Allocations and compute scheduling: Difference between revisions

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(updates for 2025 RAC and multi-instance GPUs)
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With the 2025 [[infrastructure renewal]] it will become possible to schedule a fraction of a GPU using [[multi-instance GPU]] technology.  Different jobs, potentially belonging to different users, can run on the same GPU at the same time.  Following [https://docs.nvidia.com/datacenter/tesla/mig-user-guide/#terminology NVidia's terminology], a fraction of a GPU allocated to a single job is called a "GPU instance", also sometimes called a "MIG instance".   
With the 2025 [[infrastructure renewal]] it will become possible to schedule a fraction of a GPU using [[multi-instance GPU]] technology.  Different jobs, potentially belonging to different users, can run on the same GPU at the same time.  Following [https://docs.nvidia.com/datacenter/tesla/mig-user-guide/#terminology NVidia's terminology], a fraction of a GPU allocated to a single job is called a "GPU instance", also sometimes called a "MIG instance".   


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The following table lists the GPU models and instances that can be selected in the CCDB form for RAC 2025. RGU values for GPU instances have been estimated from whole-GPU performance numbers and the fraction of the GPU which comprises the instance.
The following table lists the GPU models and instances that can be selected in the CCDB form for RAC 2025. RGU values for GPU instances have been estimated from whole-GPU performance numbers and the fraction of the GPU which comprises the instance.


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|+ GPU models and instances available for RAC 2025
|+ GPU models and instances available for RAC 2025
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Note: a GPU instance of profile <b>1g</b> is worth 1/7 of a A100 or H100 GPU. The case of <b>3g</b> takes into consideration the extra amount of memory per <b>g</b>.
Note: a GPU instance of profile <b>1g</b> is worth 1/7 of a A100 or H100 GPU. The case of <b>3g</b> takes into consideration the extra amount of memory per <b>g</b>.


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