Getting Started with Kubernetes
On this page
-
Network Operator Deployment with Multiple Resources in RDMA Shared Device Plugin
Network Operator Deployment with a Host Device Network and Macvlan Network
Network Operator Deployment with an IP over InfiniBand (IPoIB) Network
SR-IOV Network Operator Deployment – Parallel Node Configuration for SR-IOV
SR-IOV Network Operator Deployment – Parallel NIC Configuration for SR-IOV
SR-IOV Network Operator Deployment – SR-IOV Using the systemd Service
Network Operator Deployment with an SR-IOV InfiniBand Network
Network Operator Deployment with an SR-IOV InfiniBand Network with PKey Management
Network Operator Deployment for DPDK Workloads with NicClusterPolicy
The Network Operator Release Notes chapter is available here.
NVIDIA Network Operator leverages Kubernetes CRDs and Operator SDK to manage networking related components in order to enable fast networking, RDMA and GPUDirect for workloads in a Kubernetes cluster. The Network Operator works in conjunction with the GPU-Operator to enable GPU-Direct RDMA on compatible systems.
The goal of the Network Operator is to manage the networking related components, while enabling execution of RDMA and GPUDirect RDMA workloads in a Kubernetes cluster. This includes:
NVIDIA Networking drivers to enable advanced features - enp1 netdcreate, an NV-IPAM IPPool
Kubernetes device plugins to provide hardware resources required for an accelerated network
Kubernetes secondary network components for network intensive workloads
You have the
kubectlandhelmCLIs available on a client machine.You can run the following commands to install the Helm CLI:
$ curl -fsSL -o get_helm.sh https://raw.githubusercontent.com/helm/helm/master/scripts/get-helm-3 \ && chmod 700 get_helm.sh \ && ./get_helm.sh
Nodes must be configured with a container engine such CRI-O or containerd.
If your cluster uses Pod Security Admission (PSA) to restrict the behavior of pods, label the namespace for the Operator to set the enforcement policy to privileged:
$ kubectl create ns nvidia-network-operator $ kubectl label --overwrite ns nvidia-network-operator pod-security.kubernetes.io/enforce=privileged
Node Feature Discovery (NFD) is a dependency for the Operator on each node. By default, NFD master and worker are automatically deployed by the Operator. If NFD is already running in the cluster, then you must disable deploying NFD when you install the Operator. by setting
nfd.enabled=falseHelm valueOne way to determine if NFD is already running in the cluster is to check for a NFD label on your nodes:
$ kubectl get nodes -o json | jq '.items[].metadata.labels | keys | any(startswith("feature.node.kubernetes.io"))'
If the command output is
true, then NFD is already running in the cluster.NoteNFD needs to support NodeFeatureRules API or it should be configured to expose the needed NIC labels. Deploying NFD from either NVIDIA Network Operator or NVIDIA GPU Operator will have the correct configurations for both Operators.
It is recommended to have dedicated control plane nodes for Vanilla Kubernetes deployments with NVIDIA Network Operator.
The default installation via Helm as described below will deploy the Network Operator and related CRDs, after which an additional step is required to create a NicClusterPolicy custom resource with the configuration that is desired for the cluster.
For more information on NicClusterPolicy custom resource, please refer to the Network-Operator Project Sources.
The provided Helm chart contains various parameters to facilitate the creation of a NicClusterPolicy custom resource upon deployment.
Each Network Operator Release has a set of default version values for the various components it deploys. It is recommended that these values will not be changed. Testing and validation were performed with these values, and there is no guarantee of interoperability nor correctness when different versions are used.
Add NVIDIA NGC Helm repository
helm repo add nvidia https://helm.ngc.nvidia.com/nvidia
Update helm repositories
helm repo update
Install Network Operator from the NVIDIA NGC chart using the default values:
helm install network-operator nvidia/network-operator \
-n nvidia-network-operator \
--create-namespace \
--version v24.7.0 \
--wait
View deployed resources
kubectl -n nvidia-network-operator get pods
Install the Network Operator from the NVIDIA NGC chart using custom values:
Since several parameters should be provided when creating custom resources during operator deployment, it is recommended to use a configuration file. While it is possible to override the parameters via CLI, we recommend to avoid the use of CLI arguments in favor of a configuration file.
helm show values nvidia/network-operator --version v24.7.0 > values.yaml
helm install network-operator nvidia/network-operator \
-n nvidia-network-operator \
--create-namespace \
--version v24.7.0 \
-f ./values.yaml \
--wait
Since several parameters should be provided when creating custom resources during operator deployment, it is recommended to use a configuration file. While it is possible to override the parameters via CLI, we recommend to avoid the use of CLI arguments in favor of a configuration file.
Below are deployment examples, which the values.yaml file provided to the Helm during the installation of the network operator. This was achieved by running:
helm install -f ./values.yaml -n nvidia-network-operator --create-namespace --wait nvidia/network-operator network-operator
Network Operator Deployment with RDMA Shared Device Plugin
First install the Network Operator with NFD enabled:
values.yaml:
nfd:
enabled: true
Once the Network Operator is installed create a NicClusterPolicy with * DOCA driver * RDMA Shared device plugin configured to a netdev with name ens1f0.
Note: You may need to change the interface names in the NicClusterPolicy to those used by your target nodes.
apiVersion: mellanox.com/v1alpha1
kind: NicClusterPolicy
metadata:
name: nic-cluster-policy
spec:
ofedDriver:
image: doca-driver
repository: nvcr.io/nvidia/mellanox
version: 24.07-0.6.1.0-0
forcePrecompiled: false
imagePullSecrets: []
terminationGracePeriodSeconds: 300
startupProbe:
initialDelaySeconds: 10
periodSeconds: 20
livenessProbe:
initialDelaySeconds: 30
periodSeconds: 30
readinessProbe:
initialDelaySeconds: 10
periodSeconds: 30
upgradePolicy:
autoUpgrade: true
maxParallelUpgrades: 1
safeLoad: false
drain:
enable: true
force: true
podSelector: ""
timeoutSeconds: 300
deleteEmptyDir: true
rdmaSharedDevicePlugin:
# [map[ifNames:[ens1f0] name:rdma_shared_device_a]]
image: k8s-rdma-shared-dev-plugin
repository: ghcr.io/mellanox
version: v1.5.1
imagePullSecrets: []
# The config below directly propagates to k8s-rdma-shared-device-plugin configuration.
# Replace 'devices' with your (RDMA capable) netdevice name.
config: |
{
"configList": [
{
"resourceName": "rdma_shared_device_a",
"rdmaHcaMax": 63,
"selectors": {
"vendors": [],
"deviceIDs": [],
"drivers": [],
"ifNames": ["ens1f0"],
"linkTypes": []
}
}
]
}
Network Operator Deployment with Multiple Resources in RDMA Shared Device Plugin
First install the Network Operator with NFD enabled:
values.yaml:
nfd:
enabled: true
Once the Network Operator is installed create a NicClusterPolicy with: * DOCA driver * RDMA Shared Device pluging with two RDMA resources - the first mapped to ens1f0 and ens1f1 and the second mapped to ens2f0 and ens2f1.
