docker.io/verlai/verl:uv.cu130.dev3 - 镜像下载

docker.io/verlai/verl:uv.cu130.dev3

linux/amd64 docker.io 悠悠时光贡献

很抱歉，我无法直接访问并获取Docker Hub上镜像的描述信息。我需要访问互联网才能做到这一点。因此，我无法提供 docker.io/verlai/verl 镜像的描述。

浏览次数

30.19GB

镜像大小

国内镜像

swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/verlai/verl:uv.cu130.dev3

源镜像

docker.io/verlai/verl:uv.cu130.dev3

镜像ID

sha256:656bc36cfd915e98c0fdd85fd1a9dc98f46ad6d7167c290325cc2d2264531f84

镜像 TAG

uv.cu130.dev3

镜像大小

30.19GB

平台架构

linux/amd64

镜像源

docker.io

项目信息

Hub 主页所有 TAG

CMD

bash

启动入口

/opt/nvidia/nvidia_entrypoint.sh

工作目录

/workspace/verl

OS/平台

linux/amd64

镜像创建

2026-09-01T09:54:08.935125522Z

同步时间

2026-10-18 00:58

浏览量

16 次

贡献者

悠悠时光

⚙️ 环境变量 50

Key	Value
`PATH=/workspace/verl/.venv/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/nvidia/bin`	`0`
`NVARCH=x86_64`	`1`
NVIDIA_REQUIRE_CUDA=cuda>=13.0 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>=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 brand=unknown,driver>=570,driver<571 brand=grid,driver>=570,driver<571 brand=tesla,driver>=570,driver<571 brand=nvidia,driver>=570,driver<571 brand=quadro,driver>=570,driver<571 brand=quadrortx,driver>=570,driver<571 brand=nvidiartx,driver>=570,driver<571 brand=vapps,driver>=570,driver<571 brand=vpc,driver>=570,driver<571 brand=vcs,driver>=570,driver<571 brand=vws,driver>=570,driver<571 brand=cloudgaming,driver>=570,driver<571 brand=unknown,driver>=575,driver<576 brand=grid,driver>=575,driver<576 brand=tesla,driver>=575,driver<576 brand=nvidia,driver>=575,driver<576 brand=quadro,driver>=575,driver<576 brand=quadrortx,driver>=575,driver<576 brand=nvidiartx,driver>=575,driver<576 brand=vapps,driver>=575,driver<576 brand=vpc,driver>=575,driver<576 brand=vcs,driver>=575,driver<576 brand=vws,driver>=575,driver<576 brand=cloudgaming,driver>=575,driver<576	`2`
`NV_CUDA_CUDART_VERSION=13.0.96-1`	`3`
`CUDA_VERSION=13.0.2`	`4`
`LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64`	`5`
`NVIDIA_VISIBLE_DEVICES=all`	`6`
`NVIDIA_DRIVER_CAPABILITIES=compute,utility`	`7`
`NV_CUDA_LIB_VERSION=13.0.2-1`	`8`
`NV_NVTX_VERSION=13.0.85-1`	`9`
`NV_LIBNPP_VERSION=13.0.1.2-1`	`10`
`NV_LIBNPP_PACKAGE=libnpp-13-0=13.0.1.2-1`	`11`
`NV_LIBCUSPARSE_VERSION=12.6.3.3-1`	`12`
`NV_LIBCUBLAS_PACKAGE_NAME=libcublas-13-0`	`13`
`NV_LIBCUBLAS_VERSION=13.1.0.3-1`	`14`
`NV_LIBCUBLAS_PACKAGE=libcublas-13-0=13.1.0.3-1`	`15`
`NV_LIBNCCL_PACKAGE_NAME=libnccl2`	`16`
`NV_LIBNCCL_PACKAGE_VERSION=2.28.3-1`	`17`
`NCCL_VERSION=2.28.3-1`	`18`
`NV_LIBNCCL_PACKAGE=libnccl2=2.28.3-1+cuda13.0`	`19`
`NVIDIA_PRODUCT_NAME=CUDA`	`20`
`NV_CUDA_CUDART_DEV_VERSION=13.0.96-1`	`21`
`NV_NVML_DEV_VERSION=13.0.87-1`	`22`
`NV_LIBCUSPARSE_DEV_VERSION=12.6.3.3-1`	`23`
`NV_LIBNPP_DEV_VERSION=13.0.1.2-1`	`24`
`NV_LIBNPP_DEV_PACKAGE=libnpp-dev-13-0=13.0.1.2-1`	`25`
`NV_LIBCUBLAS_DEV_VERSION=13.1.0.3-1`	`26`
`NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-13-0`	`27`
`NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-13-0=13.1.0.3-1`	`28`
`NV_CUDA_NSIGHT_COMPUTE_VERSION=13.0.2-1`	`29`
`NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-13-0=13.0.2-1`	`30`
`NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev`	`31`
`NV_LIBNCCL_DEV_PACKAGE_VERSION=2.28.3-1`	`32`
`NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.28.3-1+cuda13.0`	`33`
`LIBRARY_PATH=/usr/local/cuda/lib64/stubs`	`34`
`CUDA_HOME=/usr/local/cuda`	`35`
`GDRCOPY_HOME=/usr/src/gdrdrv-2.5.1/`	`36`
`LANG=en_US.UTF-8`	`37`
`LANGUAGE=en_US:en`	`38`
`LC_ALL=en_US.UTF-8`	`39`
`NVSHMEM_DIR=/usr/local/lib/python3.12/dist-packages/nvidia/nvshmem`	`40`
`CPATH=/usr/local/cuda-cccl`	`41`
`TORCH_CUDA_ARCH_LIST=9.0;10.0`	`42`
`UV_HTTP_TIMEOUT=500`	`43`
`UV_INDEX_STRATEGY=unsafe-best-match`	`44`
`UV_LINK_MODE=copy`	`45`
`UV_CACHE_DIR=/root/.cache/uv`	`46`
`NO_VCS_VERSION=1`	`47`
`VLLM_ENABLE_CUDA_COMPATIBILITY=0`	`48`
`VIRTUAL_ENV=/workspace/verl/.venv`	`49`

