Add deprecation notices about GAS

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Ukri Niemimuukko 2025-01-23 20:21:36 +02:00
parent fd107cc8b4
commit 1c40eaaa83
2 changed files with 4 additions and 4 deletions

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@ -56,7 +56,7 @@ For workloads on different KMDs, see [KMD and UMD](#kmd-and-umd).
| Flag | Argument | Default | Meaning |
|:---- |:-------- |:------- |:------- |
| -enable-monitoring | - | disabled | Enable '*_monitoring' resource that provides access to all Intel GPU devices on the node, [see use](./monitoring.md) |
| -resource-manager | - | disabled | Enable fractional resource management, [see use](./fractional.md) |
| -resource-manager | - | disabled | Deprecated. Enable fractional resource management, [see use](./fractional.md) |
| -health-management | - | disabled | Enable health management by requesting data from oneAPI/Level-Zero interface. Requires [GPU Level-Zero](../gpu_levelzero/) sidecar. See [health management](#health-management) |
| -wsl | - | disabled | Adapt plugin to run in the WSL environment. Requires [GPU Level-Zero](../gpu_levelzero/) sidecar. |
| -shared-dev-num | int | 1 | Number of containers that can share the same GPU device |
@ -122,7 +122,7 @@ $ kubectl apply -k 'https://github.com/intel/intel-device-plugins-for-kubernetes
GPU plugin can be installed with the Intel Device Plugin Operator. It allows configuring GPU plugin's parameters without kustomizing the deployment files. The general installation is described in the [install documentation](../operator/README.md#installation). For configuring the GPU Custom Resource (CR), see the [configuration options](#modes-and-configuration-options) and [operation modes](#operation-modes-for-different-workload-types).
### Install alongside with GPU Aware Scheduling
### Install alongside with GPU Aware Scheduling (deprecated)
GPU plugin can be installed alongside with GPU Aware Scheduling (GAS). It allows scheduling Pods which e.g. request only partial use of a GPU. The installation is described in [fractional resources](./fractional.md) page.

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@ -1,6 +1,6 @@
# GPU plugin with GPU Aware Scheduling
# GPU plugin with GPU Aware Scheduling (deprecated)
This is an experimental feature.
This is a deprecated feature. It is recommended to instead use the newer [DRA resource driver](https://github.com/intel/intel-resource-drivers-for-kubernetes) to achieve fractional GPU resource allocating.
Installing the GPU plugin with [GPU Aware Scheduling](https://github.com/intel/platform-aware-scheduling/tree/master/gpu-aware-scheduling) (GAS) enables containers to request partial (fractional) GPU resources. For example, a Pod's container can request GPU's millicores or memory and use only a fraction of the GPU. The remaining resources could be leveraged by another container.