With my recent home lab OpenStack cloud, I wanted to test out OpenShift deployment with GPU worker nodes.
You need a system that can run the OpenShift install command. This can be a Linux, Windows or Mac system. I already had a Linux VM setup for this task.
We'll be following the official IPI documentation for OpenStack.
Head to https://cloud.redhat.com/openshift/install/openstack/installer-provisioned. This is where you can get the links for the client and installer, as well as, your pull secret.
[cloud-user@ocp-provisioner 4.6]$ https://mirror.openshift.com/pub/openshift-v4/clients/ocp/latest-4.6/openshift-client-linux-4.6.1.tar.gz [cloud-user@ocp-provisioner 4.6]$ tar xvf openshift-client-linux-4.6.1.tar.gz [cloud-user@ocp-provisioner 4.6]$ https://mirror.openshift.com/pub/openshift-v4/clients/ocp/latest-4.6/openshift-install-linux-4.6.1.tar.gz [cloud-user@ocp-provisioner 4.6]$ tar xvf openshift-install-linux-4.6.1.tar.gz
Next I need my clouds.yaml file. This can be downloaded from the OpenStack Dashboard. Place this file in the directory you will run the openshift-install from.
Assign the swiftoperator role to the OpenStack user.
$ openstack role add --user operator --project operators swiftoperator
In your deployment you also need to set the following parameter for DNS servers on neutron networks.
The OpenShift doc specifies the quota requirements for the target project.
I have two flavors created, ocp.controller and ocp.gpu-worker.
The ocp.gpu-worker flavor has the following metadata property set to pass through a GPU using the g1030 alias and the HD Audio device using the g1030audio alias.
In order to make sure my controllers go to CPU nodes and my workers land on GPU nodes, I set up two host aggregates and set the gpu=true for my gpu-worker flavor and gpu=false for my controller flavor.
I also chose to upload the Red Hat CoreOS image into glance.
$ openstack image create --container-format bare --disk-format qcow2 --min-disk 25 --min-ram 16384 --file /home/stack/overcloud_guest_images/rhcos-4.6.1-x86_64-openstack.x86_64.qcow2 --public rhcos-gpu
This step is not necessary, but I wanted to set a metadata parameter on the image.
Lastly, you need two floating IPs in your project. You will use these for two DNS records. Below are the records in my dnsmasq server.
I needed to make a few more modifications to my OpenStack configuration to get the GPU Operator to work with the GPUs I am working with.
I had to configure Nova to use host-model for the CPU mode of KVM. This way when my instances get created, they have host-model set as mode in the CPU section of their XML definition.
I also needed to tell the kernel to set both the GPU and the HD Audio devices as vfio-pci IDs.
I added the following to my node-info.yaml environment file and reran my OpenStack deployment script to apply these new configurations.
parameter_defaults: ... ComputeParameters: NovaReservedHostMemory: 1024 NovaCPUAllocationRatio: 16.0 KernelArgs: "intel_iommu=on iommu=pt vfio-pci.ids=10de:1d01,10de:0fb8" ... ComputeExtraConfig: nova::compute::libvirt::cpu_mode: host-model
Create the Install Config
[cloud-user@ocp-provisioner ~]$ ./4.6/openshift-install create install-config --dir=openstack/ocp1/
Answer the prompts as you go.
Edit the install config. Notice the floating IP settings in the install config below which will match my DNS records above. I also made a few other adjustments.
