Red Hat SummitDieser Inhalt ist in der von Ihnen ausgewählten Sprache nicht verfügbar.
Chapter 7. Creating a hardware profile for LAB-tuning
Configure a GPU hardware profile in OpenShift AI that users can select when launching a LAB-tuning run.
A GPU hardware profile is required to run LAB-tuning workloads in OpenShift AI. LAB-tuning uses distributed training that must be scheduled on nodes with GPU resources. A GPU hardware profile allows users to target specific GPU-enabled worker nodes when launching pipelines, ensuring that training workloads run on compatible hardware.
Prerequisites
- You are logged in to OpenShift AI as a user with administrator privileges.
- The relevant hardware is installed and you have confirmed that it is detected in your environment.
Procedure
Follow the steps described in Creating a hardware profile to create a
LAB-tuninghardware profile, adapting the following configurations to your specific cluster setup:Expand Setting Value CPU: Default
4 Cores
CPU: Minimum allowed
2 Cores
CPU: Maximum allowed
4 Cores
Memory: Maximum allowed
250 GiB or more
Resource label
nvidia.com/gpuResource identifier
nvidia.com/gpuResource type
AcceleratorNode selector key (optional)
node.kubernetes.io/instance-typeNode selector value
a2-ultragpu-2gToleration operator (optional)
ExistsToleration key
nvidia.com/gpuToleration effect
NoSchedule- Ensure that the new hardware profile is available for use with a checkmark in the Enable column.
'%20d='M201.5%20305.5c-13.8%200-24.9-11.1-24.9-24.6%200-13.8%2011.1-24.9%2024.9-24.9%2013.6%200%2024.6%2011.1%2024.6%2024.9%200%2013.6-11.1%2024.6-24.6%2024.6zM504%20256c0%20137-111%20248-248%20248S8%20393%208%20256%20119%208%20256%208s248%20111%20248%20248zm-132.3-41.2c-9.4%200-17.7%203.9-23.8%2010-22.4-15.5-52.6-25.5-86.1-26.6l17.4-78.3%2055.4%2012.5c0%2013.6%2011.1%2024.6%2024.6%2024.6%2013.8%200%2024.9-11.3%2024.9-24.9s-11.1-24.9-24.9-24.9c-9.7%200-18%205.8-22.1%2013.8l-61.2-13.6c-3-.8-6.1%201.4-6.9%204.4l-19.1%2086.4c-33.2%201.4-63.1%2011.3-85.5%2026.8-6.1-6.4-14.7-10.2-24.1-10.2-34.9%200-46.3%2046.9-14.4%2062.8-1.1%205-1.7%2010.2-1.7%2015.5%200%2052.6%2059.2%2095.2%20132%2095.2%2073.1%200%20132.3-42.6%20132.3-95.2%200-5.3-.6-10.8-1.9-15.8%2031.3-16%2019.8-62.5-14.9-62.5zM302.8%20331c-18.2%2018.2-76.1%2017.9-93.6%200-2.2-2.2-6.1-2.2-8.3%200-2.5%202.5-2.5%206.4%200%208.6%2022.8%2022.8%2087.3%2022.8%20110.2%200%202.5-2.2%202.5-6.1%200-8.6-2.2-2.2-6.1-2.2-8.3%200zm7.7-75c-13.6%200-24.6%2011.1-24.6%2024.9%200%2013.6%2011.1%2024.6%2024.6%2024.6%2013.8%200%2024.9-11.1%2024.9-24.6%200-13.8-11-24.9-24.9-24.9z'/%3e%3c/svg%3e){kind=small}