PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
container=oci
NVARCH=x86_64
NVIDIA_REQUIRE_CUDA=cuda>=11.8 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471
NV_CUDA_CUDART_VERSION=11.8.89-1
CUDA_VERSION=11.8.0
LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
NVIDIA_VISIBLE_DEVICES=all
NVIDIA_DRIVER_CAPABILITIES=compute,utility
NV_CUDA_LIB_VERSION=11.8.0-1
NV_NVTX_VERSION=11.8.86-1
NV_LIBNPP_VERSION=11.8.0.86-1
NV_LIBNPP_PACKAGE=libnpp-11-8-11.8.0.86-1
NV_LIBCUBLAS_VERSION=11.11.3.6-1
NV_LIBNCCL_PACKAGE_NAME=libnccl
NV_LIBNCCL_PACKAGE_VERSION=2.15.5-1
NV_LIBNCCL_VERSION=2.15.5
NCCL_VERSION=2.15.5
NV_LIBNCCL_PACKAGE=libnccl-2.15.5-1+cuda11.8
NVIDIA_PRODUCT_NAME=CUDA
NV_NVPROF_VERSION=11.8.87-1
NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-8-11.8.87-1
NV_CUDA_CUDART_DEV_VERSION=11.8.89-1
NV_NVML_DEV_VERSION=11.8.86-1
NV_LIBCUBLAS_DEV_VERSION=11.11.3.6-1
NV_LIBNPP_DEV_VERSION=11.8.0.86-1
NV_LIBNPP_DEV_PACKAGE=libnpp-devel-11-8-11.8.0.86-1
NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-devel
NV_LIBNCCL_DEV_PACKAGE_VERSION=2.15.5-1
NV_LIBNCCL_DEV_PACKAGE=libnccl-devel-2.15.5-1+cuda11.8
NV_CUDA_NSIGHT_COMPUTE_VERSION=11.8.0-1
NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-8-11.8.0-1
LIBRARY_PATH=/usr/local/cuda/lib64/stubs
镜像构建历史
# 2023-11-10 14:59:57 0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
# 2023-11-10 14:59:57 4.37GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c yum install -y make findutils cuda-command-line-tools-11-8-${NV_CUDA_LIB_VERSION} cuda-libraries-devel-11-8-${NV_CUDA_LIB_VERSION} cuda-minimal-build-11-8-${NV_CUDA_LIB_VERSION} cuda-cudart-devel-11-8-${NV_CUDA_CUDART_DEV_VERSION} ${NV_NVPROF_DEV_PACKAGE} cuda-nvml-devel-11-8-${NV_NVML_DEV_VERSION} libcublas-devel-11-8-${NV_LIBCUBLAS_DEV_VERSION} ${NV_LIBNPP_DEV_PACKAGE} ${NV_LIBNCCL_DEV_PACKAGE} ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE} && yum clean all && rm -rf /var/cache/yum/* # buildkit
# 2023-11-10 14:59:57 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <sw-cuda-installer@nvidia.com>
# 2023-11-10 14:59:57 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 14:59:57 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-8-11.8.0-1
# 2023-11-10 14:59:57 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=11.8.0-1
# 2023-11-10 14:59:57 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-devel-2.15.5-1+cuda11.8
# 2023-11-10 14:59:57 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.15.5
# 2023-11-10 14:59:57 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.15.5-1
# 2023-11-10 14:59:57 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-devel
# 2023-11-10 14:59:57 0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-devel-11-8-11.8.0.86-1
# 2023-11-10 14:59:57 0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=11.8.0.86-1
# 2023-11-10 14:59:57 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=11.11.3.6-1
# 2023-11-10 14:59:57 0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=11.8.86-1
# 2023-11-10 14:59:57 0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=11.8.89-1
# 2023-11-10 14:59:57 0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-8-11.8.87-1
# 2023-11-10 14:59:57 0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=11.8.87-1
# 2023-11-10 14:59:57 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.8.0-1
# 2023-11-10 14:39:35 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
# 2023-11-10 14:39:35 0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
# 2023-11-10 14:39:35 2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
