diff --git a/docker/Dockerfile.npu b/docker/Dockerfile.npu
index a5abaa679..47ea99fc7 100644
--- a/docker/Dockerfile.npu
+++ b/docker/Dockerfile.npu
@@ -2,9 +2,22 @@ ARG VLLM_ASCEND_IMAGE=quay.io/ascend/vllm-ascend
 ARG VLLM_ASCEND_TAG=v0.17.0rc1
 FROM ${VLLM_ASCEND_IMAGE}:${VLLM_ASCEND_TAG}
 
+WORKDIR /vllm-workspace/vllm
+RUN git fetch origin --tags && git checkout v0.18.0
+
+WORKDIR /vllm-workspace/vllm-ascend
+RUN git fetch origin releases/v0.18.0 && git checkout d781902ce9dbda8ab1e11bb0f2f0c1bc508fee7a
+# Install vllm-ascend
+# Append `libascend_hal.so` path (devlib) to LD_LIBRARY_PATH
+RUN export PIP_EXTRA_INDEX_URL=https://mirrors.huaweicloud.com/ascend/repos/pypi && \
+    source /usr/local/Ascend/ascend-toolkit/set_env.sh && \
+    source /usr/local/Ascend/nnal/atb/set_env.sh && \
+    export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/Ascend/ascend-toolkit/latest/`uname -i`-linux/devlib && \
+    python3 -m pip install -v -e /vllm-workspace/vllm-ascend/ --extra-index https://download.pytorch.org/whl/cpu/ && \
+    python3 -m pip cache purge
+
 ARG APP_DIR=/vllm-workspace/vllm-omni
 WORKDIR ${APP_DIR}
-
 COPY . .
 
 RUN export PIP_EXTRA_INDEX_URL=https://mirrors.huaweicloud.com/ascend/repos/pypi && \
diff --git a/docker/Dockerfile.npu.a3 b/docker/Dockerfile.npu.a3
index 340bc6175..e91938257 100644
--- a/docker/Dockerfile.npu.a3
+++ b/docker/Dockerfile.npu.a3
@@ -2,9 +2,22 @@ ARG VLLM_ASCEND_IMAGE=quay.io/ascend/vllm-ascend
 ARG VLLM_ASCEND_TAG=v0.17.0rc1-a3
 FROM ${VLLM_ASCEND_IMAGE}:${VLLM_ASCEND_TAG}
 
+WORKDIR /vllm-workspace/vllm
+RUN git fetch origin --tags && git checkout v0.18.0
+
+WORKDIR /vllm-workspace/vllm-ascend
+RUN git fetch origin releases/v0.18.0 && git checkout d781902ce9dbda8ab1e11bb0f2f0c1bc508fee7a
+# Install vllm-ascend
+# Append `libascend_hal.so` path (devlib) to LD_LIBRARY_PATH
+RUN export PIP_EXTRA_INDEX_URL=https://mirrors.huaweicloud.com/ascend/repos/pypi && \
+    source /usr/local/Ascend/ascend-toolkit/set_env.sh && \
+    source /usr/local/Ascend/nnal/atb/set_env.sh && \
+    export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/Ascend/ascend-toolkit/latest/`uname -i`-linux/devlib && \
+    python3 -m pip install -v -e /vllm-workspace/vllm-ascend/ --extra-index https://download.pytorch.org/whl/cpu/ && \
+    python3 -m pip cache purge
+
 ARG APP_DIR=/vllm-workspace/vllm-omni
 WORKDIR ${APP_DIR}
-
 COPY . .
 
 RUN export PIP_EXTRA_INDEX_URL=https://mirrors.huaweicloud.com/ascend/repos/pypi && \
diff --git a/docs/getting_started/installation/npu/npu.inc.md b/docs/getting_started/installation/npu/npu.inc.md
index d292ebdb6..b718bd493 100644
--- a/docs/getting_started/installation/npu/npu.inc.md
+++ b/docs/getting_started/installation/npu/npu.inc.md
@@ -10,10 +10,10 @@ The recommended way to use vLLM-Omni on NPU is through the vllm-ascend pre-built
 ```bash
 # Update the vllm-ascend image
 # Atlas A2:
-# export IMAGE=quay.io/ascend/vllm-ascend:v0.14.0rc1
+# export IMAGE=quay.io/ascend/vllm-ascend:v0.17.0rc1
 # Atlas A3:
-# export IMAGE=quay.io/ascend/vllm-ascend:v0.14.0rc1-a3
-export IMAGE=quay.io/ascend/vllm-ascend:v0.14.0rc1
+# export IMAGE=quay.io/ascend/vllm-ascend:v0.17.0rc1-a3
+export IMAGE=quay.io/ascend/vllm-ascend:v0.17.0rc1
 docker run --rm \
     --name vllm-omni-npu \
     --shm-size=1g \
@@ -34,20 +34,19 @@ docker run --rm \
     -it $IMAGE bash
 
 cd /vllm-workspace/vllm
-git pull origin main
 git fetch origin --tags
-git checkout v0.16.0
+git checkout v0.18.0
 
-# Because vllm-ascend will release v0.16.0rc1 after vllm-omni 0.16.0,
+# Because vllm-ascend will release v0.18.0rc1 after vllm-omni 0.16.0,
 # we have to pin vllm-ascend at the current commit.
 cd /vllm-workspace/vllm-ascend
 git pull origin main
-git checkout e2175d9c7e62b437391dfee996b1375674ba7c18
+git checkout d781902ce9dbda8ab1e11bb0f2f0c1bc508fee7a
 pip install -v -e .
 
 # Inside the container, install vLLM-Omni from source
 cd /vllm-workspace
-git clone -b v0.16.0 https://github.com/vllm-project/vllm-omni.git
+git clone -b v0.18.0 https://github.com/vllm-project/vllm-omni.git
 cd vllm-omni
 pip install -v -e . --no-build-isolation
 # or VLLM_OMNI_TARGET_DEVICE=npu pip install -v -e .
@@ -70,7 +69,6 @@ You can also build vLLM-Omni from the latest main branch if you want to use the
 ```bash
 # Pin vLLM version to 0.18.0
 cd /vllm-workspace/vllm
-git pull origin main
 git fetch origin --tags
 git checkout v0.18.0
 
@@ -78,7 +76,7 @@ git checkout v0.18.0
 cd /vllm-workspace/vllm-ascend
 git pull origin main
 git fetch origin --tags
-git checkout 1e05c4908f31737bc4eef865a9f351d030a77c9d
+git checkout d781902ce9dbda8ab1e11bb0f2f0c1bc508fee7a
 pip install -v -e .
 
 # Install vLLM-Omni from the latest main branch
@@ -106,10 +104,10 @@ Here's an example deployment command that has been verified on 4 x NPUs:
 
 ```bash
 # Atlas A2:
-# export IMAGE=quay.io/ascend/vllm-omni:v0.16.0
+# export IMAGE=quay.io/ascend/vllm-omni:v0.18.0
 # Atlas A3:
-# export IMAGE=quay.io/ascend/vllm-omni:v0.16.0-a3
-export IMAGE=quay.io/ascend/vllm-omni:v0.16.0
+# export IMAGE=quay.io/ascend/vllm-omni:v0.18.0-a3
+export IMAGE=quay.io/ascend/vllm-omni:v0.18.0
 docker run --rm \
     --name vllm-omni-npu \
     --shm-size=1g \