diff --git a/doc.zih.tu-dresden.de/docs/access/jupyterhub.md b/doc.zih.tu-dresden.de/docs/access/jupyterhub.md
index fad649cfcbda405c557d7fb900b6786edf4aed76..88c08e6bfab803869c0a4d0869f3d8bb9280eff9 100644
--- a/doc.zih.tu-dresden.de/docs/access/jupyterhub.md
+++ b/doc.zih.tu-dresden.de/docs/access/jupyterhub.md
@@ -26,71 +26,65 @@ case.
you need to apply for an HPC project.
JupyterHub is available at
-[https://taurus.hrsk.tu-dresden.de/jupyter](https://taurus.hrsk.tu-dresden.de/jupyter).
-
-## Start a Session
+[https://jupyterhub.hpc.tu-dresden.de](https://jupyterhub.hpc.tu-dresden.de).
-Start a new session by clicking on the `Start my server` button.
-
-A form opens up where you can customize your session. Our simple form
-offers you the most important settings to start quickly.
+Old taurus
+[https://taurus.hrsk.tu-dresden.de/jupyter](https://taurus.hrsk.tu-dresden.de/jupyter).
-
-{: align="center"}
+## Login page
-For advanced users, we have an extended form where you can change many settings. You can:
+At login page please use your ZIH credential (without @tu-dresden.de).
-- modify batch system parameters to your needs ([more about batch system Slurm](../jobs_and_resources/slurm.md))
-- assign your session to a project or reservation
-- load modules from the [module system](../software/modules.md)
-- choose a different standard environment (in preparation for future
- software updates or testing additional features)
+For example:
+Username: ddde223z
-
+
{: align="center"}
-You can save your own configurations as additional presets. Those are
-saved in your browser and are lost if you delete your browsing data. Use
-the import/export feature (available through the button) to save your
-presets in text files.
-
-!!! info
- The partition [alpha](https://doc.zih.tu-dresden.de/hpc-wiki/bin/view/Compendium/AlphaCentauri)
- is available only in the extended form.
-
-## Applications
-
-You can choose between JupyterLab or classic Jupyter notebooks as outlined in the following.
-
-=== "JupyterLab"
-
- 
- {: align="center"}
+## Start a Session
- The main workspace is used for multiple notebooks, consoles or
- terminals. Those documents are organized with tabs and a very versatile
- split screen feature. On the left side of the screen you can open
- several views:
+Start a new session by clicking on the `Start my server` button.
- - file manager
- - controller for running kernels and terminals
- - overview of commands and settings
- - details about selected notebook cell
- - list of open tabs
+### Standard Profiles
-=== "Classic Jupyter Notebook"
+Our simple form offers you the most important settings to start quickly.
- Initially, your home directory is listed. You can open existing notebooks or
- files by navigating to the corresponding path and clicking on them.
+
+{: align="center"}
+We have created three profiles for each Cluster, namely:
+
+| name | optimized for | specially recommended for |
+|----------------------------------------------|-----------------|---------------------------|
+| Alpha - 1 core, 1,5GB 1 hour | x86_64 (AMD) | python programming |
+| Alpha - 2 Core, 3GB, 4 Hours | x86_64 (AMD) | R programming |
+| Alpha - 4 Core, 8GB, 8 Hours | x86_64 (AMD) | |
+| Barnard 1 core, 1,5GB 1 hour | x86_64 (Intel) | python programming |
+| Barnard - 2 Core, 3GB, 4 Hours | x86_64 (Intel) | Julia and R programming |
+| Barnard - 4 Core, 8GB, 8 Hours | x86_64 (Intel) | |
+| Romeo - 1 core, 1,5GB 1 hour | x86_64 (AMD) | python programming |
+| Romeo - 2 Core, 3GB, 4 Hours | x86_64 (AMD) | R programming |
+| Romeo - 4 Core, 8GB, 8 Hours | x86_64 (AMD) | |
+| VIS - 2 Core, 4GB, 2 Hours | Visualization | ANSYS |
+| VIS - 4 Core, 8GB, 6 Hours | Visualization | ANSYS |
+
+## JupyterLab
+
+After your session it is spawned you will be redirected to JupyterLab. The main interface looks
+like as following:
+
+
+{: align="center"}
- 
- {: align="center"}
+The main workspace is used for multiple notebooks, consoles or
+terminals. Those documents are organized with tabs and a very versatile
+split screen feature. On the left side of the screen you can open
+several views:
- Above the table on the right side, there is the button `New` which lets you create new
- notebooks, files, directories or terminals.
-
- 
- {: align="center"}
+ - file manager
+ - controller for running kernels and terminals
+ - overview of commands and settings
+ - details about selected notebook cell
+ - list of open tabs
## Jupyter Notebooks in General
@@ -133,40 +127,12 @@ At first, you have to open the JupyterHub control panel.
{: align="center"}
-=== "Classic Jupyter notebook"
- Click on the control panel button on the top right of your screen.
-
- 
- {: align="center"}
-
- Now, you are back on the JupyterHub page and you can stop your server by clicking on
- 
- {: align="center"}
-
## Error Handling
We want to explain some errors that you might face sooner or later.
If you need help, open a ticket and ask for support as described in
[How to Ask for Support](../support/support.md).
