ghcr.io/speaches-ai/speaches:latest-cuda linux/amd64

ghcr.io/speaches-ai/speaches:latest-cuda - 国内下载镜像源 浏览次数:32

温馨提示:此镜像为latest tag镜像,本站无法保证此版本为最新镜像

提供的镜像名称 ghcr.io/speaches-ai/speaches 缺乏足够的上下文信息,无法直接提供其描述。这只是一个镜像的地址,需要访问镜像仓库(例如GitHub Container Registry)才能获取具体的描述信息,例如其功能、版本、使用方法等。

源镜像 ghcr.io/speaches-ai/speaches:latest-cuda
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/speaches-ai/speaches:latest-cuda
镜像ID sha256:236e120c7e3efa56a84e7c2bea595bf3ceb8412f4f3d9c9a7ca26ad6dccaed00
镜像TAG latest-cuda
大小 5.59GB
镜像源 ghcr.io
CMD uvicorn --factory speaches.main:create_app
启动入口 /opt/nvidia/nvidia_entrypoint.sh
工作目录 /home/ubuntu/speaches
OS/平台 linux/amd64
浏览量 32 次
贡献者 39******9@qq.com
镜像创建 2025-09-19T03:50:29.313338376Z
同步时间 2025-10-16 17:12
更新时间 2025-10-20 20:08
开放端口
8000/tcp
环境变量
PATH=/home/ubuntu/speaches/.venv/bin:/home/ubuntu/.local/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin NVARCH=x86_64 NVIDIA_REQUIRE_CUDA=cuda>=12.6 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 NV_CUDA_CUDART_VERSION=12.6.77-1 CUDA_VERSION=12.6.3 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=12.6.3-1 NV_NVTX_VERSION=12.6.77-1 NV_LIBNPP_VERSION=12.3.1.54-1 NV_LIBNPP_PACKAGE=libnpp-12-6=12.3.1.54-1 NV_LIBCUSPARSE_VERSION=12.5.4.2-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-6 NV_LIBCUBLAS_VERSION=12.6.4.1-1 NV_LIBCUBLAS_PACKAGE=libcublas-12-6=12.6.4.1-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.23.4-1 NCCL_VERSION=2.23.4-1 NV_LIBNCCL_PACKAGE=libnccl2=2.23.4-1+cuda12.6 NVIDIA_PRODUCT_NAME=CUDA NV_CUDNN_VERSION=9.5.1.17-1 NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12 NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.5.1.17-1 HOME=/home/ubuntu UVICORN_HOST=0.0.0.0 UVICORN_PORT=8000 HF_HUB_ENABLE_HF_TRANSFER=0 DO_NOT_TRACK=1
镜像标签
9.5.1.17-1: com.nvidia.cudnn.version NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer MIT: org.opencontainers.image.licenses ubuntu: org.opencontainers.image.ref.name https://github.com/speaches-ai/speaches: org.opencontainers.image.source 24.04: org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/speaches-ai/speaches:latest-cuda
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/speaches-ai/speaches:latest-cuda  ghcr.io/speaches-ai/speaches:latest-cuda

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/speaches-ai/speaches:latest-cuda
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/speaches-ai/speaches:latest-cuda  ghcr.io/speaches-ai/speaches:latest-cuda

Shell快速替换命令

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

Ansible快速分发-Containerd

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

镜像构建历史


# 2025-09-19 11:50:29  0.00B 设置默认要执行的命令
CMD ["uvicorn" "--factory" "speaches.main:create_app"]
                        
# 2025-09-19 11:50:29  0.00B 声明容器运行时监听的端口
EXPOSE &{[{{48 0} {48 0}}] 0xc00054f300}
                        
# 2025-09-19 11:50:29  0.00B 设置环境变量 DO_NOT_TRACK
ENV DO_NOT_TRACK=1
                        
# 2025-09-19 11:50:29  0.00B 设置环境变量 HF_HUB_ENABLE_HF_TRANSFER
ENV HF_HUB_ENABLE_HF_TRANSFER=0
                        
# 2025-09-19 11:50:29  0.00B 设置环境变量 PATH
ENV PATH=/home/ubuntu/speaches/.venv/bin:/home/ubuntu/.local/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-09-19 11:50:29  0.00B 设置环境变量 UVICORN_PORT
ENV UVICORN_PORT=8000
                        
# 2025-09-19 11:50:29  0.00B 设置环境变量 UVICORN_HOST
ENV UVICORN_HOST=0.0.0.0
                        
# 2025-09-19 11:50:29  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir -p $HOME/.cache/huggingface/hub # buildkit
                        
