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.
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.
Deadline: Applications are accepted year-round with four review cycles.
- Applications submitted January 1-March 31 will receive a decision in June.
- Applications submitted April 1-June 30 will receive a decision in September.
- Applications submitted July 1-September 30 will receive a decision in December.
- Applications submitted October 1-December 31 will receive a decision in March.
- 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.
Eligibility: The principal investigator must be a professor or researcher at an academic institution.