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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
Thanks @<1523701070390366208:profile|CostlyOstrich36> !
- I hadn’t found the multiple-resources within the same autoscaler. Could you point me to the right place please? Are they all used interexchangeably based upon availability, rather than based on job needs?
- We thought of using separate queues (we do that for CPU vs GPU queues), but having ClearML automatically dispatch to the right based on a job specification would be more flexible. (for example, we could then think to dispath dynamically to the right instance type based on the hyperparameters we’re searching)
- It also becomes much simpler when we start to mix single-GPU and multi-GPU jobs into the same queue.
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one year ago
one year ago