cuda can be installed in docker; upload the downloaded software package to the specified directory and execute "sudo sh cuda_downloaded version_linux.run" to install it. cuda is the operation exited by the graphics card manufacturer NVIDIA Platform, after the installation is complete, you can use "nvidia-smi" to view the installed cuda version.
The operating environment of this tutorial: linux7.3 system, docker version 19.03, Dell G3 computer.
docker can install cuda
CUDA (Compute Unified Device Architecture) is a computing platform launched by graphics card manufacturer NVIDIA. CUDA is a general-purpose parallel computing architecture introduced by NVIDIA that enables GPUs to solve complex computing problems. It includes the CUDA instruction set architecture (ISA) and the parallel computing engine inside the GPU. Developers can use C language to write programs for the CUDA™ architecture, and the written programs can run at ultra-high performance on CUDA™-enabled processors. CUDA3.0 has begun to support C and FORTRAN.
The example is as follows:
Installing cuda under docker_Ubuntu16.04
(1) Download the installation file. First go to NVIDIA official website to download the cuda installation package: https://developer.nvidia.com/cuda-toolkit-archive
(2) Update the system driver
System Settings - Software and Updates - Additional Drivers - Update nvidia and intel
If there is a problem of looping into the system when updating the driver, please uninstall the driver first, and then use the installation method with the driver to solve the problem (panacea ).
How to uninstall the driver at this time: Since the graphical user interface (GUI) cannot be entered after logging in, we can enter the text user interface (TUI). In the login interface state, press Ctrl Alt f1 to enter the TUI Execute
sudo /usr/bin/nvidia-uninstall
and then restart
sudo reboot
(3) cuda installation
After uploading the downloaded software package to the directory you defined, execute the following command
sudo sh cuda_9.0.176_384.81_linux.run
Then Use the corner of a book to hold down the Enter key until the Terms of Service display reaches 100%. Then follow the steps below to select
Accept
n (Do not install the driver)
y
y
- failed--compilation aborted at ./cuda-installer.pl line 5
sudo apt install freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libgl1-mesa-glx libglu1-mesa libglu1-mesa-dev libglfw3-dev libgles2-mesa-dev(4) Set environment variables Open the main Add the following path to the .bashrc file in the directory. For example, my .bashrc file is under /home/wangyuanwei. If it is not found, press the Ctrl H key to display the hidden file.
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-9.0/lib64 export PATH=$PATH:/usr/local/cuda-9.0/bin export CUDA_HOME=$CUDA_HOME:/usr/local/cuda-9.0
然后在终端运行: cat /usr/local/cuda/version.txtRecommended learning: «
docker Video Tutorial
»The above is the detailed content of Can docker install cuda?. For more information, please follow other related articles on the PHP Chinese website!

The core concept of Docker architecture is containers and mirrors: 1. Mirrors are the blueprint of containers, including applications and their dependencies. 2. Containers are running instances of images and are created based on images. 3. The mirror consists of multiple read-only layers, and the writable layer is added when the container is running. 4. Implement resource isolation and management through Linux namespace and control groups.

Docker simplifies the construction, deployment and operation of applications through containerization technology. 1) Docker is an open source platform that uses container technology to package applications and their dependencies to ensure cross-environment consistency. 2) Mirrors and containers are the core of Docker. The mirror is the executable package of the application and the container is the running instance of the image. 3) Basic usage of Docker is like running an Nginx server, and advanced usage is like using DockerCompose to manage multi-container applications. 4) Common errors include image download failure and container startup failure, and debugging skills include viewing logs and checking ports. 5) Performance optimization and best practices include mirror optimization, resource management and security improvement.

The steps to deploy containerized applications using Kubernetes and Docker include: 1. Build a Docker image, define the application image using Dockerfile and push it to DockerHub. 2. Create Deployment and Service in Kubernetes to manage and expose applications. 3. Use HorizontalPodAutoscaler to achieve dynamic scaling. 4. Debug common problems through kubectl command. 5. Optimize performance, define resource limitations and requests, and manage configurations using Helm.

Docker is an open source platform for developing, packaging and running applications, and through containerization technology, solving the consistency of applications in different environments. 1. Build the image: Define the application environment and dependencies through the Dockerfile and build it using the dockerbuild command. 2. Run the container: Use the dockerrun command to start the container from the mirror. 3. Manage containers: manage container life cycle through dockerps, dockerstop, dockerrm and other commands.

How to build portable applications with Docker and Linux? First, use Dockerfile to containerize the application, and then manage and deploy the container in a Linux environment. 1) Write a Dockerfile and package the application and its dependencies into a mirror. 2) Build and run containers on Linux using dockerbuild and dockerrun commands. 3) Manage multi-container applications through DockerCompose and define service dependencies. 4) Optimize the image size and resource configuration, enhance security, and improve application performance and portability.

Docker and Kubernetes improve application deployment and management efficiency through container orchestration. 1.Docker builds images through Dockerfile and runs containers to ensure application consistency. 2. Kubernetes manages containers through Pod, Deployment and Service to achieve automated deployment and expansion.

Docker and Kubernetes are leaders in containerization and orchestration. Docker focuses on container lifecycle management and is suitable for small projects; Kubernetes is good at container orchestration and is suitable for large-scale production environments. The combination of the two can improve development and deployment efficiency.

Docker and Linux are perfect matches because they can simplify the development and deployment of applications. 1) Docker uses Linux's namespaces and cgroups to implement container isolation and resource management. 2) Docker containers are more efficient than virtual machines, have faster startup speeds, and the mirrored hierarchical structure is easy to build and distribute. 3) On Linux, the installation and use of Docker is very simple, with only a few commands. 4) Through DockerCompose, you can easily manage and deploy multi-container applications.


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

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

Zend Studio 13.0.1
Powerful PHP integrated development environment

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

Notepad++7.3.1
Easy-to-use and free code editor

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft
