docker.io/lmcache/vllm-openai:v0.3.0 linux/amd64

docker.io/lmcache/vllm-openai:v0.3.0 - 国内下载镜像源 浏览次数:11

这是一个用于运行vLLM大型语言模型的Docker镜像,由lmcache团队维护。vLLM是一个高效的LLM推理库,该镜像使得在Docker容器中运行OpenAI模型变得容易。

源镜像 docker.io/lmcache/vllm-openai:v0.3.0
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/vllm-openai:v0.3.0
镜像ID sha256:243f76e433a300184be05638701543d0109139290aa29ea295916ef474bdfd25
镜像TAG v0.3.0
大小 26.10GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口 /opt/venv/bin/vllm serve
工作目录 /workspace
OS/平台 linux/amd64
浏览量 11 次
贡献者
镜像创建 2025-06-10T14:31:45.721757302Z
同步时间 2025-06-12 02:38
更新时间 2025-06-13 05:49
环境变量
PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/mpi/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/amazon/efa/bin NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS= GDRCOPY_VERSION=2.4.1 HPCX_VERSION=2.22.1 MOFED_VERSION=5.4-rdmacore50.0 OPENUCX_VERSION=1.18.0 OPENMPI_VERSION=4.1.7 RDMACORE_VERSION=50.0 EFA_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=1.12.1 OPAL_PREFIX=/opt/hpcx/ompi OMPI_MCA_coll_hcoll_enable=0 CUDA_VERSION=12.8.1.012 CUDA_DRIVER_VERSION=570.124.06 CUDA_CACHE_DISABLE=1 _CUDA_COMPAT_PATH=/usr/local/cuda/compat ENV=/etc/shinit_v2 BASH_ENV=/etc/bash.bashrc SHELL=/bin/bash NVIDIA_REQUIRE_CUDA=cuda>=9.0 NCCL_VERSION=2.25.1 CUBLAS_VERSION=12.8.4.1 CUFFT_VERSION=11.3.3.83 CURAND_VERSION=10.3.9.90 CUSPARSE_VERSION=12.5.8.93 CUSPARSELT_VERSION=0.7.1.0 CUSOLVER_VERSION=11.7.3.90 NPP_VERSION=12.3.3.100 NVJPEG_VERSION=12.3.5.92 CUFILE_VERSION=1.13.1.3 NVJITLINK_VERSION=12.8.93 CUBLASMP_VERSION=0.4.0.789 CAL_VERSION=0.4.4.50 NVSHMEM_VERSION=3.2.5 CUDNN_VERSION=9.8.0.87 CUDNN_FRONTEND_VERSION=1.10.0 TRT_VERSION=10.9.0.34 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.1.1.110 NSIGHT_COMPUTE_VERSION=2025.1.1.2 DALI_VERSION=1.47.0 DALI_BUILD= DALI_URL_SUFFIX=120 POLYGRAPHY_VERSION=0.49.18 TRANSFORMER_ENGINE_VERSION=2.1 MODEL_OPT_VERSION=0.25.0 LD_LIBRARY_PATH=/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility,video NVIDIA_PRODUCT_NAME=CUDA LIBRARY_PATH=/usr/local/cuda/lib64/stubs: DEBIAN_FRONTEND=noninteractive TORCH_CUDA_ARCH_LIST=7.0 7.5 8.0 8.6 8.9 9.0+PTX VLLM_FA_CMAKE_GPU_ARCHES=80-real;90-real
镜像标签
0.4.4.50: com.nvidia.cal.version 12.8.4.1: com.nvidia.cublas.version 0.4.0.789: com.nvidia.cublasmp.version 9.0: com.nvidia.cuda.version 9.8.0.87: com.nvidia.cudnn.version 11.3.3.83: com.nvidia.cufft.version 10.3.9.90: com.nvidia.curand.version 11.7.3.90: com.nvidia.cusolver.version 12.5.8.93: com.nvidia.cusparse.version 0.7.1.0: com.nvidia.cusparselt.version 2.25.1: com.nvidia.nccl.version 12.3.3.100: com.nvidia.npp.version 2025.1.1.2: com.nvidia.nsightcompute.version 2025.1.1.110: com.nvidia.nsightsystems.version 12.3.5.92: com.nvidia.nvjpeg.version 10.9.0.34: com.nvidia.tensorrt.version : com.nvidia.tensorrtoss.version nvidia_driver: com.nvidia.volumes.needed ubuntu: org.opencontainers.image.ref.name 24.04: org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/vllm-openai:v0.3.0
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/vllm-openai:v0.3.0  docker.io/lmcache/vllm-openai:v0.3.0

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/vllm-openai:v0.3.0
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/vllm-openai:v0.3.0  docker.io/lmcache/vllm-openai:v0.3.0

Shell快速替换命令

sed -i 's#lmcache/vllm-openai:v0.3.0#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/vllm-openai:v0.3.0#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/vllm-openai:v0.3.0 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/vllm-openai:v0.3.0  docker.io/lmcache/vllm-openai:v0.3.0'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/vllm-openai:v0.3.0 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/vllm-openai:v0.3.0  docker.io/lmcache/vllm-openai:v0.3.0'

