This is doen via clearml-agent this is the second link I provided - None

No, resource configuration allows you higher level of control over different resources - None

I suggest you review the agent setup & deployment docs - None

Then you can view all the connected nodes through the orchestration tab - None

I'm using at the moment 2 GCP instance:

1. for clearm-server
2. for gpu-cluster (A100 with 8 GPUs)

None

In the OS you can create queues and manage your clusters through that

the agent should be installed in the remote resource right?

In that case then yes, install the agent on top of the machine with the A100 with 8 GPUs

how?

it shouldn't happen through the resource configurations tab?

Assuming you have bare metal machines, yes. You can also install it on top of K8s. Are you using bare metal machines on prem?

many thanks!!

thanks @<1523701070390366208:profile|CostlyOstrich36> ! so can you refer me to the documentation the describe how to connect my GPU cluster into the clearML-server?

Happy to help 🙂

I suggest watching this short video to get a better idea on how the agent works - None

so in the open source version I can't create queues, manage all GPU clusters?

Hi @<1798162812862730240:profile|PreciousCentipede43> , role based access controls, admins and resource configurations are all part of the Scale/Enterprise licenses. In the open source everyone is set as an admin with access to all parts of the system.

Hope this helps 🙂