diff --git a/docs/source/tutorials/index.md b/docs/source/tutorials/index.md
index c2236a0..971e6e0 100644
--- a/docs/source/tutorials/index.md
+++ b/docs/source/tutorials/index.md
@@ -16,6 +16,7 @@ multi_npu_quantization
 single_node_300i
 multi_node
 multi_node_kimi
+multi_node_qwen3vl
 multi_node_pd_disaggregation
 multi_node_ray
 :::
diff --git a/docs/source/tutorials/multi_node_qwen3vl.md b/docs/source/tutorials/multi_node_qwen3vl.md
new file mode 100644
index 0000000..40a4d2a
--- /dev/null
+++ b/docs/source/tutorials/multi_node_qwen3vl.md
@@ -0,0 +1,156 @@
+# Multi-Node-DP (Qwen3-VL-235B-A22B)
+
+## Verify Multi-Node Communication Environment
+
+referring to [multi_node.md](https://vllm-ascend.readthedocs.io/en/latest/tutorials/multi_node.html#verification-process)
+
+## Run with docker
+Assume you have an Atlas 800 A3(64G*16) nodes(or 2 * A2), and want to deploy the `Qwen3-VL-235B-A22B-Instruct` model across multi-node.
+
+```{code-block} bash
+   :substitutions:
+# Update the vllm-ascend image
+export IMAGE=quay.io/ascend/vllm-ascend:|vllm_ascend_version|
+docker run --rm \
+--name vllm-ascend \
+--net=host \
+--device /dev/davinci0 \
+--device /dev/davinci1 \
+--device /dev/davinci2 \
+--device /dev/davinci3 \
+--device /dev/davinci4 \
+--device /dev/davinci5 \
+--device /dev/davinci6 \
+--device /dev/davinci7 \
+--device /dev/davinci8 \
+--device /dev/davinci9 \
+--device /dev/davinci10 \
+--device /dev/davinci11 \
+--device /dev/davinci12 \
+--device /dev/davinci13 \
+--device /dev/davinci14 \
+--device /dev/davinci15 \
+--device /dev/davinci_manager \
+--device /dev/devmm_svm \
+--device /dev/hisi_hdc \
+-v /usr/local/dcmi:/usr/local/dcmi \
+-v /usr/local/Ascend/driver/tools/hccn_tool:/usr/local/Ascend/driver/tools/hccn_tool \
+-v /usr/local/bin/npu-smi:/usr/local/bin/npu-smi \
+-v /usr/local/Ascend/driver/lib64/:/usr/local/Ascend/driver/lib64/ \
+-v /usr/local/Ascend/driver/version.info:/usr/local/Ascend/driver/version.info \
+-v /etc/ascend_install.info:/etc/ascend_install.info \
+-v /root/.cache:/root/.cache \
+-p 8000:8000 \
+-it $IMAGE bash
+```
+
+Run the following scripts on two nodes respectively
+
+:::{note}
+Before launch the inference server, ensure the following environment variables are set for multi node communication
+:::
+
+node0
+
+```shell
+#!/bin/sh
+# this obtained through ifconfig
+# nic_name is the network interface name corresponding to local_ip
+nic_name="xxxx"
+local_ip="xxxx"
+
+export HCCL_IF_IP=$local_ip
+export GLOO_SOCKET_IFNAME=$nic_name
+export TP_SOCKET_IFNAME=$nic_name
+export HCCL_SOCKET_IFNAME=$nic_name
+export OMP_PROC_BIND=false
+export OMP_NUM_THREADS=100
+export VLLM_USE_V1=1
+export HCCL_BUFFSIZE=1024
+
+vllm serve Qwen/Qwen3-VL-235B-A22B-Instruct \
+--host 0.0.0.0 \
+--port 8000 \
+--data-parallel-size 2 \
+--api-server-count 2 \
+--data-parallel-size-local 1 \
+--data-parallel-address $local_ip \
+--data-parallel-rpc-port 13389 \
+--seed 1024 \
+--served-model-name qwen3vl \
+--tensor-parallel-size 8 \
+--enable-expert-parallel \
+--max-num-seqs 16 \
+--max-model-len 32768 \
+--max-num-batched-tokens 4096 \
+--trust-remote-code \
+--no-enable-prefix-caching \
+--gpu-memory-utilization 0.8 \
+```
+
+node1
+
+```shell
+#!/bin/sh
+
+nic_name="xxxx"
+local_ip="xxxx"
+node0_ip="xxxx"
+
+export HCCL_IF_IP=$local_ip
+export GLOO_SOCKET_IFNAME=$nic_name
+export TP_SOCKET_IFNAME=$nic_name
+export HCCL_SOCKET_IFNAME=$nic_name
+export OMP_PROC_BIND=false
+export OMP_NUM_THREADS=100
+export VLLM_USE_V1=1
+export HCCL_BUFFSIZE=1024
+
+vllm serve Qwen/Qwen3-VL-235B-A22B-Instruct \
+--host 0.0.0.0 \
+--port 8000 \
+--headless \
+--data-parallel-size 2 \
+--data-parallel-size-local 1 \
+--data-parallel-start-rank 1 \
+--data-parallel-address $node0_ip \
+--data-parallel-rpc-port 13389 \
+--seed 1024 \
+--tensor-parallel-size 8 \
+--served-model-name qwen3vl \
+--max-num-seqs 16 \
+--max-model-len 32768 \
+--max-num-batched-tokens 4096 \
+--enable-expert-parallel \
+--trust-remote-code \
+--no-enable-prefix-caching \
+--gpu-memory-utilization 0.8 \
+```
+
+If the service starts successfully, the following information will be displayed on node0:
+
+```shell
+INFO:     Started server process [44610]
+INFO:     Waiting for application startup.
+INFO:     Application startup complete.
+INFO:     Started server process [44611]
+INFO:     Waiting for application startup.
+INFO:     Application startup complete.
+```
+
+Once your server is started, you can query the model with input prompts:
+
+```shell
+curl http://localhost:8000/v1/chat/completions \
+    -H "Content-Type: application/json" \
+    -d '{
+    "model": "qwen3vl",
+    "messages": [
+    {"role": "system", "content": "You are a helpful assistant."},
+    {"role": "user", "content": [
+        {"type": "image_url", "image_url": {"url": "https://modelscope.oss-cn-beijing.aliyuncs.com/resource/qwen.png"}},
+        {"type": "text", "text": "What is the text in the illustrate?"}
+    ]}
+    ]
+    }'
+```