Funding Opportunities
New Research Opportunities
Compute & Hardware Grant
New NVIDIA GPU Opportunity
Sponsored by: NVIDIA Corporation
$30,000 Equivalent Value Up to 30,000 H100 GPU Hours or 2 DGX Spark Units
Program Synopsis
NVIDIA Corporation invites proposals for innovative data science research that leverages CUDA-X libraries (e.g., cuPy, cuDF, cuML, cuGraph, cuOpt). Proposals are welcome across diverse research themes, including:
Data Processing & Analytics Operational Research & Routing Statistical Methods Graph Analytics & GNNs Visual Analytics
Award Details & Terms
- Compute Allocation: Selected PIs may receive up to 30,000 H100 (80 GB) GPU hours or equivalent (maximum of 8 concurrent GPUs) OR up to 2 DGX Spark units.
- Expiration: Awarded GPU hours expire six months after award date; unused hours are forfeited. Final allocations are determined by the NVIDIA awards panel.
- Eligibility: Full-time faculty at accredited Ph.D.-granting institutions. Postdoctoral researchers and graduate students may apply if sponsored by a qualifying faculty member.
- Submission Limits: Individuals may submit one proposal per quarter (maximum of four per year) and receive no more than one award per calendar year.
- Format & Requirements: Proposals must follow NVIDIA’s official template and be no longer than four pages (excluding appendices). Awardees must acknowledge NVIDIA support and report publications, presentations, and open-source releases via the NVIDIA grant portal.