diff --git a/.wordlist.txt b/.wordlist.txt
index 9d0f4d6cc..09236fa95 100644
--- a/.wordlist.txt
+++ b/.wordlist.txt
@@ -124,6 +124,7 @@ ENDPGM
 EPYC
 ESXi
 EoS
+fas
 FBGEMM
 FFT
 FFTs
@@ -196,6 +197,7 @@ HWE
 HWS
 Haswell
 Higgs
+href
 Hyperparameters
 Huggingface
 ICD
diff --git a/docs/how-to/deep-learning-rocm.rst b/docs/how-to/deep-learning-rocm.rst
index beab5c1c8..16dad363c 100644
--- a/docs/how-to/deep-learning-rocm.rst
+++ b/docs/how-to/deep-learning-rocm.rst
@@ -2,58 +2,132 @@
    :description: How to install deep learning frameworks for ROCm
    :keywords: deep learning, frameworks, ROCm, install, PyTorch, TensorFlow, JAX, MAGMA, DeepSpeed, ML, AI
 
-********************************************
-Installing deep learning frameworks for ROCm
-********************************************
+**********************************
+Deep learning frameworks for ROCm
+**********************************
 
-ROCm provides a comprehensive ecosystem for deep learning development, including
-:ref:`libraries <artificial-intelligence-apis>` for optimized deep learning operations and ROCm-aware versions of popular
-deep learning frameworks and libraries such as PyTorch, TensorFlow, and JAX. ROCm works closely with these
-frameworks to ensure that framework-specific optimizations take advantage of AMD accelerator and GPU architectures.
+Deep learning frameworks provide environments for machine learning, training, fine-tuning, inference, and performance optimization.
 
-The following guides provide information on compatibility and supported
-features for these ROCm-enabled deep learning frameworks.
+ROCm offers a complete ecosystem for developing and running deep learning applications efficiently. It also provides ROCm-compatible versions of popular frameworks and libraries, such as PyTorch, TensorFlow, JAX, and others.
 
-* :doc:`PyTorch compatibility <../compatibility/ml-compatibility/pytorch-compatibility>`
-* :doc:`TensorFlow compatibility <../compatibility/ml-compatibility/tensorflow-compatibility>`
-* :doc:`JAX compatibility <../compatibility/ml-compatibility/jax-compatibility>`
-* :doc:`verl compatibility <../compatibility/ml-compatibility/verl-compatibility>`
-* :doc:`Stanford Megatron-LM compatibility <../compatibility/ml-compatibility/stanford-megatron-lm-compatibility>`
-* :doc:`DGL compatibility <../compatibility/ml-compatibility/dgl-compatibility>`
-* :doc:`Megablocks compatibility <../compatibility/ml-compatibility/megablocks-compatibility>`
-* :doc:`Taichi compatibility <../compatibility/ml-compatibility/taichi-compatibility>`
+The AMD ROCm organization actively contributes to open-source development and collaborates closely with framework organizations. This collaboration ensures that framework-specific optimizations effectively leverage AMD GPUs and accelerators.
 
-This chart steps through typical installation workflows for installing deep learning frameworks for ROCm.
+The table below summarizes information about ROCm-enabled deep learning frameworks. It includes details on ROCm compatibility and third-party tool support, installation steps and options, and links to GitHub resources. For a complete list of supported framework versions on ROCm, see the :doc:`Compatibility matrix <../compatibility/compatibility-matrix>` topic.
 
-.. image:: ../data/how-to/framework_install_2024_07_04.png
-   :alt: Flowchart for installing ROCm-aware machine learning frameworks
-   :align: center
+.. list-table:: 
+    :header-rows: 1
+    :widths: 5 3 6 3
 
-See the installation instructions to get started.
+    * - Framework
+      - Installation
+      - Installation options
+      - GitHub
 
-* :doc:`PyTorch for ROCm <rocm-install-on-linux:install/3rd-party/pytorch-install>`
-* :doc:`TensorFlow for ROCm <rocm-install-on-linux:install/3rd-party/tensorflow-install>`
-* :doc:`JAX for ROCm <rocm-install-on-linux:install/3rd-party/jax-install>`
-* :doc:`verl for ROCm <rocm-install-on-linux:install/3rd-party/verl-install>`
-* :doc:`Stanford Megatron-LM for ROCm <rocm-install-on-linux:install/3rd-party/stanford-megatron-lm-install>`
-* :doc:`DGL for ROCm <rocm-install-on-linux:install/3rd-party/dgl-install>`
-* :doc:`Megablocks for ROCm <rocm-install-on-linux:install/3rd-party/megablocks-install>`
-* :doc:`Taichi for ROCm <rocm-install-on-linux:install/3rd-party/taichi-install>`
+    * - `PyTorch <https://rocm.docs.amd.com/en/latest/compatibility/ml-compatibility/pytorch-compatibility.html>`_
+      - .. raw:: html
+         
+          <a href="https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/pytorch-install.html"><i class="fas fa-link fa-lg"></i></a>
+      - 
+        - `Docker image <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/pytorch-install.html#using-a-docker-image-with-pytorch-pre-installed>`_ 
+        - `Wheels package <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/pytorch-install.html#using-a-wheels-package>`_
+        - `ROCm Base Docker image <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/pytorch-install.html#using-the-pytorch-rocm-base-docker-image>`_ 
+        - `Upstream Docker file <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/pytorch-install.html#using-the-pytorch-upstream-dockerfile>`_
+      - .. raw:: html
+         
+          <a href="https://github.com/ROCm/pytorch"><i class="fab fa-github fa-lg"></i></a>
+   
+    * - `TensorFlow <https://rocm.docs.amd.com/en/latest/compatibility/ml-compatibility/tensorflow-compatibility.html>`_
+      - .. raw:: html
+         
+          <a href="https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/tensorflow-install.html"><i class="fas fa-link fa-lg"></i></a>
+      - 
+        - `Docker image <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/tensorflow-install.html#using-a-docker-image-with-tensorflow-pre-installed>`_
+        - `Wheels package <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/tensorflow-install.html#using-a-wheels-package>`_
 
-.. note::
+      - .. raw:: html
+         
+          <a href="https://github.com/ROCm/tensorflow-upstream"><i class="fab fa-github fa-lg"></i></a> 
+
+    * - `JAX <https://rocm.docs.amd.com/en/latest/compatibility/ml-compatibility/jax-compatibility.html>`_
+      - .. raw:: html
+         
+          <a href="https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/jax-install.html"><i class="fas fa-link fa-lg"></i></a>
+      - 
+        - `Docker image <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/jax-install.html#using-a-prebuilt-docker-image>`_
+      - .. raw:: html
+         
+          <a href="https://github.com/ROCm/jax"><i class="fab fa-github fa-lg"></i></a>
+   
+    * - `verl <https://rocm.docs.amd.com/en/latest/compatibility/ml-compatibility/verl-compatibility.html>`_
+      - .. raw:: html
+         
+          <a href="https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/verl-install.html"><i class="fas fa-link fa-lg"></i></a>
+      - 
+        - `Docker image <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/verl-install.html#use-a-prebuilt-docker-image-with-verl-pre-installed>`_
+      - .. raw:: html
+         
+          <a href="https://github.com/ROCm/verl"><i class="fab fa-github fa-lg"></i></a>
+
+    * - `Stanford Megatron-LM <https://rocm.docs.amd.com/en/latest/compatibility/ml-compatibility/stanford-megatron-lm-compatibility.html>`_
+      - .. raw:: html
+         
+          <a href="https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/stanford-megatron-lm-install.html"><i class="fas fa-link fa-lg"></i></a>
+      - 
+        - `Docker image <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/stanford-megatron-lm-install.html#use-a-prebuilt-docker-image-with-stanford-megatron-lm-pre-installed>`_
+      - .. raw:: html
+         
+          <a href="https://github.com/ROCm/Stanford-Megatron-LM"><i class="fab fa-github fa-lg"></i></a>
+   
+    * - `DGL <https://rocm.docs.amd.com/en/latest/compatibility/ml-compatibility/dgl-compatibility.html>`_
+      - .. raw:: html
+         
+          <a href="https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/dgl-install.html"><i class="fas fa-link fa-lg"></i></a>
+      - 
+        - `Docker image <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/dgl-install.html#use-a-prebuilt-docker-image-with-dgl-pre-installed>`_
+      - .. raw:: html
+         
+          <a href="https://github.com/ROCm/dgl"><i class="fab fa-github fa-lg"></i></a> 
+
+    * - `Megablocks <https://rocm.docs.amd.com/en/latest/compatibility/ml-compatibility/megablocks-compatibility.html>`_
+      - .. raw:: html
+         
+          <a href="https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/megablocks-install.html"><i class="fas fa-link fa-lg"></i></a>
+      - 
+        - `Docker image <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/megablocks-install.html#using-a-prebuilt-docker-image-with-megablocks-pre-installed>`_
+      - .. raw:: html
+         
+          <a href="https://github.com/ROCm/megablocks"><i class="fab fa-github fa-lg"></i></a>
+   
+    * - `Taichi <https://rocm.docs.amd.com/en/latest/compatibility/ml-compatibility/taichi-compatibility.html>`_
+      - .. raw:: html
+         
+          <a href="https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/taichi-install.html"><i class="fas fa-link fa-lg"></i></a>
+      - 
+        - `Docker image <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/taichi-install.html#use-a-prebuilt-docker-image-with-taichi-pre-installed>`_ 
+        - `Wheels package <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/taichi-install.html#use-a-wheels-package>`_
+
+      - .. raw:: html
+         
+          <a href="https://github.com/ROCm/taichi"><i class="fab fa-github fa-lg"></i></a>      
 
-   For guidance on installing ROCm itself, refer to :doc:`ROCm installation for Linux <rocm-install-on-linux:index>`.
 
 Learn how to use your ROCm deep learning environment for training, fine-tuning, inference, and performance optimization
 through the following guides.
 
