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* Document the differences on OpenShift * Include useful setup scripts Signed-off-by: Vitaliy Emporopulo <[email protected]>
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# Running the NVIDIA DRA Driver on Red Hat OpenShift | ||
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This document explains the differences between deploying the NVIDIA DRA driver on OpenShift and upstream Kubernetes or its flavors. | ||
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## Prerequisites | ||
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Install OpenShift 4.16 or later. You can use the Assisted Installer to install on bare metal, or obtain an IPI installer binary (`openshift-install`) from the [OpenShift clients page](https://mirror.openshift.com/pub/openshift-v4/clients/ocp/) page. Refer to the [OpenShift documentation](https://docs.openshift.com/container-platform/4.16/installing/index.html) for different installation methods. | ||
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## Enabling DRA on OpenShift | ||
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Enable the `TechPreviewNoUpgrade` feature set as explained in [Enabling features using FeatureGates](https://docs.openshift.com/container-platform/4.16/nodes/clusters/nodes-cluster-enabling-features.html), either during the installation or post-install. The feature set includes the `DynamicResourceAllocation` feature gate. | ||
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Update the cluster scheduler to enable the DRA scheduling plugin: | ||
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```console | ||
$ oc patch --type merge -p '{"spec":{"profile": "HighNodeUtilization", "profileCustomizations": {"dynamicResourceAllocation": "Enabled"}}}' scheduler cluster | ||
``` | ||
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## NVIDIA GPU Drivers | ||
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The easiest way to install NVIDIA GPU drivers on OpenShift nodes is via the NVIDIA GPU Operator with the device plugin disabled. Follow the installation steps in [NVIDIA GPU Operator on Red Hat OpenShift Container Platform](https://docs.nvidia.com/datacenter/cloud-native/openshift/latest/index.html), and **_be careful to disable the device plugin so it does not conflict with the DRA plugin_**: | ||
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```yaml | ||
devicePlugin: | ||
enabled: false | ||
``` | ||
## NVIDIA Binaries on RHCOS | ||
The location of some NVIDIA binaries on an OpenShift node differs from the defaults. Make sure to pass the following values when installing the Helm chart: | ||
```yaml | ||
nvidiaDriverRoot: /run/nvidia/driver | ||
nvidiaCtkPath: /var/usrlocal/nvidia/toolkit/nvidia-ctk | ||
``` | ||
## OpenShift Security | ||
OpenShift generally requires more stringent security settings than Kubernetes. If you see a warning about security context constraints when deploying the DRA plugin, pass the following to the Helm chart, either via an in-line variable or a values file: | ||
```yaml | ||
kubeletPlugin: | ||
containers: | ||
plugin: | ||
securityContext: | ||
privileged: true | ||
seccompProfile: | ||
type: Unconfined | ||
``` | ||
If you see security context constraints errors/warnings when deploying a sample workload, make sure to update the workload's security settings according to the [OpenShift documentation](https://docs.openshift.com/container-platform/4.16/operators/operator_sdk/osdk-complying-with-psa.html). Usually applying the following `securityContext` definition at a pod or container level works for non-privileged workloads. | ||
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```yaml | ||
securityContext: | ||
runAsNonRoot: true | ||
seccompProfile: | ||
type: RuntimeDefault | ||
allowPrivilegeEscalation: false | ||
capabilities: | ||
drop: | ||
- ALL | ||
``` | ||
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## Using Multi-Instance GPU (MIG) | ||
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Workloads that use the Multi-instance GPU (MIG) feature require MIG to be enabled on the worker nodes with [MIG-supported GPUs](https://docs.nvidia.com/datacenter/tesla/mig-user-guide/index.html#supported-gpus), e.g. A100. | ||
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First, make sure to stop any custom pods that might be using the GPU to avoid disruption when the new MIG configuration is applied. | ||
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Enable MIG via the MIG manager of the NVIDIA GPU Operator. **Do not configure MIG devices as the DRA driver will do it automatically on the fly**: | ||
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```console | ||
$ oc label node <node> nvidia.com/mig.config=all-enabled --overwrite | ||
``` | ||
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MIG will be automatically enabled on the labeled nodes. For additional information, see [MIG Support in OpenShift Container Platform](https://docs.nvidia.com/datacenter/cloud-native/openshift/latest/mig-ocp.html). | ||
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**Note:** The `all-enabled` MIG configuration profile is available out of the box in the NVIDIA GPU Operator starting v24.3. With an earlier version, you may need to [create a custom profile](https://docs.nvidia.com/datacenter/cloud-native/openshift/latest/mig-ocp.html#creating-and-applying-a-custom-mig-configuration). | ||
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You can verify the MIG status using the `nvidia-smi` command from a GPU driver pod: | ||
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```console | ||
$ oc exec -ti nvidia-driver-daemonset-<suffix> -n nvidia-gpu-operator -- nvidia-smi | ||
+-----------------------------------------------------------------------------------------+ | ||
| NVIDIA-SMI 550.54.14 Driver Version: 550.54.14 CUDA Version: N/A | | ||
|-----------------------------------------+------------------------+----------------------+ | ||
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | ||
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | ||
| | | MIG M. | | ||
|=========================================+========================+======================| | ||
| 0 NVIDIA A100 80GB PCIe On | 00000000:17:00.0 Off | On | | ||
| N/A 35C P0 45W / 300W | 0MiB / 81920MiB | N/A Default | | ||
| | | Enabled | | ||
+-----------------------------------------+------------------------+----------------------+ | ||
``` | ||
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If the MIG status is marked with an asterisk (i.e. `Enabled*`), it means that the setting could not be fully applied and you may need to reboot the node. | ||
This can happen on some cloud service providers (CSP) where the CSP blocks GPU reset for the GPUs passed into a VM. | ||
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See the [NVIDIA Multi-Instance GPU User Guide](https://docs.nvidia.com/datacenter/tesla/mig-user-guide/index.html) for more information about MIG. |
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apiVersion: config.openshift.io/v1 | ||
kind: FeatureGate | ||
metadata: | ||
name: cluster | ||
spec: | ||
featureSet: TechPreviewNoUpgrade |
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#!/usr/bin/env bash | ||
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set -ex | ||
set -o pipefail | ||
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oc patch --type merge -p '{"spec":{"profile": "HighNodeUtilization", "profileCustomizations": {"dynamicResourceAllocation": "Enabled"}}}' scheduler cluster |