广告图片

docker.io/lmcache/standalone:v0.4.2 linux/amd64

docker.io/lmcache/standalone:v0.4.2 - 国内下载镜像源 浏览次数:7

lmcache/standalone镜像是LMCache大语言模型缓存系统的独立运行版本,用于为大语言模型推理提供高效缓存服务,通过缓存重复的LLM请求结果减少计算开销,提升响应速度与系统吞吐量,适用于需要快速处理大语言模型请求的场景。

源镜像 docker.io/lmcache/standalone:v0.4.2
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/standalone:v0.4.2
镜像ID sha256:67e6e76ab2cd05aee6e09732e0825dbaec400ef6068a0de52a83679a6fde5b42
镜像TAG v0.4.2
大小 18.30GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD /bin/bash
启动入口 /opt/nvidia/nvidia_entrypoint.sh
工作目录 /workspace
OS/平台 linux/amd64
浏览量 7 次
贡献者
镜像创建 2026-03-18T23:17:44.829540715Z
同步时间 2026-05-12 01:38
环境变量
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>=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
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/standalone:v0.4.2
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/standalone:v0.4.2  docker.io/lmcache/standalone:v0.4.2

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/standalone:v0.4.2
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/standalone:v0.4.2  docker.io/lmcache/standalone:v0.4.2

Shell快速替换命令

sed -i 's#lmcache/standalone:v0.4.2#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/standalone:v0.4.2#' 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/standalone:v0.4.2 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/standalone:v0.4.2  docker.io/lmcache/standalone:v0.4.2'

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/standalone:v0.4.2 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/standalone:v0.4.2  docker.io/lmcache/standalone:v0.4.2'

镜像构建历史


# 2026-03-19 07:17:44  0.00B 设置默认要执行的命令
CMD ["/bin/bash"]
                        
# 2026-03-19 07:17:44  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2026-03-19 07:17:44  33.39MB 执行命令并创建新的镜像层
RUN |4 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 /bin/sh -c . /opt/venv/bin/activate &&     uv pip install /tmp/*.whl --verbose &&     rm -rf /tmp/*.whl # buildkit
                        
# 2026-03-19 07:17:44  8.60MB 复制新文件或目录到容器中
COPY /workspace/LMCache/dist_lmcache/*.whl /tmp/ # buildkit
                        
# 2026-03-19 07:10:57  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
                        
# 2026-03-19 07:10:57  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
                        
# 2026-03-19 07:10:57  8.30GB 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
                        
# 2026-03-19 07:09:53  403.00B 复制新文件或目录到容器中
COPY ./requirements/cuda.txt cuda.txt # buildkit
                        
# 2026-03-19 07:09:53  1.26KB 复制新文件或目录到容器中
COPY ./requirements/common.txt common.txt # buildkit
                        
# 2026-03-19 07:09:53  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2026-03-19 07:09:53  254.95MB 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 tzdata     && rm -rf /var/lib/apt/lists/*     && 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
                        
# 2026-03-19 07:09:53  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
                        
# 2026-03-19 07:09:53  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2026-03-19 07:09:53  0.00B 定义构建参数
ARG UBUNTU_VERSION=24.04
                        