 * :doc:`rocm-for-ai/index`
 
-* :doc:`Training <rocm-for-ai/training/index>`
+* :doc:`Use ROCm for training <rocm-for-ai/training/index>`
+
+* :doc:`Use ROCm for fine-tuning LLMs <rocm-for-ai/fine-tuning/index>`
+
+* :doc:`Use ROCm for AI inference <rocm-for-ai/inference/index>`
+
+* :doc:`Use ROCm for AI inference optimization <rocm-for-ai/inference-optimization/index>`
+
+
+
+
 
-* :doc:`Fine-tuning LLMs <rocm-for-ai/fine-tuning/index>`
 
-* :doc:`Inference <rocm-for-ai/inference/index>`
 
-* :doc:`Inference optimization <rocm-for-ai/inference-optimization/index>`
 
diff --git a/docs/how-to/rocm-for-ai/install.rst b/docs/how-to/rocm-for-ai/install.rst
index d9c9c345d..6847d06b4 100644
--- a/docs/how-to/rocm-for-ai/install.rst
+++ b/docs/how-to/rocm-for-ai/install.rst
@@ -1,14 +1,14 @@
 .. meta::
-   :description: How to install ROCm and popular machine learning frameworks.
+   :description: How to install ROCm and popular deep learning frameworks.
    :keywords: ROCm, AI, LLM, train, fine-tune, FSDP, DeepSpeed, LLaMA, tutorial
 
 .. _rocm-for-ai-install:
 
-***********************************************
-Installing ROCm and machine learning frameworks
-***********************************************
+********************************************
+Installing ROCm and deep learning frameworks
+********************************************
 
-Before getting started, install ROCm and supported machine learning frameworks.
+Before getting started, install ROCm and supported deep learning frameworks.
 
 .. grid:: 1
 
@@ -43,29 +43,16 @@ distribution's package manager. See the following documentation resources to get
       If you encounter any issues during installation, refer to the
       :doc:`Installation troubleshooting <rocm-install-on-linux:reference/install-faq>` guide.
 
-Machine learning frameworks
-===========================
+Deep learning frameworks
+========================
 
-ROCm supports popular machine learning frameworks and libraries including `PyTorch
+ROCm supports deep learning frameworks and libraries including `PyTorch
 <https://pytorch.org/blog/pytorch-for-amd-rocm-platform-now-available-as-python-package>`_, `TensorFlow
-<https://tensorflow.org>`_, `JAX <https://jax.readthedocs.io/en/latest>`_, and `DeepSpeed
-<https://cloudblogs.microsoft.com/opensource/2022/03/21/supporting-efficient-large-model-training-on-amd-instinct-gpus-with-deepspeed/>`_.
+<https://tensorflow.org>`_, `JAX <https://jax.readthedocs.io/en/latest>`_, and more.
 
-Review the framework installation documentation. For ease-of-use, it's recommended to use official ROCm prebuilt Docker
+Review the :doc:`framework installation documentation <../deep-learning-rocm>`. For ease-of-use, it's recommended to use official ROCm prebuilt Docker
 images with the framework pre-installed.
 
-* :doc:`PyTorch for ROCm <rocm-install-on-linux:install/3rd-party/pytorch-install>`
-
-* :doc:`TensorFlow for ROCm <rocm-install-on-linux:install/3rd-party/tensorflow-install>`
-
-* :doc:`JAX for ROCm <rocm-install-on-linux:install/3rd-party/jax-install>`
-
-* :doc:`verl for ROCm <rocm-install-on-linux:install/3rd-party/verl-install>`
-
-* :doc:`Stanford Megatron-LM for ROCm <rocm-install-on-linux:install/3rd-party/jax-install>`
-
-* :doc:`DGL for ROCm <rocm-install-on-linux:install/3rd-party/jax-install>`
-
 Next steps
 ==========
 
diff --git a/docs/sphinx/_toc.yml.in b/docs/sphinx/_toc.yml.in
index db786f0c4..1bb9177f0 100644
--- a/docs/sphinx/_toc.yml.in
+++ b/docs/sphinx/_toc.yml.in
@@ -27,6 +27,24 @@ subtrees:
     title: ROCm on Radeon GPUs
   - file: how-to/deep-learning-rocm.md
     title: Deep learning frameworks
+    subtrees:
+    - entries:
+      - file: compatibility/ml-compatibility/pytorch-compatibility.rst
+        title: PyTorch compatibility
+      - file: compatibility/ml-compatibility/tensorflow-compatibility.rst
+        title: TensorFlow compatibility  
+      - file: compatibility/ml-compatibility/jax-compatibility.rst
+        title: JAX compatibility
+      - file: compatibility/ml-compatibility/verl-compatibility.rst
+        title: verl compatibility  
+      - file: compatibility/ml-compatibility/stanford-megatron-lm-compatibility.rst
+        title: Stanford Megatron-LM compatibility
+      - file: compatibility/ml-compatibility/dgl-compatibility.rst
+        title: DGL compatibility  
+      - file: compatibility/ml-compatibility/megablocks-compatibility.rst
+        title: Megablocks compatibility
+      - file: compatibility/ml-compatibility/taichi-compatibility.rst
+        title: Taichi compatibility 
   - file: how-to/build-rocm.rst
     title: Build ROCm from source