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openvino/model_server

By openvino

Updated about 14 hours ago

Intel® Distribution of OpenVINO™ Model Server Docker images.

Image
19

500K+

openvino/model_server repository overview

Capabilities in the recent tags

TagSupported devicesBase OSComment
weeklyCPU,iGPU,dGPU,NPUubuntu24.04development version from main branch
latestCPUubuntu24.04latest release
latest-gpuCPU,iGPU,dGPU,NPUubuntu24.04latest release with GPU support
latest-pyCPU,iGPU,dGPU,NPUubuntu24.04with GPU support and extra python packages including optimum-cli and transformers
2026.1-gpuCPU,iGPU,dGPU,NPUubuntu24.04
2026.1CPUubuntu24.04
2026.1-pyCPU,iGPU,dGPU,NPUubuntu24.04
2026.0-gpuCPU,iGPU,dGPU,NPUubuntu24.04
2026.0CPUubuntu24.04
2026.0-pyCPU,iGPU,dGPU,NPUubuntu24.04
2025.4.1-gpuCPU,iGPU,dGPU,NPUubuntu24.04
2025.4.1CPUubuntu24.04
2025.4-gpuCPU,iGPU,dGPU,NPUubuntu24.04
2025.4CPUubuntu24.04
2025.3-gpuCPU,iGPU,dGPU,NPUubuntu24.04
2025.3CPUubuntu24.04

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, REST API or C API -- making it easy to deploy new algorithms and AI experiments.

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.

To run the image, use the following command:

docker run -it --rm openvino/model_server:latest --help

Start the Docker container with the OpenVINO™ model server and enable just a single model, you do not need any extra configuration file, so this process can be completed with just one command like below:

docker run --rm -d  -v /models/:/opt/ml:ro -p 9001:9001 -p 8001:8001 openvino/model_server:latest --model_path /opt/ml/model1 --model_name my_model --port 9001 --rest_port 8001

Check the Quickstart Guide with classic model and Quickstart Guide with LLM model

This container image is intended for demo purposes only and not intended for production use. To receive expanded security maintenance from Canonical on the Ubuntu base layer, you may follow the how-to guide to enable Ubuntu Pro in a Dockerfile which will require the image to be rebuilt.

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:


More Containers for running HPC, AI, ML and etc. workloads can be found at the Intel® oneContainer Portal.

Tag summary

Content type

Image

Digest

sha256:70596d34f

Size

216.4 MB

Last updated

15 days ago

docker pull openvino/model_server