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Copy file name to clipboardExpand all lines: docs/index.md
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# CSCS Documentation
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<divclass="grid cards"markdown>
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- <pstyle="text-align:center">Visit <ahref="https://status.cscs.ch/">status.cscs.ch</a> for the status of Alps systems, and the latest announcements.</p>
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</div>
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The Alps Research infrastructure hosts multiple platforms and clusters targeting different communities
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The Alps Research infrastructure hosts multiple platforms and clusters targeting different communities.
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A good spot to get started is with the documentation for the platform that your project is running on.
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<divclass="grid cards"markdown>
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- :fontawesome-solid-layer-group: __Platforms__
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Projects at CSCS are granted access to [clusters][ref-alps-clusters], which are managed by platforms.
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Start by finding the platform for the cluster that you want to use.
[:octicons-arrow-right-24: Climate and Weather Platform (Santis)][ref-platform-cwp]
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Alps is a general-purpose compute and data Research Infrastructure (RI) open to the broad community of researchers in Switzerland and the rest of the world.
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Find out more about Alps...
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<divclass="grid cards"markdown>
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- :fontawesome-solid-mountain-sun: __Alps__
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- :fontawesome-solid-layer-group: __Accounts and Projects__
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The first step is to get an account and a project
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[:octicons-arrow-right-24: Accounts and Projects][ref-account-management]
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- :fontawesome-solid-key: __Logging In__
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Once you have an account, you can set up multi factor authentication
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[:octicons-arrow-right-24: Setting up MFA][ref-mfa]
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Then access CSCS services
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[:octicons-arrow-right-24: Accessing CSCS Web Services][ref-access-web]
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[:octicons-arrow-right-24: Using SSH][ref-ssh]
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</div>
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<divclass="grid cards"markdown>
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- <pstyle="text-align:center">Visit <ahref="https://status.cscs.ch/">status.cscs.ch</a> for the status of Alps systems, and the latest announcements.</p>
Copy file name to clipboardExpand all lines: docs/platforms/mlp/index.md
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The Machine Learning Platform (MLP) provides compute, storage and expertise to the machine learning and AI community in Switzerland, with the main user being the [Swiss AI Initiative](https://www.swiss-ai.org/).
For an overview of how to use common machine learning software, tools and workflows, read our [machine learning documentation][ref-software-ml].
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Tutorials on how to set up and configure a machine learning environment in order to run LLM workloads such as inference, fine-tuning and multi-node training can be found in the [tutorials section][ref-tutorials-ml].
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Also check out the [PyTorch documentation][ref-software-ml-pytorch] for information about how to run PyTorch.
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Check out the [PyTorch documentation][ref-software-ml-pytorch] for information about how to run PyTorch.
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</div>
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## Getting started
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### Getting access
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Project administrators (PIs and deputy PIs) of projects on the MLP can to invite users to join their project, before they can use the project's resources on Alps.
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