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Explore how you can leverage artificial intelligence (AI) and generative AI (GenAI) tools at the University of Louisville (UofL) for research, teaching, learning, and productivity. This guide is for students, faculty, and staff who want to understand available resources, best practices, and support options for using AI at UofL.
CARDS (Collaborative Academic Research Data Storage) is UofL’s high-capacity storage system supporting research computing clusters like LARCC and Zaruda. CARDS provides approximately 5 PB of persistent storage for research data, ensuring data is safe, accessible and integrated with UofL’s HPC and HTC systems.
The Big Data Analysis Platform (BDAP) at UofL is a GPU-accelerated HPC cluster designed for distributed parallel computing and data processing. BDAP supports data-intensive research, simulation and analytics with large-memory servers, ample local storage and a mix of CPUs and GPUs for a variety of scientific and engineering workflows.
This article helps UofL researchers, faculty and students access and use the Zurada High Performance Computing (HPC) system for advanced research and data analysis. Zurada is designed for large-scale computational tasks and supports a wide range of scientific and engineering applications.