I will admit I have never tried to bill on a mixed way like this for gpu. I have you tried doing gres/gpu:nvidia-l40s=10.0 I think the extra = is throwing things off.

-Paul Edmon-

Thanks a lot, but I am unable to set different weights for different partitions.

I tried with:

PartitionName=DEFAULT TRESBillingWeights="CPU=1.0,Mem=0.25G,gres/gpu=nvidia-h100=20.0,gres/gpu=nvidia-l40s=10.0"

but:

 [2025-12-12T14:59:14.741] error: Invalid unit type 'n'. Possible options are 'KMGTP' 

[2025-12-12T14:59:14.741] fatal: failed to parse tres weights str 'CPU=1.0,Mem=0.25G,gres/gpu=nvidia-h100=20.0,gres/gpu=nvidia-l40s=10.0'

while:

PartitionName=DEFAULT TRESBillingWeights="CPU=1.0,Mem=0.25G,gres/gpu=20"

works (or at least it is accepted)

Thanks, Massimo

On Wed, Dec 10, 2025 at 3:40 PM Paul Edmon via slurm-users <slurm-users@lists.schedmd.com> wrote:

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
>

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