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Rolling quarterly deadlines: Jan-Mar submitted → June decision, Apr-Jun → Sep, Jul-Sep → Dec, Oct-Dec → March. Stored deadline 2001-03-31 is wrong.
Academic Grant Program is sponsored by NVIDIA. NVIDIA's Academic Grant Program seeks proposals from full-time faculty members at accredited academic institutions using NVIDIA technology to advance work in Simulation and Modeling, Data Science, and Robotics and Edge AI. Proposals for the NVIDIA Graduate Fellowship Program are also invited, focusing on AI, robotics, and autonomous vehicles.
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Academic Grant Program for Researchers | NVIDIA Accelerating Innovation in Academia Submit your research proposal to the NVIDIA Academic Grant Program. Advancing Academic Research The NVIDIA Academic Grant Program advances academic research by providing world-class computing access and resources to researchers. › Receive NVIDIA cloud, hardware, and/or software grants for research.
› Get access to NVIDIA models. Grant Application Support › Receive letters of support for grant applications related to your project. › Have the opportunity to present at GTC and network through NVIDIA’s global channels.
› Be considered for NVIDIA marketing support. To qualify for the Academic Grant Program, you must satisfy all of the requirements listed below. Submissions accepted worldwide.
Must be a full-time faculty member at an accredited academic institution that awards research degrees to PhD students. Previous winners must submit results through the program portal to be eligible for another award. Must adhere to the requirements included in the proposal template and relevant call for proposals (CFP).
Tip: check out our example proposal to see what a high-quality submission looks like. Must incorporate pretrained models from ai. nvidia.
com and/or make extensive use of NVIDIA software distributions. Timeline must align with the expected GPU hours dates and/or estimated hardware ship dates as described in FAQ . This is a competitive program.
Not all projects that meet the eligibility requirements will be accepted. NVIDIA is requesting proposals from academic researchers who are working in the following subject areas. Areas of interest include scientific simulation, quantum computing, and physics-informed machine learning.
Resources available : Up to 30,000 NVIDIA H100 80 GB hours or up to eight NVIDIA RTX PRO™ 6000 GPUs Submit Your Simulation and Modeling Project AI Training and Model Development Areas of interest include techniques for training, scaling, and customizing gen AI, and exploring new approaches and architectures for gen AI.
Resources available : Up to 30,000 NVIDIA H100 80 GB hours Submit Your AI Training and Model Development Project AI Inference, Agents, and Systems Software Areas of interest include techniques for customizing, enhancing, and operating gen AI, exploring compound AI systems, and exploring systems software for AI. Resources available : 2 NVIDIA DGX™ Sparks and up to 30,000 NVIDIA H100 80 GB hours.
Submit Your AI Inference, Agents, and Systems Software Project Please make sure you’ve read the relevant call for proposal (CFP) and understand all of the program requirements before submitting your application. Applications that don’t adhere to the proposal template won’t be reviewed. Before you craft your proposal, we highly recommend reviewing the resources below to ensure your submission meets the prerequisites.
All submissions must adhere to the requirements included in the proposal template . Read the entirety of the template carefully before getting started to ensure you understand what information is necessary to be considered. Level Up Your Proposal Webinar Watch this 30-minute webinar to get expert guidance to help you craft a strong submission.
Hosted by program leads and members of our reviewer team, this webinar covers insider tips and best practices, common mistakes, and frequently asked questions. Review the example proposal to see what a high-quality proposal looks like. Use this to guide you as you craft your own proposal, paying special attention to the overall level of detail and formatting.
Previously Funded Projects University of Michigan's VinuesaLab Advances Urban Flow Simulations With NVIDIA PhysicNeMo Rapid urbanization challenges cities to monitor and simulate turbulent wind patterns for air quality, climate resilience, and infrastructure planning.
To meet this need, researchers at the University of Michigan developed Diff-SPORT, which combines generative models with advanced inference to deliver scalable, interpretable urban flow simulations. The framework was built using NVIDIA PhysicsNeMo .
