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docker.io/lmcache/standalone:v0.4.6-cu129
linux/amd64 docker.io

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。

68
浏览次数
19.65GB
镜像大小
源镜像
docker.io/lmcache/standalone:v0.4.6-cu129
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/standalone:v0.4.6-cu129
镜像ID
sha256:d1503f1d1b1e8d072a50d1bfe6f846064c73a56dcaab9b8a84a68964a524989e
镜像 TAG
v0.4.6-cu129
镜像大小
19.65GB
平台架构
linux/amd64
镜像源
docker.io
CMD
/bin/bash
启动入口
/opt/nvidia/nvidia_entrypoint.sh
工作目录
/workspace
OS/平台
linux/amd64
镜像创建
2026-05-30T00:36:36.550507837Z
同步时间
2026-06-03 03:09
浏览量
68 次
贡献者
⚙️ 环境变量 53
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=2.4.4 2
HPCX_VERSION=2.23 3
MOFED_VERSION=5.4-rdmacore50.0 4
OPENUCX_VERSION=1.19.0 5
OPENMPI_VERSION=4.1.7 6
RDMACORE_VERSION=50.0 7
EFA_VERSION=1.38.1 8
AWS_OFI_NCCL_VERSION=1.14.0 9
OPAL_PREFIX=/opt/hpcx/ompi 10
OMPI_MCA_coll_hcoll_enable=0 11
CUDA_VERSION=12.9.0.043 12
CUDA_DRIVER_VERSION=575.51.03 13
_CUDA_COMPAT_PATH=/usr/local/cuda/compat 14
ENV=/etc/shinit_v2 15
BASH_ENV=/etc/bash.bashrc 16
SHELL=/bin/bash 17
NVIDIA_REQUIRE_CUDA=cuda>=9.0 18
NCCL_VERSION=2.26.5 19
CUBLAS_VERSION=12.9.0.13 20
CUFFT_VERSION=11.4.0.6 21
CURAND_VERSION=10.3.10.19 22
CUSPARSE_VERSION=12.5.9.5 23
CUSPARSELT_VERSION=0.7.1.0 24
CUSOLVER_VERSION=11.7.4.40 25
NPP_VERSION=12.4.0.27 26
NVJPEG_VERSION=12.4.0.16 27
CUFILE_VERSION=1.14.0.30 28
NVJITLINK_VERSION=12.9.41 29
CUBLASMP_VERSION=0.4.0.789 30
CAL_VERSION=0.4.4.50 31
NVSHMEM_VERSION=3.2.5 32
CUDNN_VERSION=9.10.1.4 33
CUDNN_FRONTEND_VERSION=1.11.0 34
TRT_VERSION=10.10.0.31 35
TRTOSS_VERSION= 36
NSIGHT_SYSTEMS_VERSION=2025.3.1.90 37
NSIGHT_COMPUTE_VERSION=2025.2.0.11 38
DALI_VERSION=1.49.0 39
DALI_BUILD= 40
DALI_URL_SUFFIX=120 41
POLYGRAPHY_VERSION=0.49.20 42
TRANSFORMER_ENGINE_VERSION=2.3 43
MODEL_OPT_VERSION=0.27.1 44
CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0 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=7.5 8.0 8.6 8.9 9.0 10.0 12.0+PTX 52
🏷️ 镜像标签 20
KeyValue
0.4.4.50 com.nvidia.cal.version
12.9.0.13 com.nvidia.cublas.version
0.4.0.789 com.nvidia.cublasmp.version
9.0 com.nvidia.cuda.version
9.10.1.4 com.nvidia.cudnn.version
11.4.0.6 com.nvidia.cufft.version
10.3.10.19 com.nvidia.curand.version
11.7.4.40 com.nvidia.cusolver.version
12.5.9.5 com.nvidia.cusparse.version
0.7.1.0 com.nvidia.cusparselt.version
2.26.5 com.nvidia.nccl.version
12.4.0.27 com.nvidia.npp.version
2025.2.0.11 com.nvidia.nsightcompute.version
2025.3.1.90 com.nvidia.nsightsystems.version
12.4.0.16 com.nvidia.nvjpeg.version
10.10.0.31 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:v0.4.6-cu129
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/standalone:v0.4.6-cu129  docker.io/lmcache/standalone:v0.4.6-cu129

