Intel® Distribution of OpenVINO™ Model Server

Pull Command

docker pull openvino/model_server

Tags and Pull Commands for Other Versions

OS Target Version Size Updated Pull Command
Clear Linux x86_64 v2020.4 767.02 MB 8/2020 docker pull openvino/model_server:2020.4

Description

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™.


Documentation and Sources

Get Started
Docker Repo
Main GitHub
Readme
Release Notes
Get Started Guide

Code Sources
Sources
Support Forum


License Agreement

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 license agreements for additional details.

Components:

Related Containers and Solutions

OpenVINO™ Deep Learning Workbench

Product and Performance Information

1

Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

Notice revision #20110804