System Description

Resource Limits per User

Resource limits for each user
	Minimum Guaranteed	Up To [1]
CPU cores	1	4
RAM	2GB	8GB
Persistent file storage	100GB	N/A

Shared GPU Resources

The system includes 4 NVIDIA A100 GPUs, accessible from the PyTorch server, that are shared with all users. In a notebook or a terminal session a user only has access to part of one GPU.

Notebook Duration Limits

Notebooks are temporary and intended to last a maximum of 24 hours. Notebooks older than 24 hours may be ended without warning.

Notebooks run live in a web browser, if you close your web browser or lose your internet connection for more than 1 hour, your notebook and running processes may end. It is expected that running processes will continue if your connection is interrupted for less than 1 hour.

User Directory

Unlike notebooks, files in your user directory are persistent.

ICRN does not backup data, you are responsible for backing up your files.

Server Options

Python Server

CPU option. The Python server option has Python and Conda installed. Python is a general-purpose programming language. Conda is an open source package management system.

R Server

CPU option. The R server option has popular R packages installed. R is a programming language and software environment for statistical computing and graphics.

PyTorch Server

GPU option. The PyTorch server option has PyTorch installed. NVIDIA provides a brief overview of GPU computing at the beginning of the Using GPUs with Python webinar hosted by NCSA. You can view past recordings of this webinar, and others, in the HPC Moodle Past NCSA Training Events Repository.