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Update info about images by b-data (#2330)

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Olivier Benz
2025-09-23 12:08:20 +02:00
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@@ -338,7 +338,7 @@ See the [contributing guide](../contributing/stacks.md) for information about ho
| [GPU-Jupyter][gpu] | Power of your NVIDIA GPU and GPU calculations using Tensorflow and Pytorch in collaborative notebooks. This is done by generating a Dockerfile that consists of the **nvidia/cuda** base image, the well-maintained **docker-stacks** that is integrated as a submodule, and GPU-able libraries like **Tensorflow**, **Keras** and **PyTorch** on top of it. |
| [myLab TH Lübeck Images][gpu_thl] | Images based on the **jupyter/docker-stacks**, built and maintained at the [myLab TH Lübeck][gpu_mylab] using build scripts similar to iot-salzburg. Several images include GPU libraries. |
| [PRP-GPU][prp_gpu] | PRP (Pacific Research Platform) maintained [registry][prp_reg] for jupyter stack based on NVIDIA CUDA-enabled image. Added the PRP image with Pytorch and some other Python packages and GUI Desktop notebook based on <https://github.com/jupyterhub/jupyter-remote-desktop-proxy>. |
| [b-data][b-data] | GPU accelerated, multi-arch (`linux/amd64`, `linux/arm64/v8`) docker images for [R][r_cuda], [Python][python_cuda] and [Julia][julia_cuda]. Derived from nvidia/cuda `devel`-flavored images, including TensortRT and TensorRT plugin libraries. With [code-server][code-server] next to JupyterLab. Just Python – no [Conda][conda]/[Mamba][mamba]. |
| [b-data][b-data] | GPU accelerated, multi-arch (`linux/amd64`, `linux/arm64/v8`) Docker images for [R][r_cuda], [Python][python_cuda] , [MAX][max_cuda] and [Julia][julia_cuda]. Derived from nvidia/cuda `devel`-flavored images. With [code-server][code-server] next to JupyterLab. Just Python – no [Conda][conda] / [Mamba][mamba]. |
[gpu]: https://github.com/iot-salzburg/gpu-jupyter
[gpu_thl]: https://hub.docker.com/r/hanseware/jlab-images
@@ -348,6 +348,7 @@ See the [contributing guide](../contributing/stacks.md) for information about ho
[b-data]: https://github.com/b-data
[r_cuda]: https://github.com/b-data/jupyterlab-r-docker-stack/blob/main/CUDA.md
[python_cuda]: https://github.com/b-data/jupyterlab-python-docker-stack/blob/main/CUDA.md
[max_cuda]: https://github.com/b-data/jupyterlab-mojo-docker-stack/blob/main/CUDA.md
[julia_cuda]: https://github.com/b-data/jupyterlab-julia-docker-stack/blob/main/CUDA.md
[code-server]: https://github.com/coder/code-server
[conda]: https://github.com/conda/conda