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Hi Team! Is There A Way To Make Clearml’S Aws Autoscaler And Queues Resource-Aware Please? I.E. If We Can Say, As We Enqueue Our Job, How Much Ram Or Gpu-Ram Or Even Gpus It Needs, Have The Scheduler/Autoscaler Dispatch The Job To Instances That Are Of Th
because a pipeline is composed of multiple tasks, different tasks in the pipeline could run on different machines.
Yes!
. Or more specifically, they could run on different queues, and as you said, in your other response, we could have a Q for smaller CPU-based instances, and another queue larger GPU-based instances.
Exactly !
I like the idea of having a queue dedicated to CPU-based instances that has multiple agents running on it simultaneously. Like maybe four agents.
This is supported.
Do you happen to know if using that script? There is a straightforward way to provide a user-data.sh script?
Yes, this is part of the configuration (there is a CLI based wizard, so should be relatively easy)
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one year ago
one year ago