AI Infrastructure Hubs" program
- The move expands NVIDIA's 2020 partnership with the University of Florida (UF) into a nationwide model
- Alongside infrastructure, the program will also build AI workforce pathways such as degrees and certificates
- 발표일
- 2026년 8월 4일
- 프로그램명
- NSF State and Regional AI Infrastructure Hubs
- 연계 정책
- Genesis Mission
- 선행 프로그램
- NSF 주도 NAIRR 파일럿
- 참조 모델
- NVIDIA-UF 파트너십(2020년 시작)
- UF AI 전담 교수진
- 300명 이상, 16개 단과대학 전반
- UF AI 연구비
- 2017년 이후 5억1100만 달러 이상
Joining the NSF regional AI hub program
NVIDIA announced it will participate in the "State and Regional AI Infrastructure Hubs" program launched today by the U.S. National Science Foundation (NSF). The program aims to expand access to advanced computing, data, software, and specialized talent needed for AI-driven research and education.
The program aligns with the direction of the "Genesis Mission," a national AI strategy that has continued since the Biden administration. It supports groups of universities and colleges across multiple states working together to strengthen the U.S. AI ecosystem, and is structured to involve private companies, philanthropic organizations, and state and local governments.
Closing the access gap through shared resources
The hubs are designed with flexibility, allowing each regional consortium to configure resources according to local circumstances — whether through on-premises infrastructure, cloud computing, or a combination of both. NVIDIA explained that this approach creates a pathway for institutions that have previously been excluded from advanced AI research and education to take part.
This approach expands into a nationwide model the partnership NVIDIA formed in 2020 with co-founder Chris Malachowsky and the University of Florida (UF). Through that partnership, UF grew into a hub providing AI computing access to public universities across the entire state of Florida.
What the University of Florida case shows
| Metric | Before 2020 | Now |
|---|---|---|
| Faculty dedicated to AI | Small | Over 300 |
| Scope of AI teaching and research application | Limited to a few departments | All 16 colleges |
| Cumulative AI research funding (since 2017) | - | Over $511 million |
NVIDIA stated that the UF case has "become a national model." NVIDIA also noted that it was named a key participating company in the NSF-led National AI Research Resource (NAIRR) pilot program, which underpins this latest announcement. Through NAIRR, NVIDIA has worked with university research teams across the country to help translate computing resources into real scientific outcomes.
Related coverage of AI infrastructure investment trends by METAL LAB has also tracked the growing trend of computing support for universities and research institutions.
Infrastructure alone is not enough — workforce training runs in parallel
NVIDIA emphasized that infrastructure expansion alone cannot make a successful national AI strategy. Universities, community colleges, and regional partners need to build pathways — through degree programs, short-term certificates, and stackable credentials — that allow learners to progress from basic AI literacy to practical applied skills.
The company explained that these pathways are intended to help students, faculty, working professionals, and technical experts in fields such as physical AI and automation, healthcare, energy, agriculture, manufacturing, quantum computing, and cybersecurity use AI tools, including open-source models.
NVIDIA's role
NVIDIA said it will provide training materials, educator support, applied learning content, technical guides, and access to partner platforms and tools to help institutions move from AI awareness to genuine hands-on capability. The company added that even as these education and training programs evolve, the goal remains the same: to help institutions build repeatable, publicly available programs that enable learners to responsibly use AI systems, accelerated computing, and data workflows.
