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Accelerating Innovation in Academia

Submit your research proposal to the NVIDIA Academic Grant Program.

Benefits
Program Requirements
Calls for Proposal
Use Cases
FAQ

Benefits

Benefits
Program Requirements
Calls for Proposal
Use Cases
FAQ

Apply Now

Advancing Academic Research

The NVIDIA Academic Grant Program advances academic research by providing world-class computing access and resources to researchers.

Program Benefits

Accelerate Anywhere

› 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.

Promotion Opportunities

› Have the opportunity to present at GTC and network through NVIDIA’s global channels.

› Be considered for NVIDIA marketing support.

Program Requirements

To qualify for the Academic Grant Program, you must satisfy all of the requirements listed below. Submissions accepted worldwide.

1. Applicant

› Must be a full-time faculty member at an accredited academic institution that awards research degrees to PhD students.

2. Proposal

› Must adhere to the requirements included in the proposal template and relevant call for proposals (CFP).

3. Project

› Must be accelerated with NVIDIA technology.

This is a competitive program. Not all projects that meet the eligibility requirements will be accepted. 

Calls for Proposal

Researchers

NVIDIA is requesting proposals from academic researchers who are working in the following subject areas.

Data processing, operational research, and more.

Data Science

Areas of interest include data processing, operational research and route optimization, statistical methods, graph analytics, and graph neural networks.

Submit Your Data Science Project

Edge AI

Areas of interest include robotics and autonomous vehicles, 5G/6G, smart spaces, and federated learning.

Submit Your Edge AI Project

Generative AI and Large Language Models

Areas of interest include new approaches and architectures for generative AI, foundation models for science, and techniques for training, customizing, and accelerating gen AI.

Submit Your Generative AI and LLM Project

3D Earth visualization with dynamic fluid patterns and atmospheric data

Simulation and Modeling

Areas of interest include computational fluid dynamics, physics-informed machine learning, quantum computing, and scientific simulation.

Submit Your Simulation and Modeling Project

Graphics and Vision

Areas of interest include augmented and virtual reality, ray tracing, rendering, simulation, and AI for graphics.

Submit Your Graphics and Vision Project

Apply Now

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.

Previously Funded Projects

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

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

Street View to the Rescue: Deep Learning Paves the Way to Safer Buildings

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.

Read about automated building evaluations

Frequently Asked Questions

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. Applications may be reviewed immediately upon submission - incomplete applications will be declined.

Table description text placeholder
Proposal Submission Date	Decision Date	GPU Hours Dates	Estimated Hardware Ship Date
January 1–March 31	June	July 1–December 31	August
April 1–June 30	September	October 1–March 31	November
July 1–September 30	December	January 1–June 30	February
October 1–December 31	March	April 1–September 30	May

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 or proposal template instructions, 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:

Acknowledge NVIDIA Corporation in any resulting publications
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

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.

Still have questions? Reach out to our team.

Accelerating Innovation in Academia

Advancing Academic Research

Program Benefits

Accelerate Anywhere

Grant Application Support

Promotion Opportunities

Program Requirements

1. Applicant

2. Proposal

3. Project

Calls for Proposal

Researchers

Data Science

Edge AI

Generative AI and Large Language Models

Simulation and Modeling

Graphics and Vision

Previously Funded Projects

Detecting Real-Time Waste Contamination Using Edge Computing and Video Analytics

Boston Children’s Researchers Deploy AI Across Their Hip Clinic to Support Patients and Doctors

Street View to the Rescue: Deep Learning Paves the Way to Safer Buildings

Frequently Asked Questions

I don’t see a CFP that aligns with the work I’m doing. Should I still apply?

When will I find out if I’m selected for a grant?

When are benefits available to successful applicants?

My proposal was declined. Can you tell me why?

What are the commitments if I’m selected?

If our research lab has multiple projects, can we apply more than once?

If my proposal was declined, can I apply again?

I received a grant. Where can I go for technical support?

What type of grant options are offered through this program?

Does NVIDIA require any intellectual (IP) rights in the project?

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