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README.md

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# Openshift and Kubernetes operator
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The Operator installs and manages [OpenVINO model servers](https://github.com/openvinotoolkit/model_server) in an OpenShift cluster and upstream Kubernetes. It enables inference execution at scale and exposing AI models via gRPC and REST API interfaces.
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The Operator installs and manages [OpenVINO model servers](https://github.com/openvinotoolkit/model_server) in an OpenShift cluster and upstream Kubernetes. It enables inference execution at scale and exposes AI models via gRPC and REST API interfaces.
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The operator is using a [model server helm chart](helm-charts/ovms/) which can be also used directly.
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The Operator also integrates with the JupyterHub Spawner in Red Hat OpenShift Data Science and Open Data Hub. See detailed instructions below.
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[Notebook parameters](docs/notebook_params.md)
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[Helm chart](helm-charts/ovms/README.md)
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## Contact
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If you have a question, a feature request, or a bug report, feel free to submit a Github issue.

docs/operator_installation.md

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# Operator instalation
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*Note:* Operator, starting from version 1.0 includes non-compatible changes in the CRD records of `ModelServer` and `Notebook`.
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It is recommended to remove all those custom records before upgrading the operator from v0.2 to v1.0.
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It is recommended to remove all those custom records before upgrading the operator from v0.2 to v1.0.
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*Note:* Source code of the versions prior to 1.0.0 is stored in a [github repo](https://github.com/openvinotoolkit/model_server/tree/v2022.1/extras)
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## Openshift
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In the OpenShift [web console](https://docs.openshift.com/container-platform/4.10/web_console/web-console.html) navigate to OperatorHub menu. Search for "OpenVINO™ Toolkit Operator". Then, click the `Install` button.
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In the OpenShift [web console](https://docs.openshift.com/container-platform/4.10/web_console/web-console.html) navigate to the OperatorHub menu. Search for "OpenVINO™ Toolkit Operator". Then, click the `Install` button.
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![installation](install.png)
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***
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## Building and installation from sources
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## Building and installing from sources
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Check the [developer guide](developer_guide.md) if you would like to build the operator on your own.
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helm-charts/ovms/README.md

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deployment_parameters:
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resources:
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limits:
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gpu.intel.com/i915: 1
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xpu_device: gpu.intel.com/i915
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xpu_device_quantity: "1"
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```
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### Security Context
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OVMS, by default, starts with the security context of `ovms` account which has the pid 5000 and gid 5000. In some cases, it can prevent importing models

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