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Find similar grantsNVIDIA AI Education Funding for K-12 Programs is sponsored by NVIDIA. NVIDIA commits to enabling learning programs adapted from the NVIDIA Deep Learning Institute, focusing on K-12 AI education.
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NVIDIA Pledges AI Education Funding for K-12 Programs | NVIDIA Blog NVIDIA today announced new AI education support for K-12 programs at a White House event to celebrate public-private partnerships that advance artificial intelligence education for America’s youth.
The commitment comes after recent NVIDIA announcements to support AI education and academic research, including a $30 million contribution to the National AI Intelligence Research pilot and a U.S. National Science Foundation partnership in support of academic research. Over the last five years, NVIDIA has invested $125 million in higher education and academic research in the United States.
Pledging $25 million in support with AI education programs, NVIDIA is partnering with Study Fetch and CK-12 — two leading K-12 learning platforms — to tailor the NVIDIA Deep Learning Institute (DLI) and NVIDIA Academy content offerings to meet the instructional needs of U.S. K-12 classrooms. The NVIDIA effort aligns with the White House executive order Advancing Artificial Intelligence Education for American Youth, announced in April.
Additionally, in support of the executive order, NVIDIA signed the White House’s Pledge to America’s Youth: Investing in AI Education, committing to delivering AI literacy, credentialing and educator enablement. Supporting America’s Educators in Driving AI Literacy In the first year, NVIDIA will support curriculum adaptation, platform integration, educator training, institutional engagement and ecosystem-wide outreach.
The NVIDIA DLI program integrations with Study Fetch and CK-12 will make available NVIDIA’s industry-leading training materials to help empower high school educators in applying DLI Teaching Kits. NVIDIA DLI courses are geared toward teaching professional skills to developers.
NVIDIA is partnering with Study Fetch and CK-12, which will curate the course material content for high school students to get hands-on experience with AI, aiming to spark curiosity, build practical skills and prepare the next generation of job seekers to thrive in the AI-driven economy. The NVIDIA partnership aims to reach 1 million K-12 students within three years.
Preparing the Next Generation for AI Leadership The White House initiative and NVIDIA commitments are united on a central mission to drive American leadership in AI. Winning the AI Race: America’s AI Action Plan was announced in July by the White House, supported with executive orders to accelerate federal permitting of data center infrastructure and promote exportation of the American AI technology stack.
Aligned with the White House AI Action Plan, NVIDIA and the U.S. National Science Foundation recently committed $152 million in support to Ai2 for the development of open AI models to drive U.S. academic and nonprofit scientific leadership.
Industry Leaders Unite in Open Secure AI Alliance for AI Safety and Security NVIDIA Open Sources First GPU-Accelerated Medical Physics Simulation Framework Built in Fort Worth: Wistron Opens Advanced Manufacturing Plant to Produce NVIDIA AI Systems NVIDIA and Partners Build in America, for America Enter your Mastodon instance URL (optional)
According to the current listing, eligibility includes: K-12 learning programs. Confirm the full requirements in the official notice before applying.
NVIDIA AI Education Funding for K-12 Programs is funded by NVIDIA. Verify program details on the funder's official page before applying.
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NVIDIA's Academic Hardware Grant Program donates GPU hardware to qualifying academic researchers, with a specific track focused on AI Safety and Trustworthy AI research (including interpretability, alignment, evaluation, red-teaming, and bias/fairness). Awardees receive workstation- or datacenter-class NVIDIA GPUs delivered to their institutions for use in research projects. Applications are accepted on a rolling basis through the NVIDIA Higher Education and Research portal. Projects must produce a publishable research output or open-source artifact and acknowledge NVIDIA's hardware contribution. The AI Safety track is specifically highlighted by NVIDIA's collaboration with the AI Safety Directory and prioritizes researchers working on interpretability, evaluations, robustness, and trustworthy ML. Strong fit for graduate students, postdocs, and early-career faculty doing AI safety, alignment, or interpretability research at universities without existing GPU access, as well as nonprofit AI safety research organizations.
NVIDIA's Applied Research Accelerator Program provides academic researchers with GPU hardware, cloud compute, and cash support in three tiers: Base ($20K for projects with real-world impact potential), Adoption ($60K for projects with commercial or government adoption plans), and Production ($160K when organizations invest in production conversion). The program supports research with practical applications in GPU-accelerated computing, AI, machine learning, data analytics, and HPC. Applications are reviewed quarterly with four annual cycles: Q1 submissions decided June, Q2 decided September, Q3 decided December, Q4 decided March.
NSF 26-513 makes roughly $100 million available for up to 10 State and Regional AI Infrastructure Hubs at $4M to $12M each over five years. One award per state or multi-state region. One proposal per organization. And NSF is not buying you GPUs — it funds the coordination, the workforce and the faculty training, while the compute has to come from partners you have to already have.
Read articleThe OMAI project — led by AI2, funded by NSF and NVIDIA — will create fully open multimodal AI models for scientific research. For researchers priced out of commercial AI, this changes the equation.
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