Note: You may need to change the interface names in the NicClusterPolicy to those used by your target nodes.
apiVersion: mellanox.com/v1alpha1
kind: NicClusterPolicy
metadata:
name: nic-cluster-policy
spec:
ofedDriver:
image: doca-driver
repository: nvcr.io/nvidia/mellanox
version: 24.07-0.6.1.0-0
forcePrecompiled: false
imagePullSecrets: []
terminationGracePeriodSeconds: 300
startupProbe:
initialDelaySeconds: 10
periodSeconds: 20
livenessProbe:
initialDelaySeconds: 30
periodSeconds: 30
readinessProbe:
initialDelaySeconds: 10
periodSeconds: 30
upgradePolicy:
autoUpgrade: true
maxParallelUpgrades: 1
safeLoad: false
drain:
enable: true
force: true
podSelector: ""
timeoutSeconds: 300
deleteEmptyDir: true
rdmaSharedDevicePlugin:
# [map[ifNames:[ens1f0 ens1f1] name:rdma_shared_device_a] map[ifNames:[ens2f0 ens2f1] name:rdma_shared_device_b]]
image: k8s-rdma-shared-dev-plugin
repository: ghcr.io/mellanox
version: v1.5.1
imagePullSecrets: []
# The config below directly propagates to k8s-rdma-shared-device-plugin configuration.
# Replace 'devices' with your (RDMA capable) netdevice name.
config: |
{
"configList": [
{
"resourceName": "rdma_shared_device_a",
"rdmaHcaMax": 63,
"selectors": {
"vendors": [],
"deviceIDs": [],
"drivers": [],
"ifNames": ["ens1f0","ens1f1"],
"linkTypes": []
}
},
{
"resourceName": "rdma_shared_device_b",
"rdmaHcaMax": 63,
"selectors": {
"vendors": [],
"deviceIDs": [],
"drivers": [],
"ifNames": ["ens2f0","ens2f1"],
"linkTypes": []
}
}
]
}
Network Operator Deployment with a Secondary Network
First install the Network Operator with NFD enabled:
values.yaml:
nfd:
enabled: true
Once the Network Operator is installed create a NicClusterPolicy with the following enabled: * Secondary network * Multus CNI * Container-networking-plugins CNI plugins * IPAM Plugin
apiVersion: mellanox.com/v1alpha1
kind: NicClusterPolicy
metadata:
name: nic-cluster-policy
spec:
secondaryNetwork:
cniPlugins:
image: plugins
repository: ghcr.io/k8snetworkplumbingwg
version: v1.5.0
imagePullSecrets: []
multus:
image: multus-cni
repository: ghcr.io/k8snetworkplumbingwg
version: v3.9.3
imagePullSecrets: []
ipamPlugin:
image: whereabouts
repository: ghcr.io/k8snetworkplumbingwg
version: v0.7.0
imagePullSecrets: []
Network Operator Deployment with NVIDIA-IPAM
First install the Network Operator with NFD enabled:
values.yaml:
nfd:
enabled: true
- Once the Network Operator is installed deploy a NicClusterPolicy with the following enabled:
Secondary network
Multus CNI
Container Networking plugins
NVIDIA-IPAM plugin
apiVersion: mellanox.com/v1alpha1
kind: NicClusterPolicy
metadata:
name: nic-cluster-policy
spec:
secondaryNetwork:
cniPlugins:
image: plugins
repository: ghcr.io/k8snetworkplumbingwg
version: v1.5.0
imagePullSecrets: []
multus:
image: multus-cni
repository: ghcr.io/k8snetworkplumbingwg
version: v3.9.3
imagePullSecrets: []
nvIpam:
image: nvidia-k8s-ipam
repository: ghcr.io/mellanox
version: v0.2.0
imagePullSecrets: []
enableWebhook: false
To create an NV-IPAM IPPool, apply:
apiVersion: nv-ipam.nvidia.com/v1alpha1
kind: IPPool
metadata:
name: my-pool
namespace: nvidia-network-operator
spec:
subnet: 192.168.0.0/24
perNodeBlockSize: 100
gateway: 192.168.0.1
Example of a MacvlanNetwork that uses NVIDIA-IPAM:
apiVersion: mellanox.com/v1alpha1
kind: MacvlanNetwork
metadata:
name: example-macvlannetwork
spec:
networkNamespace: "default"
master: "ens2f0"
mode: "bridge"
mtu: 1500
ipam: |
{
"type": "nv-ipam",
"poolName": "my-pool"
}
Network Operator Deployment with a Host Device Network
In this mode, the Network Operator could be deployed on virtualized deployments as well. It supports both Ethernet and InfiniBand modes. From the Network Operator perspective, there is no difference between the deployment procedures. To work on a VM (virtual machine), the PCI passthrough must be configured for SR-IOV devices. The Network Operator works both with VF (Virtual Function) and PF (Physical Function) inside the VMs.
If the Host Device Network is used without the MLNX_OFED driver, the following packages should be installed:
the linux-generic package on Ubuntu hosts
the kernel-modules-extra package on the RedHat-based hosts
First install the Network Operator with NFD enabled:
values.yaml:
nfd:
enabled: true
- Once the Network Operator is installed deploy a NicClusterPolicy with:
SR-IOV device plugin configured with a single SR-IOV resource pool
Secondary network
Multus CNI
Container Networking plugins
IPAM plugin
apiVersion: mellanox.com/v1alpha1
kind: NicClusterPolicy
metadata:
name: nic-cluster-policy
spec:
sriovDevicePlugin:
image: sriov-network-device-plugin
repository: ghcr.io/k8snetworkplumbingwg
version: v3.7.0
imagePullSecrets: []
config: |
{
"resourceList": [
{
"resourcePrefix": "nvidia.com",
"resourceName": "hostdev",
"selectors": {
"vendors": ["15b3"],
"devices": [],
"drivers": [],
"pfNames": [],
"pciAddresses": [],
"rootDevices": [],
"linkTypes": [],
"isRdma": true
}
}
]
}
secondaryNetwork:
cniPlugins:
image: plugins
repository: ghcr.io/k8snetworkplumbingwg
version: v1.5.0
imagePullSecrets: []
multus:
image: multus-cni
repository: ghcr.io/k8snetworkplumbingwg
version: v3.9.3
imagePullSecrets: []
ipamPlugin:
image: whereabouts
repository: ghcr.io/k8snetworkplumbingwg
version: v0.7.0
imagePullSecrets: []
Following the deployment, the network operator should be configured, and K8s networking should be deployed to use it in pod configuration.