# 2025-09-19 11:50:29  353.82MB 执行命令并创建新的镜像层
RUN /bin/sh -c uv sync --frozen --compile-bytecode --extra ui # buildkit
                        
# 2025-09-19 11:50:23  1.26MB 复制新文件或目录到容器中
COPY --chown=ubuntu . . # buildkit
                        
# 2025-09-19 11:50:23  1.48GB 执行命令并创建新的镜像层
RUN /bin/sh -c uv sync --frozen --compile-bytecode --no-install-project # buildkit
                        
# 2025-09-19 11:50:08  40.46MB 复制新文件或目录到容器中
COPY --chown=ubuntu /uv /bin/uv # buildkit
                        
# 2025-09-19 11:50:08  0.00B 设置工作目录为/home/ubuntu/speaches
WORKDIR /home/ubuntu/speaches
                        
# 2025-09-19 11:50:08  0.00B 设置环境变量 HOME PATH
ENV HOME=/home/ubuntu PATH=/home/ubuntu/.local/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-09-19 11:50:08  0.00B 指定运行容器时使用的用户
USER ubuntu
                        
# 2025-09-19 11:50:08  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c useradd --create-home --shell /bin/bash --uid 1000 ubuntu || true # buildkit
                        
# 2025-09-19 11:50:08  452.51MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update &&     DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends curl ffmpeg &&     apt-get clean &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-09-19 11:50:08  0.00B 添加元数据标签
LABEL org.opencontainers.image.licenses=MIT
                        
# 2025-09-19 11:50:08  0.00B 添加元数据标签
LABEL org.opencontainers.image.source=https://github.com/speaches-ai/speaches
                        
# 2024-11-23 02:53:18  867.78MB 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     ${NV_CUDNN_PACKAGE}     && apt-mark hold ${NV_CUDNN_PACKAGE_NAME}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-11-23 02:53:18  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=9.5.1.17-1
                        
# 2024-11-23 02:53:18  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-11-23 02:53:18  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-11-23 02:53:18  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.5.1.17-1
                        
# 2024-11-23 02:53:18  0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12
                        
# 2024-11-23 02:53:18  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=9.5.1.17-1
                        
# 2024-11-23 02:30:19  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2024-11-23 02:30:19  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2024-11-23 02:30:19  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2024-11-23 02:30:19  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2024-11-23 02:30:19  239.11KB 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
                        
# 2024-11-23 02:30:18  2.14GB 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-12-6=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-6=${NV_NVTX_VERSION}     libcusparse-12-6=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-11-23 02:30:18  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-11-23 02:30:18  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.23.4-1+cuda12.6
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.23.4-1
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.23.4-1
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-6=12.6.4.1-1
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.6.4.1-1
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-6
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.5.4.2-1
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-6=12.3.1.54-1
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.3.1.54-1
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.6.77-1
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.6.3-1
                        
# 2024-11-23 02:20:34  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2024-11-23 02:20:34  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2024-11-23 02:20:34  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2024-11-23 02:20:34  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2024-11-23 02:20:34  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
                        
# 2024-11-23 02:20:34  46.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf     && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
                        
# 2024-11-23 02:20:34  161.80MB 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-12-6=${NV_CUDA_CUDART_VERSION}     cuda-compat-12-6     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-11-23 02:20:23  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.6.3
                        
# 2024-11-23 02:20:23  10.24MB 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
                        
# 2024-11-23 02:20:23  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-11-23 02:20:23  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-11-23 02:20:23  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.6.77-1
                        
# 2024-11-23 02:20:23  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
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.6 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
                        
# 2024-11-23 02:20:23  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2024-10-16 17:25:57  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-10-16 17:25:57  78.12MB 
/bin/sh -c #(nop) ADD file:a3272496fda5a8d021b94dccaa6baa685ded51e9d23edb05f0b30978a83c9fc2 in / 
                        
# 2024-10-16 17:25:55  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2024-10-16 17:25:54  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-10-16 17:25:54  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-10-16 17:25:54  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:236e120c7e3efa56a84e7c2bea595bf3ceb8412f4f3d9c9a7ca26ad6dccaed00",
    "RepoTags": [
        "ghcr.io/speaches-ai/speaches:latest-cuda",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/speaches-ai/speaches:latest-cuda"
    ],
    "RepoDigests": [
        "ghcr.io/speaches-ai/speaches@sha256:6ec12ebf890a17e0d4b242a8ba9e0eb1fb836e60e8a3c857aea9838d541579ac",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/speaches-ai/speaches@sha256:ba686672ef468fd0bf5e3ea0bf712705c8d01379622a91fb9e947804caba26c4"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-09-19T03:50:29.313338376Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "ubuntu",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "8000/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/home/ubuntu/speaches/.venv/bin:/home/ubuntu/.local/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "NVARCH=x86_64",
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