NVIDIA : Install Container Toolkit2023/07/14 |
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Install NVIDIA Container Toolkit to use GPU on your Computer from Containers.
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| [2] | |
| [3] | Install NVIDIA Container Toolkit. |
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root@dlp:~#
root@dlp:~# curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey > /etc/apt/keyrings/nvidia-docker.key root@dlp:~# curl -s -L https://nvidia.github.io/nvidia-docker/debian11/nvidia-docker.list > /etc/apt/sources.list.d/nvidia-docker.list root@dlp:~# sed -i -e "s/^deb/deb \[signed-by=\/etc\/apt\/keyrings\/nvidia-docker.key\]/g" /etc/apt/sources.list.d/nvidia-docker.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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# pull Cuda 12.1 image and run [nvidia-smi] root@dlp:~# docker run --gpus all nvidia/cuda:12.1.1-runtime-ubuntu22.04 nvidia-smi ========== == CUDA == ========== CUDA Version 12.1.1 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. Fri Jul 14 07:04:37 2023 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 525.105.17 Driver Version: 525.105.17 CUDA Version: 12.1 | |-------------------------------+----------------------+----------------------+ | 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 ... On | 00000000:05:00.0 Off | N/A | | 0% 49C P8 6W / 120W | 1MiB / 6144MiB | 0% Default | | | | N/A | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | No running processes found | +-----------------------------------------------------------------------------+ # pull Cuda 11.8 image and connect to the interactive session, then run [nvidia-smi] root@dlp:~# docker run --gpus all -it nvidia/cuda:11.8.0-runtime-ubuntu22.04 /bin/bash root@811c15909563:/# nvidia-smi
Fri Jul 14 07:08:41 2023
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 525.105.17 Driver Version: 525.105.17 CUDA Version: 12.0 |
|-------------------------------+----------------------+----------------------+
| 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 ... On | 00000000:05:00.0 Off | N/A |
| 0% 48C P8 6W / 120W | 1MiB / 6144MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
root@811c15909563:/# exit
root@dlp:~# docker images REPOSITORY TAG IMAGE ID CREATED SIZE nvidia/cuda 11.8.0-runtime-ubuntu22.04 af0cef3d3ee9 3 weeks ago 2.65GB nvidia/cuda 12.1.1-runtime-ubuntu22.04 9b0ef067f6b4 3 weeks ago 2.24GB |
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