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Merge pull request #165 from vbedida79/patch-301123-1
e2e_inference: Intel GPU enabling workaround for openvino notebooks
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e2e/inference/README.md

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@@ -31,28 +31,6 @@ To enable the interactive mode, the OpenVINO notebook CR needs to be created and
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1. Click on the ```create Notebook``` option in this [link](https://github.com/red-hat-data-services/odh-deployer) from the web console and follow these [steps](https://github.com/openvinotoolkit/operator/blob/main/docs/notebook_in_rhods.md) to create the notebook CR.
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2. Enable Intel Data Center GPU
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**Note:** The Intel Data Center GPU option is not visible in the RHODS UI at this time of release. For more details, please refer to this [issue](https://github.com/opendatahub-io/odh-dashboard/issues/956). Until this issue is resolved, please follow the steps below to enable the Intel Data Center GPU.
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a. Search for the OpenVINO Notebook Server from web console ```Search -> Notebook -> Jupyter-nb-<ocp-user>``` in the namespace ```rhods-notebooks```.
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b. Navigate to notebook yaml and modify the yaml file according to the example shown below.
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```
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containers:
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name: jupyter-nb-<ocp-user-name>
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resources:
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limits:
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cpu: '14'
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gpu.intel.com/i915: '1'
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memory: 56Gi
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requests:
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cpu: '7'
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gpu.intel.com/i915: '1'
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memory: 56Gi
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```
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c. This operation respawns the notebook server to use the Intel Data Center GPU.
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3. Run sample Jupyter Notebooks.
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Follow the [link](https://github.com/openvinotoolkit/operator/blob/main/docs/notebook_in_rhods.md) to execute the sample Jupyter Notebook There are 60+ sample notebooks available with this notebook image. For the details on the notebooks with Intel Data Center GPU, please check this [link](https://github.com/openvinotoolkit/openvino_notebooks).
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## Work with deployment mode

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