# 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/running-containerized-jobs/running-containerized-jobs-in-pyxis.md) * [apptainer](/slurm/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. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.tensorwave.com/slurm/running-containerized-jobs.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.