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Find similar grantsNVIDIA Academic Grant Program: AI Training and Model Development is sponsored by NVIDIA. NVIDIA solicits proposals for innovative projects related to generative AI, particularly small and large language models, multimodal models, and diffusion models, with focus on training techniques, scaling, customization, and exploring new architectures for AI systems.
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Academic Grant Program for Researchers | NVIDIA Accelerating Innovation in Academia Advancing Academic Research NVIDIA partners with the world's leading university researchers to drive the next wave of technological breakthroughs. While our Academic Grant Program is currently not accepting new applications, we remain committed to supporting the research community. Here are some additional resources to help support your research needs.
› 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. Additional Resources To Explore Hardware and Software Discounts for Education To better enable faculty, students, and researchers, NVIDIA provides discounts on hardware and software for the groundbreaking work they do.
Open Hackathons and Bootcamps Accelerate and optimize research applications with mentors by your side. Learn More About Open Hackathons Explore work by NVIDIA's world-class researchers across AI, deep learning, parallel computing, and more. Learn More About NVIDIA Research Inception Program for Startups Great research doesn't stop at publication - it sparks companies.
NVIDIA Inception is a free program that helps researchers take breakthroughs from the lab to market. Learn More About NVIDIA Inception Gain insight into some of our leading-edge research. Learn More About NVIDIA Research Watch the latest videos on AI breakthroughs and real-world applications—free and on your schedule.
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 Stay Up to Date on Higher Education and Research News From NVIDIA Frequently Asked Questions 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. 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. To receive future program updates, join the NVIDIA Developer Program.
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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 Detecting Real-Time Waste Contamination Using Edge Computing and Video Analytics Waste generation has increased significantly due to economic growth and urbanization, which has led to management challenges.
Despite classification systems, much waste is still improperly disposed of because of contamination. Explore the solution that uses the NVIDIA Metropolis framework, including Jetson™, TAO Toolkit, and DeepStream SDK, to detect plastic bag contamination in waste trucks. Read about real-time detection Venture Capital (NVentures) Professional Services for Data Science
According to the current listing, eligibility includes: Full-time faculty at accredited academic institutions that award research degrees to Ph. D. students. Postdocs and graduate students must work with a full-time faculty member to submit on their behalf. Confirm the full requirements in the official notice before applying.
The current listing shows up to 30,000 H100 80 GB GPU hours or equivalent compute resources. Verify award ceilings, matching requirements, and allowable costs in the official notice.
NVIDIA Academic Grant Program: AI Training and Model Development is funded by NVIDIA. 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.
NVIDIA's Academic Hardware Grant Program donates GPU hardware to qualifying academic researchers, with a specific track focused on AI Safety and Trustworthy AI research (including interpretability, alignment, evaluation, red-teaming, and bias/fairness). Awardees receive workstation- or datacenter-class NVIDIA GPUs delivered to their institutions for use in research projects. Applications are accepted on a rolling basis through the NVIDIA Higher Education and Research portal. Projects must produce a publishable research output or open-source artifact and acknowledge NVIDIA's hardware contribution. The AI Safety track is specifically highlighted by NVIDIA's collaboration with the AI Safety Directory and prioritizes researchers working on interpretability, evaluations, robustness, and trustworthy ML. Strong fit for graduate students, postdocs, and early-career faculty doing AI safety, alignment, or interpretability research at universities without existing GPU access, as well as nonprofit AI safety research organizations.
NVIDIA's Applied Research Accelerator Program provides academic researchers with GPU hardware, cloud compute, and cash support in three tiers: Base ($20K for projects with real-world impact potential), Adoption ($60K for projects with commercial or government adoption plans), and Production ($160K when organizations invest in production conversion). The program supports research with practical applications in GPU-accelerated computing, AI, machine learning, data analytics, and HPC. Applications are reviewed quarterly with four annual cycles: Q1 submissions decided June, Q2 decided September, Q3 decided December, Q4 decided March.
NSF 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.
Read articleThe OMAI project — led by AI2, funded by NSF and NVIDIA — will create fully open multimodal AI models for scientific research. For researchers priced out of commercial AI, this changes the equation.
Read article