镜像构建历史


# 2025-06-10 22:31:45  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/venv/bin/vllm" "serve"]
                        
# 2025-06-10 22:31:45  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2025-06-10 22:31:45  2.19GB 执行命令并创建新的镜像层
RUN |5 CUDA_VERSION=12.8.1.012 PYTHON_VERSION=3.12 UBUNTU_VERSION=24.04 torch_cuda_arch_list=7.0 7.5 8.0 8.6 8.9 9.0+PTX vllm_fa_cmake_gpu_arches=80-real;90-real /bin/sh -c . /opt/venv/bin/activate && uv pip install vllm &&     uv pip install lmcache --verbose # buildkit
                        
# 2025-06-10 22:27:01  0.00B 设置环境变量 VLLM_FA_CMAKE_GPU_ARCHES
ENV VLLM_FA_CMAKE_GPU_ARCHES=80-real;90-real
                        
# 2025-06-10 22:27:01  0.00B 定义构建参数
ARG vllm_fa_cmake_gpu_arches=80-real;90-real
                        
# 2025-06-10 22:27:01  0.00B 设置环境变量 TORCH_CUDA_ARCH_LIST
ENV TORCH_CUDA_ARCH_LIST=7.0 7.5 8.0 8.6 8.9 9.0+PTX
                        
# 2025-06-10 22:27:01  0.00B 定义构建参数
ARG torch_cuda_arch_list=7.0 7.5 8.0 8.6 8.9 9.0+PTX
                        
# 2025-06-10 22:27:01  2.79GB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.8 PYTHON_VERSION=3.12 UBUNTU_VERSION=24.04 /bin/sh -c . /opt/venv/bin/activate &&     uv pip install -r cuda.txt # buildkit
                        
# 2025-06-10 22:26:42  466.00B 复制新文件或目录到容器中
COPY ./requirements/cuda.txt cuda.txt # buildkit
                        
# 2025-06-10 22:26:42  305.00B 复制新文件或目录到容器中
COPY ./requirements/common.txt common.txt # buildkit
                        
# 2025-06-10 22:26:42  5.35GB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.8 PYTHON_VERSION=3.12 UBUNTU_VERSION=24.04 /bin/sh -c cd /workspace/nixl/ &&     . /opt/venv/bin/activate &&     uv build --wheel --out-dir /tmp/dist &&     uv pip install /tmp/dist/nixl-0.3.0-cp312-cp312-linux_x86_64.whl # buildkit
                        
# 2025-06-10 22:25:06  46.70KB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.8 PYTHON_VERSION=3.12 UBUNTU_VERSION=24.04 /bin/sh -c ldconfig # buildkit
                        
# 2025-06-10 22:25:06  82.00B 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.8 PYTHON_VERSION=3.12 UBUNTU_VERSION=24.04 /bin/sh -c echo "/usr/local/nixl/lib/x86_64-linux-gnu/plugins" >> /etc/ld.so.conf.d/nixl.conf # buildkit
                        
# 2025-06-10 22:25:06  37.00B 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.8 PYTHON_VERSION=3.12 UBUNTU_VERSION=24.04 /bin/sh -c echo "/usr/local/nixl/lib/x86_64-linux-gnu" > /etc/ld.so.conf.d/nixl.conf # buildkit
                        
# 2025-06-10 22:25:06  5.73GB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.8 PYTHON_VERSION=3.12 UBUNTU_VERSION=24.04 /bin/sh -c cd /workspace/nixl &&     . /opt/venv/bin/activate &&     rm -rf build &&     mkdir build &&     uv run meson setup build/ --prefix=/usr/local/nixl &&     cd build &&     ninja &&     ninja install # buildkit
                        
# 2025-06-10 22:22:32  4.05MB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.8 PYTHON_VERSION=3.12 UBUNTU_VERSION=24.04 /bin/sh -c . /opt/venv/bin/activate &&     uv pip install meson # buildkit
                        
# 2025-06-10 22:22:32  0.00B 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.8 PYTHON_VERSION=3.12 UBUNTU_VERSION=24.04 /bin/sh -c source /opt/venv/bin/activate # buildkit
                        
# 2025-06-10 22:22:31  0.00B 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.8 PYTHON_VERSION=3.12 UBUNTU_VERSION=24.04 /bin/sh -c cd /workspace/nixl # buildkit
                        
# 2025-06-10 22:22:31  16.30MB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.8 PYTHON_VERSION=3.12 UBUNTU_VERSION=24.04 /bin/sh -c git clone https://github.com/ai-dynamo/nixl # buildkit
                        
# 2025-06-10 22:22:30  0.00B 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.8 PYTHON_VERSION=3.12 UBUNTU_VERSION=24.04 /bin/sh -c cd /workspace # buildkit
                        