apiVersion: v1 baseDomain: openstack.kdjlab.com compute: - architecture: amd64 hyperthreading: Enabled name: worker platform: openstack: type: ocp.gpu-worker replicas: 2 controlPlane: architecture: amd64 hyperthreading: Enabled name: master platform: openstack: type: ocp.controller replicas: 3 metadata: creationTimestamp: null name: ocp1 networking: clusterNetwork: - cidr: 10.128.0.0/14 hostPrefix: 23 machineNetwork: - cidr: 10.0.0.0/16 networkType: OVNKubernetes serviceNetwork: - 172.30.0.0/16 platform: openstack: apiVIP: 10.0.0.5 cloud: openstack clusterOSImage: rhcos-gpu computeFlavor: ocp.controller externalDNS: ["10.99.99.12"] externalNetwork: public ingressVIP: 10.0.0.7 lbFloatingIP: 192.168.100.141 ingressFloatingIP: 192.168.100.144 octaviaSupport: "0" region: "regionOne" trunkSupport: "1" publish: External pullSecret: 'get yours from cloud.redhat.com' sshKey: | ssh-rsa AAAA...x5tS/ ansible-generated on ocp-provisioner.kdjlab.com
Deploy the OpenShift Cluster
[cloud-user@ocp-provisioner ~]$ ./4.6/openshift-install create cluster --dir=openstack/ocp1 --log-level=debug ... INFO Install complete! INFO To access the cluster as the system:admin user when using 'oc', run 'export KUBECONFIG=/home/cloud-user/openstack/ocp1/auth/kubeconfig' INFO Access the OpenShift web-console here: https://console-openshift-console.apps.ocp1.openstack.kdjlab.com INFO Login to the console with user: "kubeadmin", and password: "...." DEBUG Time elapsed per stage: DEBUG Infrastructure: 3m11s DEBUG Bootstrap Complete: 16m26s DEBUG API: 2m18s DEBUG Bootstrap Destroy: 53s DEBUG Cluster Operators: 39m19s INFO Time elapsed: 1h0m9s
Connect to the Cluster via CLI
[cloud-user@ocp-provisioner ~]$ export KUBECONFIG=/home/cloud-user/openstack/ocp1/auth/kubeconfig [cloud-user@ocp-provisioner ~]$ ./4.6/oc get nodes NAME STATUS ROLES AGE VERSION ocp1-mmqhh-master-0 Ready master 7h47m v1.19.0+d59ce34 ocp1-mmqhh-master-1 Ready master 7h48m v1.19.0+d59ce34 ocp1-mmqhh-master-2 Ready master 7h47m v1.19.0+d59ce34 ocp1-mmqhh-worker-0-k8hp6 Ready worker 7h29m v1.19.0+d59ce34 ocp1-mmqhh-worker-0-qwlg5 Ready worker 7h27m v1.19.0+d59ce34 [cloud-user@ocp-provisioner ~]$ ./4.6/oc get clusteroperators NAME VERSION AVAILABLE PROGRESSING DEGRADED SINCE authentication 4.6.1 True False False 7h4m cloud-credential 4.6.1 True False False 7h53m cluster-autoscaler 4.6.1 True False False 7h46m config-operator 4.6.1 True False False 7h47m console 4.6.1 True False False 7h20m csi-snapshot-controller 4.6.1 True False False 7h32m dns 4.6.1 True False False 7h44m etcd 4.6.1 True False False 7h45m image-registry 4.6.1 True False False 7h23m ingress 4.6.1 True False False 7h23m insights 4.6.1 True False False 7h47m kube-apiserver 4.6.1 True False False 7h43m kube-controller-manager 4.6.1 True False False 7h44m kube-scheduler 4.6.1 True False False 7h43m kube-storage-version-migrator 4.6.1 True False False 7h32m machine-api 4.6.1 True False False 7h41m machine-approver 4.6.1 True False False 7h45m machine-config 4.6.1 True False False 7h46m marketplace 4.6.1 True False False 7h44m monitoring 4.6.1 True False False 12m network 4.6.1 True False False 7h48m node-tuning 4.6.1 True False False 7h47m openshift-apiserver 4.6.1 True False False 7h24m openshift-controller-manager 4.6.1 True False False 7h22m openshift-samples 4.6.1 True False False 7h20m operator-lifecycle-manager 4.6.1 True False False 7h45m operator-lifecycle-manager-catalog 4.6.1 True False False 7h45m operator-lifecycle-manager-packageserver 4.6.1 True False False 7h22m service-ca 4.6.1 True False False 7h47m storage 4.6.1 True False False 7h47m
Check Worker for GPU
By default, floating IPs are not assigned to any of the OpenShift instances. If you want SSH access from a system that is not on the private network they are on, you will need to associate a floating IP to the instance you would like to connect to. You should disassociate it once done.
You can see below, my worker node has a GPU available (and the associated HD Audio device).
[core@ocp1-mmqhh-worker-0-k8hp6 ~]$ lspci -nnv | grep -i nvidia 00:05.0 VGA compatible controller : NVIDIA Corporation GP108 [GeForce GT 1030] [10de:1d01] (rev a1) (prog-if 00 [VGA controller]) 00:06.0 Audio device : NVIDIA Corporation GP108 High Definition Audio Controller [10de:0fb8] (rev a1)
In the next post, I'll go through deploying the NVIDIA GPU Operator onto this cluster.