Skip to content

Latest commit

 

History

History
62 lines (50 loc) · 4.04 KB

README.md

File metadata and controls

62 lines (50 loc) · 4.04 KB
Raw

AKS RDMA/Infiniband Support

To support running HPC workloads using RDMA/Infiniband on AKS, this repo provides a daemonset to install the necessary RDMA drivers and device plugins on HPC-series VMs.

Prerequisites

This installation assumes you have the following setup:

  • AKS cluster with Infiniband feature flag enabled:
    • enable flag: az feature register --name AKSInfinibandSupport --namespace Microsoft.ContainerService
    • check status: az feature list -o table --query "[?contains(name, 'Microsoft.ContainerService/AKSInfinibandSupport')].{Name:name,State:properties.state}"
    • register when ready: az provider register --namespace Microsoft.ContainerService
  • AKS nodepool with RDMA-capable skus:
    • Refer to the HPC docs: https://docs.microsoft.com/en-us/azure/virtual-machines/sizes-hpc
    • Sample command to create AKS nodepool with HPC-sku (assuming aks resource group and cluster already created):
      • az aks nodepool add --resource-group <resource group name> --cluster-name <cluster name> --name rdmanp --node-count 2 --node-vm-size Standard_HB120rs_v2
      • Note: VM size names are case-sensitive

Configuration

Depending on intended usage there are alterations that can be made to the shared-hca-images/configMap.yaml:

  • if you only intended to assign a single pod to each node, keep the rdmaHcaMax parameter as 1
  • if you want to run parallel workloads with multiple pods per node, modify rdmaHcaMax to be how many pods you want on a single node
    • Note: this will affect the latency, since the pods will be sharing the bandwidth

Quickstart

  1. Clone repository
  2. Build & push image (this image will later be available on mcr):
  3. Deploy manifests:
    • kubectl apply -k shared-hca-images/.
  4. Check installation logs to confirm driver installation
    • kubectl get pods
    • kubectl logs <name of installation pod>
    • Wait until you see message indicating installation completed successfully
  5. Deploy MPI workload (refer to example test pods, test-rdma-pods.yaml, specifically the resources section to see how to pull resources)
    • kubectl apply -f <rdma workload>

** This solution is modelled after: https://github.com/alexeldeib/aks-fpga **

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.