NVIDIA Academic Grant Program (web)

Citation

NVIDIA. “Academic Grant Program: Accelerating Innovation in Academia.” Program page, date not stated. https://www.nvidia.com/en-us/industries/higher-education-research/academic-grant-program/. Read 2026-10-15.

Bottom line

The NVIDIA Academic Grant Program is “currently not accepting new applications”. The page still shows the rules and the last calls for proposals.
Awards are GPU hours or hardware, up to “30,000 NVIDIA H100 80 GB hours” in each topic area. Only full-time faculty at PhD-granting institutions can apply.
The project must use NVIDIA models or software. Past winners must report results before they can win again.

Background

The program gave cloud, hardware and software grants to university researchers. It also gave letters of support and promotion at NVIDIA events. The page lists three call topics, a proposal template, an example proposal and a webinar.

Key claims

Status: “While our Academic Grant Program is currently not accepting new applications, we remain committed to supporting the research community.” (Advancing Academic Research)
Benefits: “Receive NVIDIA cloud, hardware, and/or software grants for research.” “Get access to NVIDIA models.” “Receive letters of support for grant applications related to your project.” (Program Benefits)
Applicant: “Must be a full-time faculty member at an accredited academic institution that awards research degrees to PhD students.” “Submissions accepted worldwide.” (Program Requirements, 1. Applicant)
Repeat awards: “Previous winners must submit results through the program portal to be eligible for another award.” (Program Requirements, 1. Applicant)
Proposal: “Must adhere to the requirements included in the proposal template and relevant call for proposals (CFP).” (Program Requirements, 2. Proposal)
Project: “Must incorporate pretrained models from ai.nvidia.com and/or make extensive use of NVIDIA software distributions.” (Program Requirements, 3. Project)
Timeline: “Timeline must align with the expected GPU hours dates and/or estimated hardware ship dates”. (Program Requirements, 3. Project)
Selection: “This is a competitive program. Not all projects that meet the eligibility requirements will be accepted.” (Program Requirements)
Calls for Proposals (Researchers):
- Simulation and Modeling: “Up to 30,000 NVIDIA H100 80 GB hours or up to eight NVIDIA RTX PRO™ 6000 GPUs”
- AI Training and Model Development: “Up to 30,000 NVIDIA H100 80 GB hours”
- AI Inference, Agents, and Systems Software: “2 NVIDIA DGX™ Sparks and up to 30,000 NVIDIA H100 80 GB hours.”
Screening: “Applications that don’t adhere to the proposal template won’t be reviewed.” (Calls for Proposals)
Declines: “Proposals may be declined for a variety of reasons, including but not limited to lack of details, failure to adhere to the CFP requirements or proposal template instructions, misalignment with topic area, lack of experience with NVIDIA technology, etc.” (Frequently Asked Questions)
Paid tier: “NVIDIA provides discounts on hardware and software for the groundbreaking work they do.” (Additional Resources To Explore)

Evidence and method

The program’s own page.

Limits

The page does not state who reviews. It says that “members of our reviewer team” host the webinar.
The page does not state when the program may reopen.
The page does not state the duration of a GPU-hours award. It refers to “expected GPU hours dates” in an FAQ item that the copy does not show.
The page does not state acknowledgement duties or usage rules beyond the NVIDIA technology requirement.

Source file: wiki/sources/NVIDIA Academic Grant Program (web).md, updated 2026-10-15.