Comments (5)
@ChristophSchranz quick Q: are you manually updating the dockerhub?
If so, we can discuss adding directives to
https://github.com/iot-salzburg/gpu-jupyter/blob/master/.github/workflows/main.yml
which perform that function automatically. If this is something you're interested in, open a new issue and I can help close it out. you'll just need to add your dockerhub token to the secrets of this repo.
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Tell me more. ;)
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Did you ever look into DockerHub?
EDIT: Yes you did, 4 months ago. Sorry for the spam, I should have noticed that! That's quite exciting.
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@TaylorHere can you please explain to me how I can access your tagged images?
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That would be great!
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Related Issues (20)
- v1.5_cuda-11.6_ubuntu-20.04_python-only NVML version mismatch, 1.4 works fine HOT 8
- Struggling to switch users and maintain full cuda support HOT 12
- cuda 11.7 version release request HOT 1
- provide token if no password is specified
- nvcc issue HOT 3
- Files are displayed empty after restart of the container HOT 1
- no 'latest' tag on docker hub HOT 1
- image build fails on Debian 11 when trying follow instructions to build for nvidia/cuda:12.1.0-base-ubuntu20.04 HOT 3
- Error when running your current image with host drivers cuda 12.1 : "Could not load dynamic library 'libnvinfer.so.7'" HOT 3
- jupyternbextension-not found HOT 9
- PyTorch 2 needs CUDA 11.7+ HOT 5
- How to add new packages into the image ? HOT 2
- Unable to change conda environment in kernel HOT 4
- Update CUDA to 11.8 HOT 17
- CUDA version incompatibility HOT 10
- TensorFlow throws missing libdevice errors
- Update to Jupyterlab 4.0.10 HOT 6
- Static Token HOT 1
- torch gpu problem HOT 3
- Upgrade to latest versions (e.g. CUDA 12.3) HOT 3
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