Dear Slave, Sorry for my late response, I was inquiring about it in the lab, and was waiting for feedback for some time. Overall, we are mostly using the GPUs, and there will be an increase in demand as we and others (Martin Urschler at the Institute of Medical Informatics) are increasingly moving into machine learning. As such, more GPUs would be welcome. Regarding CPUs, we are not using the MedBioNode for CPU computing. Here, either we use our workstations (<32 cores), or we go to the Vienna Scientific Cluster (>128 cores). For the segment in between, the extra effort of setting this up on the MedBioNode does not pay off. Moreover, the cluster is not low latency (infiniband or so), and as such scalability across nodes is limited. In short, more GPUs would be helpful - G Am 01.02.2024 um 15:42 schrieb Trajanoski, Slave &lt;slave.trajanoski(a)medunigraz.at&gt;at>: Dear MedBioNode user, it is planned in the next time to expand our HPC infrastructure and therewith to provide more CPU and GPU performance for jobs execution. To proper plan cluster growth it is very critical to evaluate your needs, as well as expected amount of future CPU based or GPU based data analysis tasks. Therefore provide us information about bottlenecks that you currently experience in using MedBioNode. Also it will be very helpful if you can already estimate calculation capacity separately CPU or GPU for your data analysis for this year. If you have some questions, or you’re uncertain how to provide this information contact me to assist you. Thanks very much in advance for your cooperation. Best 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> _______________________________________________ Medbionode mailing list -- medbionode@lists.medunigraz.at<mailto:medbionode@lists.medunigraz.at> To unsubscribe send an email to medbionode-leave@lists.medunigraz.at<mailto:medbionode-leave@lists.medunigraz.at> -- Gernot Plank, PhD Professor of Computational Cardiology Medical University of Graz Gottfried Schatz Research Center : Biophysics Neue Stiftingtalstrasse 6/D04 A-8010 Graz Austria Phone: +43 316 385 71526 Fax: +43 316 385 79611 Email: gernot.plank(a)medunigraz.at Web: http://forschung.medunigraz.at/fodok/staff?name=GernotPlank http://ccl.medunigraz.at