Namespace
vllm
Image / Tagvllm-openai:v0.7.0
Content Digestsha256:a43963ed149a7b8b6c8c9dd028d4ab2be9fe804761d41b11cc07043a1edb61a8
Details
2025-01-27 07:01:46 UTC
5.18 GB
Labels
-
maintainerNVIDIA CORPORATION <cudatools@nvidia.com>
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org.opencontainers.image.ref.nameubuntu
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org.opencontainers.image.version22.04
Environment
CUDA_VERSION12.1.0
DEBIAN_FRONTENDnoninteractive
LD_LIBRARY_PATH/usr/local/nvidia/lib:/usr/local/nvidia/lib64
NVARCHx86_64
NVIDIA_DRIVER_CAPABILITIEScompute,utility
NVIDIA_REQUIRE_CUDAcuda>=12.1 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526
NVIDIA_VISIBLE_DEVICESall
NV_CUDA_COMPAT_PACKAGEcuda-compat-12-1
NV_CUDA_CUDART_VERSION12.1.55-1
PATH/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
VLLM_USAGE_SOURCEproduction-docker-image
Layers
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[#010] sha256:7ea682f8c8a66aee10d2199d818e0e6080a70b6ecc3d7ba3691618fa08772832 - 64.63% (3.35 GB)
[#011] sha256:12720c26d92e2ccd84e4d4c0118715b0c097707307aa4fc365952a097a100b27 - 24.06% (1.25 GB)
[#012] sha256:5b800ead81b7ec692a32cb0a718f775ef6403f6949d425ed5f1957477c98b318 - 0.0% (67.6 KB)
[#013] sha256:648b00041f00b065a73a4e0b48ecb7271ac27445cf4e600eab82486780711bfa - 2.01% (106 MB)
History
/bin/sh -c #(nop) ARG RELEASE
2023-10-05 07:33:30 UTC/bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
2023-10-05 07:33:30 UTC/bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
2023-10-05 07:33:30 UTC/bin/sh -c #(nop) LABEL org.opencontainers.image.version=22.04
2023-10-05 07:33:32 UTC/bin/sh -c #(nop) ADD file:63d5ab3ef0aab308c0e71cb67292c5467f60deafa9b0418cbb220affcd078444 in /
2023-10-05 07:33:32 UTC/bin/sh -c #(nop) CMD ["/bin/bash"]
2023-11-10 05:44:18 UTC (buildkit.dockerfile.v0)ENV NVARCH=x86_64
2023-11-10 05:44:18 UTC (buildkit.dockerfile.v0)ENV NVIDIA_REQUIRE_CUDA=cuda>=12.1 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526
2023-11-10 05:44:18 UTC (buildkit.dockerfile.v0)ENV NV_CUDA_CUDART_VERSION=12.1.55-1
2023-11-10 05:44:18 UTC (buildkit.dockerfile.v0)ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1
2023-11-10 05:44:18 UTC (buildkit.dockerfile.v0)ARG TARGETARCH
2023-11-10 05:44:18 UTC (buildkit.dockerfile.v0)LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
2023-11-10 05:44:18 UTC (buildkit.dockerfile.v0)RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.0-1_all.deb && dpkg -i cuda-keyring_1.0-1_all.deb && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
2023-11-10 05:44:18 UTC (buildkit.dockerfile.v0)ENV CUDA_VERSION=12.1.0
2023-11-10 05:44:29 UTC (buildkit.dockerfile.v0)RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-12-1=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
2023-11-10 05:44:29 UTC (buildkit.dockerfile.v0)RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
2023-11-10 05:44:29 UTC (buildkit.dockerfile.v0)ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2023-11-10 05:44:29 UTC (buildkit.dockerfile.v0)ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
2023-11-10 05:44:29 UTC (buildkit.dockerfile.v0)COPY NGC-DL-CONTAINER-LICENSE / # buildkit
2023-11-10 05:44:29 UTC (buildkit.dockerfile.v0)ENV NVIDIA_VISIBLE_DEVICES=all
2023-11-10 05:44:29 UTC (buildkit.dockerfile.v0)ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
2025-01-27 06:27:40 UTC (buildkit.dockerfile.v0)ARG CUDA_VERSION=12.4.1
2025-01-27 06:27:40 UTC (buildkit.dockerfile.v0)ARG PYTHON_VERSION=3.12
2025-01-27 06:27:40 UTC (buildkit.dockerfile.v0)WORKDIR /vllm-workspace
2025-01-27 06:27:40 UTC (buildkit.dockerfile.v0)ENV DEBIAN_FRONTEND=noninteractive
2025-01-27 06:27:40 UTC (buildkit.dockerfile.v0)ARG TARGETPLATFORM
2025-01-27 06:27:43 UTC (buildkit.dockerfile.v0)RUN |3 CUDA_VERSION=12.1.0 PYTHON_VERSION=3.12 TARGETPLATFORM=linux/amd64 /bin/sh -c PYTHON_VERSION_STR=$(echo ${PYTHON_VERSION} | sed 's/\.//g') && echo "export PYTHON_VERSION_STR=${PYTHON_VERSION_STR}" >> /etc/environment # buildkit
2025-01-27 06:30:12 UTC (buildkit.dockerfile.v0)RUN |3 CUDA_VERSION=12.1.0 PYTHON_VERSION=3.12 TARGETPLATFORM=linux/amd64 /bin/sh -c echo 'tzdata tzdata/Areas select America' | debconf-set-selections && echo 'tzdata tzdata/Zones/America select Los_Angeles' | debconf-set-selections && apt-get update -y && apt-get install -y ccache software-properties-common git curl wget sudo vim python3-pip && apt-get install -y ffmpeg libsm6 libxext6 libgl1 && add-apt-repository ppa:deadsnakes/ppa && apt-get update -y && apt-get install -y python${PYTHON_VERSION} python${PYTHON_VERSION}-dev python${PYTHON_VERSION}-venv libibverbs-dev && update-alternatives --install /usr/bin/python3 python3 /usr/bin/python${PYTHON_VERSION} 1 && update-alternatives --set python3 /usr/bin/python${PYTHON_VERSION} && ln -sf /usr/bin/python${PYTHON_VERSION}-config /usr/bin/python3-config && curl -sS https://bootstrap.pypa.io/get-pip.py | python${PYTHON_VERSION} && python3 --version && python3 -m pip --version # buildkit
2025-01-27 06:30:12 UTC (buildkit.dockerfile.v0)RUN |3 CUDA_VERSION=12.1.0 PYTHON_VERSION=3.12 TARGETPLATFORM=linux/amd64 /bin/sh -c ldconfig /usr/local/cuda-$(echo $CUDA_VERSION | cut -d. -f1,2)/compat/ # buildkit
2025-01-27 06:30:13 UTC (buildkit.dockerfile.v0)RUN |3 CUDA_VERSION=12.1.0 PYTHON_VERSION=3.12 TARGETPLATFORM=linux/amd64 /bin/sh -c if [ "$TARGETPLATFORM" = "linux/arm64" ]; then python3 -m pip install --index-url https://download.pytorch.org/whl/nightly/cu124 "torch==2.6.0.dev20241210+cu124" "torchvision==0.22.0.dev20241215"; fi # buildkit
2025-01-27 07:00:44 UTC (buildkit.dockerfile.v0)RUN |3 CUDA_VERSION=12.1.0 PYTHON_VERSION=3.12 TARGETPLATFORM=linux/amd64 /bin/sh -c python3 -m pip install dist/*.whl --verbose # buildkit
2025-01-27 07:01:35 UTC (buildkit.dockerfile.v0)RUN |3 CUDA_VERSION=12.1.0 PYTHON_VERSION=3.12 TARGETPLATFORM=linux/amd64 /bin/sh -c . /etc/environment && if [ "$TARGETPLATFORM" != "linux/arm64" ]; then python3 -m pip install https://github.com/flashinfer-ai/flashinfer/releases/download/v0.1.6/flashinfer-0.1.6+cu121torch2.4-cp${PYTHON_VERSION_STR}-cp${PYTHON_VERSION_STR}-linux_x86_64.whl; fi # buildkit
2025-01-27 07:01:35 UTC (buildkit.dockerfile.v0)COPY examples examples # buildkit
2025-01-27 07:01:46 UTC (buildkit.dockerfile.v0)RUN /bin/sh -c if [ "$TARGETPLATFORM" = "linux/arm64" ]; then pip install accelerate hf_transfer 'modelscope!=1.15.0' 'bitsandbytes>=0.42.0' 'timm==0.9.10' boto3 runai-model-streamer runai-model-streamer[s3]; else pip install accelerate hf_transfer 'modelscope!=1.15.0' 'bitsandbytes>=0.45.0' 'timm==0.9.10' boto3 runai-model-streamer runai-model-streamer[s3]; fi # buildkit
2025-01-27 07:01:46 UTC (buildkit.dockerfile.v0)ENV VLLM_USAGE_SOURCE=production-docker-image
2025-01-27 07:01:46 UTC (buildkit.dockerfile.v0)ENTRYPOINT ["python3" "-m" "vllm.entrypoints.openai.api_server"]