The host-device-net.yaml configuration file for such a deployment:
apiVersion: mellanox.com/v1alpha1
kind: HostDeviceNetwork
metadata:
name: hostdev-net
spec:
networkNamespace: "default"
resourceName: "nvidia.com/hostdev"
ipam: |
{
"type": "whereabouts",
"datastore": "kubernetes",
"kubernetes": {
"kubeconfig": "/etc/cni/net.d/whereabouts.d/whereabouts.kubeconfig"
},
"range": "192.168.3.225/28",
"exclude": [
"192.168.3.229/30",
"192.168.3.236/32"
],
"log_file": "/var/log/whereabouts.log",
"log_level": "info"
}
The host-device-net-ocp.yaml configuration file for such a deployment in the OpenShift Platform:
apiVersion: mellanox.com/v1alpha1
kind: HostDeviceNetwork
metadata:
name: hostdev-net
spec:
networkNamespace: "default"
resourceName: "nvidia.com/hostdev"
ipam: |
{
"type": "whereabouts",
"range": "192.168.3.225/28",
"exclude": [
"192.168.3.229/30",
"192.168.3.236/32"
]
}
The pod.yaml configuration file for such a deployment:
apiVersion: v1
kind: Pod
metadata:
name: hostdev-test-pod
annotations:
k8s.v1.cni.cncf.io/networks: hostdev-net
spec:
restartPolicy: OnFailure
containers:
- image:
name: mofed-test-ctr
securityContext:
capabilities:
add: [ "IPC_LOCK" ]
resources:
requests:
nvidia.com/hostdev: 1
limits:
nvidia.com/hostdev: 1
command:
- sh
- -c
- sleep inf
Network Operator Deployment with a Host Device Network and Macvlan Network
In this combined deployment, different NVIDIA NICs are used for RDMA Shared Device Plugin and SR-IOV Network Device Plugin in order to work with a Host Device Network or a Macvlan Network on different NICs. It is impossible to combine different networking types on the same NICs. The same principle should be applied for other networking combinations.
First install the Network Operator with NFD enabled:
values.yaml:
nfd:
enabled: true
- Once the Network Operator is installed deploy a NicClusterPolicy with:
RDMA shared device plugin with
SR-IOV device plugin, single SR-IOV resource pool
Secondary network
Multus CNI
Container-networking-plugins CNI plugins
RDMA Shared device plugin
Whereabouts IPAM CNI plugin
apiVersion: mellanox.com/v1alpha1
kind: NicClusterPolicy
metadata:
name: nic-cluster-policy
spec:
rdmaSharedDevicePlugin:
# [map[linkTypes:[ether] name:rdma_shared_device_a]]
image: k8s-rdma-shared-dev-plugin
repository: ghcr.io/mellanox
version: v1.5.1
imagePullSecrets: []
# The config below directly propagates to k8s-rdma-shared-device-plugin configuration.
# Replace 'devices' with your (RDMA capable) netdevice name.
config: |
{
"configList": [
{
"resourceName": "rdma_shared_device_a",
"rdmaHcaMax": 63,
"selectors": {
"vendors": [],
"deviceIDs": [],
"drivers": [],
"ifNames": [],
"linkTypes": ["ether"]
}
}
]
}
sriovDevicePlugin:
image: sriov-network-device-plugin
repository: ghcr.io/k8snetworkplumbingwg
version: v3.7.0
imagePullSecrets: []
config: |
{
"resourceList": [
{
"resourcePrefix": "nvidia.com",
"resourceName": "hostdev",
"selectors": {
"vendors": [],
"devices": [],
"drivers": [],
"pfNames": [],
"pciAddresses": [],
"rootDevices": [],
"linkTypes": ["IB"],
"isRdma": true
}
}
]
}
secondaryNetwork:
cniPlugins:
image: plugins
repository: ghcr.io/k8snetworkplumbingwg
version: v1.5.0
imagePullSecrets: []
multus:
image: multus-cni
repository: ghcr.io/k8snetworkplumbingwg
version: v3.9.3
imagePullSecrets: []
ipamPlugin:
image: whereabouts
repository: ghcr.io/k8snetworkplumbingwg
version: v0.7.0
imagePullSecrets: []
For pods and network configuration examples please refer to the corresponding sections: Network Operator Deployment with the RDMA Shared Device Plugin and Network Operator Deployment with a Host Device Network.
Network Operator Deployment with an IP over InfiniBand (IPoIB) Network
In this mode, the Network Operator could be deployed on virtualized deployments as well. It supports both Ethernet and InfiniBand modes. From the Network Operator perspective, there is no difference between the deployment procedures. To work on a VM (virtual machine), the PCI passthrough must be configured for SR-IOV devices. The Network Operator works both with VF (Virtual Function) and PF (Physical Function) inside the VMs.
First install the Network Operator with NFD enabled:
values.yaml:
nfd:
enabled: true
Once the Network Operator is installed create a NicClusterPolicy with: * DOCA driver * RDMA shared device plugin * Secondary network * Multus CNI * IPoIB CNI * Whereabouts IPAM CNI plugin
apiVersion: mellanox.com/v1alpha1
kind: NicClusterPolicy
metadata:
name: nic-cluster-policy
spec:
ofedDriver:
image: doca-driver
repository: nvcr.io/nvidia/mellanox
version: 24.07-0.6.1.0-0
forcePrecompiled: false
imagePullSecrets: []
terminationGracePeriodSeconds: 300
startupProbe:
initialDelaySeconds: 10
periodSeconds: 20
livenessProbe:
initialDelaySeconds: 30
periodSeconds: 30
readinessProbe:
initialDelaySeconds: 10
periodSeconds: 30
upgradePolicy:
autoUpgrade: true
maxParallelUpgrades: 1
safeLoad: false
drain:
enable: true
force: true
podSelector: ""
timeoutSeconds: 300
deleteEmptyDir: true
rdmaSharedDevicePlugin:
# [map[ifNames:[ibs1f0] name:rdma_shared_device_a]]
image: k8s-rdma-shared-dev-plugin
repository: ghcr.io/mellanox
version: v1.5.1
imagePullSecrets: []
# The config below directly propagates to k8s-rdma-shared-device-plugin configuration.
# Replace 'devices' with your (RDMA capable) netdevice name.
config: |
{
"configList": [
{
"resourceName": "rdma_shared_device_a",
"rdmaHcaMax": 63,
"selectors": {
"vendors": [],
"deviceIDs": [],
"drivers": [],
"ifNames": ["ibs1f0"],
"linkTypes": []
}
}
]
}
secondaryNetwork:
cniPlugins:
image: plugins
repository: ghcr.io/k8snetworkplumbingwg
version: v1.5.0
imagePullSecrets: []
multus:
image: multus-cni
repository: ghcr.io/k8snetworkplumbingwg
version: v3.9.3
imagePullSecrets: []
ipoib:
image: ipoib-cni
repository: ghcr.io/mellanox
version: 428715a57c0b633e48ec7620f6e3af6863149ccf
ipamPlugin:
image: whereabouts
repository: ghcr.io/k8snetworkplumbingwg
version: v0.7.0
imagePullSecrets: []
Following the deployment, the network operator should be configured, and K8s networking deployed to use it in the pod configuration.
