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.
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.
To qualify for the Applied Research Accelerator Program, applicants must be able to satisfy all of the requirements listed below.
Sign up for the Developer Program to get notified when the next submission window opens.
Researchers at Stanford University, California Institute of Technology, and University of Michigan are working together with Bentley Systems to develop and implement hybrid digital twins of Los Angeles buildings. By accurately monitoring structural response and health in near-real-time, the digital twins help facility managers, engineers, and local governments make informed decisions about danger to occupants and first responders immediately following an earthquake or other natural hazard.
Rashtreeya Vidyalaya College of Engineering and Bat Conservation India Trust are using NVIDIA technology to monitor bat calls and climatic conditions of caves in real-time. In designing and deploying models to process audio clicks of cave-dwelling bats, the team can study movement ecology and cave conditions over time, while assessing impact of climate change on the bat and cave ecosystems in India. Support from the NVIDIA Applied Research Accelerator Program will allow the team to monitor over 20 bat species.
The University of California, Los Angeles, and Varian Medical Systems are developing GPU-accelerated models that create 3D volumetric projections of patient tumor positions during radiation therapy. Support from NVIDIA’s Applied Research Accelerator Program enables accurate prediction of tumor volume while patients receive radiotherapy, improving the precision of treatment plans for hundreds of thousands of oncology patients around the world.
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.
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.
We are not accepting applications right now. Register for the Developer Program to get notified when the next submission window opens.
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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