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Hi All, Is There A Way To Schedule The Tasks From The Queue Onto The Gpu Instances Based On Factors Such As Gpu Utilisation, Number Of Cpu Cores Present, Free Memory Or Custom Parameters Such As Priority Of The Task, Estimated Time Etc?
I am trying to see if the user can submit a list of resource requirements (e.g 4GPUs, 12 cores, 100GB diskspace) for the task when queuing the task and the agents pick these tasks if they have the requested resources. With this, the user need not think about which queue to send the task to. The users just state what they need and the agents do the scheduling for them.
Can I assume we are talking Kubernetes under the hood for the resource allocation ?
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3 years ago
one year ago