# 2025-06-10 22:22:30  0.00B 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.8 PYTHON_VERSION=3.12 UBUNTU_VERSION=24.04 /bin/sh -c export NIXL_PLUGIN_DIR=/usr/local/nixl/lib/x86_64-linux-gnu/plugins # buildkit
                        
# 2025-06-10 22:22:30  0.00B 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.8 PYTHON_VERSION=3.12 UBUNTU_VERSION=24.04 /bin/sh -c export LD_LIBRARY_PATH=/usr/local/cuda/compat/lib.real:$LD_LIBRARY_PATH # buildkit
                        
# 2025-06-10 22:22:30  59.04MB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.8 PYTHON_VERSION=3.12 UBUNTU_VERSION=24.04 /bin/sh -c apt-get update -y &&     apt-get -y install     ninja-build     pybind11-dev     python${PYTHON_VERSION}-dev     cmake # buildkit
                        
# 2025-06-10 22:22:23  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2025-06-10 22:22:23  263.02MB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.8 PYTHON_VERSION=3.12 UBUNTU_VERSION=24.04 /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 --no-install-recommends         ccache software-properties-common git curl sudo         python3 python3-dev python3-venv python3-pip tzdata     && ldconfig /usr/local/cuda-$(echo $CUDA_VERSION | cut -d. -f1,2)/compat/     && curl -LsSf https://astral.sh/uv/install.sh | sh     && mv ~/.local/bin/uv /usr/local/bin/     && mv ~/.local/bin/uvx /usr/local/bin/     && uv venv /opt/venv     && . /opt/venv/bin/activate     && python3 --version # buildkit
                        
# 2025-06-10 22:22:23  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2025-06-10 22:22:23  0.00B 定义构建参数
ARG UBUNTU_VERSION=24.04
                        
# 2025-06-10 22:22:23  0.00B 定义构建参数
ARG PYTHON_VERSION=3.12
                        
# 2025-06-10 22:22:23  0.00B 定义构建参数
ARG CUDA_VERSION=12.8
                        
# 2025-03-11 05:06:29  39.60KB 执行命令并创建新的镜像层
RUN /bin/sh -c if [ ! -f /etc/ld.so.conf.d/nvidia-tegra.conf ]; then            echo "/opt/amazon/aws-ofi-nccl/lib" > /etc/ld.so.conf.d/aws-ofi-nccl.conf       && ldconfig;                                                 fi # buildkit
                        
# 2025-03-11 05:06:29  934.89KB 复制新文件或目录到容器中
COPY /opt/amazon/aws-ofi-nccl /opt/amazon/aws-ofi-nccl # buildkit
                        
# 2025-03-11 05:06:29  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs:
                        
# 2025-03-11 05:06:18  983.47MB 执行命令并创建新的镜像层
RUN /bin/sh -c export DEVEL=1 BASE=0  && /nvidia/build-scripts/installNCU.sh  && /nvidia/build-scripts/installCUDA.sh  && /nvidia/build-scripts/installLIBS.sh  && if [ ! -f /etc/ld.so.conf.d/nvidia-tegra.conf ]; then /nvidia/build-scripts/installNCCL.sh; fi  && /nvidia/build-scripts/installCUDNN.sh  && /nvidia/build-scripts/installTRT.sh  && /nvidia/build-scripts/installNSYS.sh  && /nvidia/build-scripts/installCUSPARSELT.sh  && if [ -f "/tmp/cuda-${_CUDA_VERSION_MAJMIN}.patch" ]; then patch -p0 < /tmp/cuda-${_CUDA_VERSION_MAJMIN}.patch; fi  && rm -f /tmp/cuda-*.patch # buildkit
                        
# 2025-03-11 05:03:45  1.49KB 复制新文件或目录到容器中
COPY cuda-*.patch /tmp # buildkit
                        
# 2025-03-11 05:03:45  99.01MB 执行命令并创建新的镜像层
RUN /bin/sh -c export DEBIAN_FRONTEND=noninteractive  && apt-get update  && apt-get install -y --no-install-recommends         build-essential         git         libglib2.0-0         less         libhwloc15         libnl-route-3-200         libnl-3-dev         libnl-route-3-dev         libnuma-dev         libnuma1         libpmi2-0-dev         nano         numactl         openssh-client         vim         wget  && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-03-11 04:54:05  467.00B 执行命令并创建新的镜像层
RUN |39 JETPACK_HOST_MOUNTS= GDRCOPY_VERSION=2.4.1 HPCX_VERSION=2.22.1 RDMACORE_VERSION=50.0 MOFED_VERSION=5.4-rdmacore50.0 OPENUCX_VERSION=1.18.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=1.12.1 TARGETARCH=amd64 CUDA_VERSION=12.8.1.012 CUDA_DRIVER_VERSION=570.124.06 NCCL_VERSION=2.25.1 CUBLAS_VERSION=12.8.4.1 CUFFT_VERSION=11.3.3.83 CURAND_VERSION=10.3.9.90 CUSPARSE_VERSION=12.5.8.93 CUSOLVER_VERSION=11.7.3.90 NPP_VERSION=12.3.3.100 NVJPEG_VERSION=12.3.5.92 CUFILE_VERSION=1.13.1.3 NVJITLINK_VERSION=12.8.93 CUBLASMP_VERSION=0.4.0.789 CAL_VERSION=0.4.4.50 NVSHMEM_VERSION=3.2.5 CUDNN_VERSION=9.8.0.87 CUDNN_FRONTEND_VERSION=1.10.0 TRT_VERSION=10.9.0.34 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.1.1.110 NSIGHT_COMPUTE_VERSION=2025.1.1.2 CUSPARSELT_VERSION=0.7.1.0 DALI_VERSION=1.47.0 DALI_BUILD= DALI_URL_SUFFIX=120 POLYGRAPHY_VERSION=0.49.18 TRANSFORMER_ENGINE_VERSION=2.1 MODEL_OPT_VERSION=0.25.0 _LIBPATH_SUFFIX= /bin/sh -c mkdir -p /workspace && cp -f -p /opt/nvidia/entrypoint.d/30-container-license.txt /workspace/license.txt # buildkit
                        
