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--- hpc:hpc_clusters [2025/11/19 14:52] – [GPUs on Baobab] Gaël Rossignol
+++ hpc:hpc_clusters [2025/12/16 17:04] (current) – [Cost model] Yann Sagon
@@ Line 82: / Line 82: @@
   * **Purchase or rent** compute nodes for more intensive workloads.
-You can as well find a summary of how this model is implemented yet: https://hpc-community.unige.ch/t/hpc-accounting-summary/4056
+**Summary:**
+  * Starting this year, you receive a **CPU hours credit** based on the hardware you own (if any) in the cluster (private partition).
+  * You can find instructions on how to check your annual credit here: [[accounting#resources_available_for_research_group|Resources Available for Research Groups]]. If you know your research group has bought some compute nodes but your PI doesn't appear in the report, please contact us.
+  * The credit calculation in the provided script assumes a **5-year hardware ownership period**. However, **if** this policy was introduced after your compute nodes were purchased, we have extended the production duration by two years.
+  * To ensure **flexibility and simplicity**, we have standardized resource usage by converting CPU Memory, and GPU hours into CPU hours, using different conversion ratios depending on the GPU type. More details can be found here: [[accounting#resource_accounting_uniformization|Resource Accounting Uniformization]].
+  * You can use your credit across all three clusters (**Baobab, Yggdrasil, and Bamboo**), not just on your private compute nodes. However, when using your own compute nodes, you will receive a **higher priority**.
+  * To check your group's current resource usage, visit: [[accounting#report_and_statistics_with_sreport|Report and Statistics with sreport]].
 ==== Price per hour ====
 <WRAP center round important 60%>
@@ Line 364: / Line 372: @@
 | Titan X     | Pascal       | 12GB  | 6.1               | nvidia_titan_x             | titan                | 8         | gpu[009-010]     |
 | RTX 2080 Ti | Turing       | 11GB  | 7.5               | nvidia_geforce_rtx_2080_ti | turing               | 2         | gpu[011]         |
-| RTX 2080 Ti | Turing       | 11GB  | 7.5               | nvidia_geforce_rtx_2080_ti | turing               | 8         | gpu[012]         |
 | RTX 2080 Ti | Turing       | 11GB  | 7.5               | nvidia_geforce_rtx_2080_ti | turing               | 8         | gpu[015]         |
 | RTX 2080 Ti | Turing       | 11GB  | 7.5               | nvidia_geforce_rtx_2080_ti | turing               | 8         | gpu[013,016]     |