Empire AI: Cornell Call for Compute Resource Proposals supports Cornell faculty research projects with access to shared GPU computing and data-processing resources for work requiring substantial compute capacity.
Utilizing the Full Power of Empire AI 2027 supports researchers using foundational machine learning models and Empire AI’s GPU clusters to address fundamental problems in mathematics and basic science.
Academic Grant Program from NVIDIA supports university researchers with cloud, hardware, software, and model resources for simulation, modeling, and AI projects aimed at technological breakthroughs.
AI for Science program supports researchers with API access for AI-enabled scientific work, emphasizing biology and life sciences to accelerate discovery and contribute to positive real-world impact.
Access EuroHPC supercomputers for research computing supports UK researchers with supercomputer time to test and optimise research code or run large workloads across science, industry and the public sector.
Cornell’s Global Grand Challenge: The Future funds interdisciplinary research and curricular projects that create innovative, equitable, and sustainable solutions for urgent global challenges.