# 2025-03-11 04:54:05  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2025-03-11 04:54:05  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2025-03-11 04:54:05  16.04KB 复制新文件或目录到容器中
COPY entrypoint/ /opt/nvidia/ # buildkit
                        
# 2025-03-11 04:54:05  0.00B 设置环境变量 PATH LD_LIBRARY_PATH NVIDIA_VISIBLE_DEVICES NVIDIA_DRIVER_CAPABILITIES
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/mpi/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/amazon/efa/bin LD_LIBRARY_PATH=/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility,video
                        
# 2025-03-11 04:54:05  0.00B 定义构建参数
ARG _LIBPATH_SUFFIX=
                        
# 2025-03-11 04:54:05  46.00B 执行命令并创建新的镜像层
RUN |38 JETPACK_HOST_MOUNTS= GDRCOPY_VERSION=2.4.1 HPCX_VERSION=2.22.1 RDMACORE_VERSION=50.0 MOFED_VERSION=5.4-rdmacore50.0 OPENUCX_VERSION=1.18.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=1.12.1 TARGETARCH=amd64 CUDA_VERSION=12.8.1.012 CUDA_DRIVER_VERSION=570.124.06 NCCL_VERSION=2.25.1 CUBLAS_VERSION=12.8.4.1 CUFFT_VERSION=11.3.3.83 CURAND_VERSION=10.3.9.90 CUSPARSE_VERSION=12.5.8.93 CUSOLVER_VERSION=11.7.3.90 NPP_VERSION=12.3.3.100 NVJPEG_VERSION=12.3.5.92 CUFILE_VERSION=1.13.1.3 NVJITLINK_VERSION=12.8.93 CUBLASMP_VERSION=0.4.0.789 CAL_VERSION=0.4.4.50 NVSHMEM_VERSION=3.2.5 CUDNN_VERSION=9.8.0.87 CUDNN_FRONTEND_VERSION=1.10.0 TRT_VERSION=10.9.0.34 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.1.1.110 NSIGHT_COMPUTE_VERSION=2025.1.1.2 CUSPARSELT_VERSION=0.7.1.0 DALI_VERSION=1.47.0 DALI_BUILD= DALI_URL_SUFFIX=120 POLYGRAPHY_VERSION=0.49.18 TRANSFORMER_ENGINE_VERSION=2.1 MODEL_OPT_VERSION=0.25.0 /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
                        
# 2025-03-11 04:54:05  13.39KB 复制文件或目录到容器中
ADD docs.tgz / # buildkit
                        
# 2025-03-11 04:54:04  0.00B 设置环境变量 DALI_VERSION DALI_BUILD DALI_URL_SUFFIX POLYGRAPHY_VERSION TRANSFORMER_ENGINE_VERSION MODEL_OPT_VERSION
ENV DALI_VERSION=1.47.0 DALI_BUILD= DALI_URL_SUFFIX=120 POLYGRAPHY_VERSION=0.49.18 TRANSFORMER_ENGINE_VERSION=2.1 MODEL_OPT_VERSION=0.25.0
                        
