默认镜像
默认镜像
在初始化租户后以下镜像一般会默认添加到系统镜像中，开箱即用。 此外会定期更新最新的框架镜像，如果未能自动添加，您可以在[管理员后台→系统镜像]将以下新更新的镜像添加到您的系统镜像中去
NVIDIA GPU卡镜像：
| 镜像名称 | 镜像地址 | CUDA版本 |
|---|---|---|
| miniconda:cuda12.2-cudnn8-devel-ubuntu22.04-py310 | ccr.ccs.tencentyun.com/autodl-private-cloud/miniconda:cuda12.2-cudnn8-devel-ubuntu22.04-py310 | 12.2 |
| miniconda:cuda11.8-cudnn8-devel-ubuntu22.04-py310 | ccr.ccs.tencentyun.com/autodl-private-cloud/miniconda:cuda11.8-cudnn8-devel-ubuntu22.04-py310 | 11.8 |
| miniconda:cuda11.6-cudnn8-devel-ubuntu20.04-py38 | ccr.ccs.tencentyun.com/autodl-private-cloud/miniconda:cuda11.6-cudnn8-devel-ubuntu20.04-py38 | 11.6 |
| miniconda:cuda11.3-cudnn8-devel-ubuntu18.04-py38 | ccr.ccs.tencentyun.com/autodl-private-cloud/miniconda:cuda11.3-cudnn8-devel-ubuntu18.04-py38 | 11.3 |
| torch:cuda12.4-cudnn-devel-ubuntu22.04-py312-torch2.5.1 | ccr.ccs.tencentyun.com/autodl-private-cloud/torch:cuda12.4-cudnn-devel-ubuntu22.04-py312-torch2.5.1 | 12.4 |
| torch:cuda12.1-cudnn8-devel-ubuntu22.04-py312-torch2.3.0 | ccr.ccs.tencentyun.com/autodl-private-cloud/torch:cuda12.1-cudnn8-devel-ubuntu22.04-py312-torch2.3.0 | 12.1 |
| torch:cuda11.8-cudnn8-devel-ubuntu22.04-py310-torch2.1.2 | ccr.ccs.tencentyun.com/autodl-private-cloud/torch:cuda11.8-cudnn8-devel-ubuntu22.04-py310-torch2.1.2 | 11.8 |
| torch:cuda11.8-cudnn8-devel-ubuntu20.04-py38-torch2.0.0 | ccr.ccs.tencentyun.com/autodl-private-cloud/torch:cuda11.8-cudnn8-devel-ubuntu20.04-py38-torch2.0.0 | 11.8 |
| torch:cuda11.3-cudnn8-devel-ubuntu20.04-py38-torch1.11.0 | ccr.ccs.tencentyun.com/autodl-private-cloud/torch:cuda11.3-cudnn8-devel-ubuntu20.04-py38-torch1.11.0 | 11.3 |
| torch:cuda11.3-cudnn8-devel-ubuntu20.04-py38-torch1.10.0 | ccr.ccs.tencentyun.com/autodl-private-cloud/torch:cuda11.3-cudnn8-devel-ubuntu20.04-py38-torch1.10.0 | 11.3 |
| torch:cuda11.1-cudnn8-devel-ubuntu18.04-py38-torch1.9.0 | ccr.ccs.tencentyun.com/autodl-private-cloud/torch:cuda11.1-cudnn8-devel-ubuntu18.04-py38-torch1.9.0 | 11.1 |
| torch:cuda10.1-cudnn7-devel-ubuntu18.04-py38-torch1.5.1 | ccr.ccs.tencentyun.com/autodl-private-cloud/torch:cuda10.1-cudnn7-devel-ubuntu18.04-py38-torch1.5.1 | 10.1 |
| tensorflow:cuda11.2-cudnn8-devel-ubuntu20.04-py38-tf2.9.0 | ccr.ccs.tencentyun.com/autodl-private-cloud/tensorflow:cuda11.2-cudnn8-devel-ubuntu20.04-py38-tf2.9.0 | 11.2 |
| tensorflow:cuda11.2-cudnn8-devel-ubuntu18.04-py38-tf2.5.0 | ccr.ccs.tencentyun.com/autodl-private-cloud/tensorflow:cuda11.2-cudnn8-devel-ubuntu18.04-py38-tf2.5.0 | 11.2 |
| tensorflow:cuda11.4-py38-tf1.15.5 | ccr.ccs.tencentyun.com/autodl-private-cloud/tensorflow:cuda11.x-py38-tf1.15.5 | 11.4 |
华为昇腾NPU卡镜像：
| 镜像名称 | 镜像地址 | CANN版本 |
|---|---|---|
| arm64_cann8.0.0-ubuntu22.04-py310-torch2.1.0 | ccr.ccs.tencentyun.com/autodl-private-cloud/huawei:arm64_cann8.0.0-ubuntu22.04-py310-torch2.1.0 | 8.0.0 |
自定义镜像
在您制作的镜像基础上，对SSH服务和JupyterLab做部分适配或安装后，可录入到系统中作为系统镜像。JupyterLab如果未安装，使用时会导致无法使用JupyterLab，但不会导致实例无法正常启动
相关Dockerfile
# （必要）修改SSH配置
RUN mkdir -p /var/run/sshd && \
sed -ri 's/^PermitRootLogin\s+.*/PermitRootLogin yes/' /etc/ssh/sshd_config && \
cat /etc/ssh/ssh_config | grep -v StrictHostKeyChecking > /etc/ssh/ssh_config.new && \
echo " StrictHostKeyChecking no" >> /etc/ssh/ssh_config.new && \
mv /etc/ssh/ssh_config.new /etc/ssh/ssh_config
# （可选，但强烈推荐）安装Jupyterlab
RUN pip install --no-cache-dir --upgrade \
jupyterlab>=3.0.0 \
ipywidgets \
matplotlib \
jupyterlab_language_pack_zh_CN \
-i https://mirrors.aliyun.com/pypi/simple
# （可选）安装miniconda，如需其他版本：https://repo.anaconda.com/miniconda/
RUN cd /root && wget -q https://repo.anaconda.com/miniconda/Miniconda3-py38_4.10.3-Linux-x86_64.sh \
&& bash ./Miniconda3-py38_4.10.3-Linux-x86_64.sh -b -f -p /root/miniconda3 \
&& rm -f ./Miniconda3-py38_4.10.3-Linux-x86_64.sh \
&& echo "PATH=/root/miniconda3/bin:/usr/local/bin:$PATH" >> /etc/profile \
&& echo "source /etc/profile" >> /root/.bashrc \
&& echo "source /etc/autodl-motd" >> /root/.bashrc
# （可选）设置语言和时区
RUN export DEBIAN_FRONTEND=noninteractive && \
locale-gen zh_CN zh_CN.GB18030 zh_CN.GBK zh_CN.UTF-8 en_US.UTF-8 && \
update-locale && \
echo "LANG=en_US.UTF-8" >> /etc/profile && \
echo "LANGUAGE=en_US:en" >> /etc/profile && \
echo "LC_ALL=en_US.UTF-8" >> /etc/profile && \
cp -f /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && \
echo 'Asia/Shanghai' >/etc/timezone
附：免费镜像仓库
阿里云、腾讯云等均有免费的镜像仓库可用，可以注册相应账号后参考以下链接推送镜像