镜像构建历史
# 2025-12-05 01:12:53 0.00B 设置默认要执行的命令
CMD ["/start.sh"]
# 2025-12-05 01:12:53 2.36KB 执行命令并创建新的镜像层
RUN |2 CACHEBUST=1764867834 GIT_COMMIT=main /bin/sh -c chmod +x /start.sh # buildkit
# 2025-12-05 01:12:52 2.36KB 复制新文件或目录到容器中
COPY docker/start.sh /start.sh # buildkit
# 2025-12-05 01:12:52 0.00B 设置工作目录为/
WORKDIR /
# 2025-12-05 01:12:52 0.00B 声明容器运行时监听的端口
EXPOSE map[8675/tcp:{}]
# 2025-12-05 01:12:52 1.47GB 执行命令并创建新的镜像层
RUN |2 CACHEBUST=1764867834 GIT_COMMIT=main /bin/sh -c npm install && npm run build && npm run update_db # buildkit
# 2025-12-05 01:11:47 0.00B 设置工作目录为/app/ai-toolkit/ui
WORKDIR /app/ai-toolkit/ui
# 2025-12-05 01:11:47 9.05GB 执行命令并创建新的镜像层
RUN |2 CACHEBUST=1764867834 GIT_COMMIT=main /bin/sh -c pip install --no-cache-dir -r requirements.txt && pip install --pre --no-cache-dir torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu128 --force && pip install setuptools==69.5.1 --no-cache-dir # buildkit
# 2025-12-05 01:04:00 0.00B 设置工作目录为/app/ai-toolkit
WORKDIR /app/ai-toolkit
# 2025-12-05 01:04:00 75.77MB 执行命令并创建新的镜像层
RUN |2 CACHEBUST=1764867834 GIT_COMMIT=main /bin/sh -c echo "Cache bust: ${CACHEBUST}" && git clone https://github.com/ostris/ai-toolkit.git && cd ai-toolkit && git checkout ${GIT_COMMIT} # buildkit
# 2025-08-29 03:15:09 0.00B 定义构建参数
ARG GIT_COMMIT=main
# 2025-08-29 03:15:09 0.00B 定义构建参数
ARG CACHEBUST=1764867834
# 2025-08-29 03:15:09 7.01GB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --pre --no-cache-dir torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu128 # buildkit
# 2025-08-29 03:13:15 16.00B 执行命令并创建新的镜像层
RUN /bin/sh -c ln -s /usr/bin/python3 /usr/bin/python # buildkit
# 2025-08-29 03:13:14 0.00B 设置工作目录为/app
WORKDIR /app
# 2025-08-29 03:13:14 195.51MB 执行命令并创建新的镜像层
RUN /bin/sh -c curl -sL https://deb.nodesource.com/setup_23.x -o nodesource_setup.sh && bash nodesource_setup.sh && apt-get update && apt-get install -y nodejs && apt-get clean && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-08-29 03:12:51 0.00B 设置工作目录为/tmp
WORKDIR /tmp
# 2025-08-29 03:12:51 930.89MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install --no-install-recommends -y git curl build-essential cmake wget python3.10 python3-pip python3-dev python3-setuptools python3-wheel python3-venv ffmpeg tmux htop nvtop python3-opencv openssh-client openssh-server openssl rsync unzip && apt-get clean && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-08-29 03:12:51 0.00B 设置环境变量 TORCH_CUDA_ARCH_LIST
ENV TORCH_CUDA_ARCH_LIST=8.0 8.6 8.9 9.0 10.0 12.0
# 2025-08-29 03:12:51 0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
# 2025-08-29 03:12:51 0.00B 添加元数据标签
LABEL authors=jaret
# 2025-03-11 06:36:52 0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
# 2025-03-11 06:36:52 389.48KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
# 2025-03-11 06:36:52 5.94GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-dev-12-8=${NV_CUDA_CUDART_DEV_VERSION} cuda-command-line-tools-12-8=${NV_CUDA_LIB_VERSION} cuda-minimal-build-12-8=${NV_CUDA_LIB_VERSION} cuda-libraries-dev-12-8=${NV_CUDA_LIB_VERSION} cuda-nvml-dev-12-8=${NV_NVML_DEV_VERSION} ${NV_NVPROF_DEV_PACKAGE} ${NV_LIBNPP_DEV_PACKAGE} libcusparse-dev-12-8=${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
# 2025-03-11 06:36:52 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2025-03-11 06:36:52 0.00B 定义构建参数
ARG TARGETARCH
# 2025-03-11 06:36:52 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.25.1-1+cuda12.8
# 2025-03-11 06:36:52 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.25.1-1
# 2025-03-11 06:36:52 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.25.1-1
# 2025-03-11 06:36:52 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
# 2025-03-11 06:36:52 0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-8=12.8.90-1
# 2025-03-11 06:36:52 0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.8.90-1
# 2025-03-11 06:36:52 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-8=12.8.1-1
# 2025-03-11 06:36:52 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.8.1-1
# 2025-03-11 06:36:52 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-8=12.8.4.1-1
# 2025-03-11 06:36:52 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-8
# 2025-03-11 06:36:52 