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Accelerating Innovation with Applied Research

Join the NVIDIA Applied Research Accelerator Program.

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Advance Applied Academic Research

The NVIDIA Applied Research Accelerator Program supports research projects that have the potential to make a real-world impact through deployment into GPU-accelerated applications adopted by commercial and government organizations. This program is designed to accelerate development and adoption by providing access to technical guidance, hardware, and funding based on project requirements, maturity, and impact.

Program Benefits

Get access to NVIDIA’s hardware and software solutions

GPU Acceleration, Anywhere

Get access to NVIDIA’s hardware and software solutions for your project.
Qualify for grants to accelerate your applied research.

Take hands-on training through NVIDIA DLI

NVIDIA Technical Expertise

Take hands-on training through the NVIDIA Deep Learning Institute (DLI).
Access technical support and expertise to accelerate and optimize your use of NVIDIA technology.

Grant Application Support

Receive letters of support for grant applications related to your applied research project.

Present at GTC & network through global channels

Networking Opportunities

Have the opportunity to present at GTC and network through NVIDIA’s global channels.
Receive consideration for NVIDIA marketing support.

Program Requirements

Projects are eligible for the program if they are based on research that has been demonstrated to be feasible with an identified path to a GPU-accelerated application, which could be deployed within three years. If a supporting organization plans on adopting the GPU-accelerated application or a sponsoring organization is investing resources, the project may be eligible for additional hardware and/or funding.

Frequently Asked Questions

What level of benefits are available to projects selected for the Applied Research Accelerator Program?

Projects based on research that has been demonstrated to be feasible with an identified path to a GPU-accelerated application, which could be deployed within three years, are eligible for a hardware grant of up to four workstation GPUs or equivalent.

Projects that also have a supporting organization planning on adoption of the GPU-accelerated application in a product, service, or large-scale internal deployment, if successful, are eligible for a hardware grant of up to eight workstation GPUs or equivalent.

Projects that have a sponsoring organization investing resources in the project are eligible for a hardware grant based on project requirements and funding to support one to two researchers or research engineers.
How long is the typical review cycle and period of notice, and how soon after the award letter can a researcher expect to receive program benefits?

There is no application deadline for this program and applications will be reviewed on a rolling basis. Application responses may take up to 12 weeks and will largely depend on the scope and maturity of the project. Once an award letter is sent, some program benefits may take up to one month to arrive, depending on hardware shipping timelines. Some benefits, such as the ability to request letters of support for grant applications, will be available immediately.
Would NVIDIA want to own the intellectual property (IP) of the applied research, since it’s interested in deployment?

No. NVIDIA has no intention of owning the IP of the applied research supported under the NVIDIA Applied Research Accelerator Program.

Our goal with this program is to support applied research that has the potential to lead to deployed GPU-accelerated applications, whereby other companies might potentially license the IP.
What can the cash grant be used for?

The cash grant may be used to offset the cost of implementing GPUs and/or accelerating the achievement of results, including support for a researcher or engineer.
Which Deep Learning Institute (DLI) resources will be available to program participants?

Credits may be used for any online, self-paced DLI courses.
Is funding remitted directly to the researcher or through the affiliated institution’s project funding account?

Funding is remitted to the institution’s project funding account, as an unrestricted gift designated for the selected project.
What are the program’s terms and conditions?

The terms and conditions are as follows:

I understand that the NVIDIA Applied Research Accelerator Program is a program for applied academic research projects that are driving advances in the field of artificial intelligence.

Upon acceptance to the program, I will be required to update my project’s information and progress every six months via a questionnaire provided to me by NVIDIA. If I fail to provide updated information or make reasonable progress in my project, my project may be removed from the program and lose access to future benefits.

Grants under this program are made to the university and designated for the purpose of the project proposal approved by NVIDIA. I will not transfer, sell, lease, or dispose of grants and equipment provided under this program without NVIDIA’s prior consent.

I agree to comply with all anti-bribery, anti-corruption, and applicable import and export laws, including U.S. export regulations. I agree to bear all taxes, duties, levies, tariffs, and other similar charges imposed as a result of hardware and funding grants under this program.
We know of an organization interested in adopting our research, but we’re unable to share the name of the company or information about the research project because of an NDA. How do we proceed?

If you’re unable to disclose the name of the organization, we will consider your application based on the project description, GPU-accelerated application, and use case. Alternatively, we‘re able to sign an NDA in order to discuss the full details about the project.

In order to vet applications, it’s important for NVIDIA to learn about the details of the applied research project, including, where applicable, introductions to your industry funders/collaborators, so we can have a conversation about how NVIDIA can add technology (hardware and software), expertise, and funding to support adoption and deployment of the GPU-accelerated application.
We’re interested in commercialization through founding our own startup company. Do we qualify for the NVIDIA Applied Research Accelerator Program?

Not at the moment.

Our current priority is to support applied research that can lead to deployed GPU-accelerated applications in a product/service at an existing government or commercial organization.

The NVIDIA Inception program is an incubator for cutting-edge AI startups and may be a path for your startup.
Does NVIDIA have a program to support basic research?

Our current focus for research engagement is on rolling out the NVIDIA Applied Research Accelerator Program. In the future, we may revisit our focus areas and strategies for supporting basic research. In the meantime, the best way to explore support for a basic research project is to reach out to someone you know at NVIDIA or to the NVIDIA Research team. Collaborations through NVIDIA Research often happen organically.

Ready to take the next step or have questions?

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SG - SINGAPORE

Accelerating Innovation with Applied Research

Advance Applied Academic Research

Program Benefits

GPU Acceleration, Anywhere

NVIDIA Technical Expertise

Grant Application Support

Networking Opportunities

Program Requirements

Frequently Asked Questions

What level of benefits are available to projects selected for the Applied Research Accelerator Program?

How long is the typical review cycle and period of notice, and how soon after the award letter can a researcher expect to receive program benefits?

Would NVIDIA want to own the intellectual property (IP) of the applied research, since it’s interested in deployment?

What can the cash grant be used for?

Which Deep Learning Institute (DLI) resources will be available to program participants?

Is funding remitted directly to the researcher or through the affiliated institution’s project funding account?

What are the program’s terms and conditions?

We know of an organization interested in adopting our research, but we’re unable to share the name of the company or information about the research project because of an NDA. How do we proceed?

We’re interested in commercialization through founding our own startup company. Do we qualify for the NVIDIA Applied Research Accelerator Program?

Does NVIDIA have a program to support basic research?

Submit Your Question