OpenVINO™ Model Server
Description
Intel® Distribution of OpenVINO™ Model Server Docker image
OpenVINO™ Model Server is a scalable, high-performance solution for serving machine learning models optimized for Intel® architectures. The server provides an inference service via gRPC endpoint or REST API -- making it easy to deploy new algorithms and AI experiments using the same architecture as TensorFlow Serving for any models trained in a framework that is supported by OpenVINO.
The Intel® Distribution of OpenVINO™ toolkit quickly deploys applications and solutions that emulate human vision. Based on Convolutional Neural Networks (CNN), the toolkit extends computer vision (CV) workloads across Intel® hardware, maximizing performance.
- Web-site: https://software.intel.com/en-us/openvino-toolkit
- Release Notes: https://software.intel.com/en-us/articles/OpenVINO-RelNotes
- Documentation: https://docs.openvinotoolkit.org/
- Support forum: https://software.intel.com/en-us/forums/intel-distribution-of-openvino-toolkit
Licenses
LEGAL NOTICE: By accessing, downloading or using this software and any required dependent software (the “Software Package”), you agree to the terms and conditions of the software license agreements for the Software Package, which may also include notices, disclaimers, or license terms for third party software included with the Software Package. Please refer to the “third-party-programs.txt” or other similarly-named text file for additional details.
By downloading and using this container and the included software, you agree to the terms and conditions of the software license agreements located here.
As for any pre-built image usage, it is the image user's responsibility to ensure that any use of this image complies with any relevant licenses and potential fees for all software contained within. We will have no indemnity or warranty coverage from suppliers.
Components:
- UBI image: https://www.redhat.com/licenses/EULA_Red_Hat_Universal_Base_Image_English_20190422.pdf
- Intel® Distribution of OpenVINO™ toolkit: https://software.intel.com/en-us/license/eula-for-intel-software-development-products
Products using this container
OpenVINO™ Operator
An Operator for OpenVINO™ that simplifies managing optimized deep learning inference at scale in OpenShift
OpenVINO™ Model Server
OpenVINO™ Model Server is a scalable, high-performance solution for serving machine learning models optimized for Intel® architectures.
General information
The following information was extracted from the containerfile and other sources.
| Summary | OpenVINO(TM) Model Server |
| Description | The Universal Base Image Minimal is a stripped down image that uses microdnf as a package manager. This base image is freely redistributable, but Red Hat only supports Red Hat technologies through subscriptions for Red Hat products. This image is maintained by Red Hat and updated regularly. |
| Provider | INTEL CORP |
| Maintainer | dariusz.trawinski@intel.com |
Technical information
The following information was extracted from the containerfile and other sources.
| Repository name | OVMS |
| Image version | 2025.3.0 |
| Architecture | amd64 |
Use the following instructions to get images from a Red Hat container registry using registry service account tokens. You will need to create a registry service account to use prior to completing any of the following tasks.
Using OpenShift secrets
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Then, use the following from the command line or from the OpenShift Dashboard GUI interface.
Using podman login
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Using docker login
Use the following command(s) from a system with docker service installed and running
Use the following instructions to get images from a Red Hat container registry using your Red Hat login.
Using OpenShift
For best practices, it is recommended to use registry tokens when pulling content for OpenShift deployments.
Using podman login
Use the following command(s) from a system with podman installed
Using docker login
Use the following command(s) from a system with docker service installed and running
