vllm-omni/docs/getting_started/installation/npu/npu.inc.md

--8<-- [start:requirements]

For detailed hardware and software requirements, please refer to the vllm-ascend installation documentation.

--8<-- [end:requirements]

--8<-- [start:installation]

The recommended way to use vLLM-Omni on NPU is through the vllm-ascend pre-built Docker images:

# Update DEVICE according to your NPUs (/dev/davinci[0-7])
export DEVICE0=/dev/davinci0
export DEVICE1=/dev/davinci1
# Update the vllm-ascend image
# Atlas A2:
# export IMAGE=quay.io/ascend/vllm-ascend:v0.14.0rc1
# Atlas A3:
# export IMAGE=quay.io/ascend/vllm-ascend:v0.14.0rc1-a3
export IMAGE=quay.io/ascend/vllm-ascend:v0.14.0rc1
docker run --rm \
    --name vllm-omni-npu \
    --shm-size=1g \
    --device $DEVICE0 \
    --device $DEVICE1 \
    --device /dev/davinci_manager \
    --device /dev/devmm_svm \
    --device /dev/hisi_hdc \
    -v /usr/local/dcmi:/usr/local/dcmi \
    -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

# Inside the container, install vLLM-Omni from source
cd /vllm-workspace
git clone -b v0.14.0 https://github.com/vllm-project/vllm-omni.git

cd vllm-omni
VLLM_OMNI_TARGET_DEVICE=npu pip install -v -e .
# OR pip install -v -e . --no-build-isolation
export VLLM_WORKER_MULTIPROC_METHOD=spawn

The default workdir is /workspace, with vLLM, vLLM-Ascend and vLLM-Omni code placed in /vllm-workspace installed in development mode.

For other installation methods (pip installation, building from source, custom Docker builds), please refer to the vllm-ascend installation guide.

We are keeping issue #997 up to date with the aligned versions of vLLM, vLLM-Ascend, and vLLM-Omni, and also outlining the Q1 roadmap there.

--8<-- [end:installation]

--8<-- [start:pre-built-images]

vllm-ascend offers Docker images for deployment. You can just pull the prebuilt image from the image repository ascend/vllm-ascend and run it with bash.

Supported images as following.

image name	Hardware	OS
image-tag	Atlas A2	Ubuntu
image-tag-a3	Atlas A3	Ubuntu

vLLM-Omni offers Docker images for Ascend NPU deployment. You can just pull the prebuilt image from the image repository ascend/vllm-ascend and run it with bash.

Here's an example deployment command that has been verified on 6 x NPUs:

# Atlas A2:
# export IMAGE=quay.io/ascend/vllm-omni:v0.14.0
# Atlas A3:
# export IMAGE=quay.io/ascend/vllm-omni:v0.14.0-a3
export IMAGE=quay.io/ascend/vllm-omni:v0.14.0
docker run --rm \
    --name vllm-omni-npu \
    --shm-size=1g \
    --device /dev/davinci0 \
    --device /dev/davinci1 \
    --device /dev/davinci2 \
    --device /dev/davinci3 \
    --device /dev/davinci4 \
    --device /dev/davinci5 \
    --device /dev/davinci_manager \
    --device /dev/devmm_svm \
    --device /dev/hisi_hdc \
    -v /usr/local/dcmi:/usr/local/dcmi \
    -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

!!! tip You can use this docker image to serve models the same way you would with in vLLM! To do so, make sure you overwrite the default entrypoint (vllm serve --omni) which works only for models supported in the vLLM-Omni project.

Or build IMAGE from source code:

git clone https://github.com/vllm-project/vllm-omni.git
cd vllm-omni
# A2
docker build -t vllm-omni-dev-image:latest -f ./docker/Dockerfile.npu .
# A3
# docker build -t vllm-omni-dev-image:latest -f ./docker/Dockerfile.npu.a3 .

--8<-- [end:pre-built-images]