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