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.8.4.1-1
# 2025-03-11 06:36:52 0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-8=12.3.3.100-1
# 2025-03-11 06:36:52 0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.3.3.100-1
# 2025-03-11 06:36:52 0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.5.8.93-1
# 2025-03-11 06:36:52 0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.8.90-1
# 2025-03-11 06:36:52 0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.8.90-1
# 2025-03-11 06:36:52 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.8.1-1
# 2025-03-11 06:24:31 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
# 2025-03-11 06:24:31 0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
# 2025-03-11 06:24:31 2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
# 2025-03-11 06:24:31 3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
# 2025-03-11 06:24:31 263.00KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
# 2025-03-11 06:24:31 3.11GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-12-8=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-12-8=${NV_NVTX_VERSION} libcusparse-12-8=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-03-11 06:24:31 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2025-03-11 06:24:31 0.00B 定义构建参数
ARG TARGETARCH
# 2025-03-11 06:24:31 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.25.1-1+cuda12.8
# 2025-03-11 06:24:31 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.25.1-1
# 2025-03-11 06:24:31 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.25.1-1
# 2025-03-11 06:24:31 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
# 2025-03-11 06:24:31 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-8=12.8.4.1-1
# 2025-03-11 06:24:31 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.8.4.1-1
# 2025-03-11 06:24:31 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-8
# 2025-03-11 06:24:31 0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.5.8.93-1
# 2025-03-11 06:24:31 0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-8=12.3.3.100-1
# 2025-03-11 06:24:31 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.3.3.100-1
# 2025-03-11 06:24:31 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.8.90-1
# 2025-03-11 06:24:31 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.8.1-1
# 2025-03-11 06:19:20 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2025-03-11 06:19:20 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2025-03-11 06:19:20 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2025-03-11 06:19:20 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64
# 2025-03-11 06:19:20 0.00B 设置环境变量 PATH
ENV PATH=/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 2025-03-11 06:19:20 22.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/cuda/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
# 2025-03-11 06:19:20 203.35MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-12-8=${NV_CUDA_CUDART_VERSION} cuda-compat-12-8 && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-03-11 06:19:05 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.8.1
# 2025-03-11 06:19:05 10.60MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.1-1_all.deb && dpkg -i cuda-keyring_1.1-1_all.deb && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-03-11 06:19:05 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2025-03-11 06:19:05 0.00B 定义构建参数
ARG TARGETARCH
# 2025-03-11 06:19:05 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.8.90-1
# 2025-03-11 06:19:05 0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.8 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 brand=unknown,driver>=560,driver<561 brand=grid,driver>=560,driver<561 brand=tesla,driver>=560,driver<561 brand=nvidia,driver>=560,driver<561 brand=quadro,driver>=560,driver<561 brand=quadrortx,driver>=560,driver<561 brand=nvidiartx,driver>=560,driver<561 brand=vapps,driver>=560,driver<561 brand=vpc,driver>=560,driver<561 brand=vcs,driver>=560,driver<561 brand=vws,driver>=560,driver<561 brand=cloudgaming,driver>=560,driver<561 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566
# 2025-03-11 06:19:05 0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
# 2025-01-26 13:31:11 0.00B
/bin/sh -c #(nop) CMD ["/bin/bash"]
