1.设置包存储库和 GPG 密钥: distribution=$(. /etc/os-release;echo$ID$VERSION_ID)\&&curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey|sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg\&&curl -s -L https://nvidia.github.io/libnvidia-container/...
依赖于 libnvidia-container1 nvidia-container-toolkit-base_1.14.1-1_amd64.deb # 基础组件包,依赖于前面的包 nvidia-container-toolkit_1.14.1-1_amd64.deb # 主要的工具包,依赖于以上所有包 libnvidia-container1-dbg_1.14.1-1_amd
首先,添加 NVIDIA Container Toolkit 的仓库密钥和源列表: curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \ && curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container...
安装并重启docker $ sudo apt update && sudo apt install -y nvidia-container-toolkit $ sudo systemctl restart docker 使用 在官方CUDA镜像上测试 nvidia-smi $ sudo docker run --gpus all nvidia/cuda:9.0-base nvidia-smi 启动支持双GPU的容器 $ sudo docker run --gpus 2 nvidia/cuda:9.0-base nvidi...
$ sudo apt-get update && sudo apt-get install -y nvidia-container-toolkit $ sudo systemctl restart docker 1. 2. 3. 4. 5. 6. 7. 2)测试: 现在可以测试了,以下是在一台4卡1080TI机器上的测试结果,宿主机CUDA版本为9.2: docker run --gpus all nvidia/cuda:9.0-base nvidia-smi ...
为了在docker中支持GPU,NVidia之前是弄了个nvidia-docker2,现在升级为NVIDIA Container Toolkit了。官方说法是"Usage of nvidia-docker2 packages are deprecated since NVIDIA GPUs are now natively supported as devices in the Docker runtime"。 安装环境 ...
执行命令 #需要先安装container1sudo dpkg -i ./libnvidia-container1_1.9.0-1_amd64.deb#再安装libnvidia-container-toolssudo dpkg -i ./libnvidia-container-tools_1.9.0-1_amd64.deb#最后安装nvidia-container-toolkitsudo dpkg -i ./nvidia-container-toolkit_1.9.0-1_amd64.deb ...
Getting dependency error: Processing Dependency: nvidia-container-toolkit >= 1.1.0 for package: nvidia-container-runtime-3.2.0-1.x86_64 nvidia-container-toolkit >= 1.1.0 is not available in nvidia pkg repo. OS NAME="Amazon Linux" VERSION...
描述:NVIDIA Container Toolkit(容器工具包)使用户能够构建和运行 GPU 加速的容器,该工具包括一个容器运行时库和实用程序,用于自动配置容器以利用 NVIDIA GPU。 项目地址:https://github.com/NVIDIA/nvidia-container-toolkit NVIDIA 容器工具包层级架构图:
Install the NVIDIA Container Toolkit packages: $sudo apt-get install -y nvidia-container-toolkit Installing with Yum or Dnf Configure the production repository: $curl -s -L https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo|\sudo tee /etc/yum.repos.d/nvid...