# 2025-03-11 04:54:04  0.00B 定义构建参数
ARG MODEL_OPT_VERSION=0.25.0
                        
# 2025-03-11 04:54:04  0.00B 定义构建参数
ARG TRANSFORMER_ENGINE_VERSION=2.1
                        
# 2025-03-11 04:54:04  0.00B 定义构建参数
ARG POLYGRAPHY_VERSION=0.49.18
                        
# 2025-03-11 04:54:04  0.00B 定义构建参数
ARG DALI_URL_SUFFIX=120
                        
# 2025-03-11 04:54:04  0.00B 定义构建参数
ARG DALI_BUILD=
                        
# 2025-03-11 04:54:04  0.00B 定义构建参数
ARG DALI_VERSION=1.47.0
                        
# 2025-03-11 04:54:04  0.00B 添加元数据标签
LABEL com.nvidia.nccl.version=2.25.1 com.nvidia.cublas.version=12.8.4.1 com.nvidia.cufft.version=11.3.3.83 com.nvidia.curand.version=10.3.9.90 com.nvidia.cusparse.version=12.5.8.93 com.nvidia.cusparselt.version=0.7.1.0 com.nvidia.cusolver.version=11.7.3.90 com.nvidia.npp.version=12.3.3.100 com.nvidia.nvjpeg.version=12.3.5.92 com.nvidia.cublasmp.version=0.4.0.789 com.nvidia.cal.version=0.4.4.50 com.nvidia.cudnn.version=9.8.0.87 com.nvidia.tensorrt.version=10.9.0.34 com.nvidia.tensorrtoss.version= com.nvidia.nsightsystems.version=2025.1.1.110 com.nvidia.nsightcompute.version=2025.1.1.2
                        
# 2025-03-11 04:54:04  7.17GB 执行命令并创建新的镜像层
RUN |32 JETPACK_HOST_MOUNTS= GDRCOPY_VERSION=2.4.1 HPCX_VERSION=2.22.1 RDMACORE_VERSION=50.0 MOFED_VERSION=5.4-rdmacore50.0 OPENUCX_VERSION=1.18.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=1.12.1 TARGETARCH=amd64 CUDA_VERSION=12.8.1.012 CUDA_DRIVER_VERSION=570.124.06 NCCL_VERSION=2.25.1 CUBLAS_VERSION=12.8.4.1 CUFFT_VERSION=11.3.3.83 CURAND_VERSION=10.3.9.90 CUSPARSE_VERSION=12.5.8.93 CUSOLVER_VERSION=11.7.3.90 NPP_VERSION=12.3.3.100 NVJPEG_VERSION=12.3.5.92 CUFILE_VERSION=1.13.1.3 NVJITLINK_VERSION=12.8.93 CUBLASMP_VERSION=0.4.0.789 CAL_VERSION=0.4.4.50 NVSHMEM_VERSION=3.2.5 CUDNN_VERSION=9.8.0.87 CUDNN_FRONTEND_VERSION=1.10.0 TRT_VERSION=10.9.0.34 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.1.1.110 NSIGHT_COMPUTE_VERSION=2025.1.1.2 CUSPARSELT_VERSION=0.7.1.0 /bin/sh -c /nvidia/build-scripts/installLIBS.sh  && /nvidia/build-scripts/installCUDNN.sh  && /nvidia/build-scripts/installTRT.sh  && /nvidia/build-scripts/installNSYS.sh  && /nvidia/build-scripts/installNCU.sh  && /nvidia/build-scripts/installCUSPARSELT.sh  && if [ -z "${JETPACK_HOST_MOUNTS}" ]; then       /nvidia/build-scripts/installNCCL.sh;     fi; # buildkit
                        
# 2025-03-11 04:53:07  0.00B 设置环境变量 NCCL_VERSION CUBLAS_VERSION CUFFT_VERSION CURAND_VERSION CUSPARSE_VERSION CUSPARSELT_VERSION CUSOLVER_VERSION NPP_VERSION NVJPEG_VERSION CUFILE_VERSION NVJITLINK_VERSION CUBLASMP_VERSION CAL_VERSION NVSHMEM_VERSION CUDNN_VERSION CUDNN_FRONTEND_VERSION TRT_VERSION TRTOSS_VERSION NSIGHT_SYSTEMS_VERSION NSIGHT_COMPUTE_VERSION
ENV NCCL_VERSION=2.25.1 CUBLAS_VERSION=12.8.4.1 CUFFT_VERSION=11.3.3.83 CURAND_VERSION=10.3.9.90 CUSPARSE_VERSION=12.5.8.93 CUSPARSELT_VERSION=0.7.1.0 CUSOLVER_VERSION=11.7.3.90 NPP_VERSION=12.3.3.100 NVJPEG_VERSION=12.3.5.92 CUFILE_VERSION=1.13.1.3 NVJITLINK_VERSION=12.8.93 CUBLASMP_VERSION=0.4.0.789 CAL_VERSION=0.4.4.50 NVSHMEM_VERSION=3.2.5 CUDNN_VERSION=9.8.0.87 CUDNN_FRONTEND_VERSION=1.10.0 TRT_VERSION=10.9.0.34 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.1.1.110 NSIGHT_COMPUTE_VERSION=2025.1.1.2
                        
