Overview

OpenVINO™ toolkit images include a complete environment with OpenVINO Runtime and OpenVINO Development Tools.

Images are built using Dockerfiles from the open-source [docker_ci](https://github.com/openvinotoolkit/docker_ci) repo.

Distributions:

runtime: OpenVINO C++ and Python runtimes, CPU and GPU plugins
dev: OpenVINO C++ and Python runtimes, CPU and GPU plugins, samples and Python-based developer tools: Benchmark App, Model Optimizer, Post-training Optimization Tool, Accuracy Checker, Open Model Zoo Tools (downloader, converter)

If you wish to create a model serving deployment, please see [OpenVINO™ Operator](https://catalog.redhat.com/software/operators/detail/60649a56209af65d24b7ca9e)

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Deployment options

Resources

OpenVINO documentation OpenVINO toolkit documentation
Docker_ci Dockerfiles framework documentation
Tutorials Tutorials for Intel® Distribution of OpenVINO™ toolkit Docker images

Certifications

Learn about Red Hat Certification and Partner Validation

Red Hat certified products are tested to meet Red Hat’s criteria and supported as defined in the Red Hat Collaborative Support Process.

Partner validated products are tested by Red Hat Partners and supported as defined in the Red Hat Third Party Component Policy.

Certification standards

Runs on OpenShift
Fully containerized
Continuous vulnerability scans
Collaborative support
Meets best practicesThe certified software follows Red Hat’s best practices for deployment on Red Hat OpenShift clusters.

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FAQs

How are these containers different from OpenVINO Operator?

These containers just provide standalone environment with OpenVINO Runtime (both C++ and Python) and OpenVINO Development Tools. If you wish to integrate Jupyter notebooks with Red Hat OpenShift Data Science or manage OpenVINO model serving deployments, please use the OpenVINO Operator. If you are doing standalone development without needing to serve a model or integrate with OpenShift Data Science, you should use these containers. For example, to develop a standalone C++ application that integrates OpenVINO Runtime, use the runtime image.

Is the `dev` container different from just running `pip install openvino-dev`

The `dev` container includes everything that is provided in openvino-dev on PyPI in addition to OpenVINO C++ runtime. If you are developing a C++ application on RHEL, we recommend using this image. You may also build OpenVINO from source code or download OpenVINO binary archives for Red Hat.

Certifications

Learn about Red Hat Certification and Partner Validation

Certification standards

Runs on OpenShift
Fully containerized
Continuous vulnerability scans
Collaborative support
Meets best practicesThe certified software follows Red Hat’s best practices for deployment on Red Hat OpenShift clusters.

Quick start and configuration

Getting started

OpenVINO™ Containers Certified

Next steps

Get started with OpenShift

Certifications

Certified components

Quick start and configuration

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OpenVINO™ Containers Certified

Next steps

Get started with OpenShift

Certifications

Certified components

Quick start and configuration

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