Abstract: Both theoretical and experimental physics in the modern day frequently require advanced computational resources. These resources can be prohibitively expensive, so it is becoming increasingly common for universities to install supercomputers and make them widely available to researchers. Traditional supercomputers rely on batch job systems to handle simultaneous requests from hundreds of users. This remains the most efficient method to handle massively parallel jobs, but does not facilitate on-demand, interactive, or extremely long running tasks. Recently we’ve seen the development of cloud-based supercomputers such as Jetstream2 to allow for these types of tasks. In this talk we will go over the many different supercomputing resources, both traditional and cloud-based, available to professors and students at Indiana University, including their use cases, how to get access to them, and where to go for assistance in using them.