The ipoib-net.yaml configuration file for such a deployment:
apiVersion: mellanox.com/v1alpha1
kind: IPoIBNetwork
metadata:
name: example-ipoibnetwork
spec:
networkNamespace: "default"
master: "ibs1f0"
ipam: |
{
"type": "whereabouts",
"datastore": "kubernetes",
"kubernetes": {
"kubeconfig": "/etc/cni/net.d/whereabouts.d/whereabouts.kubeconfig"
},
"range": "192.168.5.225/28",
"exclude": [
"192.168.6.229/30",
"192.168.6.236/32"
],
"log_file" : "/var/log/whereabouts.log",
"log_level" : "info",
"gateway": "192.168.6.1"
}
The ipoib-net-ocp.yaml configuration file for such a deployment in the OpenShift Platform:
apiVersion: mellanox.com/v1alpha1
kind: IPoIBNetwork
metadata:
name: example-ipoibnetwork
spec:
networkNamespace: "default"
master: "ibs1f0"
ipam: |
{
"type": "whereabouts",
"range": "192.168.5.225/28",
"exclude": [
"192.168.6.229/30",
"192.168.6.236/32"
]
}
The pod.yaml configuration file for such a deployment:
apiVersion: v1
kind: Pod
metadata:
name: iboip-test-pod
annotations:
k8s.v1.cni.cncf.io/networks: example-ipoibnetwork
spec:
restartPolicy: OnFailure
containers:
- image:
name: mofed-test-ctr
securityContext:
capabilities:
add: [ "IPC_LOCK" ]
resources:
requests:
rdma/rdma_shared_device_a: 1
limits:
edma/rdma_shared_device_a: 1
command:
- sh
- -c
- sleep inf
Network Operator Deployment for GPUDirect Workloads
GPUDirect requires the following:
NVIDIA DOCA Driver v5.5-1.0.3.2 or newer
GPU Operator v1.9.0 or newer
NVIDIA GPU and driver supporting GPUDirect e.g Quadro RTX 6000/8000 or NVIDIA T4/NVIDIA V100/NVIDIA A100
First install the Network Operator with NFD enabled:
values.yaml:
nfd:
enabled: true
Once the Network Operator is installed create a NicClusterPolicy with: * DOCA driver * SR-IOV Device Plugin * Secondary network * Multus CNI * Container Networking plugins * IPAM plugin
apiVersion: mellanox.com/v1alpha1
kind: NicClusterPolicy
metadata:
name: nic-cluster-policy
spec:
ofedDriver:
image: doca-driver
repository: nvcr.io/nvidia/mellanox
version: 24.07-0.6.1.0-0
forcePrecompiled: false
imagePullSecrets: []
terminationGracePeriodSeconds: 300
startupProbe:
initialDelaySeconds: 10
periodSeconds: 20
livenessProbe:
initialDelaySeconds: 30
periodSeconds: 30
readinessProbe:
initialDelaySeconds: 10
periodSeconds: 30
upgradePolicy:
autoUpgrade: true
maxParallelUpgrades: 1
safeLoad: false
drain:
enable: true
force: true
podSelector: ""
timeoutSeconds: 300
deleteEmptyDir: true
sriovDevicePlugin:
image: sriov-network-device-plugin
repository: ghcr.io/k8snetworkplumbingwg
version: v3.7.0
imagePullSecrets: []
config: |
{
"resourceList": [
{
"resourcePrefix": "nvidia.com",
"resourceName": "hostdev",
"selectors": {
"vendors": ["15b3"],
"devices": [],
"drivers": [],
"pfNames": [],
"pciAddresses": [],
"rootDevices": [],
"linkTypes": [],
"isRdma": true
}
}
]
}
secondaryNetwork:
cniPlugins:
image: plugins
repository: ghcr.io/k8snetworkplumbingwg
version: v1.5.0
imagePullSecrets: []
multus:
image: multus-cni
repository: ghcr.io/k8snetworkplumbingwg
version: v3.9.3
imagePullSecrets: []
ipamPlugin:
image: whereabouts
repository: ghcr.io/k8snetworkplumbingwg
version: v0.7.0
imagePullSecrets: []
host-device-net.yaml:
apiVersion: mellanox.com/v1alpha1
kind: HostDeviceNetwork
metadata:
name: hostdevice-net
spec:
networkNamespace: "default"
resourceName: "hostdev"
ipam: |
{
"type": "whereabouts",
"datastore": "kubernetes",
"kubernetes": {
"kubeconfig": "/etc/cni/net.d/whereabouts.d/whereabouts.kubeconfig"
},
"range": "192.168.3.225/28",
"exclude": [
"192.168.3.229/30",
"192.168.3.236/32"
],
"log_file" : "/var/log/whereabouts.log",
"log_level" : "info"
}
The host-device-net-ocp.yaml configuration file for such a deployment in the OpenShift Platform:
apiVersion: mellanox.com/v1alpha1
kind: HostDeviceNetwork
metadata:
name: hostdevice-net
spec:
networkNamespace: "default"
resourceName: "hostdev"
ipam: |
{
"type": "whereabouts",
"range": "192.168.3.225/28",
"exclude": [
"192.168.3.229/30",
"192.168.3.236/32"
]
}
host-net-gpudirect-pod.yaml
apiVersion: v1
kind: Pod
metadata:
name: testpod1
annotations:
k8s.v1.cni.cncf.io/networks: hostdevice-net
spec:
containers:
- name: appcntr1
image: <image>
imagePullPolicy: IfNotPresent
securityContext:
capabilities:
add: ["IPC_LOCK"]
command:
- sh
- -c
- sleep inf
resources:
requests:
nvidia.com/hostdev: '1'
nvidia.com/gpu: '1'
limits:
nvidia.com/hostdev: '1'
nvidia.com/gpu: '1'
Network Operator Deployment in SR-IOV Legacy Mode
The SR-IOV Network Operator will be deployed with the default configuration. You can override these settings using a CLI argument, or the ‘sriov-network-operator’ section in the values.yaml file. For more information, refer to the Project Documentation.
