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Find similar grantsFriedman & Gross AI Grant is sponsored by Friedman & Gross. This grant supports open-source AI projects. Funding can be provided as compute credits or cash, with no strings attached.
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AI Grant - hosted by Spark XYZ AI Grant — grants for open source projects AI Grant is a specialized startup accelerator founded by Nat Friedman (former GitHub CEO) and Daniel Gross (former YC partner) that focuses on funding early-stage AI startups and open-source projects. Format: A straightforward online application focusing on the founder's background, past projects, and the specific AI problem they are solving.
Focus: They look for "untraditional candidates" and technical builders pursuing ambitious, high-risk ideas. Sector: Exclusively for Artificial Intelligence projects and startups. Open Doors: Anyone can apply regardless of academic background or institutional affiliation.
Team: While it supports solo builders, it leans toward technical founders with a history of building. Online Submission: Founders apply via the official website during open batch cycles. Screening: A structured review process by a team of experienced builders and an "all-star" advisory board.
Batch Program: Selected startups enter an intensive program that provides access to world-class mentors and high-performance compute. Demo Day: The program culminates in a showcase where founders present to top-tier global investors. What an Applicant can Obtain Capital: $250,000 in upfront funding (standard for recent batches) or $5,000–$50,000 for open-source grants.
Compute: Access to massive amounts of Nvidia H100 GPU compute at no cost—a core "unfair advantage" of the program. Network: Direct mentorship from Nat Friedman and Daniel Gross, plus exposure to a network of elite investors.
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According to the current listing, eligibility includes: Open source projects in AI/ML platforms. No specific credentials required, focusing on technical and pragmatic founders building great products. Confirm the full requirements in the official notice before applying.
The current listing shows $5,000 - $50,000. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Friedman & Gross AI Grant is funded by Friedman & Gross. Verify program details on the funder's official page before applying.
Yes — this listing is flagged as national in scope, so applicants across the U.S. may apply, subject to the sponsor's other eligibility criteria.
Applications go through the funder's official portal — the Apply Now link on this page goes there directly.
Academic Grant Program (NVIDIA) is sponsored by NVIDIA. NVIDIA's Academic Grant Program seeks proposals from full-time faculty members at accredited academic institutions who are using NVIDIA technology to advance work in Simulation and Modeling, Data Science, and Robotics and Edge AI. Proposals should incorporate pretrained models from ai.nvidia.com and/or make extensive use of NVIDIA software distributions.
This NOFO provides an opportunity to all FY 2018 NIST SBIR Phase I awardees to submit a Phase II application following completion of Phase I. This NOFO provides instructions for FY 2019 NIST SBIR Phase II application preparation and submission requirements. In Phase II, work from Phase I that exhibits potential for commercial application is further developed. Phase II is the R&D or prototype development phase. To apply for a Phase II award, each Phase I awardee will be required to submit a comprehensive application outlining the proposed research and a detailed plan to commercialize the final product. Each NIST Phase II award is for up to $400,000 and up to a 24-month period of performance. One year after completing the Phase II R&D activity, the awardee shall be required to report on its commercialization activities. Up to an additional $6,500 may be requested for Technical and Business Assistance (TABA); see Section 5.11 for more information about TABA. Funding Opportunity Number: 2019-NIST-SBIR-02. Assistance Listing: 11.620. Funding Instrument: CA. Category: ST. Award Amount: Up to $400K per award.
NVIDIA Graduate Fellowship Program is a grant from NVIDIA providing up to $60,000 per award to PhD students conducting research that advances accelerated computing and its applications. Now in its 25th year, the program invites nominations from doctoral students pushing the boundaries of artificial intelligence, robotics, autonomous vehicles, and related fields. Recipients receive not only research funding but also access to NVIDIA technology, products, and engineering expertise, along with a mandatory in-person summer internship. Students are nominated by their faculty advisors and selected based on academic achievement and research area alignment.