# 2025-03-11 04:53:07  0.00B 定义构建参数
ARG CUSPARSELT_VERSION=0.7.1.0
                        
# 2025-03-11 04:53:07  0.00B 定义构建参数
ARG NSIGHT_COMPUTE_VERSION=2025.1.1.2
                        
# 2025-03-11 04:53:07  0.00B 定义构建参数
ARG NSIGHT_SYSTEMS_VERSION=2025.1.1.110
                        
# 2025-03-11 04:53:07  0.00B 定义构建参数
ARG TRTOSS_VERSION=
                        
# 2025-03-11 04:53:07  0.00B 定义构建参数
ARG TRT_VERSION=10.9.0.34
                        
# 2025-03-11 04:53:07  0.00B 定义构建参数
ARG CUDNN_FRONTEND_VERSION=1.10.0
                        
# 2025-03-11 04:53:07  0.00B 定义构建参数
ARG CUDNN_VERSION=9.8.0.87
                        
# 2025-03-11 04:53:07  0.00B 定义构建参数
ARG NVSHMEM_VERSION=3.2.5
                        
# 2025-03-11 04:53:07  0.00B 定义构建参数
ARG CAL_VERSION=0.4.4.50
                        
# 2025-03-11 04:53:07  0.00B 定义构建参数
ARG CUBLASMP_VERSION=0.4.0.789
                        
# 2025-03-11 04:53:07  0.00B 定义构建参数
ARG NVJITLINK_VERSION=12.8.93
                        
# 2025-03-11 04:53:07  0.00B 定义构建参数
ARG CUFILE_VERSION=1.13.1.3
                        
# 2025-03-11 04:53:07  0.00B 定义构建参数
ARG NVJPEG_VERSION=12.3.5.92
                        
# 2025-03-11 04:53:07  0.00B 定义构建参数
ARG NPP_VERSION=12.3.3.100
                        
# 2025-03-11 04:53:07  0.00B 定义构建参数
ARG CUSOLVER_VERSION=11.7.3.90
                        
# 2025-03-11 04:53:07  0.00B 定义构建参数
ARG CUSPARSE_VERSION=12.5.8.93
                        
# 2025-03-11 04:53:07  0.00B 定义构建参数
ARG CURAND_VERSION=10.3.9.90
                        
# 2025-03-11 04:53:07  0.00B 定义构建参数
ARG CUFFT_VERSION=11.3.3.83
                        
# 2025-03-11 04:53:07  0.00B 定义构建参数
ARG CUBLAS_VERSION=12.8.4.1
                        
# 2025-03-11 04:53:07  0.00B 定义构建参数
ARG NCCL_VERSION=2.25.1
                        
# 2025-03-11 04:53:07  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver com.nvidia.cuda.version=9.0
                        
# 2025-03-11 04:53:07  0.00B 设置环境变量 _CUDA_COMPAT_PATH ENV BASH_ENV SHELL NVIDIA_REQUIRE_CUDA
ENV _CUDA_COMPAT_PATH=/usr/local/cuda/compat ENV=/etc/shinit_v2 BASH_ENV=/etc/bash.bashrc SHELL=/bin/bash NVIDIA_REQUIRE_CUDA=cuda>=9.0
                        
# 2025-03-11 04:53:07  59.18KB 执行命令并创建新的镜像层
RUN |12 JETPACK_HOST_MOUNTS= GDRCOPY_VERSION=2.4.1 HPCX_VERSION=2.22.1 RDMACORE_VERSION=50.0 MOFED_VERSION=5.4-rdmacore50.0 OPENUCX_VERSION=1.18.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=1.12.1 TARGETARCH=amd64 CUDA_VERSION=12.8.1.012 CUDA_DRIVER_VERSION=570.124.06 /bin/sh -c cp -vprd /nvidia/. /  &&  patch -p0 < /etc/startup_scripts.patch  &&  rm -f /etc/startup_scripts.patch # buildkit
                        
# 2025-03-11 04:53:07  809.53MB 执行命令并创建新的镜像层
RUN |12 JETPACK_HOST_MOUNTS= GDRCOPY_VERSION=2.4.1 HPCX_VERSION=2.22.1 RDMACORE_VERSION=50.0 MOFED_VERSION=5.4-rdmacore50.0 OPENUCX_VERSION=1.18.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=1.12.1 TARGETARCH=amd64 CUDA_VERSION=12.8.1.012 CUDA_DRIVER_VERSION=570.124.06 /bin/sh -c /nvidia/build-scripts/installCUDA.sh # buildkit
                        
# 2025-03-08 03:56:30  0.00B 设置环境变量 CUDA_VERSION CUDA_DRIVER_VERSION CUDA_CACHE_DISABLE
ENV CUDA_VERSION=12.8.1.012 CUDA_DRIVER_VERSION=570.124.06 CUDA_CACHE_DISABLE=1
                        
# 2025-03-08 03:56:30  0.00B 定义构建参数
ARG CUDA_DRIVER_VERSION=570.124.06
                        
# 2025-03-08 03:56:30  0.00B 定义构建参数
ARG CUDA_VERSION=12.8.1.012
                        
# 2025-03-08 03:56:30  0.00B 设置环境变量 OMPI_MCA_coll_hcoll_enable
ENV OMPI_MCA_coll_hcoll_enable=0
                        
# 2025-03-08 03:56:30  0.00B 设置环境变量 OPAL_PREFIX PATH
ENV OPAL_PREFIX=/opt/hpcx/ompi PATH=/usr/local/mpi/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/amazon/efa/bin
                        