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/standalone:v0.4.6-cu129
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/standalone:v0.4.6-cu129  docker.io/lmcache/standalone:v0.4.6-cu129

Shell快速替换命令

sed -i 's#lmcache/standalone:v0.4.6-cu129#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/standalone:v0.4.6-cu129#' 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:v0.4.6-cu129 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/standalone:v0.4.6-cu129  docker.io/lmcache/standalone:v0.4.6-cu129'

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:v0.4.6-cu129 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmcache/standalone:v0.4.6-cu129  docker.io/lmcache/standalone:v0.4.6-cu129'

镜像构建历史


# 2026-05-30 08:36:36  0.00B 设置默认要执行的命令
CMD ["/bin/bash"]
                        
# 2026-05-30 08:36:36  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2026-05-30 08:36:36  8.59GB 执行命令并创建新的镜像层
RUN |4 CUDA_VERSION=12.9 PYTHON_VERSION=3.12 UBUNTU_VERSION=24.04 torch_cuda_arch_list=7.5 8.0 8.6 8.9 9.0 10.0 12.0+PTX /bin/sh -c . /opt/venv/bin/activate &&     CUDA_TAG=cu$(echo ${CUDA_VERSION} | tr -d '.') &&     uv pip install -r /torch.pin         --index-url https://download.pytorch.org/whl/${CUDA_TAG} &&     uv pip install /tmp/*.whl --verbose &&     rm -rf /tmp/*.whl /torch.pin # buildkit
                        
# 2026-05-30 08:35:47  20.00B 复制新文件或目录到容器中
COPY /torch.pin /torch.pin # buildkit
                        
# 2026-05-30 08:35:47  12.85MB 复制新文件或目录到容器中
COPY /workspace/LMCache/dist_lmcache/*.whl /tmp/ # buildkit
                        
# 2026-05-30 08:19:07  0.00B 定义构建参数
ARG CUDA_VERSION=12.9
                        
# 2026-05-30 08:19:07  0.00B 设置环境变量 TORCH_CUDA_ARCH_LIST
ENV TORCH_CUDA_ARCH_LIST=7.5 8.0 8.6 8.9 9.0 10.0 12.0+PTX
                        
# 2026-05-30 08:19:07  0.00B 定义构建参数
ARG torch_cuda_arch_list=7.5 8.0 8.6 8.9 9.0 10.0 12.0+PTX
                        
# 2026-05-30 08:19:07  339.05MB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.9 PYTHON_VERSION=3.12 UBUNTU_VERSION=24.04 /bin/sh -c . /opt/venv/bin/activate &&     uv pip install ray nvidia-ml-py -r /tmp/cli.txt # buildkit
                        
# 2026-05-30 08:19:02  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2026-05-30 08:19:02  258.81MB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.9 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
                        
# 2026-05-30 08:19:02  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
                        
# 2026-05-30 08:19:02  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2026-05-30 08:19:02  0.00B 定义构建参数
ARG UBUNTU_VERSION=24.04
                        