# 2023-11-10 14:39:35 3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
# 2023-11-10 14:39:35 2.43GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c yum install -y cuda-libraries-11-8-${NV_CUDA_LIB_VERSION} cuda-nvtx-11-8-${NV_NVTX_VERSION} ${NV_LIBNPP_PACKAGE} libcublas-11-8-${NV_LIBCUBLAS_VERSION} ${NV_LIBNCCL_PACKAGE} && yum clean all && rm -rf /var/cache/yum/* # buildkit
# 2023-11-10 14:39:35 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <sw-cuda-installer@nvidia.com>
# 2023-11-10 14:39:35 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 14:39:35 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl-2.15.5-1+cuda11.8
# 2023-11-10 14:39:35 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.15.5
# 2023-11-10 14:39:35 0.00B 设置环境变量 NV_LIBNCCL_VERSION
ENV NV_LIBNCCL_VERSION=2.15.5
# 2023-11-10 14:39:35 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.15.5-1
# 2023-11-10 14:39:35 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl
# 2023-11-10 14:39:35 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=11.11.3.6-1
# 2023-11-10 14:39:35 0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-11-8-11.8.0.86-1
# 2023-11-10 14:39:35 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=11.8.0.86-1
# 2023-11-10 14:39:35 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=11.8.86-1
# 2023-11-10 14:39:35 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.8.0-1
# 2023-11-10 14:36:54 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2023-11-10 14:36:54 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2023-11-10 14:36:54 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2023-11-10 14:36:54 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
# 2023-11-10 14:36:54 0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 2023-11-10 14:36:54 46.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
# 2023-11-10 14:36:53 165.32MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c yum upgrade -y && yum install -y cuda-cudart-11-8-${NV_CUDA_CUDART_VERSION} cuda-compat-11-8 && yum clean all && rm -rf /var/cache/yum/* # buildkit
# 2023-11-10 14:36:32 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.8.0
# 2023-11-10 14:36:32 1.61KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c NVIDIA_GPGKEY_SUM=d0664fbbdb8c32356d45de36c5984617217b2d0bef41b93ccecd326ba3b80c87 && curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/rhel8/${NVARCH}/D42D0685.pub | sed '/^Version/d' > /etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA && echo "$NVIDIA_GPGKEY_SUM /etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA" | sha256sum -c --strict - # buildkit
# 2023-11-09 10:19:24 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <sw-cuda-installer@nvidia.com>
# 2023-11-09 10:19:24 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-09 10:19:24 165.00B 复制新文件或目录到容器中
COPY cuda.repo-x86_64 /etc/yum.repos.d/cuda.repo # buildkit
# 2023-11-09 10:19:24 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.8.89-1
# 2023-11-09 10:19:24 0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.8 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471
# 2023-11-09 10:19:24 0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
# 2023-10-23 18:50:22 207.32MB
/bin/sh -c mv -fZ /tmp/ubi.repo /etc/yum.repos.d/ubi.repo || :
# 2023-10-23 18:50:19 0.00B
/bin/sh -c rm -f /tmp/tls-ca-bundle.pem
# 2023-10-23 18:50:18 0.00B
/bin/sh -c rm -f '/etc/yum.repos.d/odcs-2485106-d27df.repo' '/etc/yum.repos.d/gitweb-f6bee.repo'
# 2023-10-23 18:50:17 0.00B
/bin/sh -c #(nop) LABEL "release"="1067.1698056881" "distribution-scope"="public" "vendor"="Red Hat, Inc." "build-date"="2023-10-23T10:28:59" "architecture"="x86_64" "vcs-type"="git" "vcs-ref"="384f2bb33eebab960262e967aa16d01fe2dbebff" "io.k8s.description"="The Universal Base Image is designed and engineered to be the base layer for all of your containerized applications, middleware and utilities. This base image is freely redistributable, but Red Hat only supports Red Hat technologies through subscriptions for Red Hat products. This image is maintained by Red Hat and updated regularly." "url"="https://access.redhat.com/containers/#/registry.access.redhat.com/ubi8/images/8.8-1067.1698056881"
# 2023-10-23 18:50:17 0.00B
/bin/sh -c #(nop) ADD file:fc7375b04eb34bf60c4a027bf06544b8e8138e3d025982394410e7b6d7c9e15e in /root/buildinfo/Dockerfile-ubi8-8.8-1067.1698056881
# 2023-10-23 18:50:17 0.00B
/bin/sh -c #(nop) ADD file:41b834b13f50d49fd12f408e144f961cb98df84c21835feaefc5b7cfefa947d9 in /root/buildinfo/content_manifests/ubi8-container-8.8-1067.1698056881.json
# 2023-10-23 18:50:17 0.00B
/bin/sh -c mkdir -p /var/log/rhsm
# 2023-10-23 18:50:16 0.00B
/bin/sh -c rm -rf /var/log/*
# 2023-10-23 18:50:15 0.00B
/bin/sh -c #(nop) CMD ["/bin/bash"]
# 2023-10-23 18:50:15 0.00B
/bin/sh -c #(nop) ENV PATH /usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 2023-10-23 18:50:15 0.00B
/bin/sh -c #(nop) ENV container oci
# 2023-10-23 18:50:15 0.00B
/bin/sh -c #(nop) LABEL io.openshift.tags="base rhel8"
# 2023-10-23 18:50:15 0.00B
/bin/sh -c #(nop) LABEL io.openshift.expose-services=""
# 2023-10-23 18:50:15 0.00B
/bin/sh -c #(nop) LABEL io.k8s.display-name="Red Hat Universal Base Image 8"
# 2023-10-23 18:50:15 0.00B
/bin/sh -c #(nop) LABEL description="The Universal Base Image is designed and engineered to be the base layer for all of your containerized applications, middleware and utilities. This base image is freely redistributable, but Red Hat only supports Red Hat technologies through subscriptions for Red Hat products. This image is maintained by Red Hat and updated regularly."
# 2023-10-23 18:50:15 0.00B
/bin/sh -c #(nop) LABEL summary="Provides the latest release of Red Hat Universal Base Image 8."
# 2023-10-23 18:50:15 0.00B
/bin/sh -c #(nop) LABEL com.redhat.license_terms="https://www.redhat.com/en/about/red-hat-end-user-license-agreements#UBI"
# 2023-10-23 18:50:15 0.00B
/bin/sh -c #(nop) LABEL com.redhat.component="ubi8-container" name="ubi8" version="8.8"
# 2023-10-23 18:50:15 0.00B
/bin/sh -c #(nop) LABEL maintainer="Red Hat, Inc."
# 2023-10-23 18:50:15 0.00B
/bin/sh -c #(nop) ADD multi:95004e1f41532afc9aae9a191ddb2c0494d86cc5d70c84414ee7cc53451f37d6 in /etc/yum.repos.d/
# 2023-10-23 18:50:15 0.00B
/bin/sh -c #(nop) ADD file:ecc29a1455ca1b7c82018555e16e2e802135974523df6748e431f8707e759ddd in /tmp/tls-ca-bundle.pem
# 2023-10-23 18:50:15 0.00B
/bin/sh -c mv -f /etc/yum.repos.d/ubi.repo /tmp || :
# 2023-10-23 18:50:14 0.00B
/bin/sh -c #(nop) ADD file:8aabf124ca46fe12644950ca76e472e9a08833b0dce07549f1ad3590957c2728 in /
镜像信息
{
"Id": "sha256:6d4df348e537146fba32fc8de652055498c9a444525d680bc625a28a6a8364cd",
"RepoTags": [
"nvidia/cuda:11.8.0-devel-ubi8",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.8.0-devel-ubi8"
],
"RepoDigests": [
"nvidia/cuda@sha256:07f78c377ad928da58a9da192a4ca978c4050b53c66f6df9461d20cba80db990",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda@sha256:2260bc10f3840335d428a4470a558d5fd48e6954a91aee06c1faaf1e9c1fd22d"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2023-11-10T06:59:57.015062116Z",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "",
"Author": "",
"Config": {
"Hostname": "",
"Domainname": "",
"User": "",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"Env": [
"PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
"container=oci",
"NVARCH=x86_64",
"NVIDIA_REQUIRE_CUDA=cuda\u003e=11.8 brand=tesla,driver\u003e=470,driver\u003c471 brand=unknown,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=geforce,driver\u003e=470,driver\u003c471 brand=geforcertx,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=titan,driver\u003e=470,driver\u003c471 brand=titanrtx,driver\u003e=470,driver\u003c471",
"NV_CUDA_CUDART_VERSION=11.8.89-1",
"CUDA_VERSION=11.8.0",
"LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
"NVIDIA_VISIBLE_DEVICES=all",
"NVIDIA_DRIVER_CAPABILITIES=compute,utility",
"NV_CUDA_LIB_VERSION=11.8.0-1",
"NV_NVTX_VERSION=11.8.86-1",
"NV_LIBNPP_VERSION=11.8.0.86-1",
"NV_LIBNPP_PACKAGE=libnpp-11-8-11.8.0.86-1",
"NV_LIBCUBLAS_VERSION=11.11.3.6-1",
"NV_LIBNCCL_PACKAGE_NAME=libnccl",
"NV_LIBNCCL_PACKAGE_VERSION=2.15.5-1",
"NV_LIBNCCL_VERSION=2.15.5",
"NCCL_VERSION=2.15.5",
"NV_LIBNCCL_PACKAGE=libnccl-2.15.5-1+cuda11.8",
"NVIDIA_PRODUCT_NAME=CUDA",
"NV_NVPROF_VERSION=11.8.87-1",
"NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-8-11.8.87-1",
"NV_CUDA_CUDART_DEV_VERSION=11.8.89-1",
"NV_NVML_DEV_VERSION=11.8.86-1",
"NV_LIBCUBLAS_DEV_VERSION=11.11.3.6-1",
"NV_LIBNPP_DEV_VERSION=11.8.0.86-1",
"NV_LIBNPP_DEV_PACKAGE=libnpp-devel-11-8-11.8.0.86-1",
"NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-devel",
"NV_LIBNCCL_DEV_PACKAGE_VERSION=2.15.5-1",
"NV_LIBNCCL_DEV_PACKAGE=libnccl-devel-2.15.5-1+cuda11.8",
"NV_CUDA_NSIGHT_COMPUTE_VERSION=11.8.0-1",
"NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-8-11.8.0-1",
"LIBRARY_PATH=/usr/local/cuda/lib64/stubs"
],
"Cmd": null,
"Image": "",
"Volumes": null,
"WorkingDir": "",
"Entrypoint": [
"/opt/nvidia/nvidia_entrypoint.sh"
],
"OnBuild": null,
"Labels": {
"architecture": "x86_64",
"build-date": "2023-10-23T10:28:59",
"com.redhat.component": "ubi8-container",
"com.redhat.license_terms": "https://www.redhat.com/en/about/red-hat-end-user-license-agreements#UBI",
"description": "The Universal Base Image is designed and engineered to be the base layer for all of your containerized applications, middleware and utilities. This base image is freely redistributable, but Red Hat only supports Red Hat technologies through subscriptions for Red Hat products. This image is maintained by Red Hat and updated regularly.",
"distribution-scope": "public",
"io.buildah.version": "1.29.0",
"io.k8s.description": "The Universal Base Image is designed and engineered to be the base layer for all of your containerized applications, middleware and utilities. This base image is freely redistributable, but Red Hat only supports Red Hat technologies through subscriptions for Red Hat products. This image is maintained by Red Hat and updated regularly.",
"io.k8s.display-name": "Red Hat Universal Base Image 8",
"io.openshift.expose-services": "",
"io.openshift.tags": "base rhel8",
"maintainer": "NVIDIA CORPORATION \u003csw-cuda-installer@nvidia.com\u003e",
"name": "ubi8",
"release": "1067.1698056881",
"summary": "Provides the latest release of Red Hat Universal Base Image 8.",
"url": "https://access.redhat.com/containers/#/registry.access.redhat.com/ubi8/images/8.8-1067.1698056881",
"vcs-ref": "384f2bb33eebab960262e967aa16d01fe2dbebff",
"vcs-type": "git",
"vendor": "Red Hat, Inc.",
"version": "8.8"
}
},
"Architecture": "amd64",
"Os": "linux",
"Size": 7173979442,
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