Differences

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--- hpc:faq [2025/11/10 10:00] – [Storage] Adrien Albert
+++ hpc:faq [2025/12/08 13:25] (current) – Yann Sagon
@@ Line 38: / Line 38: @@
 =?=== Cost ====
+??? I'm using Open XDMoD to check how many hours my group used this year, but the amount is quite different from what appears on the invoice or in ''ug_slurm_usage_per_user.py''.
+!!! For invoicing, we use a Slurm metric called billing. This metric aggregates CPU hours, memory usage, and GPU usage. Unfortunately, Open XDMoD does not currently support this metric and therefore does not take into account GPU type or memory usage. We have added a warning about this in [[accounting#openxdmod|Open XDMoD documentation]]
+??? My group only used our private partition. I heard from a colleague that it is free of charge, yet I still received an invoice.
+!!! Because GPU models and RAM usage vary significantly, we now apply a uniform resource accounting system by converting GPU hours and memory usage into CPU-hour equivalents.
+This metric is called billing. If you own a private partition, you receive a fixed annual allocation of billing units that can be used on any cluster. More details are available here: [[accounting#resources_available_for_research_group|Resources available for research groups]]
+??? Your documentation states the cost per hour is 0.0157 CHF, but my invoice shows 0.02 CHF.
+!!! The price per hour shown on the invoice is rounded for display purposes only. The actual calculation uses the full precision of the rate.
+??? I'm a PI and want to see usage details per user.
+!!! You can use the script ''ug_slurm_usage_per_user.py'' for this purpose. An example is provided in our documentation: Aggregate usage by all users of a given PI. [[accounting#aggregate_usage_by_all_users_of_a_given_pi|Aggregate usage by all users of a given PI]]
 ??? I have no idea why I received your email about 'HPC billing'.