Read About Urban Flow Simulations Boston Children’s Researchers Deploy AI Across Their Hip Clinic to Support Patients and Doctors Hip disorders, prevalent in young people, cause symptoms like stiffness and pain and are hard to diagnose with just 2D imaging. Boston Children's Hospital uses an AI tool, VirtualHip, developed on the NVIDIA DGX™ platform, to create 3D hip models, assess issues, and guide treatment.
Read about 3D generated analyses UC Santa Cruz Maps Coastal Flooding With NVIDIA Accelerated Computing At UC Santa Cruz, Professor Michael Beck and the Center for Coastal Climate Resilience use NVIDIA RTX™ GPUs and CUDA-X™ software to accelerate flood risk modeling and produce detailed visualizations.
Their research helps government agencies and NGOs assess flood risks and demonstrates how nature-based solutions, like coral reefs and mangroves, can help to reduce damage. Read About GPU-Accelerated Visualizations Frequently Asked Questions I don’t see a CFP that aligns with the work I’m doing. Should I still apply?
Projects that don’t align with the CFP selected will be declined. To be notified of future CFP announcements for academics, join the NVIDIA Developer Program . When is the submission deadline, and when will I find out if I’m selected for a grant?
Please refer to the dates below to determine when you can expect a decision on your application. Applications may be reviewed immediately upon submission - incomplete applications will be declined. Table description text placeholder Estimated Hardware Ship Date When are benefits available to successful applicants?
Please refer to the dates below to determine when you can expect to receive access to your cloud compute resources and/or hardware. Note, hardware shipping timelines vary greatly based on product and geography. Table description text placeholder Estimated Hardware Ship Date The ability to request letters of support for grant applications is available immediately.
What is the selection criteria used to evaluate projects? NVIDIA evaluates proposals based on the following factors: Demonstrable understanding of how to use NVIDIA technology, especially software and models Viability of project timeline and plan Compute request justification Additional factors that may contribute to award decisions include: Innovative or novel use case My proposal was declined. Can you tell me why?
Due to the volume of proposals we receive, we can’t provide individual feedback. 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. What are the commitments if I’m selected? Applicants agree to comply with the program agreement .
Awards provided are unrestricted gifts, and awardees are asked to: Acknowledge NVIDIA Corporation in any resulting publications and include mention of the NVIDIA hardware, software, and/or models utilized Provide an update every six months via a follow-up email questionnaire that asks for information about publications and presentations that NVIDIA’s support enabled Submit proposals to present research outcomes (if any) at GTC or other NVIDIA events to promote the project If our research lab has multiple projects, can we apply more than once?
One proposal per PI or research group is allowed per quarter, a maximum of four proposals annually. For example, one submission allowed in the first quarter, January–March. If my proposal was declined, can I apply again?
Only one submission per person per quarter is allowed. Please be sure to carefully review and adhere to the required proposal template to be sure your proposal is considered. I received a grant.
Can I apply again? Each individual applicant is eligible to receive only one award per calendar year using the expected decision date. Previous winners must submit results through the program portal to be eligible for another award.
I received a grant. Where can I go for technical support? For technology- and platform-related questions, please visit our Developer Forums , which are moderated by NVIDIA experts and community members.
For hardware-related information, please visit our customer support page for answers to common questions or to chat with live support. What type of grant options are offered through this program? Each CFP describes the grant options available to applicants.
Does NVIDIA require any intellectual (IP) rights in the project? No. NVIDIA has no intention of owning the IP developed under the NVIDIA Academic Grant Program. The goal of this program is to support innovative research projects.
Still have questions? Reach out to our team. Get the Latest From NVIDIA on Higher Education and Research back.
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Clear form Organization / University Name Architecture / Engineering / Construction Automotive / Transportation Healthcare & Life Sciences Higher Education / Academia Bonaire, Sint Eustatius and Saba British Indian Ocean Territory Congo, Democratic Republic of the Falkland Islands (Malvinas) French Southern Territories Heard Island and Mcdonald Islands Korea Democratic People's Republic of Lao People's Democratic Republic Micronesia, Federated States of Saint Pierre and Miquelon Saint Vincent and the Grenadines Saint-Martin (French part) South Georgia and the South Sandwich Islands United States Minor Outlying Islands Venture Capital (NVentures) Professional Services for Data Science
Scoring criteria used to review proposals for this grant.
