Maciej Smyk
e6f09ac197
* docker-update * id fix * Update installing-openvino-docker-linux.md * Update installing-openvino-docker-linux.md * Update installing-openvino-docker-linux.md
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Install Intel® Distribution of OpenVINO™ toolkit from a Docker Image
@sphinxdirective
.. meta:: :description: Learn how to use a prebuilt Docker image or create an image manually to install OpenVINO™ Runtime on Linux and Windows operating systems.
This guide presents infromation on how to use a pre-built Docker image/create an image manually to install OpenVINO™ Runtime.
Supported host operating systems for the Docker Base image:
- Linux
- Windows (WSL2)
- macOS (CPU exectuion only)
You can get started easily with pre-built and published docker images, which are available at:
Docker Hub <https://hub.docker.com/u/openvino>__Red Hat Quay.io <https://quay.io/organization/openvino>__Red Hat Ecosystem Catalog (runtime image) <https://catalog.redhat.com/software/containers/intel/openvino-runtime/606ff4d7ecb5241699188fb3>__Red Hat Ecosystem Catalog (development image) <https://catalog.redhat.com/software/containers/intel/openvino-dev/613a450dc9bc35f21dc4a1f7>__Azure Marketplace <https://azuremarketplace.microsoft.com/en-us/marketplace/apps/intel_corporation.openvino>__
.. note::
OpenVINO development environment in a docker container is also available in notebook repository <https://github.com/openvinotoolkit/openvino_notebooks>__ . It can be deployed in OpenShift RedHat OpenData Science (RHODS) <https://github.com/openvinotoolkit/operator/blob/main/docs/notebook_in_rhods.md>__
You can use the available Dockerfiles on GitHub <https://github.com/openvinotoolkit/docker_ci/tree/master/dockerfiles>__ or generate a Dockerfile with your settings via DockerHub CI framework <https://github.com/openvinotoolkit/docker_ci/>__ , which can generate a Dockerfile, build, test, and deploy an image using the Intel® Distribution of OpenVINO™ toolkit. You can reuse available Dockerfiles, add your layer and customize the OpenVINO™ image to your needs. Docker CI repository includes guides on how to how to get started with docker images <https://github.com/openvinotoolkit/docker_ci/blob/master/get-started.md>__ and how to use OpenVINO™ Toolkit containers with GPU accelerators. <https://github.com/openvinotoolkit/docker_ci/blob/master/docs/accelerators.md>__
To start using Dockerfiles the following conditions must be met:
- Linux OS or Windows (under :ref:
Windows Subsystem for Linux (WSL2) <wsl-install>) - Installed docker engine or compatible container engine
- Permissions to run containers (sudo or docker group membership)
.. note::
OpenVINO's Docker <https://docs.docker.com/>__ and Bare Metal <https://docs.openvino.ai/2023.0/ovms_docs_deploying_server.html#doxid-ovms-docs-deploying-server>__ distributions are identical, so the documentation applies to both.
.. note::
The OpenVINO development environment in a docker container is also available in the notebook repository <https://github.com/openvinotoolkit/openvino_notebooks>__ . It can be implemented in OpenShift RedHat OpenData Science (RHODS) <https://github.com/openvinotoolkit/operator/blob/main/docs/notebook_in_rhods.md>__.
More information about Docker CI for Intel® Distribution of OpenVINO™ toolset can be found here <https://github.com/openvinotoolkit/docker_ci/blob/master/README.md>__
Docker CI framework for Intel® Distribution of OpenVINO™ toolkit <https://github.com/openvinotoolkit/docker_ci/blob/master/README.md>__Get Started with DockerHub CI for Intel® Distribution of OpenVINO™ toolkit <https://github.com/openvinotoolkit/docker_ci/blob/master/get-started.md>__Using OpenVINO™ Toolkit containers with GPU accelerators <https://github.com/openvinotoolkit/docker_ci/blob/master/docs/accelerators.md>__Dockerfiles with Intel® Distribution of OpenVINO™ toolkit <https://github.com/openvinotoolkit/docker_ci/blob/master/dockerfiles/README.md>__
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