Hello Michael, I can not get access to CUDA_MPS_PIPE_DIRECTORY o_digeroni@sx138:1194145 $ nvidia-cuda-mps-control -d Warning: Failed writing log files to directory [/var/log/nvidia-mps]. No logs will be available. Cannot access CUDA_MPS_PIPE_DIRECTORY=/run/mps/control Even thougt I do: export CUDA_MPS_PIPE_DIRECTORY=/run/mps/ Thanks, Br ________________________________ From: Fladischer, Michael Sent: 31 July 2023 12:46:56 To: Di Geronimo Quintero, Bruno; Trajanoski, Slave; medbionode(a)lists.medunigraz.at Subject: AW: slurm configuration issue solved nvidia-smi is now again available in the global $PATH. ________________________________________ Von: Di Geronimo Quintero, Bruno &lt;bruno.digeronimo(a)medunigraz.at&gt; Gesendet: Montag, 31. Juli 2023 12:35 An: Trajanoski, Slave; medbionode(a)lists.medunigraz.at Betreff: [Medbionode] Re: slurm configuration issue solved Hello Slave, Thanks for the update. I guess that GPUs from node sx138 are not yet available. If I log to the node I can not monitor them via nvidia-smi neither run jobs: o_digeroni@sx138:2233 $ nvidia-smi -bash: nvidia-smi: command not found sx138 2023-07-31T12:32:38 CEST cudaGetDeviceCount failed unknown error I do not know if someone else is facing same issue. Thanks in advances for the efforts. Br ________________________________ From: Trajanoski, Slave &lt;slave.trajanoski(a)medunigraz.at&gt; Sent: 31 July 2023 11:31:39 To: medbionode(a)lists.medunigraz.at Subject: [Medbionode] slurm configuration issue solved Dear MedBioNode users, I have good news for you. IT department managed to solve the slurm configuration issue and sbatch is working normally again. Regards, Slave -- Slave Trajanoski, Phd Senior Scientist Bioinformatics CF Computational Bioanalytics, Center for medical research Medical University Graz Neue Stiftingtalstraße 6-West, Turm/Stiege:P, 4.Stock 8010 Graz Tel. +43 316 385 73024 E-Mail: slave.trajanoski@medunigraz.at<mailto:slave.trajanoski@medunigraz.at>