---
title: "Serve Models from MLFlow as Microservice"
canonical: "https://onesaitplatform.refined.site/space/DOCT/3564765242/Serve%20Models%20from%20MLFlow%20as%20Microservice"
format: markdown
---
In the new platform version, it will be possible to deploy models based on the models manager in a centralized way, so that any model uploaded to the models manager will be deployable directly and automated on the platform as a container/pod in the target caas, as well as providing it with platform security directly.

Use will be made of the platform microservices deployment module: 

![image](media://b4b457c7-0a27-4826-b1be-e489d5c374e6)

An existing experiment can be selected from the Models Manager, and once the experiment is selected, we will choose a run to deploy.

Along with the models manager's own capabilities to generate containers from a runid of an experiment, we can choose a run to deploy. [https://onesaitplatform.atlassian.net/wiki/spaces/DOCT/pages/2169241640](https://onesaitplatform.atlassian.net/wiki/spaces/DOCT/pages/2169241640)