🏷️ 镜像标签 3

Key	Value
`NVIDIA CORPORATION <cudatools@nvidia.com>`	`maintainer`
`ubuntu`	`org.opencontainers.image.ref.name`
`24.04`	`org.opencontainers.image.version`

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无权限下载？点我修复生成 Docker Run 命令生成 Kubernetes YAML

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/verlai/verl:uv.cu130.dev3
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/verlai/verl:uv.cu130.dev3  docker.io/verlai/verl:uv.cu130.dev3

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/verlai/verl:uv.cu130.dev3
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/verlai/verl:uv.cu130.dev3  docker.io/verlai/verl:uv.cu130.dev3

Shell快速替换命令

sed -i 's#verlai/verl:uv.cu130.dev3#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/verlai/verl:uv.cu130.dev3#' 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/verlai/verl:uv.cu130.dev3 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/verlai/verl:uv.cu130.dev3  docker.io/verlai/verl:uv.cu130.dev3'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/verlai/verl:uv.cu130.dev3 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/verlai/verl:uv.cu130.dev3  docker.io/verlai/verl:uv.cu130.dev3'

镜像构建历史


# 2026-09-01 17:54:08  1.15GB 执行命令并创建新的镜像层
RUN |14 CUDA_VERSION=13.0.2 TARGETARCH=amd64 DEBIAN_FRONTEND=noninteractive NCCL_VERSION=2.28.3-1 VERL_REPO=https://github.com/verl-project/verl.git VERL_REF=main UBUNTU_MIRROR= PIP_DEFAULT_INDEX= GITHUB_ARTIFACTORY=github.com GDRCOPY_VERSION=2.5.1 NVSHMEM_VERSION=3.4.5 CPATH=/usr/local/cuda-cccl NSIGHT_VERSION=2025.6.1 NSIGHT_BUILD=2025.6.1.190-1 /bin/sh -c NSIGHT_ARCH=$(if [ "$(uname -m)" = "aarch64" ]; then echo arm64; else echo amd64; fi)     && NSIGHT_CHANNEL=$(echo ${NSIGHT_VERSION} | cut -d. -f1,2 | tr . _)     && NSIGHT_DEB=nsight-systems-${NSIGHT_VERSION}_${NSIGHT_BUILD}_${NSIGHT_ARCH}.deb     && curl --retry 3 --retry-delay 2 -fsSL -o /tmp/${NSIGHT_DEB}         https://developer.nvidia.com/downloads/assets/tools/secure/nsight-systems/${NSIGHT_CHANNEL}/${NSIGHT_DEB}     && apt-get update && apt-get install -y /tmp/${NSIGHT_DEB}     && rm -f /tmp/${NSIGHT_DEB}     && rm -rf /var/lib/apt/lists/*     && NSIGHT_ROOT=/opt/nvidia/nsight-systems/${NSIGHT_VERSION}     && NSYS_BIN="$(ls -1 ${NSIGHT_ROOT}/target-linux-*/nsys | head -n1)"     && NSYS_UI="$(ls -1 ${NSIGHT_ROOT}/host-linux-*/nsys-ui | head -n1)"     && test -x "${NSYS_BIN}" && test -x "${NSYS_UI}"     && ln -sf "${NSYS_BIN}" /usr/local/cuda/bin/nsys     && ln -sf "${NSYS_UI}" /usr/local/cuda/bin/nsys-ui     && nsys --version # buildkit
                        
# 2026-09-01 17:52:55  0.00B 定义构建参数
ARG NSIGHT_BUILD=2025.6.1.190-1
                        
# 2026-09-01 17:52:55  0.00B 定义构建参数
ARG NSIGHT_VERSION=2025.6.1
                        
# 2026-09-01 17:52:55  0.00B 设置默认要执行的命令
CMD ["bash"]
                        
# 2026-09-01 17:52:55  0.00B 设置环境变量 VIRTUAL_ENV PATH
ENV VIRTUAL_ENV=/workspace/verl/.venv PATH=/workspace/verl/.venv/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/nvidia/bin
                        
# 2026-09-01 17:52:55  48.52MB 复制新文件或目录到容器中
COPY . /workspace/verl # buildkit
                        
# 2026-09-01 17:52:55  21.64KB 执行命令并创建新的镜像层
RUN |12 CUDA_VERSION=13.0.2 TARGETARCH=amd64 DEBIAN_FRONTEND=noninteractive NCCL_VERSION=2.28.3-1 VERL_REPO=https://github.com/verl-project/verl.git VERL_REF=main UBUNTU_MIRROR= PIP_DEFAULT_INDEX= GITHUB_ARTIFACTORY=github.com GDRCOPY_VERSION=2.5.1 NVSHMEM_VERSION=3.4.5 CPATH=/usr/local/cuda-cccl /bin/sh -c update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-13 130 --slave /usr/bin/g++ g++ /usr/bin/g++-13     && update-alternatives --set gcc /usr/bin/gcc-13     && gcc --version && g++ --version # buildkit
                        
# 2026-09-01 17:52:54  16.79GB 执行命令并创建新的镜像层
RUN |12 CUDA_VERSION=13.0.2 TARGETARCH=amd64 DEBIAN_FRONTEND=noninteractive NCCL_VERSION=2.28.3-1 VERL_REPO=https://github.com/verl-project/verl.git VERL_REF=main UBUNTU_MIRROR= PIP_DEFAULT_INDEX= GITHUB_ARTIFACTORY=github.com GDRCOPY_VERSION=2.5.1 NVSHMEM_VERSION=3.4.5 CPATH=/usr/local/cuda-cccl /bin/sh -c python3 manage_envs.py prefetch cu130 dev -- --frozen # buildkit
                        
