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Nov 13, 2025
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Adding monarch to Tutorial landing page #3647

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Update index.rst
sekyondaMeta Nov 13, 2025
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sekyondaMeta Nov 13, 2025
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sekyondaMeta Nov 13, 2025
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17 changes: 17 additions & 0 deletions distributed.rst
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Expand Up @@ -16,6 +16,7 @@ PyTorch with each method having their advantages in certain use cases:
* `Tensor Parallel (TP) <#learn-tp>`__
* `Device Mesh <#device-mesh>`__
* `Remote Procedure Call (RPC) distributed training <#learn-rpc>`__
* `Monarch Framework <#learn-monarch>`__
* `Custom Extensions <#custom-extensions>`__

Read more about these options in `Distributed Overview <https://docs.pytorch.org/tutorials/beginner/dist_overview.html?utm_source=distr_landing>`__.
Expand Down Expand Up @@ -159,6 +160,22 @@ Learn RPC
+++
:octicon:`code;1em` Code

.. _learn-monarch:

Learn Monarch
----------

.. grid:: 3

.. grid-item-card:: :octicon:`file-code;1em`
Interactive Distributed Applications with Monarch
:link: https://docs.pytorch.org/tutorials/intermediate/monarch_distributed_tutorial.html
:link-type: url

Learn how to use Monarch's actor framework
+++
:octicon:`code;1em` Code

.. _custom-extensions:

Custom Extensions
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9 changes: 9 additions & 0 deletions index.rst
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Expand Up @@ -7,6 +7,7 @@ Welcome to PyTorch Tutorials
* `Supporting Custom C++ Classes in torch.compile/torch.export <https://docs.pytorch.org/tutorials/advanced/custom_class_pt2.html>`__
* `Accelerating torch.save and torch.load with GPUDirect Storage <https://docs.pytorch.org/tutorials/unstable/gpu_direct_storage.html>`__
* `Getting Started with Fully Sharded Data Parallel (FSDP2) <https://docs.pytorch.org/tutorials/intermediate/FSDP_tutorial.html>`__
* `Interactive Distributed Applications with Monarch <https://docs.pytorch.org/tutorials/intermediate/monarch_distributed_tutorial.html>`__

.. raw:: html

Expand Down Expand Up @@ -688,6 +689,14 @@ Welcome to PyTorch Tutorials
:link: intermediate/monarch_distributed_tutorial.html
:tags: Parallel-and-Distributed-Training


.. customcarditem::
:header: Interactive Distributed Applications with Monarch
:card_description: Learn how to use Monarch's actor framework with TorchTitan to simplify large-scale distributed training across SLURM clusters.
:image: _static/img/thumbnails/cropped/generic-pytorch-logo.png
:link: intermediate/monarch_distributed_tutorial.html
:tags: Parallel-and-Distributed-Training

.. Edge

.. customcarditem::
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