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Prepare a subsection to educate users on the PyTorch workloads on AI-Hypercomputer #8389

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miladm opened this issue Nov 18, 2024 · 1 comment
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@miladm
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miladm commented Nov 18, 2024

📚 Documentation

AI-Hypercomputer is where customers and users can find optimized implementation of representative models.

Please add a section in the PyTorchXLA README page (and the html documentation) that introduces this concept and points the users to the following resource: https://github.com/AI-Hypercomputer/tpu-recipes

Keep in mind that the AI-Hypercomputer tpu-recipe repo is WIP and gradually grows in scope.

Read more context on AI-Hypercomputer

Timeline: would be great to add this documentation to the repo for 2.6 branch cut.

cc @tengyifei

@mikegre-google
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Fixed with PR: 8412

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