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Announcements#

New billing scheme and usage capping

Introducing RAM memory billing: A fairer approach to compute node usage

Historically, SCITAS has only billed for the fraction of the CPU that is allocated to a simulation. While this metric often provides valuable insights into the processing power required by a user, it does not fully capture the complete picture of resource consumption. For example, some simulations may require a lot of memory, while performing their task serially, i.e. using only one CPU core. This leads to situations where a certain fraction of the node is allocated for this particular job, while it is billed only based on one CPU core. This created an unfair situation between the users as the billing did not take into account the actual fraction of the compute node that is utilized.