This deployment mode supports SR-IOV in legacy mode.
First install the Network Operator with NFD and SRIOV Network Operator enabled:
values.yaml:
nfd:
enabled: true
sriovNetworkOperator:
enabled: true
Once the Network Operator is installed create a NicClusterPolicy with: * DOCA driver * Secondary network * Multus CNI * IPoIB CNI * IPAM CNI plugin
apiVersion: mellanox.com/v1alpha1
kind: NicClusterPolicy
metadata:
name: nic-cluster-policy
spec:
ofedDriver:
image: doca-driver
repository: nvcr.io/nvidia/mellanox
version: 24.07-0.6.1.0-0
forcePrecompiled: false
imagePullSecrets: []
terminationGracePeriodSeconds: 300
startupProbe:
initialDelaySeconds: 10
periodSeconds: 20
livenessProbe:
initialDelaySeconds: 30
periodSeconds: 30
readinessProbe:
initialDelaySeconds: 10
periodSeconds: 30
upgradePolicy:
autoUpgrade: true
maxParallelUpgrades: 1
safeLoad: false
drain:
enable: true
force: true
podSelector: ""
timeoutSeconds: 300
deleteEmptyDir: true
secondaryNetwork:
cniPlugins:
image: plugins
repository: ghcr.io/k8snetworkplumbingwg
version: v1.5.0
imagePullSecrets: []
multus:
image: multus-cni
repository: ghcr.io/k8snetworkplumbingwg
version: v3.9.3
imagePullSecrets: []
ipamPlugin:
image: whereabouts
repository: ghcr.io/k8snetworkplumbingwg
version: v0.7.0
imagePullSecrets: []
Following the deployment, the Network Operator should be configured, and sriovnetwork node policy and K8s networking should be deployed.
The sriovnetwork-node-policy.yaml configuration file for such a deployment:
apiVersion: sriovnetwork.openshift.io/v1
kind: SriovNetworkNodePolicy
metadata:
name: policy-1
namespace: nvidia-network-operator
spec:
deviceType: netdevice
mtu: 1500
nicSelector:
vendor: "15b3"
pfNames: ["ens2f0"]
nodeSelector:
feature.node.kubernetes.io/pci-15b3.present: "true"
numVfs: 8
priority: 90
isRdma: true
resourceName: sriov_resource
The sriovnetwork.yaml configuration file for such a deployment:
apiVersion: sriovnetwork.openshift.io/v1
kind: SriovNetwork
metadata:
name: "example-sriov-network"
namespace: nvidia-network-operator
spec:
vlan: 0
networkNamespace: "default"
resourceName: "sriov_resource"
ipam: |-
{
"datastore": "kubernetes",
"kubernetes": {
"kubeconfig": "/etc/cni/net.d/whereabouts.d/whereabouts.kubeconfig"
},
"log_file": "/tmp/whereabouts.log",
"log_level": "debug",
"type": "whereabouts",
"range": "192.168.101.0/24"
}
The ens2f0 network interface name has been chosen from the following command output: kubectl -n nvidia-network-operator get sriovnetworknodestates.sriovnetwork.openshift.io -o yaml.
...
status:
interfaces:
- deviceID: 101d
driver: mlx5_core
linkSpeed: 100000 Mb/s
linkType: ETH
mac: 0c:42:a1:2b:74:ae
mtu: 1500
name: ens2f0
pciAddress: "0000:07:00.0"
totalvfs: 8
vendor: 15b3
- deviceID: 101d
driver: mlx5_core
linkType: ETH
mac: 0c:42:a1:2b:74:af
mtu: 1500
name: ens2f1
pciAddress: "0000:07:00.1"
totalvfs: 8
vendor: 15b3
...
Wait for all required pods to be spawned:
# kubectl get pod -n nvidia-network-operator | grep sriov
network-operator-sriov-network-operator-544c8dbbb9-vzkmc 1/1 Running 0 5d
sriov-device-plugin-vwpzn 1/1 Running 0 2d6h
sriov-network-config-daemon-qv467 3/3 Running 0 5d
# kubectl get pod -n nvidia-network-operator
NAME READY STATUS RESTARTS AGE
cni-plugins-ds-kbvnm 1/1 Running 0 5d
cni-plugins-ds-pcllg 1/1 Running 0 5d
kube-multus-ds-5j6ns 1/1 Running 0 5d
kube-multus-ds-mxgvl 1/1 Running 0 5d
mofed-ubuntu20.04-ds-2zzf4 1/1 Running 0 5d
mofed-ubuntu20.04-ds-rfnsw 1/1 Running 0 5d
whereabouts-nw7hn 1/1 Running 0 5d
whereabouts-zvhrv 1/1 Running 0 5d
...
The pod.yaml configuration file for such a deployment:
apiVersion: v1
kind: Pod
metadata:
name: testpod1
annotations:
k8s.v1.cni.cncf.io/networks: example-sriov-network
spec:
containers:
- name: appcntr1
image: <image>
imagePullPolicy: IfNotPresent
securityContext:
capabilities:
add: ["IPC_LOCK"]
resources:
requests:
nvidia.com/sriov_resource: '1'
limits:
nvidia.com/sriov_resource: '1'
command:
- sh
- -c
- sleep inf
SR-IOV Network Operator Deployment – Parallel Node Configuration for SR-IOV
This feature is supported only for Vanilla Kubernetes deployments with SR-IOV Network Operator.
To apply SR-IOV configuration on several nodes in parallel, create a SriovNetworkPoolConfig CR and specify the maximum number or percentage of nodes that can be unavailable at the same time:
sriov-network-pool-config-number.yaml
apiVersion: sriovnetwork.openshift.io/v1
kind: SriovNetworkPoolConfig
metadata:
name: pool-1
namespace: nvidia-network-operator
spec:
maxUnavailable: "20"
nodeSelector:
- matchExpressions:
- key: some-label
operator: In
values:
- val-2
- matchExpressions:
- key: other-label
operator: "Exists"
sriov-network-pool-config-percent.yaml
apiVersion: sriovnetwork.openshift.io/v1
kind: SriovNetworkPoolConfig
metadata:
name: pool-1
namespace: nvidia-network-operator
spec:
maxUnavailable: "10%"
nodeSelector:
- matchExpressions:
- key: some-label
operator: In
values:
- val-2
- matchExpressions:
- key: other-label
operator: "Exists"
Upgrade from NVIDIA Network Operator v24.1.0
To upgrade SR-IOV Network operator you need to create SriovNetworkPoolConfig CR with the number of nodes to be configured in a parallel as we did in SriovOperatorConfig` in previous releases.
