NVIDIA : Install Container Toolkit2025/10/02 |
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Install NVIDIA Container Toolkit to use GPU on your Computer from Containers. |
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| [3] | Install NVIDIA Container Toolkit. |
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root@dlp:~#
root@dlp:~# curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | gpg --dearmor -o /etc/apt/keyrings/nvidia-docker.key root@dlp:~# wget https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list -O /etc/apt/sources.list.d/nvidia-container-toolkit.list root@dlp:~# sed -i -e "s/^deb/deb \[signed-by=\/etc\/apt\/keyrings\/nvidia-docker.key\]/g" /etc/apt/sources.list.d/nvidia-container-toolkit.list
apt update root@dlp:~# apt -y install nvidia-container-toolkit root@dlp:~# systemctl restart docker |
| [4] | This is how to use [nvidia-smi] from Containers. |
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root@dlp:~# docker pull nvidia/cuda:12.4.1-cudnn-runtime-ubuntu22.04 root@dlp:~# docker images REPOSITORY TAG IMAGE ID CREATED SIZE nvidia/cuda 12.4.1-cudnn-runtime-ubuntu22.04 a029a877f7e3 17 months ago 3.32GBroot@dlp:~# docker run --gpus all nvidia/cuda:12.4.1-cudnn-runtime-ubuntu22.04 nvidia-smi ========== == CUDA == ========== CUDA Version 12.4.1 Container image Copyright (c) 2016-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved. This container image and its contents are governed by the NVIDIA Deep Learning Container License. By pulling and using the container, you accept the terms and conditions of this license: https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license A copy of this license is made available in this container at /NGC-DL-CONTAINER-LICENSE for your convenience. Wed Oct 1 05:02:21 2025 +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 550.163.01 Driver Version: 550.163.01 CUDA Version: 12.4 | |-----------------------------------------+------------------------+----------------------+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+========================+======================| | 0 NVIDIA GeForce RTX 3060 Off | 00000000:05:00.0 Off | N/A | | 0% 57C P8 11W / 170W | 2MiB / 12288MiB | 0% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ +-----------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=========================================================================================| | No running processes found | +-----------------------------------------------------------------------------------------+ # connect to the interactive session, then run [nvidia-smi] root@dlp:~# docker run --gpus all -it nvidia/cuda:12.4.1-cudnn-runtime-ubuntu22.04 /bin/bash root@d8dae0757b8b:/# nvidia-smi Wed Oct 1 05:04:01 2025 +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 550.163.01 Driver Version: 550.163.01 CUDA Version: 12.4 | |-----------------------------------------+------------------------+----------------------+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+========================+======================| | 0 NVIDIA GeForce RTX 3060 Off | 00000000:05:00.0 Off | N/A | | 0% 58C P8 11W / 170W | 2MiB / 12288MiB | 0% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ +-----------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=========================================================================================| | No running processes found | +-----------------------------------------------------------------------------------------+ |
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