intel/model-registry repository overview

⁠Model Registry

The Model Registry microservice provides a centralized repository that facilitates the management of AI models. It plays a crucial role in the machine learning life cycle, providing a storage environment for models and their metadata. It stores each model's details, such as its version, precision, target device, score and more. This allows for easy tracking of each model over time and ensures that each model is always readily available for deployment.

Since the registry is a centralized repository, it can be accessed by different applications, services, or developers enabling them to store, and retrieve models. The model registry is an essential tool for developers deploying machine learning models, as it streamlines model management, fosters collaboration, and ultimately, aids in improving model deployments.

⁠Deploy the Docker* image with Docker* Compose.

Refer to documentation⁠ for further information.

⁠Deploy using Helm Charts

Refer to documentation⁠ for further information.

⁠Supported version

1.0.3

⁠License Agreement

Copyright (C) 2025 Intel Corporation.

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0⁠

⁠Legal Information

Intel, the Intel logo, and Xeon are trademarks of Intel Corporation in the U.S. and/or other countries.

*Other names and brands may be claimed as the property of others.