Singularity has been renamed Apptainer as the project is brought into the Linux Foundation. An alias exists so that you can continue to invoke singularity. Local builds are now possible in many cases and remote builds with Sylabs are no longer supported

We only keep a reasonably current version of Apptainer. Prior versions are removed since only the latest one is considered secure. Apptainer is installed on all of the system's compute nodes and can be accessed without using a module.

Anaconda is very popular and is available as a module. It expands the capability of Jupyter with Jupyter Labs; includes RStudio, and the Conda ecosystem. To access GUI interfaces available through Conda (e.g., JupyerLab), we recommend using an Open OnDemand Desktop session. See these instructions.

As a note, Anaconda likes to own your entire environment.  Review those instructions to see what problems that can cause and how to address them.

Have you tried Puma yet?  Our latest supercomputer is larger, faster and has bigger teeth than Ocelote (ok, maybe not the last bit). Puma Quick Start

Since we upgraded Ocelote it has the same software suite as Puma.  It is generally not as busy as Puma.  So if your work does not need the capabilities of Puma, consider using Ocelote instead.  This applies to GPU's also, if the P100s will work for you.

Now that we are into the second year of use, we have determined that we can increase the standard allocation.  From the end of April 2022 the standard allocation of CPU hours is increased from 70,000 to 100,000.