[slurm-users] Re: GPU usage in fair share factor

That is correct. You need to set the TRESBillingWeight to get billing for gpus.

-Paul Edmon-

On 12/10/2025 9:04 AM, Massimo Sgaravatto via slurm-users wrote:

Dear all

I have these settings in my slurm.conf:

PriorityType=priority/multifactor PriorityDecayHalfLife=7-0 PriorityFavorSmall=NO PriorityMaxAge=10-0 PriorityWeightAge=100000 PriorityWeightFairshare=1000000 PriorityWeightJobSize=100000 PriorityWeightPartition=100000 PriorityWeightQOS=100000 PriorityFlags=ACCRUE_ALWAYS,FAIR_TREE AccountingStorageTRES=gres/gpu,gres/gpu:nvidia-h100,gres/gpu:nvidia-l40s

If I have got it right, with these settings, when calculating the Job_priority (I am referring to the formula in https://slurm.schedmd.com/priority_multifactor.html) the fair-share_factor is calculated only considering cores*seconds. So if a job also used some GPUs, this is not taken into account. Am I right ?

If I want to take memory and GPUs into account as well (with different weights for different GPU models), my understanding is that I should use the TRESBillingWeights attribute, setting e.g:

TRESBillingWeights="CPU=1.0,Mem=0.25G,gres/gpu=nvidia-h100=10.0,gres/gpu=nvidia-l40s=5.0"

Is this correct ?

Thanks, Massimo