From c9ba063d51446eafa62dfc3913bbe25c5886fade Mon Sep 17 00:00:00 2001 From: Ayaz Salikhov Date: Thu, 9 Feb 2023 14:09:50 +0400 Subject: [PATCH] Update selecting.md --- docs/using/selecting.md | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/docs/using/selecting.md b/docs/using/selecting.md index 3b51beee..5467cfd5 100644 --- a/docs/using/selecting.md +++ b/docs/using/selecting.md @@ -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 . | -| [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