# 2025-03-08 03:56:30  229.92MB 执行命令并创建新的镜像层
RUN |10 JETPACK_HOST_MOUNTS= GDRCOPY_VERSION=2.4.1 HPCX_VERSION=2.22.1 RDMACORE_VERSION=50.0 MOFED_VERSION=5.4-rdmacore50.0 OPENUCX_VERSION=1.18.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=1.12.1 TARGETARCH=amd64 /bin/sh -c cd /nvidia  && ( export DEBIAN_FRONTEND=noninteractive        && apt-get update                            && apt-get install -y --no-install-recommends              libibverbs1                                  libibverbs-dev                               librdmacm1                                   librdmacm-dev                                libibumad3                                   libibumad-dev                                ibverbs-utils                                ibverbs-providers                     && rm -rf /var/lib/apt/lists/*               && rm $(dpkg-query -L                                    libibverbs-dev                               librdmacm-dev                                libibumad-dev                            | grep "\(\.so\|\.a\)$")          )                                            && ( cd opt/gdrcopy/                              && dpkg -i libgdrapi_*.deb                   )                                         && ( cp -r opt/hpcx /opt/                                         && cp etc/ld.so.conf.d/hpcx.conf /etc/ld.so.conf.d/          && ln -sf /opt/hpcx/ompi /usr/local/mpi                      && ln -sf /opt/hpcx/ucx  /usr/local/ucx                      && sed -i 's/^\(hwloc_base_binding_policy\) = core$/\1 = none/' /opt/hpcx/ompi/etc/openmpi-mca-params.conf         && sed -i 's/^\(btl = self\)$/#\1/'                             /opt/hpcx/ompi/etc/openmpi-mca-params.conf       )                                                         && ( if [ ! -f /etc/ld.so.conf.d/nvidia-tegra.conf ]; then           cd opt/amazon/efa/                                           && dpkg -i libfabric*.deb                                    && rm /opt/amazon/efa/lib/libfabric.a                        && echo "/opt/amazon/efa/lib" > /etc/ld.so.conf.d/efa.conf;         fi                                                         )                                                         && ldconfig # buildkit
                        
# 2025-03-08 03:56:22  0.00B 定义构建参数
ARG TARGETARCH=amd64
                        
# 2025-03-08 03:56:22  0.00B 设置环境变量 GDRCOPY_VERSION HPCX_VERSION MOFED_VERSION OPENUCX_VERSION OPENMPI_VERSION RDMACORE_VERSION EFA_VERSION AWS_OFI_NCCL_VERSION
ENV GDRCOPY_VERSION=2.4.1 HPCX_VERSION=2.22.1 MOFED_VERSION=5.4-rdmacore50.0 OPENUCX_VERSION=1.18.0 OPENMPI_VERSION=4.1.7 RDMACORE_VERSION=50.0 EFA_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=1.12.1
                        
# 2025-03-08 03:56:22  0.00B 定义构建参数
ARG AWS_OFI_NCCL_VERSION=1.12.1
                        
# 2025-03-08 03:56:22  0.00B 定义构建参数
ARG EFA_VERSION=1.34.0
                        
# 2025-03-08 03:56:22  0.00B 定义构建参数
ARG OPENMPI_VERSION=4.1.7
                        
# 2025-03-08 03:56:22  0.00B 定义构建参数
ARG OPENUCX_VERSION=1.18.0
                        
# 2025-03-08 03:56:22  0.00B 定义构建参数
ARG MOFED_VERSION=5.4-rdmacore50.0
                        
# 2025-03-08 03:56:22  0.00B 定义构建参数
ARG RDMACORE_VERSION=50.0
                        
# 2025-03-08 03:56:22  0.00B 定义构建参数
ARG HPCX_VERSION=2.22.1
                        
# 2025-03-08 03:56:22  0.00B 定义构建参数
ARG GDRCOPY_VERSION=2.4.1
                        
# 2025-03-08 03:56:22  340.75MB 执行命令并创建新的镜像层
RUN |1 JETPACK_HOST_MOUNTS= /bin/sh -c export DEBIAN_FRONTEND=noninteractive  && apt-get update  && apt-get install -y --no-install-recommends         apt-utils         build-essential         ca-certificates         curl         libncurses6         libncursesw6         patch         wget         unzip         jq         gnupg         libtcmalloc-minimal4  && rm -rf /var/lib/apt/lists/*  && echo "hsts=0" > /root/.wgetrc # buildkit
                        
# 2025-03-08 03:56:02  0.00B 执行命令并创建新的镜像层
RUN |1 JETPACK_HOST_MOUNTS= /bin/sh -c if [ -n "${JETPACK_HOST_MOUNTS}" ]; then        echo "/usr/lib/aarch64-linux-gnu/tegra" > /etc/ld.so.conf.d/nvidia-tegra.conf     && echo "/usr/lib/aarch64-linux-gnu/tegra-egl" >> /etc/ld.so.conf.d/nvidia-tegra.conf;     fi # buildkit
                        
# 2025-03-08 03:56:02  0.00B 设置环境变量 NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS
ENV NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS=
                        
