
如果你使用 DeepSeek、元宝 AI、Copilot、ChatGPT 等 AI 工具,协助配置轩辕镜像、编写 docker pull 命令、修改 Docker Compose 镜像地址、配置镜像加速、排查镜像拉取失败、分析报错日志等问题,请先让 AI 阅读并遵守轩辕镜像的规则文档。
只需在 AI 对话中先发送下面这句话即可:
请先完整阅读并严格遵守以下文档中的全部规则与要求:
https://xuanyuan.cloud/agents.md
在未充分阅读并理解该文档前,不要生成任何命令、配置、修改建议、故障排查方案或技术回答。后续所有输出都必须严格以该文档中的规范为最高优先级执行。查看 agents.md 用法指南与完整示范。国内用户首推 元宝 AI、DeepSeek 的深度思考模式,不推荐豆包 AI;Cursor 等编辑器可在对话 @ 该链接,或加入 User Rules。 若 AI 无法访问外链,可 打开说明文档 复制全文粘贴。文档会随站点更新,复制内容可能过期,建议定期检查。
This dockerfile installs NVIDIA CUDA toolkit, at version 12.9, on the top of https://github.com/pypa/manylinux docker image.
Obtain this docker image from https://hub.docker.com/r/sameli/manylinux_2_34_x86_64_cuda_12.9 by:
docker pull sameli/manylinux_2_34_x86_64_cuda_12.9
To run the container interactively:
docker run -it sameli/manylinux_2_34_x86_64_cuda_12.9
To access host's GPU device from the container, install Nvidia Container Toolkit as follows.
Add the package to the repository:
distribution=$(. /etc/os-release;echo $ID$VERSION_ID) curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add - curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list
Install nvidia-contaner-toolkit by:
sudo apt-get update && sudo apt-get install -y nvidia-container-toolkit
Restart docker to be able to use it:
sudo systemctl restart docker
To use host's GPU, add --gpus all to any of the docker commands given before, such as:
docker run --gpus all -it sameli/manylinux_2_34_x86_64_cuda_12.9
To check the host's Nvidia driver version, CUDA runtime library version, and list of available GPU devices, run nvida-smi command, such as by:
docker run --gpus all sameli/manylinux_2_34_x86_64_cuda_12.9 nvidia-smi
The following environment variables are defined:
PATH="/usr/local/cuda/bin:${PATH}"CUDA_HOME=/usr/local/cudaCUDA_ROOT=/usr/local/cudaCUDA_PATH=/usr/local/cudaCUDADIR=/usr/local/cudaLD_LIBRARY_PATH="/usr/local/cuda/lib64:${LD_LIBRARY_PATH}"The nvcc executable is available on the PATH. To check the CUDA version, run:
docker run -t sameli/manylinux_2_34_x86_64_cuda_12.9 nvcc --version
The output of the above command is:
nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2025 NVIDIA Corporation Built on Tue_May_27_02:21:03_PDT_2025 Cuda compilation tools, release 12.9, V12.9.86 Build cuda_12.9.r12.9/compiler.36037853_0
您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本,请访问 标签列表页面。
来自真实用户的反馈,见证轩辕镜像的优质服务