diff --git a/docs/source/notes/get_start_xpu.rst b/docs/source/notes/get_start_xpu.rst
index 7742751d543..dde7e134645 100644
--- a/docs/source/notes/get_start_xpu.rst
+++ b/docs/source/notes/get_start_xpu.rst
@@ -8,23 +8,24 @@ Hardware Prerequisite
    :widths: 50 50
    :header-rows: 1
 
-   * - Validated Hardware
-     - Supported OS
-   * - Intel® Data Center GPU Max Series
-     - Linux
-   * - Intel Client GPU
-     - Windows/Linux
+   * - Supported OS
+     - Validated Hardware
+   * - Linux
+     - Intel® Client GPUs / Intel® Data Center GPU Max Series
+   * - Windows
+     - Intel® Client GPUs
+   * - WSL2 (experimental feature)
+     - Intel® Client GPUs
 
-Intel GPUs support (Prototype) is ready in PyTorch* 2.5 for Intel® Data Center GPU Max Series and Intel® Client GPUs on both Linux and Windows, which brings Intel GPUs and the SYCL* software stack into the official PyTorch stack with consistent user experience to embrace more AI application scenarios.
+Intel GPUs support (Prototype) is ready in PyTorch* 2.6 for Intel® Client GPUs and Intel® Data Center GPU Max Series on both Linux and Windows, which brings Intel GPUs and the SYCL* software stack into the official PyTorch stack with consistent user experience to embrace more AI application scenarios.
 
 Software Prerequisite
 ---------------------
 
-Visit `PyTorch Installation Prerequisites for Intel GPUs <https://www.intel.com/content/www/us/en/developer/articles/tool/pytorch-prerequisites-for-intel-gpus.html>`_ for more detailed information regarding:
+To use PyTorch on Intel GPUs, you need to install the Intel GPUs driver first. For installation guide, visit `Intel GPUs Driver Installation <https://www.intel.com/content/www/us/en/developer/articles/tool/pytorch-prerequisites-for-intel-gpu/2-6.html#driver-installation>`_.
+
+Intel GPU Drivers are sufficient for binary installation, while building from source requires both Intel GPU Drivers and Intel® Deep Learning Essentials. Please refer to  `PyTorch Installation Prerequisites for Intel GPUs <https://www.intel.com/content/www/us/en/developer/articles/tool/pytorch-prerequisites-for-intel-gpu/2-6.html>`_ for more information.
 
-#. Intel GPU driver installation
-#. Intel support package installation
-#. Environment setup
 
 Installation
 ------------
@@ -32,11 +33,7 @@ Installation
 Binaries
 ^^^^^^^^
 
-Platform Linux
-""""""""""""""
-
-
-Now we have all the required packages installed and environment activated. Use the following commands to install ``pytorch``, ``torchvision``, ``torchaudio`` on Linux.
+Now that we have `Intel GPU Driver <https://www.intel.com/content/www/us/en/developer/articles/tool/pytorch-prerequisites-for-intel-gpu/2-6.html#driver-installation>`_ installed, use the following commands to install ``pytorch``, ``torchvision``, ``torchaudio`` on Linux.
 
 For preview wheels
 
@@ -50,26 +47,13 @@ For nightly wheels
 
     pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/xpu
 
-Platform Windows
-""""""""""""""""
 
-Now we have all the required packages installed and environment activated. Use the following commands to install ``pytorch`` on Windows, build from source for ``torchvision`` and ``torchaudio``.
-
-For preview wheels
-
-.. code-block::
-
-    pip3 install torch --index-url https://download.pytorch.org/whl/test/xpu
-
-For nightly wheels
-
-.. code-block::
-
-    pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/xpu
 
 From Source
 ^^^^^^^^^^^
 
+Now that we have `Intel GPU Driver and Intel® Deep Learning Essentials <https://www.intel.com/content/www/us/en/developer/articles/tool/pytorch-prerequisites-for-intel-gpu/2-6.html>`_ installed. Follow guides to build ``pytorch``, ``torchvision``, ``torchaudio`` from source.
+
 Build from source for ``torch`` refer to `PyTorch Installation Build from source <https://github.com/pytorch/pytorch?tab=readme-ov-file#from-source>`_.
 
 Build from source for ``torchvision`` refer to `Torchvision Installation Build from source <https://github.com/pytorch/vision/blob/main/CONTRIBUTING.md#development-installation>`_.
@@ -86,11 +70,7 @@ To check if your Intel GPU is available, you would typically use the following c
    import torch
    torch.xpu.is_available()  # torch.xpu is the API for Intel GPU support
 
-If the output is ``False``, double check following steps below.
-
-#. Intel GPU driver installation
-#. Intel support package installation
-#. Environment setup
+If the output is ``False``, double check driver installation for Intel GPUs.
 
 Minimum Code Change
 -------------------