Apptainer at TACC
Steve Lantz and Zilu Wang
Cornell Center for Advanced Computing
4/2026 (original)
Objectives
After you complete this topic, you should be able to:
- Access one or more of the host's GPUs from an Apptainer container
- Launch multiple containers so they work in parallel using MPI
- Describe the hybrid and bind models of running containerized applications with MPI
- Set up a Python environment in a container to include packages that you need
- Use a containerized Python environment as the kernel for a Jupyter notebook
Prerequisites
This topic covers basic information on containers and Apptainer usage through the command line interface. Some familiarity with Linux is preferred, but it is not necessary.
©
|
Cornell University
|
Center for Advanced Computing
|
Copyright Statement
|
Access Statement
CVW material development is supported by NSF OAC awards 1854828, 2321040, 2323116 (UT Austin) and 2005506 (Indiana University)
CVW material development is supported by NSF OAC awards 1854828, 2321040, 2323116 (UT Austin) and 2005506 (Indiana University)