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Comment: new limits on GPU queues

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QoS nameTypeSuitable for...Shared nodes Maximum jobs per userDefault / Max Wall Clock LimitDefault / Max CPUsDefault / Max Memory
nffractionalserial and small parallel jobs. It is the defaultYes-average runtime + standard deviation / 2 days1 / 648 GB / 128 GB
niinteractiveserial and small parallel interactive jobsYes112 hours / 7 days1 / 328 GB / 32 GB
npparallelparallel jobs requiring more than half a nodeNo-average runtime  + standard deviation / 2 days-240GB / 240 GB per node (all usable memory in a node)

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groupecmwf

GPU special Partition

On the AC complex

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you will find dedicated queues for special partition with GPU-enabled nodes. See HPC2020: GPU usage for AI and Machine Learning for all the details on how to make use of those special resources.

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QoS nameTypeSuitable for...Shared nodes Maximum jobs per userMaximum nodes per userDefault / Max Wall Clock LimitDefault / Max CPUsDefault / Max Memory per node
ngGPUserial and small parallel jobs
. It is the default
with GPUYes-4average runtime + standard deviation / 2 days1 / -8 GB /  500 GB
dgGPUshort debug jobs requiring GPUYes12average runtime + standard deviation / 30 min1 / -8 GB /  500 GB


ECS

For those using ECS, these are the different QoS (or queues) available for standard users of this service:

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