docker.io/rayproject/ray:2.55.0 linux/amd64

docker.io/rayproject/ray:2.55.0 - 国内下载镜像源浏览次数:16

_rayproject/ray_ RAY 是一个基于 Python 的高性能计算框架，可以在多种环境中运行，包括本地、云和集群。Ray 提供了高效的并行计算能力，并且可以与其他库和框架集成。 -Ray 的主要特点有： * 高性能：Ray 使用了高性能的编译器和执行引擎，可以在多种环境中运行。 * 可扩展性：Ray 可以轻松地 scales to thousands of machines and can handle large-scale computations. * 可组合性：Ray 可以与其他库和框架集成，例如 TensorFlow、PyTorch 和 scikit-learn。总的来说，《RAY》是一个功能强大且灵活的计算框架，可以满足各种计算需求。

源镜像	docker.io/rayproject/ray:2.55.0
国内镜像	swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.55.0
镜像ID	sha256:4b96dca70b0d8631b8d5ac108579fe3aa59f4f7d1e0b2acaee70d84e1502f5ca
镜像TAG	2.55.0
大小	2.16GB
镜像源	docker.io
项目信息	Docker-Hub主页 🚀项目TAG 🚀
CMD	/bin/bash
启动入口
工作目录	/home/ray
OS/平台	linux/amd64
浏览量	16 次
贡献者
镜像创建	2026-04-11T05:20:31.880330053Z
同步时间	2026-04-22 09:46

环境变量

PATH=/home/ray/anaconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/nvidia/bin TZ=America/Los_Angeles LC_ALL=C.UTF-8 LANG=C.UTF-8 LD_LIBRARY_PATH=:/usr/local/nvidia/lib64 HOME=/home/ray

镜像标签

58af3fc5cad7e74001b3f89bffd9052a9e7aa2bb: io.ray.ray-commit 2.55.0: io.ray.ray-version 22.04: org.opencontainers.image.version

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Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.55.0
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.55.0  docker.io/rayproject/ray:2.55.0

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.55.0
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.55.0  docker.io/rayproject/ray:2.55.0

Shell快速替换命令

sed -i 's#rayproject/ray:2.55.0#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.55.0#' 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/rayproject/ray:2.55.0 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.55.0  docker.io/rayproject/ray:2.55.0'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.55.0 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/rayproject/ray:2.55.0  docker.io/rayproject/ray:2.55.0'

镜像构建历史


# 2026-04-11 13:20:31  0.00B 设置默认要执行的命令
CMD ["/bin/bash"]
                        
# 2026-04-11 13:20:31  891.33MB 执行命令并创建新的镜像层
RUN |3 IMAGE_TYPE=ray RAY_COMMIT=58af3fc5cad7e74001b3f89bffd9052a9e7aa2bb RAY_VERSION=2.55.0 /bin/bash -c /dev/pipes/EOF # buildkit
                        
# 2026-04-11 13:19:48  73.61MB 复制新文件或目录到容器中
COPY /opt/artifacts/*.whl /home/ray/ # buildkit
                        
# 2026-04-11 13:19:48  0.00B 添加元数据标签
LABEL io.ray.ray-version=2.55.0
                        
# 2026-04-11 13:19:48  0.00B 添加元数据标签
LABEL io.ray.ray-commit=58af3fc5cad7e74001b3f89bffd9052a9e7aa2bb
                        
# 2026-04-11 13:19:48  0.00B 定义构建参数
ARG RAY_VERSION=3.0.0.dev0
                        
# 2026-04-11 13:19:48  0.00B 定义构建参数
ARG RAY_COMMIT=unknown-commit
                        
# 2026-04-11 13:19:48  0.00B 定义构建参数
ARG IMAGE_TYPE=ray
                        
# 2026-04-11 08:59:26  0.00B 设置工作目录为/home/ray
WORKDIR /home/ray
                        
# 2026-04-11 08:59:26  640.19MB 执行命令并创建新的镜像层
RUN |6 DEBIAN_FRONTEND=noninteractive PYTHON_VERSION=3.10 CONSTRAINTS_FILE=python/requirements_compiled_py3.10.txt PYTHON_DEPSET=python/deplocks/base_deps/ray_base_deps_py3.10.lock RAY_UID=1000 RAY_GID=100 /bin/bash -c /dev/pipes/EOF # buildkit
                        
# 2026-04-11 08:58:29  0.00B 
SHELL [/bin/bash -c]
                        
# 2026-04-11 08:58:29  88.64KB 复制新文件或目录到容器中
COPY python/deplocks/base_deps/ray_base_deps_py3.10.lock /home/ray/python_depset.lock # buildkit
                        
# 2026-04-11 08:58:29  61.60KB 复制新文件或目录到容器中
COPY python/requirements_compiled_py3.10.txt /home/ray/requirements_compiled.txt # buildkit
                        
# 2026-04-11 08:58:29  0.00B 设置工作目录为/home/ray
WORKDIR /home/ray
                        
# 2026-04-11 08:58:29  0.00B 设置环境变量 HOME
ENV HOME=/home/ray
                        
# 2026-04-11 08:58:29  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2026-04-11 08:58:29  16.71MB 复制新文件或目录到容器中
COPY /usr/local/bin/haproxy /usr/local/bin/haproxy # buildkit
                        
# 2026-04-11 08:58:09  457.78MB 执行命令并创建新的镜像层
RUN |6 DEBIAN_FRONTEND=noninteractive PYTHON_VERSION=3.10 CONSTRAINTS_FILE=python/requirements_compiled_py3.10.txt PYTHON_DEPSET=python/deplocks/base_deps/ray_base_deps_py3.10.lock RAY_UID=1000 RAY_GID=100 /bin/sh -c /dev/pipes/EOF # buildkit
                        
# 2026-04-11 08:58:09  0.00B 定义构建参数
ARG RAY_GID=100
                        
# 2026-04-11 08:58:09  0.00B 定义构建参数
ARG RAY_UID=1000
                        
# 2026-04-11 08:58:09  0.00B 定义构建参数
ARG PYTHON_DEPSET=python/deplocks/base_deps/ray_base_deps_py3.10.lock
                        
# 2026-04-11 08:58:09  0.00B 定义构建参数
ARG CONSTRAINTS_FILE=python/requirements_compiled_py3.10.txt
                        
# 2026-04-11 08:58:09  0.00B 定义构建参数
ARG PYTHON_VERSION=3.10
                        
# 2026-04-11 08:58:09  0.00B 定义构建参数
ARG DEBIAN_FRONTEND=noninteractive
                        
# 2026-04-11 08:58:09  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=:/usr/local/nvidia/lib64
                        
# 2026-04-11 08:58:09  0.00B 设置环境变量 PATH
ENV PATH=/home/ray/anaconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/nvidia/bin
                        
# 2026-04-11 08:58:09  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2026-04-11 08:58:09  0.00B 设置环境变量 LC_ALL
ENV LC_ALL=C.UTF-8
                        
# 2026-04-11 08:58:09  0.00B 设置环境变量 TZ
ENV TZ=America/Los_Angeles
                        
# 2026-03-23 02:10:38  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2026-03-23 02:10:38  78.07MB 
/bin/sh -c #(nop) ADD file:6d6bdec36f3282e8506d4ebfcecc427191e59c9cf197a51a9e5787e7490eb0d6 in / 
                        
# 2026-03-23 02:10:35  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2026-03-23 02:10:35  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2026-03-23 02:10:35  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息

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    "RepoDigests": [
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    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-04-11T05:20:31.880330053Z",
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    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "1000",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
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            "TZ=America/Los_Angeles",
            "LC_ALL=C.UTF-8",
            "LANG=C.UTF-8",
            "LD_LIBRARY_PATH=:/usr/local/nvidia/lib64",
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    "Architecture": "amd64",
    "Os": "linux",
    "Size": 2157831191,
    "GraphDriver": {
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