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refactor ml docs to their own top-level section
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[](){#ref-software-unsupported}
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# Unsupported Software
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This page documents frequently-requested applications that CSCS does not provide pre-built on Alps as [supported software][ref-support-apps].
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## Prohibited applications
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The use of the following applications prohibited from use on CSCS systems.
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| Software | Use | Reason Prohibited |
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| --- | --- | --- |
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| [Gaussian](https://gaussian.com/) | Electronic structure simulation | License terms prohibit installation on CSCS systems |
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[](){#ref-software-installation-guides}
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## Installation guides
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# Installation guides
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This is a collection of installation guides for commonly-used software that is not on CSCS list of [officially supported software][ref-software-sciapps].
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!!! danger "You are responsible for respecting license terms"
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When installing software that require a license, it is the responsibility of users to ensure that the software is only available to them personally, or to [members of their group][ref-guides-storage-sharing] who are also permitted by the license to access the software.
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docs/build-install/index.md

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CSCS provides commonly used software and tools on Alps, however many use cases will require first installing software on a system before you can start working.
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<div class="grid cards" markdown>
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- :fontawesome-solid-earth-americas: __[Unsupported software][ref-software-installation-guides]__ – guides on how to install commonly requested or difficult to install software.
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</div>
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Modern HPC applications and software stacks are often very complicated, and there is no one-size-fits-all method for building and installing them.
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<div class="grid cards" markdown>
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- :fontawesome-brands-python: __[Python][ref-build-python]__create a virtual environment using python in a uenv.
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- :fontawesome-solid-earth-americas: __[Community codes][ref-software-installation-guides]__guides on how to install commonly requested or difficult to install software.
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</div>
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docs/build-install/pip.md

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docs/ml/data.md

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# Data management for machine learning
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!!! under-construction
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Using Huggingface for data sets.
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File formats and data access tuning.
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docs/ml/inference.md

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# Inference
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!!! under-construction
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How to deploy inference workflows.
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docs/ml/tuning.md

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# Tuning ML workflows
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!!! under-construction
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Optimizing and tuning topics related to ML
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e.g. NCCL tuning and testing guide by Jonathan
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