docker.io/eosphorosai/dbgpt:latest linux/amd64

docker.io/eosphorosai/dbgpt:latest - 国内下载镜像源浏览次数:12

eosphorosai/dbgpt 是一个基于 PostgreSQL 的数据库镜像。

源镜像	docker.io/eosphorosai/dbgpt:latest
国内镜像	swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/eosphorosai/dbgpt:latest
镜像ID	sha256:666a9ef1d840a45928c95f7d229b53af42289915b587d8259c98567c0694cd33
镜像TAG	latest
大小	13.25GB
镜像源	docker.io
项目信息	Docker-Hub主页 🚀项目TAG 🚀
CMD	dbgpt start webserver
启动入口	/opt/nvidia/nvidia_entrypoint.sh
工作目录	/app
OS/平台	linux/amd64
浏览量	12 次
贡献者
镜像创建	2025-01-06T09:58:05.527009337Z
同步时间	2025-01-17 00:26
更新时间	2025-01-18 09:36

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开放端口

5670/tcp

环境变量

PATH=/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>=12.1 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 NV_CUDA_CUDART_VERSION=12.1.55-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1 CUDA_VERSION=12.1.0 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=12.1.0-1 NV_NVTX_VERSION=12.1.66-1 NV_LIBNPP_VERSION=12.0.2.50-1 NV_LIBNPP_PACKAGE=libnpp-12-1=12.0.2.50-1 NV_LIBCUSPARSE_VERSION=12.0.2.55-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1 NV_LIBCUBLAS_VERSION=12.1.0.26-1 NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.0.26-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1 NCCL_VERSION=2.17.1-1 NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.1 NVIDIA_PRODUCT_NAME=CUDA NVIDIA_CUDA_END_OF_LIFE=1 PIP_INDEX_URL=https://pypi.org/simple DB_GPT_INSTALL_MODEL=default PYTHONPATH=/app:

镜像标签

NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version

Docker拉取命令无权限下载?点我修复

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

Containerd拉取命令

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

Shell快速替换命令

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

镜像构建历史


# 2025-01-06 17:58:05  0.00B 设置默认要执行的命令
CMD ["dbgpt" "start" "webserver"]
                        
# 2025-01-06 17:58:05  0.00B 声明容器运行时监听的端口
EXPOSE map[5670/tcp:{}]
                        
# 2025-01-06 17:58:05  0.00B 设置环境变量 PYTHONPATH
ENV PYTHONPATH=/app:
                        
# 2025-01-06 17:58:05  0.00B 执行命令并创建新的镜像层
RUN |6 BASE_IMAGE=nvidia/cuda:12.1.0-runtime-ubuntu22.04 BUILD_LOCAL_CODE=false LANGUAGE=en PIP_INDEX_URL=https://pypi.org/simple DB_GPT_INSTALL_MODEL=default LOAD_EXAMPLES=true /bin/sh -c (if [ "${LANGUAGE}" = "zh" ];     then ln -sf /usr/share/zoneinfo/Asia/Shanghai /etc/localtime     && echo "Asia/Shanghai" > /etc/timezone;     fi;) # buildkit
                        
# 2025-01-06 17:58:05  40.96KB 执行命令并创建新的镜像层
RUN |6 BASE_IMAGE=nvidia/cuda:12.1.0-runtime-ubuntu22.04 BUILD_LOCAL_CODE=false LANGUAGE=en PIP_INDEX_URL=https://pypi.org/simple DB_GPT_INSTALL_MODEL=default LOAD_EXAMPLES=true /bin/sh -c (if [ "${LOAD_EXAMPLES}" = "true" ];     then mkdir -p /app/pilot/data && sqlite3 /app/pilot/data/default_sqlite.db < /app/docker/examples/sqls/case_1_student_manager_sqlite.sql     && sqlite3 /app/pilot/data/default_sqlite.db < /app/docker/examples/sqls/case_2_ecom_sqlite.sql     && sqlite3 /app/pilot/data/default_sqlite.db < /app/docker/examples/sqls/test_case_info_sqlite.sql;     fi;) # buildkit
                        
