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README.md

Quick reference

CUDA | openEuler

Current CUDA docker images are built on the openEuler. This repository is free to use and exempted from per-user rate limits.

A heterogeneous computing platform for general-purpose parallel computing that provides layered APIs and high-level libraries to help you quickly build high-performance computing applications and AI services based on NVIDIA GPUs.

Learn more about on CUDA Document.

Supported tags and respective Dockerfile links

The tag of each cuda docker image is consist of the complete software stack version. The details are as follows

Tag Currently Architectures
11.8.0-cudnn8.9.0-oe2203lts CUDA 11.8.0 with cudnn 8.9.0 on openEuler 22.03-LTS arm64,amd64
13.0.0-oe2403lts CUDA 13.0.0 on openEuler 24.03-LTS arm64,amd64
13.0.0-python3.10-oe2403lts CUDA 13.0.0 with Python 3.10 on openEuler 24.03-LTS arm64,amd64

Usage

In this usage, users can select the corresponding {Tag} and container startup options based on their requirements.

  • Pull the openeuler/cudas image from docker

    docker pull openeuler/cuda:{Tag}
    
  • Start a cann instance

    docker run \
        --name my-cuda \
        --gpus all \
        -it openeuler/cuda:{Tag} bash
    
  • Container startup options

    Option Description
    --name my-cuda Names the container my-cuda.
    --gpus all The specified container can access all GPU devices, you can also specify a specific GPU, such as --gpus '"device=0,1"'
    -it Starts the container in interactive mode with a terminal (bash).
    openeuler/cuda:{Tag} Specifies the Docker image to run, replace {Tag} with the specific version or tag of the openeuler/cuda image you want to use.
  • View container running logs

    docker logs -f my-cuda
    
  • To get an interactive shell

    docker exec -it my-cuda /bin/bash
    

Question and answering

If you have any questions or want to use some special features, please submit an issue or a pull request on openeuler-docker-images.