# 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. ## 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](https://www.nvidia.com/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. [Find a Local Partner](https://developer.nvidia.com/education-pricing) ### Open Hackathons and Bootcamps * Accelerate and optimize research applications with mentors by your side. [Learn More About Open Hackathons](https://www.openhackathons.org/s/upcoming-events) ### NVIDIA Research * Explore work by NVIDIA's world-class researchers across AI, deep learning, parallel computing, and more. [Learn More About NVIDIA Research](https://www.nvidia.com/en-us/research.md) ### 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](https://www.nvidia.com/en-us/startups.md) ### Publications * Gain insight into some of our leading-edge research. [Learn More About NVIDIA Research](https://research.nvidia.com/publications) ### NVIDIA On-Demand * Watch the latest videos on AI breakthroughs and real-world applications—free and on your schedule. [Watch On Demand](https://www.nvidia.com/en-us/on-demand.md) ## 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. * Previous winners must submit results through the [program portal](https://academicgrants.nvidia.com/academicgrantprogram/s/welcome) to be eligible for another award. ### 2. Proposal * Must adhere to the requirements included in the [proposal template](https://dam-cdn.nvd.orangelogic.com/AssetLink/018j4r345clka410y86vh08bbu5xj3d0.docx) and relevant call for proposals (CFP). * Tip: check out our [example proposal](https://nvcrm.my.salesforce.com/sfc/p/400000009E3I/a/Vv0000066W4z/4xbY9MSvhlVbf0tF_UvRjb4NFeWhVPR7cVfEDdumHWY) to see what a high-quality submission looks like. ### 3. Project * Must incorporate pretrained models from [ai.nvidia.com](http://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](https://www.nvidia.com/en-us/industries/higher-education-research/academic-grant-program/#nv-accordion-57fe9a47bc-item-53135a750f). This is a competitive program. Not all projects that meet the eligibility requirements will be accepted. ## Calls for Proposals ## Researchers NVIDIA is requesting proposals from academic researchers who are working in the following subject areas. #### Simulation and Modeling 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](https://nvdam.widen.net/s/8zgfxfhgmc/her-copy-and-design-grant-program-cfps-sim-and-modeling-3370121-r2) #### 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](https://nvdam.widen.net/s/vgnbdlswh9/her-copy-and-design-grant-program-cfps-gen-ai-training-and-model-dev) #### 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](https://nvdam.widen.net/s/mtjjpdjwsw/her-grant-program-cfps-ai-inference-agents-and-systems-software-4989267-web) [Apply Now](https://academicgrants.nvidia.com/academicgrantprogram/s/welcome) 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. ## Proposal Resources Before you craft your proposal, we highly recommend reviewing the resources below to ensure your submission meets the prerequisites. ### Proposal Template All submissions must adhere to the requirements included in the [proposal template](https://dam-cdn.nvd.orangelogic.com/AssetLink/018j4r345clka410y86vh08bbu5xj3d0.docx). 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](https://www.nvidia.com/en-us/on-demand/session/other25-nvidia-agp/) 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. ### Example Proposal Review the [example proposal](https://nvcrm.my.salesforce.com/sfc/p/#400000009E3I/a/Vv0000066W4z/4xbY9MSvhlVbf0tF_UvRjb4NFeWhVPR7cVfEDdumHWY) 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,](https://arxiv.org/pdf/2506.00214) which combines generative models with advanced inference to deliver scalable, interpretable urban flow simulations. The framework was built using [NVIDIA PhysicsNeMo](https://developer.nvidia.com/physicsnemo). [Read About Urban Flow Simulations](https://www.nvidia.com/en-us/case-studies/vinuesalab-urban-flow-ai.md) #### 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](https://blogs.nvidia.com/blog/boston-childrens-virtualhip-ai/) #### 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](https://blogs.nvidia.com/blog/uc-santa-cruz-maps-coastal-flooding/) [Subscribe](https://www.nvidia.com/en-us/industries/higher-education-research/#subscribe-me-solutions) 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](https://dam-cdn.nvd.orangelogic.com/AssetLink/018j4r345clka410y86vh08bbu5xj3d0.docx) 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](https://forums.developer.nvidia.com/), which are moderated by NVIDIA experts and community members. For hardware-related information, please visit our [customer support page](https://www.nvidia.com/en-us/support.md) for answers to common questions or to chat with live support. To receive future program updates, join the NVIDIA Developer Program. [Sign Up](https://developer.nvidia.com/developer-program?ncid=pa-srch-goog-740190#cid=dev03_pa-srch-goog_en-us) ## Get the Latest From NVIDIA on Higher Education and Research Welcome back. Not you? Log Out Welcome back. Not you? Clear form #### 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](https://developer.nvidia.com/blog/detecting-real-time-waste-contamination-using-edge-computing-and-video-analytics/)