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GPU Optimization with Run:ai Atlas
Introduction Overview of Run:ai Atlas platform Reference Architecture of Run:ai Atlas on Dell infrastructure Use case validation for Run:ai Atlas Deployment Considerations
Overview
Installing Symcloud Platform
Installing GPU operator
Installing Run:ai Atlas platform
Why Dell Technologies? Dell Technologies services and support The Dell Technologies Customer Solutions Center Conclusion References

Installing Symcloud Platform

Installing Symcloud Platform

  • Symcloud Platform version 5.4 provides the GoRobin utility for quick and simple installation of the Symcloud Platform. The utility simplifies installation, uninstallation, and update procedures. See the Symcloud Platform deployment guide for more information, including prerequisites. Consider the following when deploying Symcloud Platform:

    • For NVIDIA GPU operator to work on the Symcloud Platform, the Container Runtime Interface (CRI) must be docker. The default CRI is robin. To change the default CRI, the following parameter must be in the worker configuration YAML file:

      --cri=dockershim

    Also, use the following option in the YAML file:

    --storage-driver=overlay2

    To verify that the correct CRI is installed, run the kubectl get nodes -o wide command after the installation. The last column inf the following figure shows the CRI:

    • A Run:ai Atlas platform self-hosted installation requires the MetalLB load balancer that is available as part of the installation package. See the Load Balancer Support via MetalLB section in their deployment guide to deploy MetalLB.