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9.18.8. Configuring PCI passthrough

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).

중요

For vfio-pci to allocate a PCI device, no other kernel driver can manage that device. If a driver already manages the device, you must add the specific kernel module to a blocklist.

Adding a kernel module to a blocklist makes all devices handled by that module unavailable to the host.

The following example shows a MachineConfig CR that adds the enic network driver to a blocklist by creating a configuration file in /etc/modprobe.d/ and adding kernel arguments: 

apiVersion: machineconfiguration.openshift.io/v1
kind: MachineConfig
metadata:
  labels:
    machineconfiguration.openshift.io/role: worker
  name: 100-blacklist-enic
spec:
  config:
    ignition:
      version: 3.4.0
    storage:
      files:
      - contents:
          source: data:,blacklist%20enic%0A
        mode: 420
        overwrite: true
        path: /etc/modprobe.d/blacklist-enic.conf
  kernelArguments:
    - enic.blacklist=1
    - rd.driver.blacklist=enic

9.18.8.1. Preparing nodes for GPU passthrough
링크 복사

You can prevent GPU operands from deploying on worker nodes that you designated for GPU passthrough.

9.18.8.1.1. Preventing NVIDIA GPU operands from deploying on nodes
링크 복사

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 prevents the creation of the pods that configure GPU or vGPU operands and terminates existing pods.

Prerequisites

  • The OpenShift CLI (oc) is installed.

Procedure

  • Label the node by running the following command: 

    $ oc label node <node_name> nvidia.com/gpu.deploy.operands=false

    where:

    <node_name>
    Specifies the name of a node where you do not want to install the NVIDIA GPU operands.

Verification

  1. Verify that the label was added to the node by running the following command: 

    $ oc describe node <node_name>

  2. Optional: If GPU operands were previously deployed on the node, verify their removal.

    1. Check the status of the pods in the nvidia-gpu-operator namespace by running the following command: 

      $ oc get pods -n nvidia-gpu-operator

      Example output: 

      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

    2. Monitor the pod status until the pods with Terminating status are removed: 

      $ oc get pods -n nvidia-gpu-operator

      Example output: 

      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
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