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--- hpc:accounting [2025/12/04 10:34] – [Resources available for research group] Yann Sagon
+++ hpc:accounting [2025/12/04 10:43] (current) – [Resources available for research group] Yann Sagon
@@ Line 46: / Line 46: @@
 ===== Resources available for research group =====
-Research groups that have invested in the HPC cluster by purchasing private CPU or GPU nodes benefit from high priority access to these resources.
+Research groups that have invested in the HPC cluster by purchasing private CPU or GPU nodes benefit from **high-priority access** to these resources.
-While these nodes remain available to all users, owners receive priority scheduling and a designated number of included compute hours per year named [[accounting#resource_accounting_uniformization|billings]].
+Although these nodes remain available to all users, owners receive **priority scheduling** and a predefined annual allocation of compute hours, referred to as [[accounting#resource_accounting_uniformization|billings]].
+The advantage of this approach is flexibility: you are free to use any resource on any cluster, rather than being restricted to your own nodes. When doing so, your billings will be consumed.
-To check the details of their owned resources, users can run the script ''ug_getNodeCharacteristicsSummary.py'', which provides a summary of the node characteristics within the cluster.
+To view details of owned resources, users can run the script:
+''ug_getNodeCharacteristicsSummary.py''
+This script provides a summary of the node characteristics within the cluster.
-Example:
+**Note:** This model ensures **fairness** across all users. Even if some groups own nodes, resources remain shared. Usage beyond the included billings will be **charged according to the standard accounting model**, ensuring equitable access for everyone.
+Output example of the script:
 <code>
 ug_getNodeCharacteristicsSummary.py --partitions private-<group>-gpu private-<group>-cpu --cluster <cluster> --summary