> For the complete documentation index, see [llms.txt](https://docs.tensorwave.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tensorwave.com/slurm-old/running-containerized-jobs.md).

# Running Containerized Jobs

Containers provide environment isolation, ensure consistent environments across nodes, simplify dependency management, and let you reproduce results reliably. In short, they are a fantastic way to manage dependencies for Slurm jobs. TensorWave's Slurm provides several methods for running jobs in containerized environments.

* [pyxis/enroot](/slurm-old/running-containerized-jobs/running-containerized-jobs-in-pyxis.md)
* [apptainer](/slurm-old/running-containerized-jobs/running-containerized-jobs-with-apptainer.md)
* docker

**We recommend using Pyxis** as it's the most performant. Docker is provided due to popular demand; however, we **highly discourage using Docker** due to issues with performance and how the Docker daemon interacts with Slurm. Apptainer provides a similar interface/user experience to Docker, while avoiding a lot of the problems the Docker daemon causes.


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