Accelerating Innovation with Applied Research

Join the NVIDIA Applied Research Accelerator Program.​

Advancing Applied Academic Research

The NVIDIA Applied Research Accelerator Program supports research projects that have the potential to make a real-world impact through the deployment of NVIDIA-accelerated applications adopted by commercial and government organizations. This program accelerates 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

Accelerate Anywhere

  • Get access to NVIDIA 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

Grant Application Support

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

To qualify for the Applied Research Accelerator Program, applicants must be able to satisfy all of the requirements listed below.

1. Applicant

  • The principal investigator is a professor or researcher at an academic institution.

2. Research

  • The basic research for the project must be completed and the project’s feasibility demonstrated.

3. Project

  • The project leads to the development of a new application or the improvement of an existing application using GPU or DPU acceleration.
  • The project’s problem statement and use case must be clearly defined.

4. Deployment

  • The results of the project’s research can be deployed within three years.
  • The project is eligible for additional hardware and/or funding if an adopting organization is investing resources.

Awards are announced once a quarter in the first week of November, February, May, and August. Applications must be received four weeks before the award date in order to be considered in the current review period.

Program Spotlights

LiDAR-Based Semantic Mapping of Indoor Environments

LiDAR-Based Semantic Mapping of Indoor Environments

ARIBIC (Artificial Intelligence-Based Indoor Cartography), a Canada-Germany partnership initiative at the University of Toronto is building a Light Detection And Ranging sensor (LiDAR)-based robotic mapping system that can maintain a digital representation of its environment and identify a variety of objects in a warehouse, including inventory, equipment, and robotic vehicles. Through the NVIDIA Applied Research Accelerator Program, they will enable better and faster inventory management, routing for shipping, and planning for restocking.

FLAIROP: Federated Learning for Robot Picking

FLAIROP: Federated Learning for Robot Picking

Germany’s Institute for Material Handling and Logistics (IFL) at Karlsruhe Institute of Technology (KIT) and Festo Corporation, the world’s leading supplier of automation technology and technical education, are developing a Federated Learning (FL) system in robotics for picking and placing unknown objects. With assistance from the NVIDIA Applied Research Accelerator Program, the FL framework will be used to train AI models in a real-world environment for Festo.

Autonomous Mobility in a Pedestrian Environment

Autonomous Mobility in a Pedestrian Environment

With help from the NVIDIA Applied Research Accelerator Program, the Advanced Robotics Center at National University of Singapore and National Gallery Singapore are working together to develop an autonomous, socially acceptable navigation wheelchair that can augment a visitor’s viewing experience at the National Gallery. The wheelchair will require minimal assistance and supervision, and be equipped to handle busy intersections, first-right-of-way scenarios, and unexpected human interruptions.

Additional Resources

Hardware Grant Program

Hardware Grant Program

The NVIDIA Hardware Grant Program promotes advances in artificial intelligence and data science, including early-stage research and teaching by partnering with academic institutions around the world to equip researchers and educators with industry-leading hardware and software. 

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DLI Teaching Kits

DLI Teaching Kits

NVIDIA Deep Learning Institute (DLI) Teaching Kits lower the barrier of incorporating AI and GPU computing in coursework with downloadable teaching materials and online courses that provide the foundation for understanding and building hands-on expertise in these critical areas. 

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The Applied Research Accelerator Program Brochure

The Applied Research Accelerator Program Brochure

Explore more details about the Applied Research Accelerator Program to learn about the different tiers of support, related criteria, application process, and available grants.

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Frequently Asked Questions

  • What benefits are available through the NVIDIA Applied Research Accelerator Program?

    The program offers different tiers of support, depending on the scope and maturity of the project, as well as technical alignment.

     

    Projects that meet all eligibility requirements can receive up to $20K USD in hardware or cloud compute and is the equivalent of up to four workstation GPUs.

     

    If a commercial or government organization is planning to adopt the GPU-accelerated application in a product, service, or large-scale internal deployment, the project is eligible for up to $60K USD in hardware or cloud compute. This is the equivalent of up to eight workstation GPUs.

     

    If a commercial or government organization is investing resources, the project is eligible for up to $160K USD in hardware, cloud compute, and/or cash to support research engineers converting code from research to production to help with adoption.

  • How long is the typical review cycle and period of notice?

    Awards are announced once a quarter in the first week of November, February, May, and August. Applications must be received four weeks before the award date in order to be considered in the current review period. Applications received less than four weeks from the award announcement will be evaluated in the next review period.

  • How long is the typical review cycle and period of notice?

    Once an award letter is sent, access to cloud compute resources is granted within two weeks. The ability to request letters of support for grant applications is available immediately. Hardware shipping timelines vary greatly based on geography.

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

    No. NVIDIA has no intention of owning the IP developed under the NVIDIA Applied Research Accelerator Program. The goal of this program is to support applied research projects that have high potential to result in deployed GPU-accelerated applications.

  • What is required of projects participating in the program?

    Applicants agree to comply with the NVIDIA Applied Research Accelerator Program Agreement. Projects selected for the program must:

     

    • Provide an update every six months via a follow-up questionnaire provided by NVIDIA.

    • Notify NVIDIA of any publications that include acknowledgement of NVIDIA support and NVIDIA technologies used, when applicable.

    • Submit applications to present research outcomes (if any) at GTC or other NVIDIA events to promote the project.

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