E.g.: old method to configure nodes in a parallel:
kubectl patch sriovoperatorconfigs.sriovnetwork.openshift.io -n nvidia-network-operator default --patch '{ "spec": { "maxParallelNodeConfiguration": 5 } }' --type='merge'
New method to configure nodes in a parallel:
sriov-network-pool-config-new.yaml
apiVersion: sriovnetwork.openshift.io/v1
kind: SriovNetworkPoolConfig
metadata:
name: pool-1
namespace: nvidia-network-operator
spec:
maxUnavailable: "5"
nodeSelector:
- matchExpressions:
- key: node-role.kubernetes.io/master
operator: Exists
SR-IOV Network Operator Deployment – Parallel NIC Configuration for SR-IOV
This feature is supported only for Vanilla Kubernetes deployments with SR-IOV Network Operator.
To apply SriovNetworkNodePolicy on several nodes in parallel, specify the featureGates option in the SriovOperatorConfig CRD:
kubectl patch sriovoperatorconfigs.sriovnetwork.openshift.io -n nvidia-network-operator default --patch '{ "spec": { "featureGates": { "parallelNicConfig": true } } }' --type='merge'
SR-IOV Network Operator Deployment – SR-IOV Using the systemd Service
To enable systemd SR-IOV configuration mode, specify the configurationMode option in the SriovOperatorConfig CRD:
kubectl patch sriovoperatorconfigs.sriovnetwork.openshift.io -n nvidia-network-operator default --patch '{ "spec": { "configurationMode": "systemd"} }' --type='merge'
Network Operator Deployment with an SR-IOV InfiniBand Network
Network Operator deployment with InfiniBand network requires the following:
NVIDIA DOCA Driver and OpenSM running. OpenSM runs on top of the NVIDIA DOCA Driver stack, so both the driver and the subnet manager should come from the same installation. Note that partitions that are configured by OpenSM should specify defmember=full to enable the SR-IOV functionality over InfiniBand. For more details, please refer to this article.
InfiniBand device – Both the host device and switch ports must be enabled in InfiniBand mode.
rdma-core package should be installed when an inbox driver is used.
First install the Network Operator with NFD and SR-IOV Network Operator enabled:
values.yaml
nfd:
enabled: true
sriovNetworkOperator:
enabled: true
Once the Network Operator is installed create a NicClusterPolicy with: * DOCA driver * Secondary network * Multus CNI * Container Networking Plugins * IPAM plugin
apiVersion: mellanox.com/v1alpha1
kind: NicClusterPolicy
metadata:
name: nic-cluster-policy
spec:
ofedDriver:
image: doca-driver
repository: nvcr.io/nvidia/mellanox
version: 24.07-0.6.1.0-0
forcePrecompiled: false
imagePullSecrets: []
terminationGracePeriodSeconds: 300
startupProbe:
initialDelaySeconds: 10
periodSeconds: 20
livenessProbe:
initialDelaySeconds: 30
periodSeconds: 30
readinessProbe:
initialDelaySeconds: 10
periodSeconds: 30
upgradePolicy:
autoUpgrade: true
maxParallelUpgrades: 1
safeLoad: false
drain:
enable: true
force: true
podSelector: ""
timeoutSeconds: 300
deleteEmptyDir: true
secondaryNetwork:
cniPlugins:
image: plugins
repository: ghcr.io/k8snetworkplumbingwg
version: v1.5.0
imagePullSecrets: []
multus:
image: multus-cni
repository: ghcr.io/k8snetworkplumbingwg
version: v3.9.3
imagePullSecrets: []
ipamPlugin:
image: whereabouts
repository: ghcr.io/k8snetworkplumbingwg
version: v0.7.0
imagePullSecrets: []
sriov-ib-network-node-policy.yaml
apiVersion: sriovnetwork.openshift.io/v1
kind: SriovNetworkNodePolicy
metadata:
name: infiniband-sriov
namespace: nvidia-network-operator
spec:
deviceType: netdevice
mtu: 1500
nodeSelector:
feature.node.kubernetes.io/pci-15b3.present: "true"
nicSelector:
vendor: "15b3"
linkType: IB
isRdma: true
numVfs: 8
priority: 90
resourceName: mlnxnics
sriov-ib-network.yaml
apiVersion: sriovnetwork.openshift.io/v1
kind: SriovIBNetwork
metadata:
name: example-sriov-ib-network
namespace: nvidia-network-operator
spec:
ipam: |
{
"type": "whereabouts",
"datastore": "kubernetes",
"kubernetes": {
"kubeconfig": "/etc/cni/net.d/whereabouts.d/whereabouts.kubeconfig"
},
"range": "192.168.5.225/28",
"exclude": [
"192.168.5.229/30",
"192.168.5.236/32"
],
"log_file": "/var/log/whereabouts.log",
"log_level": "info"
}
resourceName: mlnxnics
linkState: enable
networkNamespace: default
sriov-ib-network-pod.yaml
apiVersion: v1
kind: Pod
metadata:
name: test-sriov-ib-pod
annotations:
k8s.v1.cni.cncf.io/networks: example-sriov-ib-network
spec:
containers:
- name: test-sriov-ib-pod
image: centos/tools
imagePullPolicy: IfNotPresent
command:
- sh
- -c
- sleep inf
securityContext:
capabilities:
add: [ "IPC_LOCK" ]
resources:
requests:
nvidia.com/mlnxics: "1"
limits:
nvidia.com/mlnxics: "1"
Network Operator Deployment with an SR-IOV InfiniBand Network with PKey Management
Network Operator deployment with InfiniBand network requires the following:
NVIDIA DOCA Driver and OpenSM running. OpenSM runs on top of the NVIDIA DOCA Driver stack, so both the driver and the subnet manager should come from the same installation. Note that partitions that are configured by OpenSM should specify defmember=full to enable the SR-IOV functionality over InfiniBand. For more details, please refer to this article.
NVIDIA UFM running on top of OpenSM. For more details, please refer to the project documentation.
InfiniBand device – Both the host device and the switch ports must be enabled in InfiniBand mode.
rdma-core package should be installed when an inbox driver is used.
Current limitations:
Only a single PKey can be configured per workload pod.