# 2026-05-30 08:19:02  0.00B 定义构建参数
ARG PYTHON_VERSION=3.12
                        
# 2026-05-30 08:19:02  0.00B 定义构建参数
ARG CUDA_VERSION=12.9
                        
# 2025-05-15 09:01:15  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs:
                        
# 2025-05-15 09:01:15  1.02GB 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
                        
# 2025-05-15 08:58:46  1.49KB 复制新文件或目录到容器中
COPY cuda-*.patch /tmp # buildkit
                        
# 2025-05-15 08:58:46  99.02MB 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
                        
# 2025-05-15 08:37:55  0.00B 添加元数据标签
LABEL com.nvidia.nccl.version=2.26.5 com.nvidia.cublas.version=12.9.0.13 com.nvidia.cufft.version=11.4.0.6 com.nvidia.curand.version=10.3.10.19 com.nvidia.cusparse.version=12.5.9.5 com.nvidia.cusparselt.version=0.7.1.0 com.nvidia.cusolver.version=11.7.4.40 com.nvidia.npp.version=12.4.0.27 com.nvidia.nvjpeg.version=12.4.0.16 com.nvidia.cublasmp.version=0.4.0.789 com.nvidia.cal.version=0.4.4.50 com.nvidia.cudnn.version=9.10.1.4 com.nvidia.tensorrt.version=10.10.0.31 com.nvidia.tensorrtoss.version= com.nvidia.nsightsystems.version=2025.3.1.90 com.nvidia.nsightcompute.version=2025.2.0.11
                        
# 2025-05-15 08:37:55  7.84GB 执行命令并创建新的镜像层
RUN /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
                        
# 2025-05-15 08:36:58  584.70MB 执行命令并创建新的镜像层
RUN /bin/sh -c /nvidia/build-scripts/installCUDA.sh # buildkit
                        
# 2025-05-15 08:36:49  302.31MB 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         apt-utils         build-essential         libncurses6         libncursesw6         unzip         jq         gnupg         libtcmalloc-minimal4  && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-05-15 08:23:05  467.00B 执行命令并创建新的镜像层
RUN |40 JETPACK_HOST_MOUNTS= GDRCOPY_VERSION=2.4.4 HPCX_VERSION=2.23 RDMACORE_VERSION=50.0 MOFED_VERSION=5.4-rdmacore50.0 OPENUCX_VERSION=1.19.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 CUDA_VERSION=12.9.0.043 CUDA_DRIVER_VERSION=575.51.03 NCCL_VERSION=2.26.5 CUBLAS_VERSION=12.9.0.13 CUFFT_VERSION=11.4.0.6 CURAND_VERSION=10.3.10.19 CUSPARSE_VERSION=12.5.9.5 CUSOLVER_VERSION=11.7.4.40 NPP_VERSION=12.4.0.27 NVJPEG_VERSION=12.4.0.16 CUFILE_VERSION=1.14.0.30 NVJITLINK_VERSION=12.9.41 CUBLASMP_VERSION=0.4.0.789 CAL_VERSION=0.4.4.50 NVSHMEM_VERSION=3.2.5 CUDNN_VERSION=9.10.1.4 CUDNN_FRONTEND_VERSION=1.11.0 TRT_VERSION=10.10.0.31 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.3.1.90 NSIGHT_COMPUTE_VERSION=2025.2.0.11 CUSPARSELT_VERSION=0.7.1.0 DALI_VERSION=1.49.0 DALI_BUILD= DALI_URL_SUFFIX=120 POLYGRAPHY_VERSION=0.49.20 TRANSFORMER_ENGINE_VERSION=2.3 MODEL_OPT_VERSION=0.27.1 CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0 _LIBPATH_SUFFIX= /bin/sh -c mkdir -p /workspace && cp -f -p /opt/nvidia/entrypoint.d/30-container-license.txt /workspace/license.txt # buildkit
                        
# 2025-05-15 08:23:05  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2025-05-15 08:23:05  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2025-05-15 08:23:05  16.23KB 复制新文件或目录到容器中
COPY entrypoint/ /opt/nvidia/ # buildkit
                        
