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ghcr.io/scverse/rapids_singlecell:v0.13.1 linux/amd64

ghcr.io/scverse/rapids_singlecell:v0.13.1 - 国内下载镜像源 浏览次数:11

ghcr.io/scverse/rapids_singlecell是整合了RAPIDS GPU加速数据分析库与单细胞分析相关工具的Docker镜像,用于支持需要GPU加速的单细胞数据分析任务,可帮助用户高效处理大规模单细胞数据,提升聚类、降维等分析步骤的运算速度。

源镜像 ghcr.io/scverse/rapids_singlecell:v0.13.1
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/scverse/rapids_singlecell:v0.13.1
镜像ID sha256:e351e27d4fc16a7a63fe23a710d3cb89306e6608aeeae9c6354ffe66c4c35ada
镜像TAG v0.13.1
大小 16.37GB
镜像源 ghcr.io
CMD /bin/bash
启动入口
工作目录
OS/平台 linux/amd64
浏览量 11 次
贡献者
镜像创建 2025-08-13T15:03:50.363766767Z
同步时间 2026-05-13 06:01
环境变量
PATH=/opt/conda/bin:/opt/conda/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin NVARCH=x86_64 NVIDIA_REQUIRE_CUDA=cuda>=12.9 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 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 NV_CUDA_CUDART_VERSION=12.9.37-1 CUDA_VERSION=12.9.0 LD_LIBRARY_PATH=/usr/local/cuda/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility PYTHON_VERSION=3.13
镜像标签
NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer 2025-08-13T15:03:26.578Z: org.opencontainers.image.created rapids_singlecell: GPU-accelerated framework for scRNA analysis: org.opencontainers.image.description MIT: org.opencontainers.image.licenses ubuntu: org.opencontainers.image.ref.name ed57afcad1c7b33e82d6ab1af04c3ac27174f2c0: org.opencontainers.image.revision https://github.com/scverse/rapids_singlecell: org.opencontainers.image.source rapids_singlecell: org.opencontainers.image.title https://github.com/scverse/rapids_singlecell: org.opencontainers.image.url v0.13.1: org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/scverse/rapids_singlecell:v0.13.1
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/scverse/rapids_singlecell:v0.13.1  ghcr.io/scverse/rapids_singlecell:v0.13.1

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/scverse/rapids_singlecell:v0.13.1
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/scverse/rapids_singlecell:v0.13.1  ghcr.io/scverse/rapids_singlecell:v0.13.1

Shell快速替换命令

sed -i 's#ghcr.io/scverse/rapids_singlecell:v0.13.1#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/scverse/rapids_singlecell:v0.13.1#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/scverse/rapids_singlecell:v0.13.1 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/scverse/rapids_singlecell:v0.13.1  ghcr.io/scverse/rapids_singlecell:v0.13.1'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/scverse/rapids_singlecell:v0.13.1 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/scverse/rapids_singlecell:v0.13.1  ghcr.io/scverse/rapids_singlecell:v0.13.1'

镜像构建历史


# 2025-08-13 23:03:50  398.33MB 执行命令并创建新的镜像层
RUN |1 GIT_ID=main /bin/bash -euo pipefail -c # install rapids_singlecell from source
set -x
mkdir /src
cd /src
git clone https://github.com/scverse/rapids_singlecell.git
cd rapids_singlecell
git checkout ${GIT_ID}
/opt/conda/bin/python -m pip install --no-cache-dir -e .
 # buildkit
                        
# 2025-08-13 23:03:50  0.00B 设置环境变量 PATH
ENV PATH=/opt/conda/bin:/opt/conda/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-08-13 23:03:50  0.00B 
SHELL [/bin/bash -euo pipefail -c]
                        
# 2025-08-13 23:03:50  0.00B 定义构建参数
ARG GIT_ID=main
                        
# 2025-08-13 22:45:33  59.10MB 执行命令并创建新的镜像层
RUN |3 PYTHON_VER=3.13 GIT_ID=main DEBIAN_FRONTEND=noninteractive /bin/bash -euo pipefail -c # install rapids_singlecell dependencies
set -x
/opt/conda/bin/python -m pip install --no-cache-dir git+https://github.com/scverse/rapids_singlecell.git@${GIT_ID}
/opt/conda/bin/python -m pip uninstall -y --no-cache-dir rapids-singlecell
/opt/conda/bin/python -m pip cache purge
 # buildkit
                        
# 2025-08-13 22:45:24  15.29GB 执行命令并创建新的镜像层
RUN |3 PYTHON_VER=3.13 GIT_ID=main DEBIAN_FRONTEND=noninteractive /bin/bash -euo pipefail -c # install conda environment
set -x
apt-get -qq update
apt-get -q -o=Dpkg::Use-Pty=0 -y dist-upgrade
apt-get -q install -y -o=Dpkg::Use-Pty=0 git
apt-get -q clean -y
mamba env update -n base -f rsc_rapids.yml
mamba install -y -n base pytest -c conda-forge
mamba clean -afy
 # buildkit
                        
