Adding monarch to Tutorial landing page (#3647)

Adding Monarch tutorial to Tutorial landing page

Author: sekyondaMeta

distributed.rst

@@ -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>`__.
@@ -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

index.rst

@@ -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
 
@@ -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::