EMR Serverless consume different amounts of resources in the different regions for the same data size

Hello,

EMR Serverless automatically scales workers up or down based on the workload and parallelism required at every stage of the job. The worker container's resource requirement is availed based on the availability resource pool which might varies depends on the instance type tenancy. I request you to compare the application logs for an instance (tez, spark container logs to see if any stages skipped or reducer optimized the steps etc).