alkismavridis commented on issue #57487:
URL: https://github.com/apache/airflow/issues/57487#issuecomment-3461709202

   @wjddn279 sure a low parallelism is an option, but the downside is that (if 
I understand this correctly) that one cannot have more than 5 Tasks running 
simultaniously, right? This can be a serious limitation for us.
   Our processes can be very long running, which means they will occupy one of 
these 5 precious slots.
   
   On the other hand, these long running tasks require very low processing 
power and RAM (they are just SSH Operators). The hight memory consumption of 
the spawned processes (I assume and correct me if I am wrong) does not come 
from the SSH Operator itself but from all the stuff around it: python 
interpreter, module imports, setting up global state etc.
   
   I hope there is a way we can spare having to do this setup 32 times just to 
have 32 lightweight tasks running in parallel.


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