When a single instance of NVIDIA UFM is used with several K8s clusters, different PKey GUID pools should be configured for each cluster.
ib-kubernetes-ufm-secret should be created before NicClusterPolicy.
ufm-secret.yaml
apiVersion: v1
kind: Secret
metadata:
name: ib-kubernetes-ufm-secret
namespace: nvidia-network-operator
stringData:
UFM_USERNAME: "admin"
UFM_PASSWORD: "123456"
UFM_ADDRESS: "ufm-host"
UFM_HTTP_SCHEMA: ""
UFM_PORT: ""
data:
UFM_CERTIFICATE: ""
First install the Network Operator with NFD enabled:
values.yaml
nfd:
enabled: true
sriovNetworkOperator:
enabled: true
resourcePrefix: "nvidia.com"
Once the Network Operator is installed create a NicClusterPolicy with: * DOCA driver * ibKubernetes * Secondary network * Multus CNI * Container Networking plugins * IPAM Plugin
apiVersion: mellanox.com/v1alpha1
kind: NicClusterPolicy
metadata:
name: nic-cluster-policy
spec:
ofedDriver:
image: doca-driver
repository: nvcr.io/nvidia/mellanox
version: 24.07-0.6.1.0-0
forcePrecompiled: false
imagePullSecrets: []
terminationGracePeriodSeconds: 300
startupProbe:
initialDelaySeconds: 10
periodSeconds: 20
livenessProbe:
initialDelaySeconds: 30
periodSeconds: 30
readinessProbe:
initialDelaySeconds: 10
periodSeconds: 30
upgradePolicy:
autoUpgrade: true
maxParallelUpgrades: 1
safeLoad: false
drain:
enable: true
force: true
podSelector: ""
timeoutSeconds: 300
deleteEmptyDir: true
ibKubernetes:
image: ib-kubernetes
repository: ghcr.io/mellanox
version: v1.0.2
imagePullSecrets: []
pKeyGUIDPoolRangeStart: 02:00:00:00:00:00:00:00
pKeyGUIDPoolRangeEnd: 02:FF:FF:FF:FF:FF:FF:FF
ufmSecret: "ufm-secret"
nvIpam:
image: nvidia-k8s-ipam
repository: ghcr.io/mellanox
version: v0.2.0
imagePullSecrets: []
enableWebhook: false
secondaryNetwork:
cniPlugins:
image: plugins
repository: ghcr.io/k8snetworkplumbingwg
version: v1.5.0
imagePullSecrets: []
multus:
image: multus-cni
repository: ghcr.io/k8snetworkplumbingwg
version: v3.9.3
imagePullSecrets: []
Create IPPool object for nv-ipam
apiVersion: nv-ipam.nvidia.com/v1alpha1
kind: IPPool
metadata:
name: pool1
namespace: nvidia-network-operator
spec:
subnet: 192.168.0.0/16
perNodeBlockSize: 100
gateway: 192.168.0.1
nodeSelector:
nodeSelectorTerms:
- matchExpressions:
- key: node-role.kubernetes.io/worker
operator: Exists
Wait for NVIDIA DOCA Driver to install and apply the following CRs:
sriov-ib-network-node-policy.yaml
apiVersion: sriovnetwork.openshift.io/v1
kind: SriovNetworkNodePolicy
metadata:
name: infiniband-sriov
namespace: nvidia-network-operator
spec:
deviceType: netdevice
mtu: 1500
nodeSelector:
feature.node.kubernetes.io/pci-15b3.present: "true"
nicSelector:
vendor: "15b3"
linkType: IB
isRdma: true
numVfs: 8
priority: 90
resourceName: mlnxnics
sriov-ib-network.yaml
apiVersion: "k8s.cni.cncf.io/v1"
kind: NetworkAttachmentDefinition
metadata:
name: ib-sriov-network
annotations:
k8s.v1.cni.cncf.io/resourceName: nvidia.com/mlnxnics
spec:
config: '{
"type":"ib-sriov",
"cniVersion":"0.3.1",
"name":"ib-sriov-network",
"pkey":"0x6",
"link_state":"enable",
"ibKubernetesEnabled":true,
"ipam":{
"type":"nv-ipam",
"poolName":"pool1"
}
}'
To use the IB network with Pkey management feature with RDMA isolation, use the following sriov-ib-network.yaml:
apiVersion: "k8s.cni.cncf.io/v1"
kind: NetworkAttachmentDefinition
metadata:
name: ib-sriov-network
annotations:
k8s.v1.cni.cncf.io/resourceName: nvidia.com/mlnxnics
spec:
config: '{
"cniVersion":"0.3.1",
"name":"ib-sriov-network",
"plugins":[
{
"type":"ib-sriov",
"pkey":"0x6",
"link_state":"enable",
"ibKubernetesEnabled":true,
"ipam":{
"type":"nv-ipam",
"poolName":"pool1"
}
},
{
"type":"rdma"
}
]
}'
sriov-ib-network-pod.yaml
apiVersion: v1
kind: Pod
metadata:
name: test-sriov-ib-pod
annotations:
k8s.v1.cni.cncf.io/networks: ib-sriob-network
spec:
containers:
- name: test-sriov-ib-pod
image: centos/tools
imagePullPolicy: IfNotPresent
command:
- sh
- -c
- sleep inf
securityContext:
capabilities:
add: [ "IPC_LOCK" ]
resources:
requests:
nvidia.com/mlnxics: "1"
limits:
nvidia.com/mlnxics: "1"
Network Operator Deployment for DPDK Workloads with NicClusterPolicy
This deployment mode supports DPDK applications. In order to run DPDK applications, HUGEPAGE should be configured on the required K8s Worker Nodes. By default, the inbox operating system driver is used. For support of cases with specific requirements, OFED container should be deployed.
Network Operator deployment with:
Host Device Network
DPDK pod
nicclusterpolicy.yaml
apiVersion: mellanox.com/v1alpha1
kind: NicClusterPolicy
metadata:
name: nic-cluster-policy
spec:
ofedDriver:
image: doca-driver
repository: nvcr.io/nvidia/mellanox
version: 24.07-0.6.1.0-0
sriovDevicePlugin:
image: sriov-network-device-plugin
repository: ghcr.io/k8snetworkplumbingwg
version: v3.7.0
config: |
{
"resourceList": [
{
"resourcePrefix": "nvidia.com",
"resourceName": "rdma_host_dev",
"selectors": {
"vendors": ["15b3"],
"devices": ["1018"],
"drivers": ["mlx5_core"]
}
}
]
}
secondaryNetwork:
cniPlugins:
image: plugins
repository: ghcr.io/k8snetworkplumbingwg
version: v1.5.0-amd64
ipamPlugin:
image: whereabouts
repository: ghcr.io/k8snetworkplumbingwg
version: v0.7.0-amd64
multus:
image: multus-cni
repository: ghcr.io/k8snetworkplumbingwg
version: v3.9.3
host-device-net.yaml
apiVersion: mellanox.com/v1alpha1
kind: HostDeviceNetwork
metadata:
name: example-hostdev-net
spec:
networkNamespace: "default"
resourceName: "rdma_host_dev"
ipam: |
{
"type": "whereabouts",
"datastore": "kubernetes",
"kubernetes": {
"kubeconfig": "/etc/cni/net.d/whereabouts.d/whereabouts.kubeconfig"
},
"range": "192.168.3.225/28",
"exclude": [
"192.168.3.229/30",
"192.168.3.236/32"
],
"log_file" : "/var/log/whereabouts.log",
"log_level" : "info"
}
pod.yaml
apiVersion: v1
kind: Pod
metadata:
name: testpod1
annotations:
k8s.v1.cni.cncf.io/networks: example-hostdev-net
spec:
containers:
- name: appcntr1
image: <dpdk image>
imagePullPolicy: IfNotPresent
securityContext:
capabilities:
add: ["IPC_LOCK"]
volumeMounts:
- mountPath: /dev/hugepages
name: hugepage
resources:
requests:
memory: 1Gi
hugepages-1Gi: 2Gi
nvidia.com/rdma_host_dev: '1'
command: [ "/bin/bash", "-c", "--" ]
args: [ "whiletrue;dosleep300000;done;" ]
volumes:
- name: hugepage
emptyDir:
medium: HugePages
Network Operator Deployment and OpenvSwitch offload
This feature is supported only for Vanilla Kubernetes deployments with SR-IOV Network Operator.
