Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/localai/localai:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/localai/localai:latest  docker.io/localai/localai:latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/localai/localai:latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/localai/localai:latest  docker.io/localai/localai:latest

Shell快速替换命令

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

Ansible快速分发-Containerd

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

镜像构建历史

# 2026-01-19 05:17:33  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/entrypoint.sh"]
                        
# 2026-01-19 05:17:33  0.00B 声明容器运行时监听的端口
EXPOSE [8080/tcp]
                        
# 2026-01-19 05:17:33  0.00B 创建挂载点用于持久化数据或共享数据
VOLUME [/models /backends /configuration]
                        
# 2026-01-19 05:17:33  0.00B 指定检查容器健康状态的命令
HEALTHCHECK &{["CMD-SHELL" "curl -f ${HEALTHCHECK_ENDPOINT} || exit 1"] "1m0s" "10m0s" "0s" "0s" '\n'}
                        
# 2026-01-19 05:17:33  0.00B 执行命令并创建新的镜像层
RUN |7 BUILD_TYPE= CUDA_MAJOR_VERSION= CUDA_MINOR_VERSION= SKIP_DRIVERS=false TARGETARCH=amd64 TARGETVARIANT= UBUNTU_VERSION=2404 /bin/sh -c mkdir -p /models /backends # buildkit
                        
# 2026-01-19 05:17:33  78.30MB 复制新文件或目录到容器中
COPY /build/local-ai ./ # buildkit
                        
# 2026-01-19 05:15:24  777.00B 复制新文件或目录到容器中
COPY ./entrypoint.sh . # buildkit
                        
# 2026-01-19 05:15:24  0.00B 设置工作目录为/
WORKDIR /
                        
# 2026-01-19 05:15:24  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2026-01-19 05:15:24  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA
ENV NVIDIA_REQUIRE_CUDA=cuda>=.0
                        
# 2026-01-19 05:15:24  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2026-01-19 05:15:24  0.00B 定义构建参数
ARG CUDA_MAJOR_VERSION=
                        
# 2026-01-19 05:15:24  0.00B 设置环境变量 HEALTHCHECK_ENDPOINT
ENV HEALTHCHECK_ENDPOINT=http://localhost:8080/readyz
                        
# 2026-01-19 05:15:24  0.00B 设置环境变量 PATH
ENV PATH=/opt/rocm/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2026-01-19 05:15:24  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
                        
# 2026-01-19 05:15:24  0.00B 执行命令并创建新的镜像层
RUN |7 BUILD_TYPE= CUDA_MAJOR_VERSION= CUDA_MINOR_VERSION= SKIP_DRIVERS=false TARGETARCH=amd64 TARGETVARIANT= UBUNTU_VERSION=2404 /bin/sh -c expr "${BUILD_TYPE}" = intel && echo "intel" > /run/localai/capability || echo "not intel" # buildkit
                        
# 2026-01-19 05:15:24  0.00B 执行命令并创建新的镜像层
RUN |7 BUILD_TYPE= CUDA_MAJOR_VERSION= CUDA_MINOR_VERSION= SKIP_DRIVERS=false TARGETARCH=amd64 TARGETVARIANT= UBUNTU_VERSION=2404 /bin/sh -c if [ "${BUILD_TYPE}" = "hipblas" ]; then     ln -s /opt/rocm-**/lib/llvm/lib/libomp.so /usr/lib/libomp.so     ; fi # buildkit
                        
# 2026-01-19 05:15:24  0.00B 执行命令并创建新的镜像层
RUN |7 BUILD_TYPE= CUDA_MAJOR_VERSION= CUDA_MINOR_VERSION= SKIP_DRIVERS=false TARGETARCH=amd64 TARGETVARIANT= UBUNTU_VERSION=2404 /bin/sh -c if [ "${BUILD_TYPE}" = "hipblas" ] && [ "${SKIP_DRIVERS}" = "false" ]; then         apt-get update &&         apt-get install -y --no-install-recommends             hipblas-dev             rocblas-dev &&         apt-get clean &&         rm -rf /var/lib/apt/lists/* &&         echo "amd" > /run/localai/capability &&         ldconfig     ; fi # buildkit
                        