# 2026-09-01 17:37:47  5.00B 执行命令并创建新的镜像层
RUN |12 CUDA_VERSION=13.0.2 TARGETARCH=amd64 DEBIAN_FRONTEND=noninteractive NCCL_VERSION=2.28.3-1 VERL_REPO=https://github.com/verl-project/verl.git VERL_REF=main UBUNTU_MIRROR= PIP_DEFAULT_INDEX= GITHUB_ARTIFACTORY=github.com GDRCOPY_VERSION=2.5.1 NVSHMEM_VERSION=3.4.5 CPATH=/usr/local/cuda-cccl /bin/sh -c printf 'verl\n' > README.md # buildkit
                        
# 2026-09-01 17:37:47  11.00B 复制新文件或目录到容器中
COPY verl/version/version ./verl/version/version # buildkit
                        
# 2026-09-01 17:37:47  1.94MB 复制新文件或目录到容器中
COPY pyproject.toml uv.lock manage_envs.py setup.py ./ # buildkit
                        
# 2026-09-01 16:38:07  0.00B 设置工作目录为/workspace/verl
WORKDIR /workspace/verl
                        
# 2026-09-01 16:38:07  0.00B 设置环境变量 VLLM_ENABLE_CUDA_COMPATIBILITY
ENV VLLM_ENABLE_CUDA_COMPATIBILITY=0
                        
# 2026-09-01 16:38:07  0.00B 设置环境变量 NO_VCS_VERSION
ENV NO_VCS_VERSION=1
                        
# 2026-09-01 16:38:07  0.00B 设置环境变量 UV_HTTP_TIMEOUT UV_INDEX_STRATEGY UV_LINK_MODE UV_CACHE_DIR
ENV UV_HTTP_TIMEOUT=500 UV_INDEX_STRATEGY=unsafe-best-match UV_LINK_MODE=copy UV_CACHE_DIR=/root/.cache/uv
                        
# 2026-09-01 16:38:07  58.00MB 复制新文件或目录到容器中
COPY /uv /uvx /bin/ # buildkit
                        
# 2026-09-01 16:38:07  0.00B 设置环境变量 TORCH_CUDA_ARCH_LIST
ENV TORCH_CUDA_ARCH_LIST=9.0;10.0
                        
# 2026-09-01 16:38:07  0.00B 设置环境变量 CPATH
ENV CPATH=/usr/local/cuda-cccl
                        
# 2026-09-01 16:38:07  0.00B 定义构建参数
ARG CPATH=
                        
# 2026-09-01 16:38:07  49.00B 执行命令并创建新的镜像层
RUN |11 CUDA_VERSION=13.0.2 TARGETARCH=amd64 DEBIAN_FRONTEND=noninteractive NCCL_VERSION=2.28.9-1 VERL_REPO=https://github.com/verl-project/verl.git VERL_REF=main UBUNTU_MIRROR= PIP_DEFAULT_INDEX= GITHUB_ARTIFACTORY=github.com GDRCOPY_VERSION=2.5.1 NVSHMEM_VERSION=3.4.5 /bin/sh -c CUDA_TARGET=$(case "$(uname -m)" in aarch64) echo sbsa-linux;; *) echo x86_64-linux;; esac)     && ln -sfn /usr/local/cuda/targets/${CUDA_TARGET}/include/cccl /usr/local/cuda-cccl # buildkit
                        