# 2025-05-15 08:23:05  21.81KB 执行命令并创建新的镜像层
RUN |40 JETPACK_HOST_MOUNTS= GDRCOPY_VERSION=2.4.4 HPCX_VERSION=2.23 RDMACORE_VERSION=50.0 MOFED_VERSION=5.4-rdmacore50.0 OPENUCX_VERSION=1.19.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 CUDA_VERSION=12.9.0.043 CUDA_DRIVER_VERSION=575.51.03 NCCL_VERSION=2.26.5 CUBLAS_VERSION=12.9.0.13 CUFFT_VERSION=11.4.0.6 CURAND_VERSION=10.3.10.19 CUSPARSE_VERSION=12.5.9.5 CUSOLVER_VERSION=11.7.4.40 NPP_VERSION=12.4.0.27 NVJPEG_VERSION=12.4.0.16 CUFILE_VERSION=1.14.0.30 NVJITLINK_VERSION=12.9.41 CUBLASMP_VERSION=0.4.0.789 CAL_VERSION=0.4.4.50 NVSHMEM_VERSION=3.2.5 CUDNN_VERSION=9.10.1.4 CUDNN_FRONTEND_VERSION=1.11.0 TRT_VERSION=10.10.0.31 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.3.1.90 NSIGHT_COMPUTE_VERSION=2025.2.0.11 CUSPARSELT_VERSION=0.7.1.0 DALI_VERSION=1.49.0 DALI_BUILD= DALI_URL_SUFFIX=120 POLYGRAPHY_VERSION=0.49.20 TRANSFORMER_ENGINE_VERSION=2.3 MODEL_OPT_VERSION=0.27.1 CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0 _LIBPATH_SUFFIX= /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
                        
# 2025-05-15 08:23:05  5.13MB 复制新文件或目录到容器中
COPY /opt/amazon/aws-ofi-nccl /opt/amazon/aws-ofi-nccl # buildkit
                        
# 2025-05-15 08:22:44  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
                        
# 2025-05-15 08:22:44  0.00B 定义构建参数
ARG _LIBPATH_SUFFIX=
                        
# 2025-05-15 08:22:44  46.00B 执行命令并创建新的镜像层
RUN |39 JETPACK_HOST_MOUNTS= GDRCOPY_VERSION=2.4.4 HPCX_VERSION=2.23 RDMACORE_VERSION=50.0 MOFED_VERSION=5.4-rdmacore50.0 OPENUCX_VERSION=1.19.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 CUDA_VERSION=12.9.0.043 CUDA_DRIVER_VERSION=575.51.03 NCCL_VERSION=2.26.5 CUBLAS_VERSION=12.9.0.13 CUFFT_VERSION=11.4.0.6 CURAND_VERSION=10.3.10.19 CUSPARSE_VERSION=12.5.9.5 CUSOLVER_VERSION=11.7.4.40 NPP_VERSION=12.4.0.27 NVJPEG_VERSION=12.4.0.16 CUFILE_VERSION=1.14.0.30 NVJITLINK_VERSION=12.9.41 CUBLASMP_VERSION=0.4.0.789 CAL_VERSION=0.4.4.50 NVSHMEM_VERSION=3.2.5 CUDNN_VERSION=9.10.1.4 CUDNN_FRONTEND_VERSION=1.11.0 TRT_VERSION=10.10.0.31 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.3.1.90 NSIGHT_COMPUTE_VERSION=2025.2.0.11 CUSPARSELT_VERSION=0.7.1.0 DALI_VERSION=1.49.0 DALI_BUILD= DALI_URL_SUFFIX=120 POLYGRAPHY_VERSION=0.49.20 TRANSFORMER_ENGINE_VERSION=2.3 MODEL_OPT_VERSION=0.27.1 CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0 /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
                        
