intel/model-registry
58
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.
Refer to documentation for further information.
Refer to documentation for further information.
1.0.1
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docker pull intel/model-registry