# 2026-09-01 16:38:07  0.00B 设置环境变量 NVSHMEM_DIR
ENV NVSHMEM_DIR=/usr/local/lib/python3.12/dist-packages/nvidia/nvshmem
                        
# 2026-09-01 16:38:07  141.24MB 执行命令并创建新的镜像层
RUN |11 CUDA_VERSION=13.0.2 TARGETARCH=amd64 DEBIAN_FRONTEND=noninteractive NCCL_VERSION=2.28.9-1 VERL_REPO=https://github.com/verl-project/verl.git VERL_REF=main UBUNTU_MIRROR= PIP_DEFAULT_INDEX= GITHUB_ARTIFACTORY=github.com GDRCOPY_VERSION=2.5.1 NVSHMEM_VERSION=3.4.5 /bin/sh -c pip3 install --break-system-packages nvidia-nvshmem-cu13==${NVSHMEM_VERSION} # buildkit
                        
# 2026-08-31 19:47:14  38.00B 执行命令并创建新的镜像层
RUN |11 CUDA_VERSION=13.0.2 TARGETARCH=amd64 DEBIAN_FRONTEND=noninteractive NCCL_VERSION=2.28.9-1 VERL_REPO=https://github.com/verl-project/verl.git VERL_REF=main UBUNTU_MIRROR= PIP_DEFAULT_INDEX= GITHUB_ARTIFACTORY=github.com GDRCOPY_VERSION=2.5.1 NVSHMEM_VERSION=3.4.5 /bin/sh -c ln -sf /usr/lib/$(uname -m)-linux-gnu/libmlx5.so.1 /usr/lib/$(uname -m)-linux-gnu/libmlx5.so # buildkit
                        
# 2026-08-31 19:47:14  4.82MB 执行命令并创建新的镜像层
RUN |11 CUDA_VERSION=13.0.2 TARGETARCH=amd64 DEBIAN_FRONTEND=noninteractive NCCL_VERSION=2.28.9-1 VERL_REPO=https://github.com/verl-project/verl.git VERL_REF=main UBUNTU_MIRROR= PIP_DEFAULT_INDEX= GITHUB_ARTIFACTORY=github.com GDRCOPY_VERSION=2.5.1 NVSHMEM_VERSION=3.4.5 /bin/sh -c mkdir -p /tmp/gdrcopy && cd /tmp     && curl --retry 3 --retry-delay 2 -fsSL -o v${GDRCOPY_VERSION}.tar.gz         https://${GITHUB_ARTIFACTORY}/NVIDIA/gdrcopy/archive/refs/tags/v${GDRCOPY_VERSION}.tar.gz     && tar -xzf v${GDRCOPY_VERSION}.tar.gz && rm v${GDRCOPY_VERSION}.tar.gz     && cd gdrcopy-${GDRCOPY_VERSION}/packages     && CUDA=/usr/local/cuda ./build-deb-packages.sh     && dpkg -i gdrdrv-dkms_*.deb libgdrapi_*.deb gdrcopy-tests_*.deb gdrcopy_*.deb     && cd / && rm -rf /tmp/gdrcopy # buildkit
                        
# 2026-08-31 19:46:41  0.00B 执行命令并创建新的镜像层
RUN |11 CUDA_VERSION=13.0.2 TARGETARCH=amd64 DEBIAN_FRONTEND=noninteractive NCCL_VERSION=2.28.9-1 VERL_REPO=https://github.com/verl-project/verl.git VERL_REF=main UBUNTU_MIRROR= PIP_DEFAULT_INDEX= GITHUB_ARTIFACTORY=github.com GDRCOPY_VERSION=2.5.1 NVSHMEM_VERSION=3.4.5 /bin/sh -c if [ -n "${PIP_DEFAULT_INDEX}" ]; then         python3 -m pip config --global set global.index-url "${PIP_DEFAULT_INDEX}" || true;     fi # buildkit
                        