# 2025-03-08 03:56:02  0.00B 定义构建参数
ARG JETPACK_HOST_MOUNTS=
                        
# 2025-01-27 12:14:03  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-01-27 12:14:03  78.13MB 
/bin/sh -c #(nop) ADD file:6df775300d76441aa33f31b22c1afce8dfe35c8ffbc14ef27c27009235b12a95 in / 
                        
# 2025-01-27 12:14:00  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2025-01-27 12:14:00  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-01-27 12:14:00  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-01-27 12:14:00  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-06-10T14:31:45.721757302Z",
    "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/mpi/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/amazon/efa/bin",
            "NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS=",
            "GDRCOPY_VERSION=2.4.1",
            "HPCX_VERSION=2.22.1",
            "MOFED_VERSION=5.4-rdmacore50.0",
            "OPENUCX_VERSION=1.18.0",
            "OPENMPI_VERSION=4.1.7",
            "RDMACORE_VERSION=50.0",
            "EFA_VERSION=1.34.0",
            "AWS_OFI_NCCL_VERSION=1.12.1",
            "OPAL_PREFIX=/opt/hpcx/ompi",
            "OMPI_MCA_coll_hcoll_enable=0",
            "CUDA_VERSION=12.8.1.012",
            "CUDA_DRIVER_VERSION=570.124.06",
            "CUDA_CACHE_DISABLE=1",
            "_CUDA_COMPAT_PATH=/usr/local/cuda/compat",
            "ENV=/etc/shinit_v2",
            "BASH_ENV=/etc/bash.bashrc",
            "SHELL=/bin/bash",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=9.0",
            "NCCL_VERSION=2.25.1",
            "CUBLAS_VERSION=12.8.4.1",
            "CUFFT_VERSION=11.3.3.83",
            "CURAND_VERSION=10.3.9.90",
            "CUSPARSE_VERSION=12.5.8.93",
            "CUSPARSELT_VERSION=0.7.1.0",
            "CUSOLVER_VERSION=11.7.3.90",
            "NPP_VERSION=12.3.3.100",
            "NVJPEG_VERSION=12.3.5.92",
            "CUFILE_VERSION=1.13.1.3",
            "NVJITLINK_VERSION=12.8.93",
            "CUBLASMP_VERSION=0.4.0.789",
            "CAL_VERSION=0.4.4.50",
            "NVSHMEM_VERSION=3.2.5",
            "CUDNN_VERSION=9.8.0.87",
            "CUDNN_FRONTEND_VERSION=1.10.0",
            "TRT_VERSION=10.9.0.34",
            "TRTOSS_VERSION=",
            "NSIGHT_SYSTEMS_VERSION=2025.1.1.110",
            "NSIGHT_COMPUTE_VERSION=2025.1.1.2",
            "DALI_VERSION=1.47.0",
            "DALI_BUILD=",
            "DALI_URL_SUFFIX=120",
            "POLYGRAPHY_VERSION=0.49.18",
            "TRANSFORMER_ENGINE_VERSION=2.1",
            "MODEL_OPT_VERSION=0.25.0",
            "LD_LIBRARY_PATH=/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility,video",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs:",
            "DEBIAN_FRONTEND=noninteractive",
            "TORCH_CUDA_ARCH_LIST=7.0 7.5 8.0 8.6 8.9 9.0+PTX",
            "VLLM_FA_CMAKE_GPU_ARCHES=80-real;90-real"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/workspace",
        "Entrypoint": [
            "/opt/venv/bin/vllm",
            "serve"
        ],
        "OnBuild": null,
        "Labels": {
            "com.nvidia.cal.version": "0.4.4.50",
            "com.nvidia.cublas.version": "12.8.4.1",
            "com.nvidia.cublasmp.version": "0.4.0.789",
            "com.nvidia.cuda.version": "9.0",
            "com.nvidia.cudnn.version": "9.8.0.87",
            "com.nvidia.cufft.version": "11.3.3.83",
            "com.nvidia.curand.version": "10.3.9.90",
            "com.nvidia.cusolver.version": "11.7.3.90",
            "com.nvidia.cusparse.version": "12.5.8.93",
            "com.nvidia.cusparselt.version": "0.7.1.0",
            "com.nvidia.nccl.version": "2.25.1",
            "com.nvidia.npp.version": "12.3.3.100",
            "com.nvidia.nsightcompute.version": "2025.1.1.2",
            "com.nvidia.nsightsystems.version": "2025.1.1.110",
            "com.nvidia.nvjpeg.version": "12.3.5.92",
            "com.nvidia.tensorrt.version": "10.9.0.34",
            "com.nvidia.tensorrtoss.version": "",
            "com.nvidia.volumes.needed": "nvidia_driver",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "24.04"
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    "Architecture": "amd64",
    "Os": "linux",
    "Size": 26102201537,
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}

更多版本

docker.io/lmcache/vllm-openai:v0.3.0

linux/amd64 docker.io26.10GB2025-06-12 02:38
10