# 2025-05-15 08:22:44  13.39KB 复制文件或目录到容器中
ADD docs.tgz / # buildkit
                        
# 2025-05-15 08:22:44  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 DALI_VERSION DALI_BUILD DALI_URL_SUFFIX POLYGRAPHY_VERSION TRANSFORMER_ENGINE_VERSION MODEL_OPT_VERSION CUDA_ARCH_LIST
ENV NCCL_VERSION=2.26.5 CUBLAS_VERSION=12.9.0.13 CUFFT_VERSION=11.4.0.6 CURAND_VERSION=10.3.10.19 CUSPARSE_VERSION=12.5.9.5 CUSPARSELT_VERSION=0.7.1.0 CUSOLVER_VERSION=11.7.4.40 NPP_VERSION=12.4.0.27 NVJPEG_VERSION=12.4.0.16 CUFILE_VERSION=1.14.0.30 NVJITLINK_VERSION=12.9.41 CUBLASMP_VERSION=0.4.0.789 CAL_VERSION=0.4.4.50 NVSHMEM_VERSION=3.2.5 CUDNN_VERSION=9.10.1.4 CUDNN_FRONTEND_VERSION=1.11.0 TRT_VERSION=10.10.0.31 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.3.1.90 NSIGHT_COMPUTE_VERSION=2025.2.0.11 DALI_VERSION=1.49.0 DALI_BUILD= DALI_URL_SUFFIX=120 POLYGRAPHY_VERSION=0.49.20 TRANSFORMER_ENGINE_VERSION=2.3 MODEL_OPT_VERSION=0.27.1 CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0
                        
# 2025-05-15 08:22:44  0.00B 定义构建参数
ARG NCCL_VERSION=2.26.5 CUBLAS_VERSION=12.9.0.13 CUFFT_VERSION=11.4.0.6 CURAND_VERSION=10.3.10.19 CUSPARSE_VERSION=12.5.9.5 CUSOLVER_VERSION=11.7.4.40 NPP_VERSION=12.4.0.27 NVJPEG_VERSION=12.4.0.16 CUFILE_VERSION=1.14.0.30 NVJITLINK_VERSION=12.9.41 CUBLASMP_VERSION=0.4.0.789 CAL_VERSION=0.4.4.50 NVSHMEM_VERSION=3.2.5 CUDNN_VERSION=9.10.1.4 CUDNN_FRONTEND_VERSION=1.11.0 TRT_VERSION=10.10.0.31 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.3.1.90 NSIGHT_COMPUTE_VERSION=2025.2.0.11 CUSPARSELT_VERSION=0.7.1.0 DALI_VERSION=1.49.0 DALI_BUILD= DALI_URL_SUFFIX=120 POLYGRAPHY_VERSION=0.49.20 TRANSFORMER_ENGINE_VERSION=2.3 MODEL_OPT_VERSION=0.27.1 CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0
                        
# 2025-05-15 08:22:44  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver com.nvidia.cuda.version=9.0
                        
# 2025-05-15 08:22:44  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
                        
# 2025-05-15 08:22:44  68.28KB 执行命令并创建新的镜像层
RUN |12 JETPACK_HOST_MOUNTS= GDRCOPY_VERSION=2.4.4 HPCX_VERSION=2.23 RDMACORE_VERSION=50.0 MOFED_VERSION=5.4-rdmacore50.0 OPENUCX_VERSION=1.19.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 CUDA_VERSION=12.9.0.043 CUDA_DRIVER_VERSION=575.51.03 /bin/sh -c cp -vprd /nvidia/. /  &&  patch -p0 < /etc/startup_scripts.patch  &&  rm -f /etc/startup_scripts.patch # buildkit
                        
# 2025-05-15 08:22:44  290.43MB 执行命令并创建新的镜像层
RUN |12 JETPACK_HOST_MOUNTS= GDRCOPY_VERSION=2.4.4 HPCX_VERSION=2.23 RDMACORE_VERSION=50.0 MOFED_VERSION=5.4-rdmacore50.0 OPENUCX_VERSION=1.19.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 CUDA_VERSION=12.9.0.043 CUDA_DRIVER_VERSION=575.51.03 /bin/sh -c BASE=min /nvidia/build-scripts/installCUDA.sh # buildkit
                        
# 2025-05-15 07:04:54  0.00B 设置环境变量 CUDA_VERSION CUDA_DRIVER_VERSION
ENV CUDA_VERSION=12.9.0.043 CUDA_DRIVER_VERSION=575.51.03
                        
# 2025-05-15 07:04:54  0.00B 定义构建参数
ARG CUDA_DRIVER_VERSION=575.51.03
                        
# 2025-05-15 07:04:54  0.00B 定义构建参数
ARG CUDA_VERSION=12.9.0.043
                        
# 2025-05-15 07:04:54  0.00B 设置环境变量 OMPI_MCA_coll_hcoll_enable
ENV OMPI_MCA_coll_hcoll_enable=0
                        
# 2025-05-15 07:04:54  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
                        
# 2025-05-15 07:04:54  230.97MB 执行命令并创建新的镜像层
RUN |10 JETPACK_HOST_MOUNTS= GDRCOPY_VERSION=2.4.4 HPCX_VERSION=2.23 RDMACORE_VERSION=50.0 MOFED_VERSION=5.4-rdmacore50.0 OPENUCX_VERSION=1.19.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 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
                        
# 2025-05-15 07:04:54  0.00B 定义构建参数
ARG TARGETARCH=amd64
                        
# 2025-05-15 07:04:54  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=2.4.4 HPCX_VERSION=2.23 MOFED_VERSION=5.4-rdmacore50.0 OPENUCX_VERSION=1.19.0 OPENMPI_VERSION=4.1.7 RDMACORE_VERSION=50.0 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0
                        
# 2025-05-15 07:04:54  0.00B 定义构建参数
ARG AWS_OFI_NCCL_VERSION=1.14.0
                        
# 2025-05-15 07:04:54  0.00B 定义构建参数
ARG EFA_VERSION=1.38.1
                        
# 2025-05-15 07:04:54  0.00B 定义构建参数
ARG OPENMPI_VERSION=4.1.7
                        
# 2025-05-15 07:04:54  0.00B 定义构建参数
ARG OPENUCX_VERSION=1.19.0
                        
# 2025-05-15 07:04:54  0.00B 定义构建参数
ARG MOFED_VERSION=5.4-rdmacore50.0
                        
# 2025-05-15 07:04:54  0.00B 定义构建参数
ARG RDMACORE_VERSION=50.0
                        
# 2025-05-15 07:04:54  0.00B 定义构建参数
ARG HPCX_VERSION=2.23
                        
# 2025-05-15 07:04:54  0.00B 定义构建参数
ARG GDRCOPY_VERSION=2.4.4
                        
# 2025-05-15 07:04:54  9.25MB 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         ca-certificates         curl         patch         wget  && rm -rf /var/lib/apt/lists/*  && echo "hsts=0" > /root/.wgetrc # buildkit
                        
# 2025-05-15 07:04:54  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
                        
# 2025-05-15 07:04:54  0.00B 设置环境变量 NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS
ENV NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS=
                        
# 2025-05-15 07:04:54  0.00B 定义构建参数
ARG JETPACK_HOST_MOUNTS=
                        
# 2025-04-28 17:44:51  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-04-28 17:44:50  78.10MB 
/bin/sh -c #(nop) ADD file:ad85a9d7b0a74c2140bd51d9c4559cca392991e0c95f84cb139347348e5d1f9a in / 
                        
# 2025-04-28 17:44:48  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2025-04-28 17:44:48  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-04-28 17:44:48  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-04-28 17:44:48  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    "RepoTags": [
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    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-05-30T00:36:36.550507837Z",
    "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=2.4.4",
            "HPCX_VERSION=2.23",
            "MOFED_VERSION=5.4-rdmacore50.0",
            "OPENUCX_VERSION=1.19.0",
            "OPENMPI_VERSION=4.1.7",
            "RDMACORE_VERSION=50.0",
            "EFA_VERSION=1.38.1",
            "AWS_OFI_NCCL_VERSION=1.14.0",
            "OPAL_PREFIX=/opt/hpcx/ompi",
            "OMPI_MCA_coll_hcoll_enable=0",
            "CUDA_VERSION=12.9.0.043",
            "CUDA_DRIVER_VERSION=575.51.03",
            "_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=2.26.5",
            "CUBLAS_VERSION=12.9.0.13",
            "CUFFT_VERSION=11.4.0.6",
            "CURAND_VERSION=10.3.10.19",
            "CUSPARSE_VERSION=12.5.9.5",
            "CUSPARSELT_VERSION=0.7.1.0",
            "CUSOLVER_VERSION=11.7.4.40",
            "NPP_VERSION=12.4.0.27",
            "NVJPEG_VERSION=12.4.0.16",
            "CUFILE_VERSION=1.14.0.30",
            "NVJITLINK_VERSION=12.9.41",
            "CUBLASMP_VERSION=0.4.0.789",
            "CAL_VERSION=0.4.4.50",
            "NVSHMEM_VERSION=3.2.5",
            "CUDNN_VERSION=9.10.1.4",
            "CUDNN_FRONTEND_VERSION=1.11.0",
            "TRT_VERSION=10.10.0.31",
            "TRTOSS_VERSION=",
            "NSIGHT_SYSTEMS_VERSION=2025.3.1.90",
            "NSIGHT_COMPUTE_VERSION=2025.2.0.11",
            "DALI_VERSION=1.49.0",
            "DALI_BUILD=",
            "DALI_URL_SUFFIX=120",
            "POLYGRAPHY_VERSION=0.49.20",
            "TRANSFORMER_ENGINE_VERSION=2.3",
            "MODEL_OPT_VERSION=0.27.1",
            "CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0",
            "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=7.5 8.0 8.6 8.9 9.0 10.0 12.0+PTX"
        ],
        "Cmd": [
            "/bin/bash"
        ],
        "ArgsEscaped": true,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/workspace",
        "Entrypoint": [
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        ],
        "OnBuild": null,
        "Labels": {
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            "com.nvidia.cublas.version": "12.9.0.13",
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            "com.nvidia.cuda.version": "9.0",
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            "com.nvidia.cufft.version": "11.4.0.6",
            "com.nvidia.curand.version": "10.3.10.19",
            "com.nvidia.cusolver.version": "11.7.4.40",
            "com.nvidia.cusparse.version": "12.5.9.5",
            "com.nvidia.cusparselt.version": "0.7.1.0",
            "com.nvidia.nccl.version": "2.26.5",
            "com.nvidia.npp.version": "12.4.0.27",
            "com.nvidia.nsightcompute.version": "2025.2.0.11",
            "com.nvidia.nsightsystems.version": "2025.3.1.90",
            "com.nvidia.nvjpeg.version": "12.4.0.16",
            "com.nvidia.tensorrt.version": "10.10.0.31",
            "com.nvidia.tensorrtoss.version": "",
            "com.nvidia.volumes.needed": "nvidia_driver",
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            "sha256:34735fb89126b54a0144eff1ea56af9dcdf71b9a4668b45ebc7c6c031f4b79ff",
            "sha256:5a08b95b63d6348c834a8e771c2711093b6cc4217beb550439befefa8f20883b",
            "sha256:cd165861fcb5e046e22bc3fb599aca77532d942ecf10277d8435b48a77b3a477",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef"
        ]
    },
    "Metadata": {
        "LastTagTime": "2026-06-03T02:56:08.625821133+08:00"
    }
}

更多版本

docker.io/lmcache/standalone:v0.4.2

linux/amd64 docker.io18.30GB2026-05-12 01:38
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docker.io/lmcache/standalone:v0.4.5-cu129

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docker.io/lmcache/standalone:v0.4.5

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docker.io/lmcache/standalone:v0.4.5-cu130

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docker.io/lmcache/standalone:v0.4.6

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docker.io/lmcache/standalone:v0.4.6-cu129

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docker.io/lmcache/standalone:nightly

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docker.io/lmcache/standalone:v0.4.7-cu129

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