# 2026-08-31 19:46:41  2.53GB 执行命令并创建新的镜像层
RUN |11 CUDA_VERSION=13.0.2 TARGETARCH=amd64 DEBIAN_FRONTEND=noninteractive NCCL_VERSION=2.28.9-1 VERL_REPO=https://github.com/verl-project/verl.git VERL_REF=main UBUNTU_MIRROR= PIP_DEFAULT_INDEX= GITHUB_ARTIFACTORY=github.com GDRCOPY_VERSION=2.5.1 NVSHMEM_VERSION=3.4.5 /bin/sh -c CUDA_VERSION_MAJOR=$(echo ${CUDA_VERSION} | cut -d '.' -f 1)     && apt-get update && apt-get install -y --no-install-recommends --allow-downgrades --allow-change-held-packages         cudnn9-cuda-${CUDA_VERSION_MAJOR}         libcudnn9-cuda-${CUDA_VERSION_MAJOR}         libcudnn9-dev-cuda-${CUDA_VERSION_MAJOR}         libcudnn9-headers-cuda-${CUDA_VERSION_MAJOR}         libnccl2=${NCCL_VERSION}+cuda${CUDA_VERSION%.*}         libnccl-dev=${NCCL_VERSION}+cuda${CUDA_VERSION%.*}     && rm -rf /var/lib/apt/lists/*     && echo "=== Installed cuDNN $(dpkg-query -W -f='${Version}' libcudnn9-cuda-${CUDA_VERSION_MAJOR}) ==="     && echo "=== Installed NCCL  $(dpkg-query -W -f='${Version}' libnccl2) ===" # buildkit
                        
# 2026-08-31 19:44:06  0.00B 设置环境变量 LANG LANGUAGE LC_ALL
ENV LANG=en_US.UTF-8 LANGUAGE=en_US:en LC_ALL=en_US.UTF-8
                        
# 2026-08-31 19:44:06  3.07MB 执行命令并创建新的镜像层
RUN |11 CUDA_VERSION=13.0.2 TARGETARCH=amd64 DEBIAN_FRONTEND=noninteractive NCCL_VERSION=2.28.9-1 VERL_REPO=https://github.com/verl-project/verl.git VERL_REF=main UBUNTU_MIRROR= PIP_DEFAULT_INDEX= GITHUB_ARTIFACTORY=github.com GDRCOPY_VERSION=2.5.1 NVSHMEM_VERSION=3.4.5 /bin/sh -c locale-gen en_US.UTF-8 # buildkit
                        
# 2026-08-31 19:44:05  2.07GB 执行命令并创建新的镜像层
RUN |11 CUDA_VERSION=13.0.2 TARGETARCH=amd64 DEBIAN_FRONTEND=noninteractive NCCL_VERSION=2.28.9-1 VERL_REPO=https://github.com/verl-project/verl.git VERL_REF=main UBUNTU_MIRROR= PIP_DEFAULT_INDEX= GITHUB_ARTIFACTORY=github.com GDRCOPY_VERSION=2.5.1 NVSHMEM_VERSION=3.4.5 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends         ca-certificates         software-properties-common         netcat-openbsd         kmod         unzip         openssh-client         openssh-server         sudo         curl         wget         lsof         locales         vim         build-essential         ccache         cmake         ninja-build         perl         patchelf         git         git-lfs         gcc-10         g++-10         python3         python3-dev         python3-pip         python3-venv         libopenmpi-dev         libnuma1         libnuma-dev         numactl         ffmpeg         libibverbs-dev         libibverbs1         libibumad3         librdmacm-dev         librdmacm1         libnl-3-200         libnl-route-3-200         libnl-route-3-dev         libnl-3-dev         ibverbs-providers         infiniband-diags         perftest         libgoogle-glog-dev         libgtest-dev         libjsoncpp-dev         libunwind-dev         libboost-all-dev         libssl-dev         libgrpc-dev         libgrpc++-dev         libprotobuf-dev         protobuf-compiler         protobuf-compiler-grpc         pybind11-dev         libhiredis-dev         libcurl4-openssl-dev         libczmq4         libczmq-dev         libfabric-dev         devscripts         debhelper         fakeroot         dkms         check         libsubunit0         libsubunit-dev     && update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-10 110 --slave /usr/bin/g++ g++ /usr/bin/g++-10     && rm -rf /var/lib/apt/lists/*     && apt-get clean # buildkit
                        
# 2026-08-31 19:24:33  0.00B 执行命令并创建新的镜像层
RUN |11 CUDA_VERSION=13.0.2 TARGETARCH=amd64 DEBIAN_FRONTEND=noninteractive NCCL_VERSION=2.28.9-1 VERL_REPO=https://github.com/verl-project/verl.git VERL_REF=main UBUNTU_MIRROR= PIP_DEFAULT_INDEX= GITHUB_ARTIFACTORY=github.com GDRCOPY_VERSION=2.5.1 NVSHMEM_VERSION=3.4.5 /bin/sh -c if [ -n "${UBUNTU_MIRROR}" ]; then         find /etc/apt -name '*.list' -o -name '*.sources' | xargs -r             sed -i "s|http://.*archive.ubuntu.com|${UBUNTU_MIRROR}|g; s|http://.*security.ubuntu.com|${UBUNTU_MIRROR}|g";     fi # buildkit
                        
# 2026-08-31 19:24:33  0.00B 设置环境变量 PATH LD_LIBRARY_PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/nvidia/bin LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2026-08-31 19:24:33  0.00B 设置环境变量 CUDA_HOME GDRCOPY_HOME
ENV CUDA_HOME=/usr/local/cuda GDRCOPY_HOME=/usr/src/gdrdrv-2.5.1/
                        
# 2026-08-31 19:24:33  0.00B 定义构建参数
ARG NVSHMEM_VERSION=3.4.5
                        
# 2026-08-31 19:24:33  0.00B 定义构建参数
ARG GDRCOPY_VERSION=2.5.1
                        
# 2026-08-31 19:24:33  0.00B 定义构建参数
ARG GITHUB_ARTIFACTORY=github.com
                        
# 2026-08-31 19:24:33  0.00B 定义构建参数
ARG PIP_DEFAULT_INDEX
                        
# 2026-08-31 19:24:33  0.00B 定义构建参数
ARG UBUNTU_MIRROR
                        
# 2026-08-31 19:24:33  0.00B 定义构建参数
ARG VERL_REF=main
                        
# 2026-08-31 19:24:33  0.00B 定义构建参数
ARG VERL_REPO=https://github.com/verl-project/verl.git
                        
# 2026-08-31 19:24:33  0.00B 定义构建参数
ARG NCCL_VERSION=2.28.9-1
                        
# 2026-08-31 19:24:33  0.00B 定义构建参数
ARG DEBIAN_FRONTEND=noninteractive
                        
# 2026-08-31 19:24:33  0.00B 定义构建参数
ARG TARGETARCH=amd64
                        
# 2026-08-31 19:24:33  0.00B 定义构建参数
ARG CUDA_VERSION=13.0.2
                        
# 2025-10-11 01:12:58  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2025-10-11 01:12:58  392.23KB 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
                        
# 2025-10-11 01:12:58  4.86GB 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-13-0=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-13-0=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-13-0=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-13-0=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-13-0=${NV_NVML_DEV_VERSION}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-13-0=${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
                        
# 2025-10-11 01:12:58  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-10-11 01:12:58  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-10-11 01:12:58  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.28.3-1+cuda13.0
                        
# 2025-10-11 01:12:58  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.28.3-1
                        
# 2025-10-11 01:12:58  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.28.3-1
                        
# 2025-10-11 01:12:58  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2025-10-11 01:12:58  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-13-0=13.0.2-1
                        
# 2025-10-11 01:12:58  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=13.0.2-1
                        
# 2025-10-11 01:12:58  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-13-0=13.1.0.3-1
                        
# 2025-10-11 01:12:58  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-13-0
                        
# 2025-10-11 01:12:58  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=13.1.0.3-1
                        
# 2025-10-11 01:12:58  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-13-0=13.0.1.2-1
                        
# 2025-10-11 01:12:58  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=13.0.1.2-1
                        
# 2025-10-11 01:12:58  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.6.3.3-1
                        
# 2025-10-11 01:12:58  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=13.0.87-1
                        
# 2025-10-11 01:12:58  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=13.0.96-1
                        
# 2025-10-11 01:12:58  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=13.0.2-1
                        
# 2025-10-11 01:01:35  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2025-10-11 01:01:35  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2025-10-11 01:01:35  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2025-10-11 01:01:35  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2025-10-11 01:01:35  240.05KB 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
                        