-### Error at Session Start
-
-
-{: align="center"}
-
-This message appears instantly, if your batch system parameters are not valid.
-Please check those settings against the available hardware.
-Useful pages for valid batch system parameters:
-
-- [General information how to use Slurm](../jobs_and_resources/slurm.md)
-- [Partitions and limits](../jobs_and_resources/slurm_limits.md)
-
-!!! hint
- This message might also appear for other Slurm related problems, e.g. quota issues.
- That might be the case when the error appears for you but not for others while using the same
- system parameters. In this case, please ask for support as described in
- [How to Ask for Support](../support/support.md).
-
### Error Message in JupyterLab
@@ -176,79 +142,13 @@ If the connection to your notebook server unexpectedly breaks, you will get this
error message. Sometimes your notebook server might hit a batch system or
hardware limit and gets killed. Then, the log file of the corresponding
batch job usually contains useful information. These log files are located in your
-home directory and have the name `jupyter-session-<jobid>.log`.
+home directory and have the name `jupyterhub-<clustername>.log`.
## Advanced Tips
-### Standard Environments
-
-The default Python kernel uses conda environments based on the
-[Watson Machine Learning Community Edition (formerly PowerAI)](https://developer.ibm.com/linuxonpower/deep-learning-powerai/)
-package suite. You can open a list with all included python-packages that
-are available within the standard environment through the spawner form:
-
-
-{: align="center"}
-
-This list shows all packages of the currently selected conda environment. This
-depends on your settings for partition (CPU architecture) and standard
-environment.
-
-We have a number of standard environments, namely:
-
-| name | optimized for | specially recommended for | Modenv | Partitions |
-|------------------------------------------------------------|-----------------|---------------------------|-------------------------|----------------------------------------------------------------------------|
-| foss-2020b | x86_64, ppc64le | | modenv/hiera, modenv/ml | `romeo`, `alpha`, `ml` |
-| fosscuda-2019b | GPUs | | modenv/hiera, modenv/ml | `romeo`, `alpha`, `ml` |
-| fosscuda-2020b | GPUs | | modenv/hiera, modenv/ml | `romeo`, `alpha`, `ml` |
-| gcccore-10.3.0_python-3.9.5_matlab-2021b | x86_64 | MATLAB | modenv/hiera | `romeo`, `alpha` |
-| hiera_gcccore-10.2.0_python-3.8.6 | x86_64 (AMD) | | modenv/hiera | `romeo`, `alpha` |
-| hiera_gcccore-10.3.0_python-3.9.5_matlab-2021b | x86_64 (AMD) | MATLAB | modenv/hiera | `romeo`, `alpha` |
-| hiera_gcccore-10.3.0_python-3.9.5_r-4.1.0_rstudio-1.4.1717 | x86_64 (AMD) | RStudio | modenv/hiera | `romeo`, `alpha` |
-| **production** | x86_64, ppc64le | | modenv/scs5, modenv/ml | `default`, `haswell`, `interactive`, `gpu2`, `hpdlf`, `dcv`, `julia`, `ml` |
-| scs5_gcccore-10.2.0_python-3.8.6 | x86_64 (Intel) | | modenv/scs5 | `default`, `haswell`, `interactive`, `gpu2`, `hpdlf`, `dcv`, `julia` |
-| scs5_gcccore-10.3.0_python-3.9.5_matlab-2021b | x86_64 (Intel) | MATLAB | modenv/scs5 | `default`, `haswell`, `interactive`, `gpu2`, `hpdlf`, `dcv`, `julia` |
-| scs5_gcccore-8.3.0_python-3.7.4 | x86_64 (Intel) | | modenv/scs5 | `default`, `haswell`, `interactive`, `gpu2`, `hpdlf`, `dcv`, `julia` |
-
-<p style="font-size: 80%;">Actually 'romeo', 'alpha' and 'ml' refer to their respective interactive
-partitions 'romeo-interactive', 'alpha-interactive', 'ml-interactive' to reduce job queue waiting time.</p>
-
-The standard environments in Jupyter are also closely related to the available
-[Module Environments](../software/modules.md#module-environments).
-
-With these **standard environments**, we have tried to integrate a set of compatible software:
-
-=== "production"
-
- In this environment, we provide DCV and WebVNC access.
-
- You can load more software using our module system,
- by selecting these through the option ['Preload modules (module load)'](#loading-modules).
-
-=== "...matlab"
-
- We integrated MATLAB into it, such that you can use it in your browser.
-
- You can load more software using our module system,
- by selecting these through the option ['Preload modules (module load)'](#loading-modules).
-
-=== "...rstudio"
-
- We integrated R & RStudio into it, such that you can use it in your browser.
- Please click on RStudio's Icon for it, when you are in the JupyterHub overview.
-
-=== "fosscuda-2020b"
-
- Can be utilized with the partitions `gpu2`, `alpha` and `ml`.
- It's specially geared towards GPU support.
-
### Loading Modules
-You have now the option to preload modules from the [module system](../software/modules.md).
-Select multiple modules that will be preloaded before your notebook server
-starts. The list of available modules depends on the module environment you want
-to start the session in (`scs5`, `hiera` or `ml`). The right module environment will be
-chosen by your selected partition.
+Inside your terminal session you can load modules from the [module system](../software/modules.md).
### Custom Kernels
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