Olivier Benz
@benz0li

I dedicate about 20% of my time to open-source software and maintain docker images as well as deployment templates for Data Science.

• (GPU accelerated) Multi-arch docker images[^1]:
  • (CUDA-enabled) JupyterLab R docker stack
  • (CUDA-enabled) JupyterLab Python docker stack
  • (CUDA-enabled) JupyterLab Julia docker stack
    All JupyterLab images include
    • code-server
      → VS Code in the browser
    • Git
    • Git LFS
    • Pandoc
    • Zsh
      GPU accelerated images include
    • CUDA runtime, CUDA math libraries, NCCL and cuDNN
      • including development libraries and headers
    • TensortRT and TensorRT plugin libraries
      • including development libraries and headers
  • (CUDA-enabled) R docker stack
  • (CUDA-enabled) Python docker stack
  • (CUDA-enabled) Julia docker stack
    Siblings[^2] of the JupyterLab images but without
    • code-server
    • IRKernel/IPython/IJulia
    • JupyterHub/JupyterLab
    • Jupyter Notebook
    • LSP Servers
    • Oh My Zsh
    • Widgets
      GPU accelerated images include
    • CUDA runtime, CUDA math libraries, NCCL and cuDNN
      • without development libraries and headers
    • TensortRT and TensorRT plugin libraries
      • without development libraries and headers
• Customised Docker Hub images[^1][^3]:
  • Julia
    • Julia releases: stable, LTS
  • Python
    • Python versions: latest, the last two older
  • Node.js
    • Node releases: current, active LTS, latest maintenance LTS
• Containerised source-installations[^1]:
  • R
  • Git
• Containerised installations[^1]:
  • Git LFS
• Docker deployment templates:
  • Træfik
  • GitLab CE
  • Jupyter

[^1]: Current os/arch's: linux/amd64, linux/arm64/v8
[^2]: Use cases (not exhaustive): Parent image, Dev container, CI pipeline
[^3]: Base images: Debian (slim): stable, oldstable; Ubuntu: current LTS, former LTS

These docker images and deployment templates are freely available. If they are of value to you, consider making a donation here. In this way, maintenance and extension can be ensured in the long term.

Thanks for your support!

Another 20% I devote to collaborating with start-ups. I am available to b-data GmbH as a Data Scientist, DevOps Engineer and Managing Director the remaining 60%.

I follow the development of

1. https://gitlab.haskell.org/ghc/ghc
   and
2. https://gitlab.alpinelinux.org/alpine/aports

in order to maintain GHC for pandoc (registry.gitlab.b-data.ch/ghc/ghc4pandoc).
→ The multi-arch docker image used to build the amd64 and arm64 binary releases of pandoc.

GitLab profile @b-data: https://gitlab.b-data.ch/benz0li