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NVIDIA's K-12 AI Education Pledge, announced at a White House event aligning with the executive order on Advancing Artificial Intelligence Education for American Youth, commits $25 million to scale AI literacy in U.S. K-12 classrooms.
The initiative integrates NVIDIA Deep Learning Institute (DLI) and NVIDIA Academy content through two K-12 learning platforms, Study Fetch and CK-12, tailoring hands-on AI experiences for high school students and educators. In year one NVIDIA focuses on curriculum development, platform integration, educator training, institutional engagement, and outreach efforts.
The stated reach target is 1 million K-12 students within three years, supporting AI literacy, foundational machine learning skills, and pathways into the AI economy. The pledge complements NVIDIA's prior commitments of $30 million to the National AI Research pilot (NAIRR) and ongoing NSF partnerships supporting academic AI research.
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Or search similar grants →According to the current listing, eligibility includes: K-12 schools, districts, educators, and students access NVIDIA AI curriculum through Study Fetch and CK-12 platforms. There is no public open application portal for direct cash grants from NVIDIA under this pledge; benefits are delivered through participating Study Fetch and CK-12 platform memberships and NVIDIA Academy programs. Educators, schools, and districts interested in participating engage through the NVIDIA Academy, Study Fetch (www.studyfetch.com), and CK-12 (www.ck12.org/student) platforms. Confirm the full requirements in the official notice before applying.
The current listing shows $25,000,000 total commitment from NVIDIA over multiple years to support K-12 AI education programs. Funding is delivered through curriculum integration, educator training, platform development, and outreach. Specific per-school or per-recipient awards are determined through the NVIDIA Deep Learning Institute and Study Fetch and CK-12 partner programs. Verify award ceilings, matching requirements, and allowable costs in the official notice.
NVIDIA $25 Million K-12 AI Education Pledge with Study Fetch and CK-12 for Deep Learning Institute Curriculum is funded by NVIDIA. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Microsoft AI for Accessibility is a grant program that supports developers, nonprofits, researchers, and startups building artificial intelligence tools that empower people with disabilities and advance disability inclusion. Grants range from $25,000 to $250,000 and may include Azure compute credits, technical support, and access to Microsoft AI experts, with award sizes depending on project scope and available funds. The program targets AI solutions across employment, daily life, and communication that expand accessibility and independence for people with disabilities.
Microsoft's AI for Accessibility programme is a multi-year, USD 25,000,000 commitment funding nonprofits, universities and research organisations that build AI-powered solutions for people with disabilities. Individual grants range from USD 25,000 to USD 250,000, and the current cycle carries a deadline of 31 December 2026 - a year-end date that is unusually generous compared with the tight windows typical of corporate AI grantmaking, and one that rewards taking time to build a properly co-designed proposal rather than rushing. Scope covers AI applied to disability and accessibility across a growing range of tools: reducing barriers, supporting communication, improving independence, and providing caregiving assistance at scale. In practice this spans assistive technology, artificial intelligence, accessibility and software development, and the programme's framing - empowering people living with disabilities - signals that proposals grounded in lived experience and disability community partnership will read more strongly than technically impressive tools designed for rather than with disabled users. Eligibility is limited to nonprofit organisations and universities; the programme is generally open across the United States, though applicants should verify specific requirements directly with Microsoft since corporate programmes of this kind can carry country-level and entity-level conditions not stated in summary listings. One practical caveat: the award composition is not published. Microsoft's philanthropic programmes frequently combine cash with Azure credits, and a grant delivered largely as cloud credit funds a very different project plan than an equivalent cash award. Confirming the split with Microsoft before finalising a budget is worth the email. Application preparation involves confirming eligibility, gathering documentation, drafting the narrative and preparing a budget.
The F5 2026 STEM and AI Education Grants support nonprofits implementing STEM and AI education initiatives that prepare youth and underserved learners in Africa, Asia, and Latin America for the AI-driven economy. Funded organizations design programs that introduce AI literacy, foundational computational thinking, applied machine-learning projects, ethics of AI use, and pathways into STEM careers for students who would otherwise lack access. F5 prioritizes culturally adapted curricula, community-led delivery, partnerships with local schools and universities, and approaches that explicitly include girls, refugees, rural learners, and other underrepresented groups. Funded projects must demonstrate measurable learner outcomes and a clear sustainability plan beyond the grant period.
On October 8, 2026, eleven companies pledged $2.4 billion in AI tools and compute credits to the Genesis Mission Consortium. Nvidia's $1 billion runs over five years, no allocation rules exist yet, and the credits flow to 15+ federal agencies, not to principal investigators. What that means for proposals.
Read articleNVIDIA committed $250 million over five years to UK agentic safety and security research, delivered as compute access through UK-based Cloud Partners. No open call, no cash, and the commercial terms are not yet agreed. A breakdown of compute-as-grant and how to budget for it.
Read articleNSF 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.
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