NVIDIA Academic Grant Program

NVIDIA Academic Grant Program is sponsored by NVIDIA. Supports full-time faculty at accredited institutions using NVIDIA technology in simulation and modeling, data science, robotics, and edge AI, which aligns with computational aspects of design engineering. This program should be reviewed carefully against your organization's mission, staffing capacity, timeline, and compliance readiness before you commit resources to a full application. Strong submissions usually translate sponsor priorities into concrete objectives, clear implementation milestones, and measurable public benefit.

For planning purposes, treat rolling deadlines or periodic funding windows as your working submission target unless the sponsor publishes an updated notice. A competitive project plan should include a documented need statement, implementation approach, evaluation framework, risk controls, and a realistic budget narrative. Even when a grant allows broad program design, reviewers still expect credible evidence that the proposed work can be executed within the grant period and with appropriate accountability.

Current published award information indicates $50,000 - $200,000 Organizations should verify the final funding range, matching requirements, and allowability rules directly in the official opportunity materials before preparing a budget. Finance and program teams should align early so direct costs, indirect costs, staffing assumptions, procurement timelines, and reporting obligations all remain consistent throughout drafting and post-award administration.

Eligibility guidance for this opportunity is: Full-time faculty at accredited academic institutions If your organization has partnerships, subrecipients, or collaborators, define responsibilities and compliance ownership before submission. Reviewers often look for implementation credibility, so letters of commitment, prior performance evidence, and a clear governance model can materially strengthen the application narrative and reduce concerns about delivery risk.

A practical approach is to begin with a focused readiness review, then build a workback schedule from the sponsor deadline. Confirm required attachments, registration dependencies, and internal approval checkpoints early. This reduces last-minute issues and improves submission quality. For the most accurate requirements, always rely on the official notice and primary source links associated with NVIDIA Academic Grant Program.

Academic Grant Program for Researchers | NVIDIA Visit your regional NVIDIA website for local content, pricing, and where to buy partners specific to your country.

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Nemotron AI Microservices - CUDA-X Data Science - Apache Spark Decision Optimization - cuOpt Industrial AI - Omniverse Intelligent Video Analytics - Metropolis Telecommunications - Aerial Simplify AI development with NVIDIA AI Workbench on GPUs Explore NVIDIA's AI models, blueprints, and tools for developers AI and HPC software solutions for data center acceleration Monitor and manage GPU performance in cluster environments Explore NVIDIA developer tools for AI, graphics, and HPC Discover GPU-optimized AI, HPC, and data science software Optimize enterprise GPU management Accelerate AI and HPC workloads with NVIDIA GPU Cloud solutions Enhance multi-display productivity with NVIDIA RTX Desktop Manager RTX Accelerated Creative Apps Creative tools and AI-powered apps for artists and designers AI-powered audio and video enhancement Add intelligence and efficiency to your business with AI and machine learning Build AI agents designed to reason, plan, and act Powering a new class of enterprise infrastructure for AI Enables natural, personalized interactions with real-time speech AI AI-driven solutions to strengthen cybersecurity and AI infrastructure Iterate on large datasets, deploy models more frequently, and lower total cost Drive breakthrough performance with AI-enabled applications and services Powering AI, HPC, and modern workloads with NVIDIA AI Data Platform for Enterprise Bringing enterprise storage into the era of agentic AI Full-stack infrastructure for scalable AI workloads Accelerated computing uses specialized hardware to boost IT performance On-demand IT resources and services, enabling scalability and intelligent insights Accelerate the scaling of AI across your organization High speed ethernet interconnect solutions and services Save energy and lower cost with AI and accelerated computing NVIDIA virtual GPU software delivers powerful GPU performance Streamline building, operating, and connecting metaverse apps Computer Aided-Engineering Develop real-time interactive design using AI-accelerated real-time digital twins Harness the power of large-scale, physically-based OpenUSD simulation Bring state-of-the-art rendering to professional workflows Innovative solutions to take on your robotics, edge, and vision AI challenges Enablies researchers to visualize their large datasets at interactive speeds AI-defined vehicles are transforming the future of mobility Transform workflows with immersive, scalable interactions in virtual environments High-Performance Computing Discover NVIDIA’s HPC solutions for AI, simulation, and accelerated computing Boost accuracy with GPU-accelerating HPC and AI Enables researchers to visualize large datasets at interactive speeds Accelerate simulation workloads Fast-tracking the advancement of scientific innovations with QPUs Innovative solutions to take on robotics, edge, and vision AI challenges GPU-accelerated advances in AI perception, simulation, and software Bring the power of NVIDIA AI to the edge for real-time decision-making solutions Transform data into valuable insights using vision AI AI-enhanced vehicles are transforming the future of mobility Open Source AV Models and Tools For reasoning-based AV systems Explore high-fidelity sensor simulation for safe autonomous vehicle development Enables vehicles to be L4-ready Essential data center tools for safe autonomous vehicle development Develop automated driving functions and immersive in-cabin experiences State-of-the-art system for AV safety, from the cloud to the car Architecture, Engineering, Construction & Operations Healthcare and Life Sciences Higher Education Research Higher Education Research 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 Areas of interest include data processing and analytics, operational research and route optimization, statistical methods, graph analytics, graph neural networks, and visual analytics.

Resources available : Up to 30,000 NVIDIA H100 80 GB hours or up to two NVIDIA DGX Spark™ supercomputers Submit Your Data Science Project Areas of interest include robotics and autonomous vehicles, 5G/6G, smart spaces, and federated learning.

Resources available : Up to 30,000 NVIDIA H100 80 GB hours, up to two NVIDIA AGX™ Developer Kits, and/or up to four NVIDIA RTX PRO™ 6000 GPUs (see CFP for product specifications) Submit Your Robotics and Edge AI 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 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 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.

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