镜像构建历史
# 2025-05-02 05:26:28 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["python3" "-m" "vllm.entrypoints.openai.api_server"]
# 2025-05-02 05:26:28 0.00B 设置环境变量 VLLM_USAGE_SOURCE
ENV VLLM_USAGE_SOURCE=production-docker-image
# 2025-05-02 05:26:28 325.11MB 执行命令并创建新的镜像层
RUN |1 TARGETPLATFORM=linux/amd64 /bin/sh -c if [ "$TARGETPLATFORM" = "linux/arm64" ]; then uv pip install --system accelerate hf_transfer 'modelscope!=1.15.0' 'bitsandbytes>=0.42.0' 'timm==0.9.10' boto3 runai-model-streamer runai-model-streamer[s3]; else uv pip install --system accelerate hf_transfer 'modelscope!=1.15.0' 'bitsandbytes>=0.45.3' 'timm==0.9.10' boto3 runai-model-streamer runai-model-streamer[s3]; fi # buildkit
# 2025-05-02 05:26:25 0.00B 设置环境变量 UV_HTTP_TIMEOUT
ENV UV_HTTP_TIMEOUT=500
# 2025-05-02 05:26:25 0.00B 定义构建参数
ARG TARGETPLATFORM
# 2025-05-02 05:26:25 68.15MB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.1.0 PYTHON_VERSION=3.12 TARGETPLATFORM=linux/amd64 /bin/sh -c uv pip install --system -r requirements/build.txt # buildkit
# 2025-05-02 05:26:23 133.00B 复制新文件或目录到容器中
COPY requirements/build.txt requirements/build.txt # buildkit
# 2025-05-02 05:26:23 27.29KB 复制新文件或目录到容器中
COPY ./vllm/collect_env.py . # buildkit
# 2025-05-02 05:26:23 487.03KB 复制新文件或目录到容器中
COPY benchmarks benchmarks # buildkit
# 2025-05-02 05:26:23 525.89KB 复制新文件或目录到容器中
COPY examples examples # buildkit
# 2025-05-02 05:26:23 765.23MB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.1.0 PYTHON_VERSION=3.12 TARGETPLATFORM=linux/amd64 /bin/sh -c . /etc/environment && if [ "$TARGETPLATFORM" != "linux/arm64" ]; then uv pip install --system https://github.com/flashinfer-ai/flashinfer/releases/download/v0.2.1.post2/flashinfer_python-0.2.1.post2+cu124torch2.6-cp38-abi3-linux_x86_64.whl ; fi # buildkit
# 2025-05-02 05:26:15 7.44GB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.1.0 PYTHON_VERSION=3.12 TARGETPLATFORM=linux/amd64 /bin/sh -c uv pip install --system dist/*.whl --verbose && export PIP_EXTRA_INDEX_URL="https://sasha0552.github.io/pascal-pkgs-ci/" && python3 -m pip install transient-package && transient-package install --source triton --target triton-pascal && sed -e "s/.major < 7/.major < 6/g" -e "s/.major >= 7/.major >= 6/g" -i /usr/local/lib/python3.12/dist-packages/torch/_inductor/scheduler.py /usr/local/lib/python3.12/dist-packages/torch/utils/_triton.py # buildkit
# 2025-05-02 05:25:30 0.00B 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.1.0 PYTHON_VERSION=3.12 TARGETPLATFORM=linux/amd64 /bin/sh -c if [ "$TARGETPLATFORM" = "linux/arm64" ]; then uv pip install --system --index-url https://download.pytorch.org/whl/nightly/cu128 "torch==2.8.0.dev20250318+cu128" "torchvision==0.22.0.dev20250319"; uv pip install --system --index-url https://download.pytorch.org/whl/nightly/cu128 --pre pytorch_triton==3.3.0+gitab727c40; fi # buildkit
# 2025-05-02 05:25:30 56.86KB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.1.0 PYTHON_VERSION=3.12 TARGETPLATFORM=linux/amd64 /bin/sh -c ldconfig /usr/local/cuda-$(echo $CUDA_VERSION | cut -d. -f1,2)/compat/ # buildkit
# 2025-05-02 05:25:30 0.00B 设置环境变量 UV_HTTP_TIMEOUT
ENV UV_HTTP_TIMEOUT=500
# 2025-05-02 05:25:30 60.65MB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.1.0 PYTHON_VERSION=3.12 TARGETPLATFORM=linux/amd64 /bin/sh -c python3 -m pip install uv # buildkit
# 2025-05-02 05:25:28 825.33MB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.1.0 PYTHON_VERSION=3.12 TARGETPLATFORM=linux/amd64 /bin/sh -c echo 'tzdata tzdata/Areas select America' | debconf-set-selections && echo 'tzdata tzdata/Zones/America select Los_Angeles' | debconf-set-selections && apt-get update -y && apt-get install -y ccache software-properties-common git curl wget sudo vim python3-pip && apt-get install -y ffmpeg libsm6 libxext6 libgl1 && add-apt-repository ppa:deadsnakes/ppa && apt-get update -y && apt-get install -y python${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
# 2025-05-02 05:24:42 136.00B 执行命令并创建新的镜像层
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
# 2025-05-02 05:24:41 0.00B 定义构建参数
ARG TARGETPLATFORM
# 2025-05-02 05:24:41 0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
# 2025-05-02 05:24:41 0.00B 设置工作目录为/vllm-workspace
WORKDIR /vllm-workspace
# 2025-05-02 05:24:41 0.00B 定义构建参数
ARG PYTHON_VERSION=3.12
# 2025-05-02 05:24:41 0.00B 定义构建参数
ARG CUDA_VERSION=12.4.1
# 2023-11-10 14:02:16 0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
# 2023-11-10 14:02:16 385.64KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
# 2023-11-10 14:02:04 4.81GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-dev-12-1=${NV_CUDA_CUDART_DEV_VERSION} cuda-command-line-tools-12-1=${NV_CUDA_LIB_VERSION} cuda-minimal-build-12-1=${NV_CUDA_LIB_VERSION} cuda-libraries-dev-12-1=${NV_CUDA_LIB_VERSION} cuda-nvml-dev-12-1=${NV_NVML_DEV_VERSION} ${NV_NVPROF_DEV_PACKAGE} ${NV_LIBNPP_DEV_PACKAGE} libcusparse-dev-12-1=${NV_LIBCUSPARSE_DEV_VERSION} ${NV_LIBCUBLAS_DEV_PACKAGE} ${NV_LIBNCCL_DEV_PACKAGE} ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 14:02:04 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 14:02:04 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.17.1-1+cuda12.1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.17.1-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.17.1-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-1=12.1.55-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.1.55-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-1=12.1.0-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.1.0-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-1=12.1.0.26-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.1.0.26-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-1=12.0.2.50-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.0.2.50-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.0.2.55-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.1.55-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.1.55-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.1.0-1
# 2023-11-10 13:49:20 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
# 2023-11-10 13:49:20 0.00B 设置环境变量 NVIDIA_CUDA_END_OF_LIFE
ENV NVIDIA_CUDA_END_OF_LIFE=1
