$ oc label node <node_name> nvidia.com/gpu.deploy.operands=false (1)
The Peripheral Component Interconnect (PCI) passthrough feature enables you to access and manage hardware devices from a virtual machine (VM). When PCI passthrough is configured, the PCI devices function as if they were physically attached to the guest operating system.
Cluster administrators can expose and manage host devices that are permitted to be used in the cluster by using the oc
command-line interface (CLI).
You can prevent GPU operands from deploying on worker nodes that you designated for GPU passthrough.
If you use the NVIDIA GPU Operator in your cluster, you can apply the nvidia.com/gpu.deploy.operands=false
label to nodes that you do not want to configure for GPU or vGPU operands. This label prevents the creation of the pods that configure GPU or vGPU operands and terminates the pods if they already exist.
The OpenShift CLI (oc
) is installed.
Label the node by running the following command:
$ oc label node <node_name> nvidia.com/gpu.deploy.operands=false (1)
1 | Replace <node_name> with the name of a node where you do not want to install the NVIDIA GPU operands. |
Verify that the label was added to the node by running the following command:
$ oc describe node <node_name>
Optional: If GPU operands were previously deployed on the node, verify their removal.
Check the status of the pods in the nvidia-gpu-operator
namespace by running the following command:
$ oc get pods -n nvidia-gpu-operator
NAME READY STATUS RESTARTS AGE
gpu-operator-59469b8c5c-hw9wj 1/1 Running 0 8d
nvidia-sandbox-validator-7hx98 1/1 Running 0 8d
nvidia-sandbox-validator-hdb7p 1/1 Running 0 8d
nvidia-sandbox-validator-kxwj7 1/1 Terminating 0 9d
nvidia-vfio-manager-7w9fs 1/1 Running 0 8d
nvidia-vfio-manager-866pz 1/1 Running 0 8d
nvidia-vfio-manager-zqtck 1/1 Terminating 0 9d
Monitor the pod status until the pods with Terminating
status are removed:
$ oc get pods -n nvidia-gpu-operator
NAME READY STATUS RESTARTS AGE
gpu-operator-59469b8c5c-hw9wj 1/1 Running 0 8d
nvidia-sandbox-validator-7hx98 1/1 Running 0 8d
nvidia-sandbox-validator-hdb7p 1/1 Running 0 8d
nvidia-vfio-manager-7w9fs 1/1 Running 0 8d
nvidia-vfio-manager-866pz 1/1 Running 0 8d
To prepare a host device for PCI passthrough by using the CLI, create a MachineConfig
object and add kernel arguments to enable the Input-Output Memory Management Unit (IOMMU). Bind the PCI device to the Virtual Function I/O (VFIO) driver and then expose it in the cluster by editing the permittedHostDevices
field of the HyperConverged
custom resource (CR). The permittedHostDevices
list is empty when you first install the OpenShift Virtualization Operator.
To remove a PCI host device from the cluster by using the CLI, delete the PCI device information from the HyperConverged
CR.
To enable the IOMMU driver in the kernel, create the MachineConfig
object and add the kernel arguments.
You have cluster administrator permissions.
Your CPU hardware is Intel or AMD.
You enabled Intel Virtualization Technology for Directed I/O extensions or AMD IOMMU in the BIOS.
Create a MachineConfig
object that identifies the kernel argument. The following example shows a kernel argument for an Intel CPU.
apiVersion: machineconfiguration.openshift.io/v1
kind: MachineConfig
metadata:
labels:
machineconfiguration.openshift.io/role: worker (1)
name: 100-worker-iommu (2)
spec:
config:
ignition:
version: 3.2.0
kernelArguments:
- intel_iommu=on (3)
# ...
1 | Applies the new kernel argument only to worker nodes. |
2 | The name indicates the ranking of this kernel argument (100) among the machine configs and its purpose. If you have an AMD CPU, specify the kernel argument as amd_iommu=on . |
3 | Identifies the kernel argument as intel_iommu for an Intel CPU. |
Create the new MachineConfig
object:
$ oc create -f 100-worker-kernel-arg-iommu.yaml
Verify that the new MachineConfig
object was added.
$ oc get MachineConfig
To bind PCI devices to the VFIO (Virtual Function I/O) driver, obtain the values for vendor-ID
and device-ID
from each device and create a list with the values. Add this list to the MachineConfig
object. The MachineConfig
Operator generates the /etc/modprobe.d/vfio.conf
on the nodes with the PCI devices, and binds the PCI devices to the VFIO driver.
You added kernel arguments to enable IOMMU for the CPU.
Run the lspci
command to obtain the vendor-ID
and the device-ID
for the PCI device.
$ lspci -nnv | grep -i nvidia
02:01.0 3D controller [0302]: NVIDIA Corporation GV100GL [Tesla V100 PCIe 32GB] [10de:1eb8] (rev a1)
Create a Butane config file, 100-worker-vfiopci.bu
, binding the PCI device to the VFIO driver.
See "Creating machine configs with Butane" for information about Butane. |
variant: openshift
version: 4.15.0
metadata:
name: 100-worker-vfiopci
labels:
machineconfiguration.openshift.io/role: worker (1)
storage:
files:
- path: /etc/modprobe.d/vfio.conf
mode: 0644
overwrite: true
contents:
inline: |
options vfio-pci ids=10de:1eb8 (2)
- path: /etc/modules-load.d/vfio-pci.conf (3)
mode: 0644
overwrite: true
contents:
inline: vfio-pci
1 | Applies the new kernel argument only to worker nodes. |
2 | Specify the previously determined vendor-ID value (10de ) and the device-ID value (1eb8 ) to bind a single device to the VFIO driver. You can add a list of multiple devices with their vendor and device information. |
3 | The file that loads the vfio-pci kernel module on the worker nodes. |
Use Butane to generate a MachineConfig
object file, 100-worker-vfiopci.yaml
, containing the configuration to be delivered to the worker nodes:
$ butane 100-worker-vfiopci.bu -o 100-worker-vfiopci.yaml
Apply the MachineConfig
object to the worker nodes:
$ oc apply -f 100-worker-vfiopci.yaml
Verify that the MachineConfig
object was added.
$ oc get MachineConfig
NAME GENERATEDBYCONTROLLER IGNITIONVERSION AGE
00-master d3da910bfa9f4b599af4ed7f5ac270d55950a3a1 3.2.0 25h
00-worker d3da910bfa9f4b599af4ed7f5ac270d55950a3a1 3.2.0 25h
01-master-container-runtime d3da910bfa9f4b599af4ed7f5ac270d55950a3a1 3.2.0 25h
01-master-kubelet d3da910bfa9f4b599af4ed7f5ac270d55950a3a1 3.2.0 25h
01-worker-container-runtime d3da910bfa9f4b599af4ed7f5ac270d55950a3a1 3.2.0 25h
01-worker-kubelet d3da910bfa9f4b599af4ed7f5ac270d55950a3a1 3.2.0 25h
100-worker-iommu 3.2.0 30s
100-worker-vfiopci-configuration 3.2.0 30s
Verify that the VFIO driver is loaded.
$ lspci -nnk -d 10de:
The output confirms that the VFIO driver is being used.
04:00.0 3D controller [0302]: NVIDIA Corporation GP102GL [Tesla P40] [10de:1eb8] (rev a1) Subsystem: NVIDIA Corporation Device [10de:1eb8] Kernel driver in use: vfio-pci Kernel modules: nouveau
To expose PCI host devices in the cluster, add details about the PCI devices to the spec.permittedHostDevices.pciHostDevices
array of the HyperConverged
custom resource (CR).
Edit the HyperConverged
CR in your default editor by running the following command:
$ oc edit hyperconverged kubevirt-hyperconverged -n openshift-cnv
Add the PCI device information to the spec.permittedHostDevices.pciHostDevices
array. For example:
apiVersion: hco.kubevirt.io/v1
kind: HyperConverged
metadata:
name: kubevirt-hyperconverged
namespace: openshift-cnv
spec:
permittedHostDevices: (1)
pciHostDevices: (2)
- pciDeviceSelector: "10DE:1DB6" (3)
resourceName: "nvidia.com/GV100GL_Tesla_V100" (4)
- pciDeviceSelector: "10DE:1EB8"
resourceName: "nvidia.com/TU104GL_Tesla_T4"
- pciDeviceSelector: "8086:6F54"
resourceName: "intel.com/qat"
externalResourceProvider: true (5)
# ...
1 | The host devices that are permitted to be used in the cluster. |
2 | The list of PCI devices available on the node. |
3 | The vendor-ID and the device-ID required to identify the PCI device. |
4 | The name of a PCI host device. |
5 | Optional: Setting this field to true indicates that the resource is provided by an external device plugin. OpenShift Virtualization allows the usage of this device in the cluster but leaves the allocation and monitoring to an external device plugin. |
The above example snippet shows two PCI host devices that are named |
Save your changes and exit the editor.
Verify that the PCI host devices were added to the node by running the following command. The example output shows that there is one device each associated with the nvidia.com/GV100GL_Tesla_V100
, nvidia.com/TU104GL_Tesla_T4
, and intel.com/qat
resource names.
$ oc describe node <node_name>
Capacity:
cpu: 64
devices.kubevirt.io/kvm: 110
devices.kubevirt.io/tun: 110
devices.kubevirt.io/vhost-net: 110
ephemeral-storage: 915128Mi
hugepages-1Gi: 0
hugepages-2Mi: 0
memory: 131395264Ki
nvidia.com/GV100GL_Tesla_V100 1
nvidia.com/TU104GL_Tesla_T4 1
intel.com/qat: 1
pods: 250
Allocatable:
cpu: 63500m
devices.kubevirt.io/kvm: 110
devices.kubevirt.io/tun: 110
devices.kubevirt.io/vhost-net: 110
ephemeral-storage: 863623130526
hugepages-1Gi: 0
hugepages-2Mi: 0
memory: 130244288Ki
nvidia.com/GV100GL_Tesla_V100 1
nvidia.com/TU104GL_Tesla_T4 1
intel.com/qat: 1
pods: 250
To remove a PCI host device from the cluster, delete the information for that device from the HyperConverged
custom resource (CR).
Edit the HyperConverged
CR in your default editor by running the following command:
$ oc edit hyperconverged kubevirt-hyperconverged -n openshift-cnv
Remove the PCI device information from the spec.permittedHostDevices.pciHostDevices
array by deleting the pciDeviceSelector
, resourceName
and externalResourceProvider
(if applicable) fields for the appropriate device. In this example, the intel.com/qat
resource has been deleted.
apiVersion: hco.kubevirt.io/v1
kind: HyperConverged
metadata:
name: kubevirt-hyperconverged
namespace: openshift-cnv
spec:
permittedHostDevices:
pciHostDevices:
- pciDeviceSelector: "10DE:1DB6"
resourceName: "nvidia.com/GV100GL_Tesla_V100"
- pciDeviceSelector: "10DE:1EB8"
resourceName: "nvidia.com/TU104GL_Tesla_T4"
# ...
Save your changes and exit the editor.
Verify that the PCI host device was removed from the node by running the following command. The example output shows that there are zero devices associated with the intel.com/qat
resource name.
$ oc describe node <node_name>
Capacity:
cpu: 64
devices.kubevirt.io/kvm: 110
devices.kubevirt.io/tun: 110
devices.kubevirt.io/vhost-net: 110
ephemeral-storage: 915128Mi
hugepages-1Gi: 0
hugepages-2Mi: 0
memory: 131395264Ki
nvidia.com/GV100GL_Tesla_V100 1
nvidia.com/TU104GL_Tesla_T4 1
intel.com/qat: 0
pods: 250
Allocatable:
cpu: 63500m
devices.kubevirt.io/kvm: 110
devices.kubevirt.io/tun: 110
devices.kubevirt.io/vhost-net: 110
ephemeral-storage: 863623130526
hugepages-1Gi: 0
hugepages-2Mi: 0
memory: 130244288Ki
nvidia.com/GV100GL_Tesla_V100 1
nvidia.com/TU104GL_Tesla_T4 1
intel.com/qat: 0
pods: 250
After the PCI devices have been added to the cluster, you can assign them to virtual machines. The PCI devices are now available as if they are physically connected to the virtual machines.
When a PCI device is available in a cluster, you can assign it to a virtual machine and enable PCI passthrough.
Assign the PCI device to a virtual machine as a host device.
apiVersion: kubevirt.io/v1
kind: VirtualMachine
spec:
domain:
devices:
hostDevices:
- deviceName: nvidia.com/TU104GL_Tesla_T4 (1)
name: hostdevices1
1 | The name of the PCI device that is permitted on the cluster as a host device. The virtual machine can access this host device. |
Use the following command to verify that the host device is available from the virtual machine.
$ lspci -nnk | grep NVIDIA
$ 02:01.0 3D controller [0302]: NVIDIA Corporation GV100GL [Tesla V100 PCIe 32GB] [10de:1eb8] (rev a1)