# 2026-01-19 05:15:24  0.00B 执行命令并创建新的镜像层
RUN |7 BUILD_TYPE= CUDA_MAJOR_VERSION= CUDA_MINOR_VERSION= SKIP_DRIVERS=false TARGETARCH=amd64 TARGETVARIANT= UBUNTU_VERSION=2404 /bin/sh -c if [ "${BUILD_TYPE}" = "clblas" ] && [ "${SKIP_DRIVERS}" = "false" ]; then         apt-get update &&         apt-get install -y --no-install-recommends             libclblast-dev &&         apt-get clean &&         rm -rf /var/lib/apt/lists/*     ; fi # buildkit
                        
# 2026-01-19 05:15:24  0.00B 执行命令并创建新的镜像层
RUN |7 BUILD_TYPE= CUDA_MAJOR_VERSION= CUDA_MINOR_VERSION= SKIP_DRIVERS=false TARGETARCH=amd64 TARGETVARIANT= UBUNTU_VERSION=2404 /bin/sh -c <<EOT bash
    if [ "${BUILD_TYPE}" = "cublas" ] && [ "${TARGETARCH}" = "arm64" ]; then
        wget https://developer.download.nvidia.com/compute/cudss/0.6.0/local_installers/cudss-local-tegra-repo-ubuntu${UBUNTU_VERSION}-0.6.0_0.6.0-1_arm64.deb && \
        dpkg -i cudss-local-tegra-repo-ubuntu${UBUNTU_VERSION}-0.6.0_0.6.0-1_arm64.deb && \
        cp /var/cudss-local-tegra-repo-ubuntu${UBUNTU_VERSION}-0.6.0/cudss-*-keyring.gpg /usr/share/keyrings/ && \
        apt-get update && apt-get -y install cudss cudss-cuda-${CUDA_MAJOR_VERSION} && \
        wget https://developer.download.nvidia.com/compute/nvpl/25.5/local_installers/nvpl-local-repo-ubuntu${UBUNTU_VERSION}-25.5_1.0-1_arm64.deb && \
        dpkg -i nvpl-local-repo-ubuntu${UBUNTU_VERSION}-25.5_1.0-1_arm64.deb && \
        cp /var/nvpl-local-repo-ubuntu${UBUNTU_VERSION}-25.5/nvpl-*-keyring.gpg /usr/share/keyrings/ && \
        apt-get update && apt-get install -y nvpl
    fi
EOT # buildkit
                        
# 2026-01-19 05:15:24  0.00B 执行命令并创建新的镜像层
RUN |7 BUILD_TYPE= CUDA_MAJOR_VERSION= CUDA_MINOR_VERSION= SKIP_DRIVERS=false TARGETARCH=amd64 TARGETVARIANT= UBUNTU_VERSION=2404 /bin/sh -c <<EOT bash
    if [ "${BUILD_TYPE}" = "cublas" ] && [ "${TARGETARCH}" = "arm64" ]; then
        echo "nvidia-l4t-cuda-${CUDA_MAJOR_VERSION}" > /run/localai/capability
    fi
EOT # buildkit
                        
# 2026-01-19 05:15:24  0.00B 执行命令并创建新的镜像层
RUN |7 BUILD_TYPE= CUDA_MAJOR_VERSION= CUDA_MINOR_VERSION= SKIP_DRIVERS=false TARGETARCH=amd64 TARGETVARIANT= UBUNTU_VERSION=2404 /bin/sh -c <<EOT bash
    if ( [ "${BUILD_TYPE}" = "cublas" ] || [ "${BUILD_TYPE}" = "l4t" ] ) && [ "${SKIP_DRIVERS}" = "false" ]; then
        apt-get update && \
        apt-get install -y  --no-install-recommends \
            software-properties-common pciutils
        if [ "amd64" = "$TARGETARCH" ]; then
            curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${UBUNTU_VERSION}/x86_64/cuda-keyring_1.1-1_all.deb
        fi
        if [ "arm64" = "$TARGETARCH" ]; then
            if [ "${CUDA_MAJOR_VERSION}" = "13" ]; then
                curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${UBUNTU_VERSION}/sbsa/cuda-keyring_1.1-1_all.deb
            else
                curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${UBUNTU_VERSION}/arm64/cuda-keyring_1.1-1_all.deb
            fi
        fi
        dpkg -i cuda-keyring_1.1-1_all.deb && \
        rm -f cuda-keyring_1.1-1_all.deb && \
        apt-get update && \
        apt-get install -y --no-install-recommends \
            cuda-nvcc-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
            libcufft-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
            libcurand-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
            libcublas-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
            libcusparse-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
            libcusolver-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION}
        if [ "${CUDA_MAJOR_VERSION}" = "13" ] && [ "arm64" = "$TARGETARCH" ]; then
            apt-get install -y --no-install-recommends \
            libcufile-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libcudnn9-cuda-${CUDA_MAJOR_VERSION} cuda-cupti-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libnvjitlink-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION}
        fi
        apt-get clean && \
        rm -rf /var/lib/apt/lists/* && \
        echo "nvidia-cuda-${CUDA_MAJOR_VERSION}" > /run/localai/capability
    fi
EOT # buildkit
                        
# 2026-01-19 05:15:24  0.00B 执行命令并创建新的镜像层
RUN |7 BUILD_TYPE= CUDA_MAJOR_VERSION= CUDA_MINOR_VERSION= SKIP_DRIVERS=false TARGETARCH=amd64 TARGETVARIANT= UBUNTU_VERSION=2404 /bin/sh -c <<EOT bash
    if [ "${BUILD_TYPE}" = "vulkan" ] && [ "${SKIP_DRIVERS}" = "false" ]; then
        apt-get update && \
        apt-get install -y  --no-install-recommends \
            software-properties-common pciutils wget gpg-agent && \
        apt-get install -y libglm-dev cmake libxcb-dri3-0 libxcb-present0 libpciaccess0 \
            libpng-dev libxcb-keysyms1-dev libxcb-dri3-dev libx11-dev g++ gcc \
            libwayland-dev libxrandr-dev libxcb-randr0-dev libxcb-ewmh-dev \
            git python-is-python3 bison libx11-xcb-dev liblz4-dev libzstd-dev \
            ocaml-core ninja-build pkg-config libxml2-dev wayland-protocols python3-jsonschema \
            clang-format qtbase5-dev qt6-base-dev libxcb-glx0-dev sudo xz-utils mesa-vulkan-drivers
        if [ "amd64" = "$TARGETARCH" ]; then
            wget "https://sdk.lunarg.com/sdk/download/1.4.335.0/linux/vulkansdk-linux-x86_64-1.4.335.0.tar.xz" && \
            tar -xf vulkansdk-linux-x86_64-1.4.335.0.tar.xz && \
            rm vulkansdk-linux-x86_64-1.4.335.0.tar.xz && \
            mkdir -p /opt/vulkan-sdk && \
            mv 1.4.335.0 /opt/vulkan-sdk/ && \
            cd /opt/vulkan-sdk/1.4.335.0 && \
            ./vulkansdk --no-deps --maxjobs \
                vulkan-loader \
                vulkan-validationlayers \
                vulkan-extensionlayer \
                vulkan-tools \
                shaderc && \
            cp -rfv /opt/vulkan-sdk/1.4.335.0/x86_64/bin/* /usr/bin/ && \
            cp -rfv /opt/vulkan-sdk/1.4.335.0/x86_64/lib/* /usr/lib/x86_64-linux-gnu/ && \
            cp -rfv /opt/vulkan-sdk/1.4.335.0/x86_64/include/* /usr/include/ && \
            cp -rfv /opt/vulkan-sdk/1.4.335.0/x86_64/share/* /usr/share/ && \
            rm -rf /opt/vulkan-sdk
        fi
        if [ "arm64" = "$TARGETARCH" ]; then
            mkdir vulkan && cd vulkan && \
            curl -L -o vulkan-sdk.tar.xz https://github.com/mudler/vulkan-sdk-arm/releases/download/1.4.335.0/vulkansdk-ubuntu-24.04-arm-1.4.335.0.tar.xz && \
            tar -xvf vulkan-sdk.tar.xz && \
            rm vulkan-sdk.tar.xz && \
            cd 1.4.335.0 && \
            cp -rfv aarch64/bin/* /usr/bin/ && \
            cp -rfv aarch64/lib/* /usr/lib/aarch64-linux-gnu/ && \
            cp -rfv aarch64/include/* /usr/include/ && \
            cp -rfv aarch64/share/* /usr/share/ && \
            cd ../.. && \
            rm -rf vulkan
        fi
        ldconfig && \
        apt-get clean && \
        rm -rf /var/lib/apt/lists/* && \
        echo "vulkan" > /run/localai/capability
    fi
EOT # buildkit
                        
# 2026-01-19 05:15:24  8.00B 执行命令并创建新的镜像层
RUN |7 BUILD_TYPE= CUDA_MAJOR_VERSION= CUDA_MINOR_VERSION= SKIP_DRIVERS=false TARGETARCH=amd64 TARGETVARIANT= UBUNTU_VERSION=2404 /bin/sh -c echo "default" > /run/localai/capability # buildkit
                        
# 2026-01-19 05:15:24  0.00B 执行命令并创建新的镜像层
RUN |7 BUILD_TYPE= CUDA_MAJOR_VERSION= CUDA_MINOR_VERSION= SKIP_DRIVERS=false TARGETARCH=amd64 TARGETVARIANT= UBUNTU_VERSION=2404 /bin/sh -c mkdir -p /run/localai # buildkit
                        
# 2026-01-19 05:15:24  0.00B 定义构建参数
ARG UBUNTU_VERSION=2404
                        
# 2026-01-19 05:15:24  0.00B 设置环境变量 BUILD_TYPE
ENV BUILD_TYPE=
                        
# 2026-01-19 05:15:24  0.00B 定义构建参数
ARG TARGETVARIANT=
                        
# 2026-01-19 05:15:24  0.00B 定义构建参数
ARG TARGETARCH=amd64
                        
# 2026-01-19 05:15:24  0.00B 定义构建参数
ARG SKIP_DRIVERS=false
                        
# 2026-01-19 05:15:24  0.00B 定义构建参数
ARG CUDA_MINOR_VERSION=
                        
# 2026-01-19 05:15:24  0.00B 定义构建参数
ARG CUDA_MAJOR_VERSION=
                        
# 2026-01-19 05:15:24  0.00B 定义构建参数
ARG BUILD_TYPE=
                        
# 2026-01-19 05:15:24  576.04MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update &&     apt-get install -y --no-install-recommends         ca-certificates curl wget espeak-ng libgomp1         ffmpeg libopenblas0 libopenblas-dev &&     apt-get clean &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-01-19 05:15:24  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2026-01-13 13:37:27  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2026-01-13 13:37:27  78.12MB 
/bin/sh -c #(nop) ADD file:3077ee44db3cc7d38740d60a05c81418dd3825a007db473658464f52689e867b in / 
                        
# 2026-01-13 13:37:25  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2026-01-13 13:37:25  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2026-01-13 13:37:25  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2026-01-13 13:37:25  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-01-18T21:17:33.540532388Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "8080/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/opt/rocm/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "DEBIAN_FRONTEND=noninteractive",
            "BUILD_TYPE=",
            "HEALTHCHECK_ENDPOINT=http://localhost:8080/readyz",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=.0",
            "NVIDIA_VISIBLE_DEVICES=all"
        ],
        "Cmd": null,
        "Healthcheck": {
            "Test": [
                "CMD-SHELL",
                "curl -f ${HEALTHCHECK_ENDPOINT} || exit 1"
            ],
            "Interval": 60000000000,
            "Timeout": 600000000000,
            "Retries": 10
        },
        "Image": "",
        "Volumes": {
            "/backends": {},
            "/configuration": {},
            "/models": {}
        },
        "WorkingDir": "/",
        "Entrypoint": [
            "/entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "org.opencontainers.image.created": "2026-01-18T21:14:35.416Z",
            "org.opencontainers.image.description": ":robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI,  running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more. Features: Generate Text, MCP, Audio, Video, Images, Voice Cloning, Distributed, P2P and decentralized inference",
            "org.opencontainers.image.licenses": "MIT",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.revision": "5f403b163120bee8dc9ab58a947218b7b958c1cc",
            "org.opencontainers.image.source": "https://github.com/mudler/LocalAI",
            "org.opencontainers.image.title": "LocalAI",
            "org.opencontainers.image.url": "https://github.com/mudler/LocalAI",
            "org.opencontainers.image.version": "v3.10.0"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 732469174,
    "GraphDriver": {
        "Data": {
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        "Name": "overlay2"
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    "RootFS": {
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            "sha256:90ffb35e7af137b259dd4e015b865662ca164a840da9e730590ce7f302f30ad6",
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