Jen-Hsun & Lori Huang Foundation

The Jen-Hsun & Lori Huang Foundation is a private grantmaking foundation that operates without a public application portal. All grantmaking is conducted by invitation and through pre-existing relationships with institutional partners. Jensen Huang (NVIDIA CEO) and Lori Huang have concentrated their philanthropy on a select group of elite research universities and institutions they have deep personal connections with. Prospective recipients should focus on building relationships with NVIDIA leadership or faculty at partner institutions such as Stanford and Carnegie Mellon. The foundation responds strongly to proposals tied to artificial intelligence, computing architecture, STEM education access, and life sciences research. Grants are typically transformative in scale — often $10M to $50M — and are structured as multi-year commitments. Cold outreach via a website or standard grant portal does not apply here; the path to funding runs through institutional relationships and strategic alignment with the Huangs' known philanthropic priorities.

The Huang Foundation has dramatically scaled its grantmaking over the past five years, driven by Jensen Huang's enormous personal wealth accumulation as NVIDIA's stock surged. In fiscal year 2023, distributions reached $123.2 million — double the $61.1 million distributed in 2022 and triple the foundation's early-2020s run rate. Total assets stood at $9.2 billion as of the most recent IRS data, reflecting the foundation's continued growth as a major force in American philanthropy. The foundation does not publish a public grantee list, but press coverage and university announcements confirm transformative gifts to Stanford University (including a $50M gift to its computer science department), Oregon Health & Science University, Carnegie Mellon University, and multiple YMCA chapters in the Bay Area. The minimum qualifying distribution requirement under IRS rules for private foundations (approximately 5% of assets annually) implies the foundation must distribute roughly $460 million per year at current asset levels — suggesting significant unreported or undisclosed grantmaking or that distributions will continue to scale. Grants are overwhelmingly in the $5M–$50M range, with no small or exploratory grants evident in available data.

The Huang Foundation is notable for its exceptionally high asset-to-distribution ratio compared to peers, retaining far more assets relative to its giving than foundations like Simons or Moore. This suggests the foundation is either in an asset-accumulation phase or plans to dramatically accelerate giving in coming years.

In 2023 and 2024, the Jen-Hsun & Lori Huang Foundation significantly increased its philanthropic activity in parallel with NVIDIA's historic stock appreciation. Jensen Huang pledged $50 million to Stanford University's computer science and AI research programs in 2024, one of the largest gifts in Stanford's history for that domain. The couple also made a reported $30 million gift to Oregon Health & Science University for cancer research. NVIDIA-adjacent philanthropy has focused heavily on AI infrastructure, responsible AI research, and university partnerships that feed directly into NVIDIA's research ecosystem. The Huang Foundation's distributions more than doubled from 2022 to 2023 ($61M to $123M), with the trend line pointing toward $200M+ in annual giving as assets continue to compound. No RFPs, notice of funding availability, or application guidelines have been published publicly.

1. Do not search for a grant application portal — none exists. The Huang Foundation funds exclusively through direct relationships and invitation. 2. The strongest path to consideration is an institutional relationship: if your university or research center has an existing partnership with NVIDIA or Stanford, leverage that connection. 3. Align proposals explicitly with AI/computing research, STEM education access for underrepresented students, or life sciences/cancer research — these are the documented priority areas. 4. Grants are large and multi-year; come prepared with a transformative, systems-level ask rather than a project grant request. 5. Monitor Stanford, CMU, and OHSU for partnership announcements that may signal co-funding opportunities. 6. Jensen Huang is personally involved in grant decisions; proposals that align with his stated public interests in AI's role in science and education are most likely to attract attention.