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Fix AMD ROCM url.
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docs/software/rocm_catalog.md

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## What is AMD ROCm
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The AMD Infinity Hub contains a collection of advanced AMD GPU software containers and deployment guides for HPC, AI & Machine Learning applications, enabling researchers to speed up their time to science. Containerized applications run quickly and reliably in the high performance computing environment with full support of AMD GPUs. A collection of Infinity Hub tools were deployed to extend cluster capabilities and to enable powerful software and deliver the fastest results. By utilizing Singularity and Infinity Hub ROCm-enabled containers, users can focus on building lean models, producing optimal solutions and gathering faster insights. For more information, please visit [AMD Infinity Hub](https://web.archive.org/web/20230902021513/https://www.amd.com/en/technologies/infinity-hub/).
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The AMD Infinity Hub contains a collection of advanced AMD GPU software containers and deployment guides for HPC, AI & Machine Learning applications, enabling researchers to speed up their time to science. Containerized applications run quickly and reliably in the high performance computing environment with full support of AMD GPUs. A collection of Infinity Hub tools were deployed to extend cluster capabilities and to enable powerful software and deliver the fastest results. By utilizing Singularity and Infinity Hub ROCm-enabled containers, users can focus on building lean models, producing optimal solutions and gathering faster insights. For more information, please visit [AMD Infinity Hub](https://www.amd.com/en/developer/resources/infinity-hub.html).
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## Getting Started
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Users can download ROCm containers from the [AMD Infinity Hub](https://web.archive.org/web/20230902021513/https://www.amd.com/en/technologies/infinity-hub/) and run them directly using Singularity instructions from the corresponding container’s catalog page.
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Users can download ROCm containers from the [AMD Infinity Hub](https://www.amd.com/en/developer/resources/infinity-hub.html) and run them directly using Singularity instructions from the corresponding container’s catalog page.
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In addition, a subset of pre-downloaded ROCm containers wrapped into convenient software modules are provided. These modules wrap underlying complexity and provide the same commands that are expected from non-containerized versions of each application.
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