Thank you for the solution. We have configured the memory of launcher in environment manager as you mentioned, but it is not directly affected the size of the sas-programming-environment memory size in compute pod. Hence, we also increase the memory limit of sas-compute-job-config on launcher.sas.com up to 32Gi by using this script: kubectl -n scoring-engine annotate PodTemplate sas-compute-job-config --overwrite launcher.sas.com/default-memory-limit=32000Mi kubectl -n scoring-engine annotate PodTemplate sas-compute-job-config --overwrite launcher.sas.com/max-memory-limit=32000Mi After these configurations, the python job can be executed successfully. The actual memory utilization is about 22Gi, so 24Gi for the memory is actually enough.
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