Based on current listing details, eligibility includes: Full-time faculty members at accredited academic institutions using NVIDIA technology for research in specified interest areas; PhD students researching topics that will lead to major advances in accelerated computing and its applications. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Varies Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is March 31, 2001. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
Past winners and funding trends for this program
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.
NVIDIA Inception is a free virtual accelerator supporting over 19,000 AI startups globally with no equity stakes, fees, or rigid timelines. Benefits include AWS Activate credits ranging from $25,000 to $100,000, preferred GPU hardware and software pricing, free NVIDIA Deep Learning Institute training credits, SDK access and latest model libraries, networking through Inception Capital Connect with VC introductions, and marketing amplification through NVIDIA campaigns and case studies. The program operates year-round with no cohort restrictions and applications are accepted on a rolling basis.
The Public Diplomacy Section (PDS) is pleased to invite eligible applicants to submit program ideas to implement the American Cybersecurity Enhancement Program (ACEP) for Thai Entrepreneurs. PDS Bangkok prioritizes selecting the best-qualified proposal from applicants that show clear alignment with and capability to advance shared goals and U.S. government priorities and interests, highlighting U.S. innovation, entrepreneurship, and leadership. Applicants must demonstrate their intent to effectively and efficiently administer U.S. government funds in a way that strengthens the bilateral relationship between the United States and Thailand. This notice is subject to the availability of funding. Goal - The ACEP aims to introduce and leverage American technology, innovation, and standards to improve cybersecurity systems and create a more secure and safer digital environment in Thailand, thereby strengthening partnership between Thailand and the United States. This program will assist and prepare Thai entrepreneurs in mitigating the risks and damages of cyberattacks, stolen data, and financial losses. Objectives - The ACEP focuses on enhancing Thai entrepreneurs’ knowledge and skills in cybersecurity and introducing more secure systems by learning from American approaches and companies. This program also creates opportunities for Thai businesses to gain firsthand experience in implementing advanced cybersecurity measures. It will also encourage and create favorable conditions for U.S. business and economic partnership in Thailand. Target Audience - 45-60 beginning to mid-level entrepreneurs and SMEs that have been in business for 1 to 5 years with an interest in improving data safeguarding and cybersecurity systems. Proposed program activities should demonstrate strong ties to U.S. expertise, technology, and companies. This can include partnerships with U.S. organizations, the involvement of U.S. experts in the project, or collaboration with U.S. businesses Funding Opportunity Number: OFOP0001959. Assistance Listing: 19.040. Funding Instrument: CA. Category: O. Award Amount: $35K – $60K per award.
America's Seed Fund (SBIR/STTR) - Robotics (R) Topic is sponsored by National Science Foundation (NSF). This NSF SBIR/STTR topic focuses on robot intelligence and experiential learning, specifically in high-performance processors or hardware that provide situational awareness and improved artificial intelligence. It encourages innovations in voice, obstacle and image recognition, emotional response, and hand-eye coordination. Proposals that borrow features from animal nervous systems and include biologists, neuroscientists, and psychologists are also encouraged. The program also seeks proposals for next-generation automation, flexible assembly lines for mass customization, advanced control with agile robotic systems, and applications supporting individuals with disabilities, healthcare, smart drones, and personal robots.
Small Business Innovation Research (SBIR) Program: Artificial Intelligence (AI) is sponsored by National Science Foundation (NSF). This NSF SBIR topic focuses on cutting-edge technologies in deep learning-based AI systems and AI-based hardware. It emphasizes next-generation AI technologies that are safe, reliable, fair, robust against adversaries, privacy-preserving, and efficient. It also includes hardware technologies for sustainable AI, edge devices, and AI technologies that lead to better hardware systems.