docker.io/xprobe/xinference:v0.12.0 linux/amd64

docker.io/xprobe/xinference:v0.12.0 - 国内下载镜像源 浏览次数:59
XinInference 是一个基于 Docker 的容器镜像，旨在提供一个简单、易用的机器学习推断环境。该镜像包含了 TensorFlow、PyTorch 和 scikit-learn 等常见的深度学习框架，可以用来快速 prototyping 和开发机器学习模型。
源镜像 docker.io/xprobe/xinference:v0.12.0
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v0.12.0
镜像ID sha256:dd3e67f53897ee8742675ded430a07544538af6dd4d061a08af83abdfbde9c4f
镜像TAG v0.12.0
大小 27.66GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口 /opt/nvidia/nvidia_entrypoint.sh
工作目录 /workspace
OS/平台 linux/amd64
浏览量 59 次
贡献者
镜像创建 2024-06-07T07:58:30.883901Z
同步时间 2024-09-25 04:01
更新时间 2024-10-23 15:11
环境变量
PATH=/usr/local/nvm/versions/node/v14.21.1/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin NVARCH=x86_64 NVIDIA_REQUIRE_CUDA=cuda>=12.1 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 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 NV_CUDA_CUDART_VERSION=12.1.105-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1 CUDA_VERSION=12.1.1 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=12.1.1-1 NV_NVTX_VERSION=12.1.105-1 NV_LIBNPP_VERSION=12.1.0.40-1 NV_LIBNPP_PACKAGE=libnpp-12-1=12.1.0.40-1 NV_LIBCUSPARSE_VERSION=12.1.0.106-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1 NV_LIBCUBLAS_VERSION=12.1.3.1-1 NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.3.1-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1 NCCL_VERSION=2.17.1-1 NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.1 NVIDIA_PRODUCT_NAME=CUDA NV_CUDA_CUDART_DEV_VERSION=12.1.105-1 NV_NVML_DEV_VERSION=12.1.105-1 NV_LIBCUSPARSE_DEV_VERSION=12.1.0.106-1 NV_LIBNPP_DEV_VERSION=12.1.0.40-1 NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-1=12.1.0.40-1 NV_LIBCUBLAS_DEV_VERSION=12.1.3.1-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-1 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-1=12.1.3.1-1 NV_CUDA_NSIGHT_COMPUTE_VERSION=12.1.1-1 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-1=12.1.1-1 NV_NVPROF_VERSION=12.1.105-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-1=12.1.105-1 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev NV_LIBNCCL_DEV_PACKAGE_VERSION=2.17.1-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.17.1-1+cuda12.1 LIBRARY_PATH=/usr/local/cuda/lib64/stubs NV_CUDNN_VERSION=8.9.0.131 NV_CUDNN_PACKAGE_NAME=libcudnn8 NV_CUDNN_PACKAGE=libcudnn8=8.9.0.131-1+cuda12.1 NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.9.0.131-1+cuda12.1 PYTORCH_VERSION=2.1.2 NVM_DIR=/usr/local/nvm NODE_VERSION=14.21.1
镜像标签
8.9.0.131: com.nvidia.cudnn.version nvidia_driver: com.nvidia.volumes.needed NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer ubuntu: org.opencontainers.image.ref.name 20.04: org.opencontainers.image.version

Docker拉取命令 无权限下载?点我修复 

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v0.12.0
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v0.12.0  docker.io/xprobe/xinference:v0.12.0

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v0.12.0
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v0.12.0  docker.io/xprobe/xinference:v0.12.0

Shell快速替换命令 

sed -i 's#xprobe/xinference:v0.12.0#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v0.12.0#' deployment.yaml

镜像历史

大小 创建时间 层信息
10.59GB 2024-06-07 15:58:30 |1 PIP_INDEX=https://pypi.org/simple /bin/sh -c python -m pip install --upgrade -i "$PIP_INDEX" pip && pip uninstall -y torchvision torchaudio && CMAKE_ARGS="-DGGML_CUBLAS=ON" pip install -i "$PIP_INDEX" -U chatglm-cpp && pip install llama-cpp-python --extra-index-url https://abetlen.github.io/llama-cpp-python/whl/cu121 && cd /opt/inference && python setup.py build_web && git restore . && pip install -i "$PIP_INDEX" ".[all]" && pip uninstall -y opencv-contrib-python && pip install -i "$PIP_INDEX" opencv-contrib-python-headless && pip cache purge && conda clean --force-pkgs-dirs -y
0.00B 2024-06-07 15:39:28 /bin/sh -c #(nop) ARG PIP_INDEX=https://pypi.org/simple
0.00B 2024-06-07 15:39:28 /bin/sh -c #(nop) ENV PATH=/usr/local/nvm/versions/node/v14.21.1/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
400.51MB 2024-06-07 15:39:26 /bin/sh -c apt-get -y update && apt install -y curl procps git libgl1 && mkdir -p $NVM_DIR && curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.7/install.sh | bash && . $NVM_DIR/nvm.sh && nvm install $NODE_VERSION && nvm alias default $NODE_VERSION && nvm use default && apt-get -yq clean
0.00B 2024-06-07 15:37:14 /bin/sh -c #(nop) ENV NODE_VERSION=14.21.1
0.00B 2024-06-07 15:37:14 /bin/sh -c #(nop) ENV NVM_DIR=/usr/local/nvm
91.04MB 2024-06-07 15:37:09 /bin/sh -c #(nop) COPY dir:63ef843cc8069dc91602b8b2b800e118fbdd83cd04282e7391b0d3f2444e0c6b in /opt/inference
0.00B 2023-12-15 06:55:34 WORKDIR /workspace
0.00B 2023-12-15 06:55:34 ENV PYTORCH_VERSION=2.1.2
0.00B 2023-12-15 06:55:34 ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
0.00B 2023-12-15 06:55:34 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
0.00B 2023-12-15 06:55:34 ENV NVIDIA_VISIBLE_DEVICES=all
0.00B 2023-12-15 06:55:34 ENV PATH=/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
6.96KB 2023-12-15 06:55:34 RUN |4 PYTORCH_VERSION=2.1.2 TRITON_VERSION=2.1.0+e6216047b8 TARGETPLATFORM=linux/amd64 CUDA_VERSION=12.1.1 /bin/sh -c if test -n "${TRITON_VERSION}" -a "${TARGETPLATFORM}" != "linux/arm64"; then DEBIAN_FRONTEND=noninteractive apt install -y --no-install-recommends gcc; rm -rf /var/lib/apt/lists/*; fi # buildkit
7.10GB 2023-12-15 06:55:32 COPY /opt/conda /opt/conda # buildkit
3.27MB 2023-12-15 06:47:57 RUN |4 PYTORCH_VERSION=2.1.2 TRITON_VERSION=2.1.0+e6216047b8 TARGETPLATFORM=linux/amd64 CUDA_VERSION=12.1.1 /bin/sh -c apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends ca-certificates libjpeg-dev libpng-dev && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-12-15 06:47:57 LABEL com.nvidia.volumes.needed=nvidia_driver
0.00B 2023-12-15 06:47:57 ARG CUDA_VERSION
0.00B 2023-12-15 06:47:57 ARG TARGETPLATFORM
0.00B 2023-12-15 06:47:57 ARG TRITON_VERSION
0.00B 2023-12-15 06:47:57 ARG PYTORCH_VERSION
2.45GB 2023-11-10 13:52:20 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends ${NV_CUDNN_PACKAGE} ${NV_CUDNN_PACKAGE_DEV} && apt-mark hold ${NV_CUDNN_PACKAGE_NAME} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-11-10 13:52:20 LABEL com.nvidia.cudnn.version=8.9.0.131
0.00B 2023-11-10 13:52:20 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-11-10 13:52:20 ARG TARGETARCH
0.00B 2023-11-10 13:52:20 ENV NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.9.0.131-1+cuda12.1
0.00B 2023-11-10 13:52:20 ENV NV_CUDNN_PACKAGE=libcudnn8=8.9.0.131-1+cuda12.1
0.00B 2023-11-10 13:52:20 ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
0.00B 2023-11-10 13:52:20 ENV NV_CUDNN_VERSION=8.9.0.131
0.00B 2023-11-10 13:25:45 ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
379.49KB 2023-11-10 13:25:45 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
4.77GB 2023-11-10 13:25:42 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends libtinfo5 libncursesw5 cuda-cudart-dev-12-1=${NV_CUDA_CUDART_DEV_VERSION} cuda-command-line-tools-12-1=${NV_CUDA_LIB_VERSION} cuda-minimal-build-12-1=${NV_CUDA_LIB_VERSION} cuda-libraries-dev-12-1=${NV_CUDA_LIB_VERSION} cuda-nvml-dev-12-1=${NV_NVML_DEV_VERSION} ${NV_NVPROF_DEV_PACKAGE} ${NV_LIBNPP_DEV_PACKAGE} libcusparse-dev-12-1=${NV_LIBCUSPARSE_DEV_VERSION} ${NV_LIBCUBLAS_DEV_PACKAGE} ${NV_LIBNCCL_DEV_PACKAGE} ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-11-10 13:25:42 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-11-10 13:25:42 ARG TARGETARCH
0.00B 2023-11-10 13:25:42 ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.17.1-1+cuda12.1
0.00B 2023-11-10 13:25:42 ENV NCCL_VERSION=2.17.1-1
0.00B 2023-11-10 13:25:42 ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.17.1-1
0.00B 2023-11-10 13:25:42 ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
0.00B 2023-11-10 13:25:42 ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-1=12.1.105-1
0.00B 2023-11-10 13:25:42 ENV NV_NVPROF_VERSION=12.1.105-1
0.00B 2023-11-10 13:25:42 ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-1=12.1.1-1
0.00B 2023-11-10 13:25:42 ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.1.1-1
0.00B 2023-11-10 13:25:42 ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-1=12.1.3.1-1
0.00B 2023-11-10 13:25:42 ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-1
0.00B 2023-11-10 13:25:42 ENV NV_LIBCUBLAS_DEV_VERSION=12.1.3.1-1
0.00B 2023-11-10 13:25:42 ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-1=12.1.0.40-1
0.00B 2023-11-10 13:25:42 ENV NV_LIBNPP_DEV_VERSION=12.1.0.40-1
0.00B 2023-11-10 13:25:42 ENV NV_LIBCUSPARSE_DEV_VERSION=12.1.0.106-1
0.00B 2023-11-10 13:25:42 ENV NV_NVML_DEV_VERSION=12.1.105-1
0.00B 2023-11-10 13:25:42 ENV NV_CUDA_CUDART_DEV_VERSION=12.1.105-1
0.00B 2023-11-10 13:25:42 ENV NV_CUDA_LIB_VERSION=12.1.1-1
0.00B 2023-11-10 13:14:24 ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
0.00B 2023-11-10 13:14:24 ENV NVIDIA_PRODUCT_NAME=CUDA
2.53KB 2023-11-10 13:14:24 COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
3.06KB 2023-11-10 13:14:24 COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
259.50KB 2023-11-10 13:14:24 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
2.01GB 2023-11-10 13:14:23 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-12-1=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-12-1=${NV_NVTX_VERSION} libcusparse-12-1=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-11-10 13:14:23 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-11-10 13:14:23 ARG TARGETARCH
0.00B 2023-11-10 13:14:23 ENV NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.1
0.00B 2023-11-10 13:14:23 ENV NCCL_VERSION=2.17.1-1
0.00B 2023-11-10 13:14:23 ENV NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1
0.00B 2023-11-10 13:14:23 ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
0.00B 2023-11-10 13:14:23 ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.3.1-1
0.00B 2023-11-10 13:14:23 ENV NV_LIBCUBLAS_VERSION=12.1.3.1-1
0.00B 2023-11-10 13:14:23 ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1
0.00B 2023-11-10 13:14:23 ENV NV_LIBCUSPARSE_VERSION=12.1.0.106-1
0.00B 2023-11-10 13:14:23 ENV NV_LIBNPP_PACKAGE=libnpp-12-1=12.1.0.40-1
0.00B 2023-11-10 13:14:23 ENV NV_LIBNPP_VERSION=12.1.0.40-1
0.00B 2023-11-10 13:14:23 ENV NV_NVTX_VERSION=12.1.105-1
0.00B 2023-11-10 13:14:23 ENV NV_CUDA_LIB_VERSION=12.1.1-1
0.00B 2023-11-10 13:07:30 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
0.00B 2023-11-10 13:07:30 ENV NVIDIA_VISIBLE_DEVICES=all
17.29KB 2023-11-10 13:07:30 COPY NGC-DL-CONTAINER-LICENSE / # buildkit
0.00B 2023-11-10 13:07:29 ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
0.00B 2023-11-10 13:07:29 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
46.00B 2023-11-10 13:07:29 RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
149.60MB 2023-11-10 13:07:29 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-12-1=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-11-10 13:07:08 ENV CUDA_VERSION=12.1.1
18.32MB 2023-11-10 13:07:08 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH}/3bf863cc.pub | apt-key add - && echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-11-10 13:07:08 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-11-10 13:07:08 ARG TARGETARCH
0.00B 2023-11-10 13:07:08 ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1
0.00B 2023-11-10 13:07:08 ENV NV_CUDA_CUDART_VERSION=12.1.105-1
0.00B 2023-11-10 13:07:08 ENV NVIDIA_REQUIRE_CUDA=cuda>=12.1 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 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526
0.00B 2023-11-10 13:07:08 ENV NVARCH=x86_64
0.00B 2023-10-03 18:45:52 /bin/sh -c #(nop) CMD ["/bin/bash"]
72.79MB 2023-10-03 18:45:51 /bin/sh -c #(nop) ADD file:4809da414c2d478b4d991cbdaa2df457f2b3d07d0ff6cf673f09a66f90833e81 in /
0.00B 2023-10-03 18:45:50 /bin/sh -c #(nop) LABEL org.opencontainers.image.version=20.04
0.00B 2023-10-03 18:45:50 /bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
0.00B 2023-10-03 18:45:50 /bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
0.00B 2023-10-03 18:45:50 /bin/sh -c #(nop) ARG RELEASE

镜像信息 

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    "RepoTags": [
        "xprobe/xinference:v0.12.0",
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    ],
    "Parent": "",
    "Comment": "",
    "Created": "2024-06-07T07:58:30.883901Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "20.10.17",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/nvm/versions/node/v14.21.1/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "NVARCH=x86_64",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=12.1 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 brand=tesla,driver\u003e=525,driver\u003c526 brand=unknown,driver\u003e=525,driver\u003c526 brand=nvidia,driver\u003e=525,driver\u003c526 brand=nvidiartx,driver\u003e=525,driver\u003c526 brand=geforce,driver\u003e=525,driver\u003c526 brand=geforcertx,driver\u003e=525,driver\u003c526 brand=quadro,driver\u003e=525,driver\u003c526 brand=quadrortx,driver\u003e=525,driver\u003c526 brand=titan,driver\u003e=525,driver\u003c526 brand=titanrtx,driver\u003e=525,driver\u003c526",
            "NV_CUDA_CUDART_VERSION=12.1.105-1",
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