# 2026-03-19 07:09:53  0.00B 定义构建参数
ARG PYTHON_VERSION=3.12
                        
# 2026-03-19 07:09:53  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

{
    "Id": "sha256:67e6e76ab2cd05aee6e09732e0825dbaec400ef6068a0de52a83679a6fde5b42",
    "RepoTags": [
        "lmcache/standalone:v0.4.2",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/standalone:v0.4.2"
    ],
    "RepoDigests": [
        "lmcache/standalone@sha256:e0af59dbecc68d6a21fdf2632329f2a040ebdc72e768405e670ef9b1eeb514bf",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/standalone@sha256:7e4905f5a2e9ec3f185e34a3dd1ce829dcf466726906eeeabdb75745ad9637d5"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-03-18T23:17:44.829540715Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "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"
        ],
        "Cmd": [
            "/bin/bash"
        ],
        "ArgsEscaped": true,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/workspace",
        "Entrypoint": [
            "/opt/nvidia/nvidia_entrypoint.sh"
        ],
        "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"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 18304212695,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/e37146852216cf4f99b5f1bb130ba0eef37ea8f90fb66cf420ed768620d93161/diff:/var/lib/docker/overlay2/bfabc9a20f0135a4a8edd83da1cf5dab52c98d097db2168cfbcbd1ecf5df84e8/diff:/var/lib/docker/overlay2/8ae25599624fc7c238bbc3b59678328d725d34274e949997dd0615b6d3752c1b/diff:/var/lib/docker/overlay2/607cf5e2af3762b7019c2fdfd6591dd7558c18287b83867527c106c515bdb29c/diff:/var/lib/docker/overlay2/4198316af3b0a1a9a5eee86a2f04a06b960d6b02b04aa55f7eb923b989fe9944/diff:/var/lib/docker/overlay2/d37e2f61da7cbf5f95b10bd80a3f1ea703e7bfafbb265cc0fc0a52d0504d3d02/diff:/var/lib/docker/overlay2/024d27ab994fe511e292d03205eb21d01a8653356631a1c09554cfaaec9d30a0/diff:/var/lib/docker/overlay2/fb22b780ce51a24827d0aaada877df46c6fa3c6ead831d498ad48d6009fcb4d0/diff:/var/lib/docker/overlay2/2fd926e927055ab70452e0263af9f0f33ea68a24e4d3a18e8b8eb314e1bba311/diff:/var/lib/docker/overlay2/8ba62cb877ddfe0729e39ca448834f764c3e060c48e80808977f607fc19597ac/diff:/var/lib/docker/overlay2/b5c5cf8f1450b5d991e1d0f89f319e580072affeffce21079808af6cdf2df8ca/diff:/var/lib/docker/overlay2/be987b6e8fc38908a2fbcbfa40d1e2c8930cf2297d1fe22355bcee7b5c519550/diff:/var/lib/docker/overlay2/f2f047a931b56df76675ee51616c9c8346d7105fa53854f154a081cae853ac20/diff:/var/lib/docker/overlay2/fcb4ea121020b9c4cd6b0588a13f6d0c8766f93a16a63a4671195bbc9121c74d/diff:/var/lib/docker/overlay2/53014d2ec0c4f1306fd95fce9a4e7b1d95b1ad8247613df07a97b4fffa9a4b9c/diff:/var/lib/docker/overlay2/6982172c4d33691badea1e764606c6113e39dffe882b4d30064584876cff85b8/diff:/var/lib/docker/overlay2/2b1957950a75ae2f16f0d722819667c9f7526a17ed2b4a1b20440019355751ae/diff:/var/lib/docker/overlay2/1172cb51e60e78808e6b4b66d273da633725787d6988a365d0ec4a66556c5b17/diff:/var/lib/docker/overlay2/44daa1cdaad0ed74f15512f90c63a236e32a1d4fd092c56aa61f3c969f2a419d/diff:/var/lib/docker/overlay2/e0aaf8b2dbfe74632325ce1192bdcb027b361eba6b0a18b8cc215b4d0aa50e05/diff:/var/lib/docker/overlay2/73a3f0eb713e409757c1bce6068df1996f2e3dfd9761b49d820a0fd1747c9e6a/diff:/var/lib/docker/overlay2/e24b5aef4b40df06853053b9b5503ec62e5b3f5068c7ce752fcf6ee5b07a03b7/diff:/var/lib/docker/overlay2/d5ba5778451cb9d6cd53a762324cbf17a65345e17306b42b60d69ba8f9186927/diff",
            "MergedDir": "/var/lib/docker/overlay2/7841a3c82f38e4eef9334d455a85e40e87f3cf4dc4c8d0ec804fd3045b76ea22/merged",
            "UpperDir": "/var/lib/docker/overlay2/7841a3c82f38e4eef9334d455a85e40e87f3cf4dc4c8d0ec804fd3045b76ea22/diff",
            "WorkDir": "/var/lib/docker/overlay2/7841a3c82f38e4eef9334d455a85e40e87f3cf4dc4c8d0ec804fd3045b76ea22/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:4b7c01ed0534d4f9be9cf97d068da1598c6c20b26cb6134fad066defdb6d541d",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:dd2fc1287b9cd04d69da44c57427669c4726406fd3e47d17732ba14ef98abc23",
            "sha256:41998022a4884015955a975f9e8475f1009be0373cd97da6cdaf8ea9679fed52",
            "sha256:776daa5430ec801fdb2ef2bb532d79768c4a4fb07ef2966f0f62cf374fb99659",
            "sha256:4c20946579b2a2ff121feddf8f99883bcc076decffaf8bce0b5f2a2cfe19004e",
            "sha256:9a9ae6b40127f64ee9673a11c9dcae785580c36ee6336836139b0e58b7bb89ec",
            "sha256:e13ff1e0c3d4696452ce57efb82e8084481bc71ec5fabb31570c3b34279c7173",
            "sha256:0531efbe7556461beda18906536cb1693b29fb8dcaf8bbce30ecfa2830711d82",
            "sha256:602a257195dc2e75336cca070cb6da706d7a700213c54452c2f7c3b2f194d662",
            "sha256:85cd99cc984a1e9ce1c4dd9ff478fc229ff78f501315fc840d46b215dc8dac9c",
            "sha256:cb8dab9e0d6a439e6b64da3aee7f1a0e461923cecf39a90459f1fa5907888e83",
            "sha256:2f553261fe6a36c9ecbebb82b4be68b804e86da2d72c6e82da41fd247a764bbd",
            "sha256:019700a2270e1d1bd6a8550db4736a5618edd98f4cb44abf9dcd4780761a276f",
            "sha256:475b06c642329c182a459127aa6b9c345aa380f586a211ca4887801e133f9fab",
            "sha256:598f76036e24d9da4e30361843691b120b0addf15ffac18655c0caff380daca4",
            "sha256:863cd2ab828019e67c1c04f963720cec8d91ee130866aab798903a0a61f5d644",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:ddce49cb2dc8ef1bbac62d3a2559d1251bfc135adcd7390473a1c01648160666",
            "sha256:9aad991c872f3816da1ef75871dd144d02a98c882367893975040a5cf6509a10",
            "sha256:3ee18f784b52f09b47f9c392fa4eab5790b83d93b2b57a70644a4a1d5aad1ca6",
            "sha256:754485d7b351ccac259d11442f0e4425cc0cfd8a91bb134fd4635ed0b1ded3c3",
            "sha256:b2ff8448efb395cb83194b649155a575667a9e676d54ee876f8486226a11aec6",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef"
        ]
    },
    "Metadata": {
        "LastTagTime": "2026-05-12T01:25:20.675219241+08:00"
    }
}

更多版本

docker.io/lmcache/standalone:v0.4.2

linux/amd64 docker.io18.30GB2026-05-12 01:38
6