Data Loading Optimization guide (#3875)

This is a new data loading tutorial covering best practices and common
optimizations.

---------

Co-authored-by: Ramanish Singh <ramanish@meta.com>
Co-authored-by: ramanishsingh <rsthakur922@gmail.com>
Co-authored-by: Svetlana Karslioglu <svekars@meta.com>

Author: 3 people

index.rst

@@ -103,6 +103,13 @@ Welcome to PyTorch Tutorials
    :link: intermediate/pinmem_nonblock.html
    :tags: Getting-Started
 
+.. customcarditem::
+   :header: Data Loading Optimization in PyTorch
+   :card_description: Optimize DataLoader configuration with num_workers, pin_memory, persistent_workers for maximum training throughput.
+   :image: _static/img/thumbnails/cropped/generic-pytorch-logo.png
+   :link: intermediate/intermediate_data_loading_tutorial.html
+   :tags: Getting-Started,Best-Practice
+
 .. customcarditem::
    :header: Understanding requires_grad, retain_grad, Leaf, and Non-leaf Tensors
    :card_description: Learn the subtleties of requires_grad, retain_grad, leaf, and non-leaf tensors