High Performance Computing (HPC) Resources
Building and training modern AI models requires considerable computational resources, including high-performance Graphical Processing Units (GPUs). This page is meant to support faculty in finding hardware for use in either the classroom or research.
teaching - These resources are meant for teachers who are interested in having students learn to build or train their own models.
research - These resources are meant for faculty who are interested in applying AI within their research.
Data Science Research Center (DSRC) @ Weber State University (research)
The Data Science Research Center (DSRC) offers high-performance computing hardware priced by usage.
**Center for High Performance Computing (CHPC) @ The University of Utah** (research)
The Center for High Performance Computing (CHPC) offers different hardware clusters depending on need, including many HPC-specific GPUs. As a Weber State faculty member, you can request time on these clusters free-of-charge. However, before doing so, you must request an affiliate ID (see https://www.chpc.utah.edu/userservices/accounts.php).
**National Research Platform (NRP)** (teaching, research)
The National Research Platform (NRP) is an NSF-funded virtual cluster offering free compute for both research and educational purposes. The hardware is decentralized, spanning over 50 different institutions.
The website has extensive documentation on using the resources. They also have recorded tutorials.
Google Colab (teaching, research)
Google Colab offers free compute time on Google’s HPC servers. Furthermore, Google Colab makes it easy for students to write their own Python code directly within the browser.
If you are interested in exploring how AI might be used for your research and don’t need a lot of compute, then we would suggest starting here, as Google Colab is very easy to use for beginners.