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.gitignore

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# agent memory
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.memsearch/*
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# pixi environments
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.pixi
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*.egg-info

.memsearch/memory/2026-05-14.md

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docs/hpc/14_tutorial_apptainer/04_docker_images.mdx

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So far, we have used container images that are already available on Torch under `/share/apps/images`.
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In practice, you may also want to run software that is not provided by the cluster. Apptainer can pull images directly from Docker registries and convert them into the Apptainer SIF format.
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In practice, you may also want to run software that is not provided by the cluster. Apptainer can pull images directly from Docker registries and convert them into the Apptainer `SIF` format.
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:::warning
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Pulling container images can require significant network bandwidth and disk space. On Torch, image downloads should be performed on compute nodes rather than login nodes.:::
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Pulling container images can require significant network bandwidth and disk space. On Torch, image downloads should be performed on compute nodes rather than login nodes.
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:::
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For example, we can pull an official PyTorch image from Docker Hub:
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```bash
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apptainer pull pytorch.sif docker://pytorch/pytorch:latest
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```
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During the pull process, Apptainer downloads the Docker image layers and converts them into a single SIF image:
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During the pull process, Apptainer downloads the Docker image layers and converts them into a single `SIF` image:
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```bash
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INFO: Converting OCI blobs to SIF format
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INFO: Creating SIF file...
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```
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The output shows that Apptainer is downloading the Docker image layers and converting them into a single SIF image. Once the conversion completes, the resulting SIF file can be used without Docker.
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When the command completes, a new image named `pytorch.sif` will be created in the current directory.
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The output shows that Apptainer is downloading the Docker image layers and converting them into a single `SIF` image. Once the conversion completes, the resulting `SIF` file can be used without Docker. When the command completes, a new image named `pytorch.sif` will be created in the current directory.
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You can verify that the image exists:
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