Merge branch 'pr_602' of gitlab.hrz.tu-chemnitz.de:zih/hpcsupport/hpc-compendium into pr_602

doc.zih.tu-dresden.de/docs/jobs_and_resources/capella.md

@@ -25,7 +25,7 @@ The multi-GPU cluster `Capella` has been installed for AI-related computations a
 HPC simulations. Capella is fully integrated into the ZIH HPC infrastructure.
 Therefore, the usage should be similar to the other clusters.
 
-## Hardware Resources
+## Hardware Specifications
 
 The hardware specification is documented on the page
 [HPC Resources](hardware_overview.md#capella).
@@ -45,7 +45,7 @@ provide further information on these two topics.
 
 ## Filesystems
 
-As is the case with all other clusters, your `/home` directory is also available on `Capella`.
+As with all other clusters, your `/home` directory is also available on `Capella`.
 For reasons of convenience, the filesystems `horse` and `walrus` are also accessible.
 Please note, that the filesystem `horse` **is not to be used** as working filesystem at the cluster
 `Capella`.

doc.zih.tu-dresden.de/docs/software/pytorch.md

@@ -72,7 +72,7 @@ Modules GCC/11.3.0, OpenMPI/4.1.4, torchvision/0.13.1 and 62 dependencies loaded
 Now, we check that we can access PyTorch:
 
 ```console
-marie@{power9,alpha}$ python -c "import torch; print(torch.__version__)"
+marie@power9 python -c "import torch; print(torch.__version__)"
 ```
 
 The following example shows how to create a python virtual environment and import PyTorch.