# 2025-10-11 01:01:35  2.12GB 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-13-0=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-13-0=${NV_NVTX_VERSION}     libcusparse-13-0=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-10-11 01:01:35  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-10-11 01:01:35  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-10-11 01:01:35  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.28.3-1+cuda13.0
                        
# 2025-10-11 01:01:35  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.28.3-1
                        
# 2025-10-11 01:01:35  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.28.3-1
                        
# 2025-10-11 01:01:35  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2025-10-11 01:01:35  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-13-0=13.1.0.3-1
                        
# 2025-10-11 01:01:35  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=13.1.0.3-1
                        
# 2025-10-11 01:01:35  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-13-0
                        
# 2025-10-11 01:01:35  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.6.3.3-1
                        
# 2025-10-11 01:01:35  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-13-0=13.0.1.2-1
                        
# 2025-10-11 01:01:35  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=13.0.1.2-1
                        
# 2025-10-11 01:01:35  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=13.0.85-1
                        
# 2025-10-11 01:01:35  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=13.0.2-1
                        
# 2025-10-11 00:48:26  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2025-10-11 00:48:26  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2025-10-11 00:48:26  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2025-10-11 00:48:26  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64
                        
# 2025-10-11 00:48:26  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
                        
# 2025-10-11 00:48:26  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
                        
# 2025-10-11 00:48:26  322.86MB 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-13-0=${NV_CUDA_CUDART_VERSION}     cuda-compat-13-0     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-10-11 00:48:09  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=13.0.2
                        
# 2025-10-11 00:48:09  10.26MB 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 -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/${NVARCH}/3bf863cc.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-10-11 00:48:09  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-10-11 00:48:09  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-10-11 00:48:09  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=13.0.96-1
                        
# 2025-10-11 00:48:09  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>=13.0 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>=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 brand=unknown,driver>=570,driver<571 brand=grid,driver>=570,driver<571 brand=tesla,driver>=570,driver<571 brand=nvidia,driver>=570,driver<571 brand=quadro,driver>=570,driver<571 brand=quadrortx,driver>=570,driver<571 brand=nvidiartx,driver>=570,driver<571 brand=vapps,driver>=570,driver<571 brand=vpc,driver>=570,driver<571 brand=vcs,driver>=570,driver<571 brand=vws,driver>=570,driver<571 brand=cloudgaming,driver>=570,driver<571 brand=unknown,driver>=575,driver<576 brand=grid,driver>=575,driver<576 brand=tesla,driver>=575,driver<576 brand=nvidia,driver>=575,driver<576 brand=quadro,driver>=575,driver<576 brand=quadrortx,driver>=575,driver<576 brand=nvidiartx,driver>=575,driver<576 brand=vapps,driver>=575,driver<576 brand=vpc,driver>=575,driver<576 brand=vcs,driver>=575,driver<576 brand=vws,driver>=575,driver<576 brand=cloudgaming,driver>=575,driver<576
                        
# 2025-10-11 00:48:09  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2025-10-01 21:01:37  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-10-01 21:01:37  78.12MB 
/bin/sh -c #(nop) ADD file:249778a1782b02a1c2bcf9f292f5778d81442a53c3de1958d712f10baf7e0b60 in / 
                        
# 2025-10-01 21:01:35  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2025-10-01 21:01:35  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-10-01 21:01:35  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-10-01 21:01:35  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息

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    "RepoTags": [
        "verlai/verl:uv.cu130.dev3",
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    "RepoDigests": [
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    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-09-01T09:54:08.935125522Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
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}

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