To use OFED container with this mode of operation, set the RESTORE_DRIVER_ON_POD_TERMINATION environment variable to false in the driver configuration section in the NicClusterPolicy. Restoration to the inbox driver is not supported for this feature.
Tech Preview feature.
Network Operator Configuration
Deploy network-operator by Helm with sriov-network-operator and nv-ipam.
First install the Network Operator with NFD enabled:
values.yaml
sriovNetworkOperator:
enabled: true
Once the Network Operator has been installed create a NicClusterPolicy with nv-ipam:
apiVersion: mellanox.com/v1alpha1
kind: NicClusterPolicy
metadata:
name: nic-cluster-policy
spec:
nvIpam:
image: nvidia-k8s-ipam
repository: ghcr.io/mellanox
version: v0.2.0
imagePullSecrets: []
enableWebhook: false
Enable manageSoftwareBridges featureGate for sriov-network-operator
kubectl patch sriovoperatorconfigs.sriovnetwork.openshift.io -n nvidia-network-operator default --patch '{ "spec": { "featureGates": { "manageSoftwareBridges": true } } }' --type='merge'
Create IPPool object for nv-ipam
apiVersion: nv-ipam.nvidia.com/v1alpha1
kind: IPPool
metadata:
name: pool1
namespace: nvidia-network-operator
spec:
subnet: 192.168.0.0/16
perNodeBlockSize: 100
gateway: 192.168.0.1
nodeSelector:
nodeSelectorTerms:
- matchExpressions:
- key: node-role.kubernetes.io/worker
operator: Exists
Prerequisites for Worker Nodes
Supported operating systems:
Ubuntu 22.04
RHEL 8.8
OpenvSwitch from the NVIDIA DOCA for Host package with doca-all or doca-networking profile should be installed on each worker node.
Check NVIDIA DOCA Official installation guide for details.
Supported OpenvSwitch dataplanes:
OVS-kernel
OVS-doca
Check OpenvSwitch Offload document to know about differences.
OVS-kernel
These steps are for OVS-kernel data plane, to use OVS-doca follow instructions from the relevant section.
Prepare Worker Nodes
Configure Open_vSwitch
ovs-vsctl set Open_vSwitch . other_config:hw-offload=true
Restart Open_vSwitch
systemctl restart openvswitch-switch.service
Sriov Network Operator Configuration
Create SriovNetworkNodePolicy for selected NIC
apiVersion: sriovnetwork.openshift.io/v1
kind: SriovNetworkNodePolicy
metadata:
name: ovs-switchdev
namespace: nvidia-network-operator
spec:
eSwitchMode: switchdev
mtu: 1500
nicSelector:
deviceID: 101d
vendor: 15b3
nodeSelector:
node-role.kubernetes.io/worker: ""
numVfs: 4
isRdma: true
linkType: ETH
resourceName: switchdev
bridge:
ovs: {}
Create OVSNetwork CR
apiVersion: sriovnetwork.openshift.io/v1
kind: OVSNetwork
metadata:
name: ovs
namespace: nvidia-network-operator
spec:
networkNamespace: default
ipam: |
{
"type": "nv-ipam",
"poolName": "pool1"
}
resourceName: switchdev
OVS-doca
These steps are for OVS-doca data plane, to use OVS-kernel follow instructions from the relevant section.
Prepare Worker Nodes
Configure hugepages
mkdir -p /hugepages
mount -t hugetlbfs hugetlbfs /hugepages
echo 4096 > /sys/devices/system/node/node0/hugepages/hugepages-2048kB/nr_hugepages
Note: for multi CPU system hugepages should be created for each NUMA node: node0, node1, …
Configure system to create hugepages on boot
echo "vm.nr_hugepages=8192" > /etc/sysctl.d/99-hugepages.conf
Note: this example is for a server with two CPU
Configure Open_vSwitch
ovs-vsctl --no-wait set Open_vSwitch . other_config:doca-init=true
ovs-vsctl set Open_vSwitch . other_config:hw-offload=true
Restart Open_vSwitch
systemctl restart openvswitch-switch.service
Sriov Network Operator Configuration
Create SriovNetworkNodePolicy for selected NIC
apiVersion: sriovnetwork.openshift.io/v1
kind: SriovNetworkNodePolicy
metadata:
name: ovs-switchdev
namespace: nvidia-network-operator
spec:
eSwitchMode: switchdev
mtu: 1500
nicSelector:
deviceID: 101d
vendor: 15b3
nodeSelector:
node-role.kubernetes.io/worker: ""
numVfs: 4
isRdma: true
linkType: ETH
resourceName: switchdev
bridge:
ovs:
bridge:
datapathType: netdev
uplink:
interface:
type: dpdk
Create OVSNetwork CR
apiVersion: sriovnetwork.openshift.io/v1
kind: OVSNetwork
metadata:
name: ovs
namespace: nvidia-network-operator
spec:
networkNamespace: default
ipam: |
{
"type": "nv-ipam",
"poolName": "pool1"
}
resourceName: switchdev
interfaceType: dpdk
Test Workload
apiVersion: apps/v1
kind: Deployment
metadata:
name: ovs-offload
labels:
app: ovs-offload
spec:
replicas: 2
selector:
matchLabels:
app: ovs-offload
template:
metadata:
labels:
app: ovs-offload
annotations:
k8s.v1.cni.cncf.io/networks: ovs
spec:
containers:
- name: ovs-offload-container
command: ["/bin/bash", "-c"]
args:
- |
while true; do sleep 1000; done
image: mellanox/rping-test
securityContext:
capabilities:
add: ["IPC_LOCK"]
resources:
requests:
nvidia.com/switchdev: 1
limits:
nvidia.com/switchdev: 1
Troubleshooting OVS
For OVS hardware offload verification and troubleshooting steps, please refer to the following DOCA documentation: