diff --git a/docs/mddocs/Quickstart/llama3_llamacpp_ollama_quickstart.md b/docs/mddocs/Quickstart/llama3_llamacpp_ollama_quickstart.md
index f42ffe46..40fcd31f 100644
--- a/docs/mddocs/Quickstart/llama3_llamacpp_ollama_quickstart.md
+++ b/docs/mddocs/Quickstart/llama3_llamacpp_ollama_quickstart.md
@@ -52,6 +52,8 @@ To use GPU acceleration, several environment variables are required or recommend
   source /opt/intel/oneapi/setvars.sh
   export SYCL_CACHE_PERSISTENT=1
   export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
+  # [optional] if you want to run on single GPU, use below command to limit GPU may improve performance
+  export ONEAPI_DEVICE_SELECTOR=level_zero:0
   ```
 
 - For **Windows users**:
@@ -63,6 +65,8 @@ To use GPU acceleration, several environment variables are required or recommend
   set SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
   ```
 
+> [!TIP]
+> When your machine has multi GPUs and you want to run on one of them, you need to set `ONEAPI_DEVICE_SELECTOR=level_zero:[gpu_id]`, here `[gpu_id]` varies based on your requirement. For more details, you can refer to [this section](../Overview/KeyFeatures/multi_gpus_selection.md#2-oneapi-device-selector).
 
 ##### Run llama3
 
@@ -128,6 +132,8 @@ Launch the Ollama service:
   source /opt/intel/oneapi/setvars.sh
   export SYCL_CACHE_PERSISTENT=1
   export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
+  # [optional] if you want to run on single GPU, use below command to limit GPU may improve performance
+  export ONEAPI_DEVICE_SELECTOR=level_zero:0
 
   ./ollama serve
   ```
@@ -151,6 +157,10 @@ Launch the Ollama service:
 >
 > To allow the service to accept connections from all IP addresses, use `OLLAMA_HOST=0.0.0.0 ./ollama serve` instead of just `./ollama serve`.
 
+> [!TIP]
+> When your machine has multi GPUs and you want to run on one of them, you need to set `ONEAPI_DEVICE_SELECTOR=level_zero:[gpu_id]`, here `[gpu_id]` varies based on your requirement. For more details, you can refer to [this section](../Overview/KeyFeatures/multi_gpus_selection.md#2-oneapi-device-selector).
+
+
 ##### 2.2.2 Using Ollama Run Llama3
 
 Keep the Ollama service on and open another terminal and run llama3 with `ollama run`:
diff --git a/docs/mddocs/Quickstart/llama_cpp_quickstart.md b/docs/mddocs/Quickstart/llama_cpp_quickstart.md
index afac3bf1..2bd16289 100644
--- a/docs/mddocs/Quickstart/llama_cpp_quickstart.md
+++ b/docs/mddocs/Quickstart/llama_cpp_quickstart.md
@@ -118,6 +118,8 @@ To use GPU acceleration, several environment variables are required or recommend
   source /opt/intel/oneapi/setvars.sh
   export SYCL_CACHE_PERSISTENT=1
   export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
+  # [optional] if you want to run on single GPU, use below command to limit GPU may improve performance
+  export ONEAPI_DEVICE_SELECTOR=level_zero:0
   ```
 
 - For **Windows users**:
@@ -129,6 +131,9 @@ To use GPU acceleration, several environment variables are required or recommend
   set SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
   ```
 
+> [!TIP]
+> When your machine has multi GPUs and you want to run on one of them, you need to set `ONEAPI_DEVICE_SELECTOR=level_zero:[gpu_id]`, here `[gpu_id]` varies based on your requirement. For more details, you can refer to [this section](../Overview/KeyFeatures/multi_gpus_selection.md#2-oneapi-device-selector).
+
 ### 3. Example: Running community GGUF models with IPEX-LLM
 
 Here we provide a simple example to show how to run a community GGUF model with IPEX-LLM.
diff --git a/docs/mddocs/Quickstart/ollama_quickstart.md b/docs/mddocs/Quickstart/ollama_quickstart.md
index 8f940c43..d4519be8 100644
--- a/docs/mddocs/Quickstart/ollama_quickstart.md
+++ b/docs/mddocs/Quickstart/ollama_quickstart.md
@@ -73,6 +73,8 @@ You may launch the Ollama service as below:
   source /opt/intel/oneapi/setvars.sh
   export SYCL_CACHE_PERSISTENT=1
   export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
+  # [optional] if you want to run on single GPU, use below command to limit GPU may improve performance
+  export ONEAPI_DEVICE_SELECTOR=level_zero:0
 
   ./ollama serve
   ```
@@ -97,6 +99,9 @@ You may launch the Ollama service as below:
 > [!NOTE]
 > To allow the service to accept connections from all IP addresses, use `OLLAMA_HOST=0.0.0.0 ./ollama serve` instead of just `./ollama serve`.
 
+> [!TIP]
+> When your machine has multi GPUs and you want to run on one of them, you need to set `ONEAPI_DEVICE_SELECTOR=level_zero:[gpu_id]`, here `[gpu_id]` varies based on your requirement. For more details, you can refer to [this section](../Overview/KeyFeatures/multi_gpus_selection.md#2-oneapi-device-selector).
+
 The console will display messages similar to the following:
 
 <a href="https://llm-assets.readthedocs.io/en/latest/_images/ollama_serve.png" target="_blank">