# 2025-01-26 13:31:10 77.86MB
/bin/sh -c #(nop) ADD file:1b6c8c9518be42fa2afe5e241ca31677fce58d27cdfa88baa91a65a259be3637 in /
# 2025-01-26 13:31:07 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.version=22.04
# 2025-01-26 13:31:07 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
# 2025-01-26 13:31:07 0.00B
/bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
# 2025-01-26 13:31:07 0.00B
/bin/sh -c #(nop) ARG RELEASE
镜像信息
{
"Id": "sha256:a34a8d40f35a250152985d925665c3bc373ffc7649f22f668e5f986b40c77eb1",
"RepoTags": [
"ostris/aitoolkit:latest",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ostris/aitoolkit:latest"
],
"RepoDigests": [
"ostris/aitoolkit@sha256:b4c775983847d87d3b29c529c64ff33e053602aee30e55324f622c1b0d8e467c",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ostris/aitoolkit@sha256:0ba2bdd5065d9c0414029a155f98e58dd2cb7b72d68dbe98c4cf6fcb6f8ed12e"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2025-12-04T10:12:53.995471532-07:00",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "",
"Author": "",
"Config": {
"Hostname": "",
"Domainname": "",
"User": "",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"ExposedPorts": {
"8675/tcp": {}
},
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"Env": [
"PATH=/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
"NVARCH=x86_64",
"NVIDIA_REQUIRE_CUDA=cuda\u003e=12.8 brand=unknown,driver\u003e=470,driver\u003c471 brand=grid,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=vapps,driver\u003e=470,driver\u003c471 brand=vpc,driver\u003e=470,driver\u003c471 brand=vcs,driver\u003e=470,driver\u003c471 brand=vws,driver\u003e=470,driver\u003c471 brand=cloudgaming,driver\u003e=470,driver\u003c471 brand=unknown,driver\u003e=535,driver\u003c536 brand=grid,driver\u003e=535,driver\u003c536 brand=tesla,driver\u003e=535,driver\u003c536 brand=nvidia,driver\u003e=535,driver\u003c536 brand=quadro,driver\u003e=535,driver\u003c536 brand=quadrortx,driver\u003e=535,driver\u003c536 brand=nvidiartx,driver\u003e=535,driver\u003c536 brand=vapps,driver\u003e=535,driver\u003c536 brand=vpc,driver\u003e=535,driver\u003c536 brand=vcs,driver\u003e=535,driver\u003c536 brand=vws,driver\u003e=535,driver\u003c536 brand=cloudgaming,driver\u003e=535,driver\u003c536 brand=unknown,driver\u003e=550,driver\u003c551 brand=grid,driver\u003e=550,driver\u003c551 brand=tesla,driver\u003e=550,driver\u003c551 brand=nvidia,driver\u003e=550,driver\u003c551 brand=quadro,driver\u003e=550,driver\u003c551 brand=quadrortx,driver\u003e=550,driver\u003c551 brand=nvidiartx,driver\u003e=550,driver\u003c551 brand=vapps,driver\u003e=550,driver\u003c551 brand=vpc,driver\u003e=550,driver\u003c551 brand=vcs,driver\u003e=550,driver\u003c551 brand=vws,driver\u003e=550,driver\u003c551 brand=cloudgaming,driver\u003e=550,driver\u003c551 brand=unknown,driver\u003e=560,driver\u003c561 brand=grid,driver\u003e=560,driver\u003c561 brand=tesla,driver\u003e=560,driver\u003c561 brand=nvidia,driver\u003e=560,driver\u003c561 brand=quadro,driver\u003e=560,driver\u003c561 brand=quadrortx,driver\u003e=560,driver\u003c561 brand=nvidiartx,driver\u003e=560,driver\u003c561 brand=vapps,driver\u003e=560,driver\u003c561 brand=vpc,driver\u003e=560,driver\u003c561 brand=vcs,driver\u003e=560,driver\u003c561 brand=vws,driver\u003e=560,driver\u003c561 brand=cloudgaming,driver\u003e=560,driver\u003c561 brand=unknown,driver\u003e=565,driver\u003c566 brand=grid,driver\u003e=565,driver\u003c566 brand=tesla,driver\u003e=565,driver\u003c566 brand=nvidia,driver\u003e=565,driver\u003c566 brand=quadro,driver\u003e=565,driver\u003c566 brand=quadrortx,driver\u003e=565,driver\u003c566 brand=nvidiartx,driver\u003e=565,driver\u003c566 brand=vapps,driver\u003e=565,driver\u003c566 brand=vpc,driver\u003e=565,driver\u003c566 brand=vcs,driver\u003e=565,driver\u003c566 brand=vws,driver\u003e=565,driver\u003c566 brand=cloudgaming,driver\u003e=565,driver\u003c566",
"NV_CUDA_CUDART_VERSION=12.8.90-1",
"CUDA_VERSION=12.8.1",
"LD_LIBRARY_PATH=/usr/local/cuda/lib64",
"NVIDIA_VISIBLE_DEVICES=all",
"NVIDIA_DRIVER_CAPABILITIES=compute,utility",
"NV_CUDA_LIB_VERSION=12.8.1-1",
"NV_NVTX_VERSION=12.8.90-1",
"NV_LIBNPP_VERSION=12.3.3.100-1",
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