# 2025-01-06 17:58:05  0.00B 定义构建参数
ARG LOAD_EXAMPLES=true
                        
# 2025-01-06 17:58:05  337.66MB 复制新文件或目录到容器中
COPY . /app # buildkit
                        
# 2025-01-06 17:58:02  0.00B 定义构建参数
ARG BUILD_LOCAL_CODE=false
                        
# 2025-01-06 17:58:02  10.21GB 执行命令并创建新的镜像层
RUN |5 BASE_IMAGE=nvidia/cuda:12.1.0-runtime-ubuntu22.04 BUILD_LOCAL_CODE=false LANGUAGE=en PIP_INDEX_URL=https://pypi.org/simple DB_GPT_INSTALL_MODEL=default /bin/sh -c pip3 install --upgrade pip -i $PIP_INDEX_URL     && pip3 install -i $PIP_INDEX_URL ".[$DB_GPT_INSTALL_MODEL]"     && pip3 install -i $PIP_INDEX_URL ".[openai]" # buildkit
                        
# 2025-01-06 17:55:19  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2025-01-06 17:55:19  16.67KB 复制新文件或目录到容器中
COPY ./README.md /app/README.md # buildkit
                        
# 2025-01-06 17:55:19  27.36KB 复制新文件或目录到容器中
COPY ./setup.py /app/setup.py # buildkit
                        
# 2025-01-06 17:55:19  0.00B 执行命令并创建新的镜像层
RUN |5 BASE_IMAGE=nvidia/cuda:12.1.0-runtime-ubuntu22.04 BUILD_LOCAL_CODE=false LANGUAGE=en PIP_INDEX_URL=https://pypi.org/simple DB_GPT_INSTALL_MODEL=default /bin/sh -c mkdir -p /app # buildkit
                        
# 2025-01-06 17:55:18  0.00B 设置环境变量 DB_GPT_INSTALL_MODEL
ENV DB_GPT_INSTALL_MODEL=default
                        
# 2025-01-06 17:55:18  0.00B 定义构建参数
ARG DB_GPT_INSTALL_MODEL=default
                        
# 2025-01-06 17:55:18  0.00B 设置环境变量 PIP_INDEX_URL
ENV PIP_INDEX_URL=https://pypi.org/simple
                        
# 2025-01-06 17:55:18  0.00B 定义构建参数
ARG PIP_INDEX_URL=https://pypi.org/simple
                        
# 2025-01-06 17:55:18  0.00B 定义构建参数
ARG LANGUAGE=en
                        
# 2025-01-06 17:55:18  0.00B 定义构建参数
ARG BUILD_LOCAL_CODE=false
                        
# 2025-01-06 17:55:18  483.03MB 执行命令并创建新的镜像层
RUN |1 BASE_IMAGE=nvidia/cuda:12.1.0-runtime-ubuntu22.04 /bin/sh -c apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y git python3 pip     wget sqlite3 tzdata libpq-dev default-libmysqlclient-dev     && apt-get clean # buildkit
                        
# 2025-01-06 17:55:18  0.00B 定义构建参数
ARG BASE_IMAGE=nvidia/cuda:12.1.0-runtime-ubuntu22.04
                        
# 2023-11-10 13:49:20  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2023-11-10 13:49:20  0.00B 设置环境变量 NVIDIA_CUDA_END_OF_LIFE
ENV NVIDIA_CUDA_END_OF_LIFE=1
                        
# 2023-11-10 13:49:20  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2023-11-10 13:49:20  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2023-11-10 13:49:20  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2023-11-10 13:49:20  261.38KB 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
                        
# 2023-11-10 13:49:19  1.99GB 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-12-1=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-1=${NV_NVTX_VERSION}     libcusparse-12-1=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 13:49:19  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 13:49:19  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 13:49:19  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.1
                        
# 2023-11-10 13:49:19  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.17.1-1
                        
# 2023-11-10 13:49:19  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1
                        
# 2023-11-10 13:49:19  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2023-11-10 13:49:19  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.0.26-1
                        
