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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?

Can I assume we are talking Kubernetes under the hood for the resource allocation?


The granularity offered by K8s (and as you specified) is sometimes way too detailed for a user, for example I know I want 4 GPUs but 100GB disk-space, no idea, just give me 3 levels to choose from (if any, actually I would prefer a default that is large enough, since this is by definition for temp cache only), and the same argument for number of CPUs..

While i agree that over-detailing makes user experience more cumbersome, I’d want to leave it to the user to choose the level of granularity and set the rest of the parameters to default values or not part of the scheduling considerations. For. example, a user might have a task that has some CPU-intensive things and want to be able to choose the right set of resources.

Posted 3 years ago
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