Base images with CUDA, cuDNN, and Miniconda installed. Plus optional Anaconda and PyTorch.
2.6K
The readme here may be outdated. Consider checking the original GitHub Repo.
CUDA Docker environment is supported by Ubuntu nvidia cuda toolkit. Instruction: CUDA and cuDNN Install | Pop!_OS.
This docker file is used for Ubuntu 22.04 LTS, CUDA version 11.8. You may change the base system and the CUDA version listed here: nvidia/cuda | Docker Hub.
The images with Anaconda automatically run a jupyter notebook on port 8888. Working directory: /work/project
docker run --detach \
--name conda-cuda \
--restart unless-stopped \
--runtime=nvidia \
--gpus all \
-p 8888:8888 \
-v project:/work/project \
muhac/conda-cuda:torch
You can use this notebook to check your PyTorch GPU environment.
Content type
Image
Digest
sha256:4c99adfbc…
Size
9.3 GB
Last updated
almost 2 years ago
docker pull muhac/conda-cuda