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gpu docs update and xpum-sidecar deployment version bump #1533

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merged 2 commits into from
Sep 14, 2023
Merged

gpu docs update and xpum-sidecar deployment version bump #1533

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031ee64
gpu/doc: Add Max Series support and a note about SR-IOV
tkatila Sep 13, 2023
5ca3df6
xpum-sidecar: update deployment yaml to a newer one
tkatila Sep 13, 2023
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9 changes: 8 additions & 1 deletion cmd/gpu_plugin/README.md
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Expand Up @@ -24,14 +24,15 @@ Table of Contents
* [Verify Plugin Registration](#verify-plugin-registration)
* [Testing and Demos](#testing-and-demos)
* [Labels created by GPU plugin](#labels-created-by-gpu-plugin)
* [SR-IOV use with the plugin](#sr-iov-use-with-the-plugin)
* [Issues with media workloads on multi-GPU setups](#issues-with-media-workloads-on-multi-gpu-setups)
* [Workaround for QSV and VA-API](#workaround-for-qsv-and-va-api)


## Introduction

Intel GPU plugin facilitates Kubernetes workload offloading by providing access to
discrete (including Intel® Data Center GPU Flex Series) and integrated Intel GPU devices
discrete (including Intel® Data Center GPU Flex & Max Series) and integrated Intel GPU devices
supported by the host kernel.

Use cases include, but are not limited to:
Expand Down Expand Up @@ -344,6 +345,12 @@ The GPU plugin functionality can be verified by deploying an [OpenCL image](../.

If installed with NFD and started with resource-management, plugin will export a set of labels for the node. For detailed info, see [labeling documentation](./labels.md).

## SR-IOV use with the plugin

GPU plugin does __not__ setup SR-IOV. It has to be configured by the cluster admin.

GPU plugin does however support provisioning Virtual Functions (VFs) to containers for a SR-IOV enabled GPU. When the plugin detects a GPU with SR-IOV VFs configured, it will only provision the VFs and leaves the PF device on the host.

## Issues with media workloads on multi-GPU setups

OneVPL media API, 3D and compute APIs provide device discovery
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3 changes: 1 addition & 2 deletions deployments/xpumanager_sidecar/kustomization.yaml
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@@ -1,6 +1,5 @@
# XeLink topology information is only available from >= 1.x.y release
resources:
- https://raw.githubusercontent.com/intel/xpumanager/v1.2.0_golden/deployment/kubernetes/daemonset-intel-xpum.yaml
- https://raw.githubusercontent.com/intel/xpumanager/V1.2.18/deployment/kubernetes/daemonset-intel-xpum.yaml
namespace: monitoring
apiVersion: kustomize.config.k8s.io/v1beta1
kind: Kustomization
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