# 2023-11-10 13:49:19  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.1.0.26-1
                        
# 2023-11-10 13:49:19  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1
                        
# 2023-11-10 13:49:19  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.0.2.55-1
                        
# 2023-11-10 13:49:19  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-1=12.0.2.50-1
                        
# 2023-11-10 13:49:19  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.0.2.50-1
                        
# 2023-11-10 13:49:19  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.1.66-1
                        
# 2023-11-10 13:49:19  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.1.0-1
                        
# 2023-11-10 13:44:29  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-11-10 13:44:29  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-11-10 13:44:29  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-11-10 13:44:29  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2023-11-10 13:44:29  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
                        
# 2023-11-10 13:44:29  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
                        
# 2023-11-10 13:44:29  149.59MB 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-12-1=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 13:44:18  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.1.0
                        
# 2023-11-10 13:44:18  10.56MB 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 -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.0-1_all.deb &&     dpkg -i cuda-keyring_1.0-1_all.deb &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 13:44:18  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 13:44:18  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 13:44:18  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1
                        
# 2023-11-10 13:44:18  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.1.55-1
                        
# 2023-11-10 13:44:18  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
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.1 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526
                        
# 2023-11-10 13:44:18  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2023-10-05 15:33:32  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-10-05 15:33:32  77.82MB 
/bin/sh -c #(nop) ADD file:63d5ab3ef0aab308c0e71cb67292c5467f60deafa9b0418cbb220affcd078444 in / 
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息

{
    "Id": "sha256:666a9ef1d840a45928c95f7d229b53af42289915b587d8259c98567c0694cd33",
    "RepoTags": [
        "eosphorosai/dbgpt:latest",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/eosphorosai/dbgpt:latest"
    ],
    "RepoDigests": [
        "eosphorosai/dbgpt@sha256:8ff0f4af280636033e711401a9f671baaa4a1e9c99f30f55737ee6417b5e13ac",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/eosphorosai/dbgpt@sha256:6b77ea4c6b5e60e03a34fd5d71c72af63a38d0c8aa62444a7ea73b121120ef72"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-01-06T09:58:05.527009337Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "5670/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/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\u003e=12.1 brand=tesla,driver\u003e=470,driver\u003c471 brand=unknown,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=geforce,driver\u003e=470,driver\u003c471 brand=geforcertx,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=titan,driver\u003e=470,driver\u003c471 brand=titanrtx,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=525,driver\u003c526 brand=unknown,driver\u003e=525,driver\u003c526 brand=nvidia,driver\u003e=525,driver\u003c526 brand=nvidiartx,driver\u003e=525,driver\u003c526 brand=geforce,driver\u003e=525,driver\u003c526 brand=geforcertx,driver\u003e=525,driver\u003c526 brand=quadro,driver\u003e=525,driver\u003c526 brand=quadrortx,driver\u003e=525,driver\u003c526 brand=titan,driver\u003e=525,driver\u003c526 brand=titanrtx,driver\u003e=525,driver\u003c526",
            "NV_CUDA_CUDART_VERSION=12.1.55-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1",
            "CUDA_VERSION=12.1.0",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=12.1.0-1",
            "NV_NVTX_VERSION=12.1.66-1",
            "NV_LIBNPP_VERSION=12.0.2.50-1",
            "NV_LIBNPP_PACKAGE=libnpp-12-1=12.0.2.50-1",
            "NV_LIBCUSPARSE_VERSION=12.0.2.55-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1",
            "NV_LIBCUBLAS_VERSION=12.1.0.26-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.0.26-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1",
            "NCCL_VERSION=2.17.1-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.1",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "NVIDIA_CUDA_END_OF_LIFE=1",
            "PIP_INDEX_URL=https://pypi.org/simple",
            "DB_GPT_INSTALL_MODEL=default",
            "PYTHONPATH=/app:"
        ],
        "Cmd": [
            "dbgpt",
            "start",
            "webserver"
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更多版本

docker.io/eosphorosai/dbgpt:v0.5.9

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docker.io/eosphorosai/dbgpt:latest

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