# 2025-08-13 22:42:58  0.00B 定义构建参数
ARG DEBIAN_FRONTEND=noninteractive
                        
# 2025-08-13 22:42:58  0.00B 定义构建参数
ARG GIT_ID=main
                        
# 2025-08-13 22:42:58  267.00B 复制新文件或目录到容器中
COPY rsc_rapids.yml rsc_rapids.yml # buildkit
                        
# 2025-08-13 22:42:58  292.48MB 复制新文件或目录到容器中
COPY /opt/conda /opt/conda # buildkit
                        
# 2025-08-13 22:42:58  0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.13
                        
# 2025-08-13 22:42:58  0.00B 设置环境变量 PATH
ENV PATH=/opt/conda/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-08-13 22:42:58  0.00B 定义构建参数
ARG PYTHON_VER=3.13
                        
# 2025-08-13 22:42:58  0.00B 
SHELL [/bin/bash -euo pipefail -c]
                        
# 2025-05-06 05:38:35  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2025-05-06 05:38:35  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2025-05-06 05:38:35  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2025-05-06 05:38:35  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64
                        
# 2025-05-06 05:38:35  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
                        
# 2025-05-06 05:38:35  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
                        
# 2025-05-06 05:38:35  247.01MB 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-12-9=${NV_CUDA_CUDART_VERSION}     cuda-compat-12-9     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-05-06 05:38:23  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.9.0
                        
# 2025-05-06 05:38:23  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
                        
# 2025-05-06 05:38:23  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-05-06 05:38:23  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-05-06 05:38:23  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.9.37-1
                        
# 2025-05-06 05:38:23  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>=12.9 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 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
                        
# 2025-05-06 05:38:23  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 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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    "Id": "sha256:e351e27d4fc16a7a63fe23a710d3cb89306e6608aeeae9c6354ffe66c4c35ada",
    "RepoTags": [
        "ghcr.io/scverse/rapids_singlecell:v0.13.1",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/scverse/rapids_singlecell:v0.13.1"
    ],
    "RepoDigests": [
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        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/scverse/rapids_singlecell@sha256:1376d364c4c19be2a8db1f15522f3437a936a946e9957445d64b89cded925c9e"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-08-13T15:03:50.363766767Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/opt/conda/bin:/opt/conda/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=12.9 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 brand=unknown,driver\u003e=570,driver\u003c571 brand=grid,driver\u003e=570,driver\u003c571 brand=tesla,driver\u003e=570,driver\u003c571 brand=nvidia,driver\u003e=570,driver\u003c571 brand=quadro,driver\u003e=570,driver\u003c571 brand=quadrortx,driver\u003e=570,driver\u003c571 brand=nvidiartx,driver\u003e=570,driver\u003c571 brand=vapps,driver\u003e=570,driver\u003c571 brand=vpc,driver\u003e=570,driver\u003c571 brand=vcs,driver\u003e=570,driver\u003c571 brand=vws,driver\u003e=570,driver\u003c571 brand=cloudgaming,driver\u003e=570,driver\u003c571",
            "NV_CUDA_CUDART_VERSION=12.9.37-1",
            "CUDA_VERSION=12.9.0",
            "LD_LIBRARY_PATH=/usr/local/cuda/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "PYTHON_VERSION=3.13"
        ],
        "Cmd": [
            "/bin/bash"
        ],
        "Image": "",
        "Volumes": null,
        "WorkingDir": "",
        "Entrypoint": null,
        "OnBuild": null,
        "Labels": {
            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
            "org.opencontainers.image.created": "2025-08-13T15:03:26.578Z",
            "org.opencontainers.image.description": "rapids_singlecell: GPU-accelerated framework for scRNA analysis",
            "org.opencontainers.image.licenses": "MIT",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.revision": "ed57afcad1c7b33e82d6ab1af04c3ac27174f2c0",
            "org.opencontainers.image.source": "https://github.com/scverse/rapids_singlecell",
            "org.opencontainers.image.title": "rapids_singlecell",
            "org.opencontainers.image.url": "https://github.com/scverse/rapids_singlecell",
            "org.opencontainers.image.version": "v0.13.1"
        },
        "Shell": [
            "/bin/bash",
            "-euo",
            "pipefail",
            "-c"
        ]
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 16372022893,
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}

更多版本

ghcr.io/scverse/rapids_singlecell:latest

linux/amd64 ghcr.io10.51GB2026-01-08 01:24
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ghcr.io/scverse/rapids-singlecell-cu12:latest

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ghcr.io/scverse/rapids_singlecell:v0.13.1

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