diff --git a/docs/platforms/ascend/ascend_npu_quick_start.md b/docs/platforms/ascend/ascend_npu_quick_start.md
new file mode 100644
index 000000000..7f0bef6e8
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+++ b/docs/platforms/ascend/ascend_npu_quick_start.md
@@ -0,0 +1,103 @@
+# Ascend NPU Quickstart
+
+## Prerequisites
+
+### Supported Devices
+
+- Atlas 800I A2 inference series (Atlas 800I A2)
+- Atlas 800I A3 inference series (Atlas 800I A3)
+
+## Setup environment using container
+
+__Notice:__ The following commands are based on Atlas 800I A3 machines. If you are using Atlas 800I A2, some changes are needed.
+
+- The image tag needs to be `main-cann8.5.0-a3` for Atlas 800I A3 and `main-cann8.5.0-910b` for Atlas 800I A2.
+- The device mapping in `docker run` command needs to be changed to `davinci[0-7]` for Atlas 800I A2.
+
+```shell
+# For Atlas 800I A3
+export IMAGE=quay.io/ascend/sglang:main-cann8.5.0-a3
+
+docker run -it --rm --privileged --network=host --ipc=host --shm-size=16g \
+    --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/hisi_hdc \
+    --volume /usr/local/sbin:/usr/local/sbin \
+    --volume /usr/local/Ascend/driver:/usr/local/Ascend/driver \
+    --volume /usr/local/Ascend/firmware:/usr/local/Ascend/firmware \
+    --volume /etc/ascend_install.info:/etc/ascend_install.info \
+    --volume /var/queue_schedule:/var/queue_schedule \
+    --volume ~/.cache/:/root/.cache/ \
+    --entrypoint=bash \
+    $IMAGE
+```
+
+## Usage
+
+The SGLang server is installed in the container by default. You can use `pip show sglang` to check the version.
+
+### Start SGLang server
+
+SGLang will automatically download the model from Hugging Face.
+
+```shell
+# Set HF_ENDPOINT to a mirror site if network is not available
+export HF_ENDPOINT=https://hf-mirror.com
+
+# Set your own HF_TOKEN to download restricted models
+export HF_TOKEN=<secret>
+
+# Start SGLang server
+# It may take several minutes to download the model on the first run
+sglang serve --model-path Qwen/Qwen2.5-7B-Instruct --attention-backend ascend &
+```
+
+If you see output like the following, the server is running.
+
+```log
+INFO:     Waiting for application startup.
+INFO:     Application startup complete.
+INFO:     Uvicorn running on http://127.0.0.1:30000 (Press CTRL+C to quit)
+The server is fired up and ready to roll!
+```
+
+### Send a test request
+
+You can do inference using the server:
+
+```shell
+curl -X POST http://localhost:30000/generate \
+    -H "Content-Type: application/json" \
+    -d '{
+        "text": "The capital of France is",
+        "sampling_params": {
+            "temperature": 0,
+            "max_new_tokens": 16
+        }
+    }'
+```
+
+If the "text" field in the response contains "Paris", the server is working as expected.
+
+### Stop server and exit container
+
+The SGLang server is running as a background process. You can send a `SIGINT` signal to stop it.
+
+```shell
+SGLANG_PID=$(pgrep -f "sglang serve")
+kill -SIGINT $SGLANG_PID
+```
+
+The output should be like the following:
+
+```log
+INFO:     Shutting down
+INFO:     Waiting for application shutdown.
+INFO:     Application shutdown complete.
+INFO:     Finished server process [25310]
+```
+
+The server has now stopped. You can verify it with `ps -ef | grep sglang`, then exit the container by pressing `Ctrl+D`.
diff --git a/docs/platforms/ascend/ascend_npu_support.rst b/docs/platforms/ascend/ascend_npu_support.rst
index a579cbfb1..1c0bbc276 100644
--- a/docs/platforms/ascend/ascend_npu_support.rst
+++ b/docs/platforms/ascend/ascend_npu_support.rst
@@ -4,6 +4,7 @@ Ascend NPUs
 .. toctree::
    :maxdepth: 1
 
+   ascend_npu_quick_start.md
    ascend_npu.md
    ascend_npu_support_features.md
    ascend_npu_support_models.md