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docker.io/lmcache/vllm-openai:nightly-2026-03-12
linux/amd64 docker.io

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。

309
浏览次数
20.71GB
镜像大小
源镜像
docker.io/lmcache/vllm-openai:nightly-2026-03-12
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/vllm-openai:nightly-2026-03-12
镜像ID
sha256:beb3d9ebbfe216848a305f09ad5e49cd0824b78b7a97c4e80ae2fff56c16fa57
镜像 TAG
nightly-2026-03-12
镜像大小
20.71GB
平台架构
linux/amd64
镜像源
docker.io
CMD
启动入口
/opt/venv/bin/vllm serve
工作目录
/workspace
OS/平台
linux/amd64
镜像创建
2026-03-12T07:56:43.349504805Z
同步时间
2026-03-13 01:24
浏览量
309 次
贡献者
⚙️ 环境变量 55
KeyValue
PATH=/opt/venv/bin:/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 0
NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS= 1
GDRCOPY_VERSION=2.4.1 2
HPCX_VERSION=2.22.1 3
MOFED_VERSION=5.4-rdmacore50.0 4
OPENUCX_VERSION=1.18.0 5
OPENMPI_VERSION=4.1.7 6
RDMACORE_VERSION=50.0 7
EFA_VERSION=1.34.0 8
AWS_OFI_NCCL_VERSION=1.12.1 9
OPAL_PREFIX=/opt/hpcx/ompi 10
OMPI_MCA_coll_hcoll_enable=0 11
CUDA_VERSION=12.8.1.012 12
CUDA_DRIVER_VERSION=570.124.06 13
CUDA_CACHE_DISABLE=1 14
_CUDA_COMPAT_PATH=/usr/local/cuda/compat 15
ENV=/etc/shinit_v2 16
BASH_ENV=/etc/bash.bashrc 17
SHELL=/bin/bash 18
NVIDIA_REQUIRE_CUDA=cuda>=9.0 19
NCCL_VERSION=2.25.1 20
CUBLAS_VERSION=12.8.4.1 21
CUFFT_VERSION=11.3.3.83 22
CURAND_VERSION=10.3.9.90 23
CUSPARSE_VERSION=12.5.8.93 24
CUSPARSELT_VERSION=0.7.1.0 25
CUSOLVER_VERSION=11.7.3.90 26
NPP_VERSION=12.3.3.100 27
NVJPEG_VERSION=12.3.5.92 28
CUFILE_VERSION=1.13.1.3 29
NVJITLINK_VERSION=12.8.93 30
CUBLASMP_VERSION=0.4.0.789 31
CAL_VERSION=0.4.4.50 32
NVSHMEM_VERSION=3.2.5 33
CUDNN_VERSION=9.8.0.87 34
CUDNN_FRONTEND_VERSION=1.10.0 35
TRT_VERSION=10.9.0.34 36
TRTOSS_VERSION= 37
NSIGHT_SYSTEMS_VERSION=2025.1.1.110 38
NSIGHT_COMPUTE_VERSION=2025.1.1.2 39
DALI_VERSION=1.47.0 40
DALI_BUILD= 41
DALI_URL_SUFFIX=120 42
POLYGRAPHY_VERSION=0.49.18 43
TRANSFORMER_ENGINE_VERSION=2.1 44
MODEL_OPT_VERSION=0.25.0 45
LD_LIBRARY_PATH=/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 46
NVIDIA_VISIBLE_DEVICES=all 47
NVIDIA_DRIVER_CAPABILITIES=compute,utility,video 48
NVIDIA_PRODUCT_NAME=CUDA 49
LIBRARY_PATH=/usr/local/cuda/lib64/stubs: 50
DEBIAN_FRONTEND=noninteractive 51
TORCH_CUDA_ARCH_LIST=7.0 7.5 8.0 8.6 8.9 9.0 10.0+PTX 52
MAX_JOBS=2 53
NVCC_THREADS=8 54
🏷️ 镜像标签 20
KeyValue
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:nightly-2026-03-12
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/vllm-openai:nightly-2026-03-12  docker.io/lmcache/vllm-openai:nightly-2026-03-12

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/vllm-openai:nightly-2026-03-12
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/vllm-openai:nightly-2026-03-12  docker.io/lmcache/vllm-openai:nightly-2026-03-12

Shell快速替换命令

sed -i 's#lmcache/vllm-openai:nightly-2026-03-12#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/vllm-openai:nightly-2026-03-12#' 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:nightly-2026-03-12 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/vllm-openai:nightly-2026-03-12  docker.io/lmcache/vllm-openai:nightly-2026-03-12'

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:nightly-2026-03-12 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/vllm-openai:nightly-2026-03-12  docker.io/lmcache/vllm-openai:nightly-2026-03-12'

镜像构建历史


# 2026-03-12 15:56:43  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/venv/bin/vllm" "serve"]
                        
# 2026-03-12 15:56:43  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2026-03-12 15:56:43  2.27GB 执行命令并创建新的镜像层
RUN |8 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 10.0+PTX max_jobs=2 nvcc_threads=8 VLLM_VERSION=nightly LMCACHE_COMMIT_ID=1 /bin/sh -c . /opt/venv/bin/activate &&     if [ "$VLLM_VERSION" = "nightly" ]; then         uv pip install --prerelease=allow             'vllm[runai,tensorizer,flashinfer]'             'triton-kernels @ git+https://github.com/triton-lang/triton.git@v3.5.0#subdirectory=python/triton_kernels'             --extra-index-url https://wheels.vllm.ai/nightly             --index-strategy unsafe-best-match ;     else         uv pip install --prerelease=allow             "vllm[runai,tensorizer,flashinfer]==${VLLM_VERSION}"             'triton-kernels @ git+https://github.com/triton-lang/triton.git@v3.5.0#subdirectory=python/triton_kernels' ;     fi &&     python3 -c 'import torch; print("TORCH=", torch.__version__)' &&     python3 setup.py bdist_wheel --dist-dir=dist_lmcache &&     uv pip install ./dist_lmcache/*.whl --verbose # buildkit
                        
# 2026-03-12 15:49:03  0.00B 设置工作目录为/workspace/LMCache
WORKDIR /workspace/LMCache
                        
# 2026-03-12 15:49:03  37.79MB 复制新文件或目录到容器中
COPY . /workspace/LMCache # buildkit
                        
# 2026-03-12 15:49:02  0.00B 定义构建参数
ARG LMCACHE_COMMIT_ID=1
                        
# 2026-03-12 15:49:02  800.23KB 执行命令并创建新的镜像层
RUN |7 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 10.0+PTX max_jobs=2 nvcc_threads=8 VLLM_VERSION=nightly /bin/sh -c . /opt/venv/bin/activate &&     uv pip install -r build.txt # buildkit
                        
# 2026-03-12 15:49:02  0.00B 定义构建参数
ARG VLLM_VERSION=nightly
                        
# 2026-03-12 15:49:02  0.00B 设置环境变量 NVCC_THREADS
ENV NVCC_THREADS=8
                        
# 2026-03-12 15:49:02  0.00B 定义构建参数
ARG nvcc_threads=8
                        
# 2026-03-12 15:49:02  0.00B 设置环境变量 MAX_JOBS
ENV MAX_JOBS=2
                        
# 2026-03-12 15:49:02  0.00B 定义构建参数
ARG max_jobs=2
                        
# 2026-03-12 15:49:02  356.00B 复制新文件或目录到容器中
COPY ./requirements/build.txt build.txt # buildkit
                        
# 2026-03-12 15:49:02  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 10.0+PTX
                        
# 2026-03-12 15:49:02  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 10.0+PTX
                        
# 2026-03-12 15:49:02  8.36GB 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
                        
# 2026-03-12 15:48:25  403.00B 复制新文件或目录到容器中
COPY ./requirements/cuda.txt cuda.txt # buildkit
                        
# 2026-03-12 15:48:25  1.26KB 复制新文件或目录到容器中
COPY ./requirements/common.txt common.txt # buildkit
                        
# 2026-03-12 15:48:25  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2026-03-12 15:48:25  334.73MB 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 libxcb1-dev     && 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
                        
# 2026-03-12 15:48:25  0.00B 设置环境变量 PATH
ENV PATH=/opt/venv/bin:/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
                        
# 2026-03-12 15:48:25  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2026-03-12 15:48:25  0.00B 定义构建参数
ARG UBUNTU_VERSION=24.04
                        
# 2026-03-12 15:48:25  0.00B 定义构建参数
ARG PYTHON_VERSION=3.12
                        
# 2026-03-12 15:48:25  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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    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-03-12T07:56:43.349504805Z",
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    "DockerVersion": "",
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    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/opt/venv/bin:/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 10.0+PTX",
            "MAX_JOBS=2",
            "NVCC_THREADS=8"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/workspace",
        "Entrypoint": [
            "/opt/venv/bin/vllm",
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        ],
        "OnBuild": null,
        "Labels": {
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            "com.nvidia.cublas.version": "12.8.4.1",
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            "com.nvidia.cuda.version": "9.0",
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            "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",
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    "Architecture": "amd64",
    "Os": "linux",
    "Size": 20708811239,
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}

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