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Update selecting.md

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Ayaz Salikhov
2023-02-09 14:09:50 +04:00
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@@ -34,7 +34,7 @@ It contains:
- [mamba](https://github.com/mamba-org/mamba): "reimplementation of the conda package manager in C++". We use this package manager by default when installing packages.
- Unprivileged user `jovyan` (`uid=1000`, configurable, [see options in the common features section](./common.md) of this documentation) in group `users` (`gid=100`)
with ownership over the `/home/jovyan` and `/opt/conda` paths
- `tini` as the container entrypoint
- `tini` as the container entry point
- A `start.sh` script as the default command - useful for running alternative commands in the container as applications are added (e.g. `ipython`, `jupyter kernelgateway`, `jupyter lab`)
- Options for a passwordless sudo
- No preinstalled scientific computing packages
@@ -51,7 +51,7 @@ and serves as the basis for all other stacks besides `jupyter/docker-stacks-foun
It contains:
- Everything in `jupyter/docker-stacks-foundation`
- Minimally-functional Jupyter Notebook server (e.g., no LaTeX support for saving notebooks as PDFs)
- Minimally functional Jupyter Notebook server (e.g., no LaTeX support for saving notebooks as PDFs)
- `notebook`, `jupyterhub` and `jupyterlab` packages
- A `start-notebook.sh` script as the default command
- A `start-singleuser.sh` script useful for launching containers in JupyterHub
@@ -167,7 +167,7 @@ It contains:
`jupyter/datascience-notebook` includes libraries for data analysis from the Julia, Python, and R
communities.
- Everything in the `jupyter/scipy-notebook` and `jupyter/r-notebook` images, and their ancestor
- Everything in the `jupyter/scipy-notebook` and `jupyter/r-notebook` images and their ancestor
images
- [rpy2](https://rpy2.github.io/doc/latest/html/index.html) package
- The [Julia](https://julialang.org/) compiler and base environment
@@ -228,7 +228,7 @@ Whenever a docker image is pushed to the container registry, it is tagged with:
```{warning}
- Tags before `2022-07-05` were sometimes incorrect. Please, do not rely on them.
- Single-platform images have either `aarch64` or `x86_64` tag prefixes, for example `jupyter/base-notebook:aarch64-python-3.10.5`
- Single-platform images have either `aarch64` or `x86_64` tag prefixes, for example, `jupyter/base-notebook:aarch64-python-3.10.5`
```
For stability and reproducibility, you should either reference a date formatted
@@ -279,13 +279,13 @@ See the [contributing guide](../contributing/stacks.md) for information about ho
[scraper]: https://github.com/rgriffogoes/scraper-notebook
[scraper_b]: https://mybinder.org/v2/gh/rgriffogoes/scraper-notebook/main
### GPU enabled notebooks
### GPU accelerated notebooks
| Flavor | Description |
| ------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| [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 submodule and GPU-able libraries like **Tensorflow**, **Keras** and **PyTorch** on top of it. |
| [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. |
| [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] 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]. |
[gpu]: https://github.com/iot-salzburg/gpu-jupyter
[prp_gpu]: https://gitlab.nrp-nautilus.io/prp/jupyter-stack/-/tree/prp