Submit your research proposal to the NVIDIA Academic Grant Program.
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.
› 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.
› Must adhere to the requirements included in the proposal template and relevant call for proposals (CFP).
› Must be accelerated with NVIDIA technology.
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 new approaches and architectures for generative AI, foundation models for science, and techniques for training, customizing, and accelerating gen AI.
Areas of interest include computational fluid dynamics, physics-informed machine learning, quantum computing, and scientific simulation.
Areas of interest include data processing, operational research and route optimization, statistical methods, graph analytics, and graph neural networks.
Areas of interest include augmented and virtual reality, ray tracing, rendering, simulation, and AI for graphics.
Areas of interest include robotics and autonomous vehicles, 5G/6G, smart spaces, and federated learning.
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.
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.
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.
Professor Chaofeng Wang from the University of Florida uses Google Street View images and deep learning to automate urban building evaluations, aiding disaster mitigation efforts. This process, traditionally slow and manual, is expedited by NVIDIA DGX A100 systems, enhancing the speed and accuracy of building assessments post-disaster.
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.
Please refer to the dates below to determine when you can expect a decision on your application.
Once an award letter is sent, access to cloud compute resources is granted within approximately two weeks. The ability to request letters of support for grant applications is available immediately. Hardware shipping timelines vary greatly based on product and geography.
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, misalignment with topic area, lack of experience with NVIDIA technology, etc.
Applicants agree to comply with the program agreement. Awards provided are unrestricted gifts, and awardees are asked to:
Faculty can submit one proposal per CFP per calendar year.
Only one submission per CFP is allowed. Applying to more than one CFP is allowed.
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.
Each CFP describes the grant options available to applicants.
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.
NVIDIA Privacy Policy