Docker supports GPU, and docker can use GPU through nvidia-docker2. Configure the runtime to use nvidia in the daemon.json file. After starting the container, run nvidia-smi to see all GPUs.
Introduction to the method of mounting GPU with docker:
Using nvidia-docker2
In short, using nvidia-docker2, you can use the GPU effortlessly, just You need to configure the runtime. After starting the container using nvidia
cat /etc/docker/daemon.json
{
"default-runtime": "nvidia",
"runtimes": {
"nvidia": {
"path": "/usr/bin/nvidia-container-runtime",
"runtimeArgs": []
}
},
"exec-opts": ["native.cgroupdriver=systemd"]
}, you can see all GPU cards by running nvidia-smi:
[root@localhost] docker run -it 98b41a1e975d bash root@6db1dd28459d:/notebooks# nvidia-smi +-----------------------------------------------------------------------------+ | NVIDIA-SMI 410.79 Driver Version: 410.79 CUDA Version: 10.0 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 Tesla V100-SXM2... On | 00000000:8A:00.0 Off | 0 | | N/A 40C P0 57W / 300W | 4053MiB / 16130MiB | 4% Default | +-------------------------------+----------------------+----------------------+ | 1 Tesla V100-SXM2... On | 00000000:8B:00.0 Off | 0 | | N/A 38C P0 40W / 300W | 0MiB / 16130MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 2 Tesla V100-SXM2... On | 00000000:8C:00.0 Off | 0 | | N/A 42C P0 46W / 300W | 0MiB / 16130MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 3 Tesla V100-SXM2... On | 00000000:8D:00.0 Off | 0 | | N/A 39C P0 40W / 300W | 0MiB / 16130MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 4 Tesla V100-SXM2... On | 00000000:B3:00.0 Off | 0 | | N/A 39C P0 42W / 300W | 0MiB / 16130MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 5 Tesla V100-SXM2... On | 00000000:B4:00.0 Off | 0 | | N/A 41C P0 57W / 300W | 7279MiB / 16130MiB | 4% Default | +-------------------------------+----------------------+----------------------+ | 6 Tesla V100-SXM2... On | 00000000:B5:00.0 Off | 0 | | N/A 40C P0 45W / 300W | 0MiB / 16130MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 7 Tesla V100-SXM2... On | 00000000:B6:00.0 Off | 0 | | N/A 41C P0 44W / 300W | 0MiB / 16130MiB | 0% Default | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| +-----------------------------------------------------------------------------+
You can add some libraries through NVIDIA_DRIVER_CAPABILITIES. Through NVIDIA_VISIBLE_DEVICES you can only use certain GPU cards
[root@localhost cuda-9.0]# docker run -it --env NVIDIA_DRIVER_CAPABILITIES="compute,utility" --env NVIDIA_VISIBLE_DEVICES=0,1 98b41a1e975d bash root@97bf127ff83a:/notebooks# nvidia-smi Tue Oct 15 09:29:45 2019 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 410.79 Driver Version: 410.79 CUDA Version: 10.0 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 Tesla V100-SXM2... On | 00000000:8A:00.0 Off | 0 | | N/A 39C P0 57W / 300W | 4053MiB / 16130MiB | 3% Default | +-------------------------------+----------------------+----------------------+ | 1 Tesla V100-SXM2... On | 00000000:8B:00.0 Off | 0 | | N/A 37C P0 40W / 300W | 0MiB / 16130MiB | 0% Default | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| +-----------------------------------------------------------------------------+
For more related tutorials, please pay attention to the docker tutorial column on the PHP Chinese website.
The above is the detailed content of Does docker support gpu?. For more information, please follow other related articles on the PHP Chinese website!
Docker: Containerizing Applications for Portability and ScalabilityApr 16, 2025 am 12:09 AMDocker is a Linux container technology-based tool used to package, distribute and run applications to improve application portability and scalability. 1) Dockerbuild and dockerrun commands can be used to build and run Docker containers. 2) DockerCompose is used to define and run multi-container Docker applications to simplify microservice management. 3) Using multi-stage construction can optimize the image size and improve the application startup speed. 4) Viewing container logs is an effective way to debug container problems.
How to start containers by dockerApr 15, 2025 pm 12:27 PMDocker container startup steps: Pull the container image: Run "docker pull [mirror name]". Create a container: Use "docker create [options] [mirror name] [commands and parameters]". Start the container: Execute "docker start [Container name or ID]". Check container status: Verify that the container is running with "docker ps".
How to view logs from dockerApr 15, 2025 pm 12:24 PMThe methods to view Docker logs include: using the docker logs command, for example: docker logs CONTAINER_NAME Use the docker exec command to run /bin/sh and view the log file, for example: docker exec -it CONTAINER_NAME /bin/sh ; cat /var/log/CONTAINER_NAME.log Use the docker-compose logs command of Docker Compose, for example: docker-compose -f docker-com
How to check the name of the docker containerApr 15, 2025 pm 12:21 PMYou can query the Docker container name by following the steps: List all containers (docker ps). Filter the container list (using the grep command). Gets the container name (located in the "NAMES" column).
How to create containers for dockerApr 15, 2025 pm 12:18 PMCreate a container in Docker: 1. Pull the image: docker pull [mirror name] 2. Create a container: docker run [Options] [mirror name] [Command] 3. Start the container: docker start [Container name]
How to exit the container by dockerApr 15, 2025 pm 12:15 PMFour ways to exit Docker container: Use Ctrl D in the container terminal Enter exit command in the container terminal Use docker stop <container_name> Command Use docker kill <container_name> command in the host terminal (force exit)
How to copy files in docker to outsideApr 15, 2025 pm 12:12 PMMethods for copying files to external hosts in Docker: Use the docker cp command: Execute docker cp [Options] <Container Path> <Host Path>. Using data volumes: Create a directory on the host, and use the -v parameter to mount the directory into the container when creating the container to achieve bidirectional file synchronization.
How to start mysql by dockerApr 15, 2025 pm 12:09 PMThe process of starting MySQL in Docker consists of the following steps: Pull the MySQL image to create and start the container, set the root user password, and map the port verification connection Create the database and the user grants all permissions to the database
Hot AI Tools
Undresser.AI Undress
AI-powered app for creating realistic nude photos
AI Clothes Remover
Online AI tool for removing clothes from photos.
Undress AI Tool
Undress images for free
Clothoff.io
AI clothes remover
AI Hentai Generator
Generate AI Hentai for free.
Hot Article
Hot Tools
Dreamweaver Mac version
Visual web development tools
PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool
SublimeText3 English version
Recommended: Win version, supports code prompts!
DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software
mPDF
mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),
