Serge's Services: Difference between revisions

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(testing new code block)
(updated code blocks)
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<syntaxhighlight lang="bash">
<syntaxhighlight lang="bash">
ssh <username>@169.230.26.173
ssh <username>@169.230.26.173
(enter your password)
ssh cpu02
ssh cpu02 (can be a different cpu node, check nodes with sinfo.)
</syntaxhighlight>
</syntaxhighlight>
You can use a different node than cpu02. Discover nodes by using sinfo.


2. Navigate to the following folder:
2. Navigate to the following folder:


<code>
<syntaxhighlight lang="bash">
/nfs/home/sstrizhov/jupyter-hub
/nfs/home/sstrizhov/jupyter-hub
</code>
</syntaxhighlight>


3. Run the following script:
3. Run the following script:


<code>
<syntaxhighlight lang="bash">
./startup.sh
./startup.sh
</code>
</syntaxhighlight>


This should automatically build and get the docker container running for you at "https://cpu02:8888" unless 8888 as a socket is already in use.
This should automatically build and get the docker container running for you at "https://cpu02:8888" unless 8888 as a socket is already in use.

Revision as of 17:48, 2 September 2026

These are the services that I'm running as of September 2nd, 2026.

  • qsar - cluster2(epyc:4545)
  • datagrok - cluster2(epyc:8080)

How to start a service manually

Do this if you can't perform it through gitlab automation tools or if the tools don't exist yet.

Jupyter-Hub

1. Log into cluster 7 (login01) and SSH into a cpu node:

ssh <username>@169.230.26.173
ssh cpu02

You can use a different node than cpu02. Discover nodes by using sinfo.

2. Navigate to the following folder:

/nfs/home/sstrizhov/jupyter-hub

3. Run the following script:

./startup.sh

This should automatically build and get the docker container running for you at "https://cpu02:8888" unless 8888 as a socket is already in use.


cdk/depict