# 2023-11-10 13:49:20 0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
# 2023-11-10 13:49:20 2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
# 2023-11-10 13:49:20 3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
# 2023-11-10 13:49:20 261.38KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
# 2023-11-10 13:49:19 1.99GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-12-1=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-12-1=${NV_NVTX_VERSION} libcusparse-12-1=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 13:49:19 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 13:49:19 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.1
# 2023-11-10 13:49:19 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.17.1-1
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.0.26-1
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.1.0.26-1
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.0.2.55-1
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-1=12.0.2.50-1
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.0.2.50-1
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.1.66-1
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.1.0-1
# 2023-11-10 13:44:29 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2023-11-10 13:44:29 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2023-11-10 13:44:29 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2023-11-10 13:44:29 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
# 2023-11-10 13:44:29 0.00B 设置环境变量 PATH
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 13:44:29 46.00B 执行命令并创建新的镜像层
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 13:44:29 149.59MB 执行命令并创建新的镜像层
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} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 13:44:18 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.1.0
# 2023-11-10 13:44:18 10.56MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${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 13:44:18 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 13:44:18 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 13:44:18 0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1
# 2023-11-10 13:44:18 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.1.55-1
# 2023-11-10 13:44:18 0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand
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 13:44:18 0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
# 2023-10-05 15:33:32 0.00B
/bin/sh -c #(nop) CMD ["/bin/bash"]
# 2023-10-05 15:33:32 77.82MB
/bin/sh -c #(nop) ADD file:63d5ab3ef0aab308c0e71cb67292c5467f60deafa9b0418cbb220affcd078444 in /
# 2023-10-05 15:33:30 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.version=22.04
# 2023-10-05 15:33:30 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
# 2023-10-05 15:33:30 0.00B
/bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
# 2023-10-05 15:33:30 0.00B
/bin/sh -c #(nop) ARG RELEASE
镜像信息
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],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2025-05-01T21:26:28.636129031Z",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "",
"Author": "",
"Config": {
"Hostname": "",
"Domainname": "",
"User": "",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"Env": [
"PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
"NVARCH=x86_64",
"NVIDIA_REQUIRE_CUDA=cuda\u003e=12.1 brand=tesla,driver\u003e=470,driver\u003c471 brand=unknown,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=geforce,driver\u003e=470,driver\u003c471 brand=geforcertx,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=titan,driver\u003e=470,driver\u003c471 brand=titanrtx,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=525,driver\u003c526 brand=unknown,driver\u003e=525,driver\u003c526 brand=nvidia,driver\u003e=525,driver\u003c526 brand=nvidiartx,driver\u003e=525,driver\u003c526 brand=geforce,driver\u003e=525,driver\u003c526 brand=geforcertx,driver\u003e=525,driver\u003c526 brand=quadro,driver\u003e=525,driver\u003c526 brand=quadrortx,driver\u003e=525,driver\u003c526 brand=titan,driver\u003e=525,driver\u003c526 brand=titanrtx,driver\u003e=525,driver\u003c526",
"NV_CUDA_CUDART_VERSION=12.1.55-1",
"NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1",
"CUDA_VERSION=12.1.0",
"LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
"NVIDIA_VISIBLE_DEVICES=all",
"NVIDIA_DRIVER_CAPABILITIES=compute,utility",
"NV_CUDA_LIB_VERSION=12.1.0-1",
"NV_NVTX_VERSION=12.1.66-1",
"NV_LIBNPP_VERSION=12.0.2.50-1",
"NV_LIBNPP_PACKAGE=libnpp-12-1=12.0.2.50-1",
"NV_LIBCUSPARSE_VERSION=12.0.2.55-1",
"NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1",
"NV_LIBCUBLAS_VERSION=12.1.0.26-1",
"NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.0.26-1",
"NV_LIBNCCL_PACKAGE_NAME=libnccl2",
"NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1",
"NCCL_VERSION=2.17.1-1",
"NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.1",
"NVIDIA_PRODUCT_NAME=CUDA",
"NVIDIA_CUDA_END_OF_LIFE=1",
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