Add links for ipex US and CN servers

docs/readthedocs/source/doc/LLM/Overview/FAQ/faq.md

@@ -9,7 +9,7 @@ Please also refer to [here](https://github.com/intel-analytics/ipex-llm?tab=read
 
 ## How to Resolve Errors
 
-### Fail to install `ipex-llm` through `pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/`
+### Fail to install `ipex-llm` through `pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/` or `pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/`
 
 You could try to install IPEX-LLM dependencies for Intel XPU from source archives:
 - For Windows system, refer to [here](https://ipex-llm.readthedocs.io/en/latest/doc/LLM/Overview/install_gpu.html#install-ipex-llm-from-wheel) for the steps.

docs/readthedocs/source/doc/LLM/Overview/install_gpu.md

@@ -50,13 +50,28 @@ We recommend using [miniconda](https://docs.conda.io/en/latest/miniconda.html) t
    ``ipex-llm`` is tested with Python 3.9, 3.10 and 3.11. Python 3.9 is recommended for best practices.
 ```
 
-The easiest ways to install `ipex-llm` is the following commands:
+The easiest ways to install `ipex-llm` is the following commands,
+choosing either US or CN website for `extra-index-url`:
 
-```
-conda create -n llm python=3.9 libuv
-conda activate llm
+```eval_rst
+.. tabs::
+   .. tab:: US
+
+      .. code-block:: cmd
+
+         conda create -n llm python=3.9 libuv
+         conda activate llm
+
+         pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
+
+   .. tab:: CN
+
+      .. code-block:: cmd
+
+         conda create -n llm python=3.9 libuv
+         conda activate llm
 
-pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
+         pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
 ```
 
 ### Install IPEX-LLM From Wheel
@@ -388,30 +403,62 @@ We recommend using [miniconda](https://docs.conda.io/en/latest/miniconda.html) t
 .. tabs::
    .. tab:: PyTorch 2.1
 
-      .. code-block:: bash
+      .. tabs::
+         .. tab:: US
 
-         conda create -n llm python=3.9
-         conda activate llm
+            .. code-block:: bash
 
-         pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
+               conda create -n llm python=3.9
+               conda activate llm
 
-      .. note::
+               pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
+
+            .. note::
 
-         The ``xpu`` option will install IPEX-LLM with PyTorch 2.1 by default, which is equivalent to
+               The ``xpu`` option will install IPEX-LLM with PyTorch 2.1 by default, which is equivalent to
 
-         .. code-block:: bash
+               .. code-block:: bash
+
+                  pip install --pre --upgrade ipex-llm[xpu_2.1] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
+
+         .. tab:: CN
+
+            .. code-block:: bash
+
+               conda create -n llm python=3.9
+               conda activate llm
+
+               pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
+
+            .. note::
+
+               The ``xpu`` option will install IPEX-LLM with PyTorch 2.1 by default, which is equivalent to
+
+               .. code-block:: bash
 
-            pip install --pre --upgrade ipex-llm[xpu_2.1] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
+                  pip install --pre --upgrade ipex-llm[xpu_2.1] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
             
 
    .. tab:: PyTorch 2.0
 
-      .. code-block:: bash
+      .. tabs::
+         .. tab:: US
 
-         conda create -n llm python=3.9
-         conda activate llm
+            .. code-block:: bash
+
+               conda create -n llm python=3.9
+               conda activate llm
+
+               pip install --pre --upgrade ipex-llm[xpu_2.0] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
+
+         .. tab:: CN
+
+            .. code-block:: bash
+
+               conda create -n llm python=3.9
+               conda activate llm
 
-         pip install --pre --upgrade ipex-llm[xpu_2.0] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
+               pip install --pre --upgrade ipex-llm[xpu_2.0] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
 
 ```
 

docs/readthedocs/source/doc/LLM/Quickstart/install_linux_gpu.md

@@ -94,10 +94,29 @@ conda activate llm
 
 ## Install `ipex-llm`
 
-* With the `llm` environment active, use `pip` to install `ipex-llm` for GPU:
-  ```
-  pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
-  ```
+With the `llm` environment active, use `pip` to install `ipex-llm` for GPU:
+Choose either US or CN website for `extra-index-url`:
+
+```eval_rst
+.. tabs::
+   .. tab:: US
+
+      .. code-block:: cmd
+
+         pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
+
+   .. tab:: CN
+
+      .. code-block:: cmd
+
+         pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
+```
+
+```eval_rst
+.. note::
+
+  If you encounter network issues while installing IPEX, refer to `this guide <https://ipex-llm.readthedocs.io/en/latest/doc/LLM/Overview/install_gpu.html#id3>`_ for troubleshooting advice.
+```
 
 ## Verify Installation
 * You can verify if `ipex-llm` is successfully installed by simply importing a few classes from the library. For example, execute the following import command in the terminal: