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!!! tip "Use a EESSI-specific CernVM-FS configuration file to configure the variant symlinks"
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Instead of using `/etc/cvmfs/default.local` you can also put the symlink configuration in a local configuration file that is specific to the `software.eessi.io` repository
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or to the `eessi.io` domain.
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For the first you can use `/etc/cvmfs/config.d/software.eessi.io.local`, while for the latter you can use `/etc/cvmfs/domain.d/eessi.io.local`.
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For more details about the different configuration files,
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see [the configuration hierarchy section of our CernVM-FS tutorial](https://www.eessi.io/docs/training-events/2025/tutorial-best-practices-cvmfs-hpc/access/client/#configuration_hierarchy).
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!!! note "How does EESSI find the linked drivers?"
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The runtime linker provided by the EESSI [compatibility layer](../compatibility_layer.md) is configured to search an
@@ -79,11 +91,13 @@ Third, you run the helper script
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If, for some reason, the helper script is unable to locate the drivers on your system you _can_ link them manually.
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To do so, grab the list of libraries that need to be symlinked from [here](https://raw.githubusercontent.com/apptainer/apptainer/main/etc/nvliblist.conf).
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Then, change to the correct directory:
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- For EESSI 2025.06 and later: `/cvmfs/software.eessi.io/versions/${EESSI_VERSION}>/compat/${EESSI_OS_TYPE}/${EESSI_CPU_FAMILY}/lib/nvidia`,
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- For EESSI 2023.06: `/cvmfs/software.eessi.io/host_injections/${EESSI_VERSION}/compat/${EESSI_OS_TYPE}/${EESSI_CPU_FAMILY}/lib`
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Then, manually create the symlinks for each of the files in the aforementioned list (if they exist on your system) to the current directory.
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-
#### Runtime support when using EESSI in a container: {: #nvidia_eessi_container }
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#### Runtime support when using EESSI in a container {: #nvidia_eessi_container }
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If you are running your own [Apptainer](https://apptainer.org/)/[Singularity](https://sylabs.io/singularity) container,
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it is sufficient to use the [`--nv` option](https://apptainer.org/docs/user/latest/gpu.html#nvidia-gpus-cuda-standard)
@@ -140,7 +154,7 @@ Thus, you may want to periodically run this script to pick up on new CUDA and cu
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$ ls -l /cvmfs/software.eessi.io/versions/2023.06/software/linux/x86_64/amd/zen3/software/CUDA/12.1.1/bin/nvcc
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