---
title: Charmhub | Deploy Mlmd using Charmhub - The Open Operator Collection
description: Deploy the latest version of Mlmd as a Kubernetes Operator on any cloud.
  Record and retrieve metadata associated with ML workflows
url: https://charmhub.io/mlmd
---

# Mlmd

[Kubeflow Charmers](https://charmhub.io/publisher/ckfbot "View all packages from Kubeflow Charmers")

* [Kubeflow Charmers](https://charmhub.io/publisher/ckfbot "View all packages from Kubeflow Charmers")
* [Ai Ml](https://charmhub.io/?filter=ai-ml)
* [Big Data](https://charmhub.io/?filter=big-data)

Platform:

ckf-1.10/stable 441

```
juju deploy mlmd --channel ckf-1.10/stable
```

[Learn to deploy on juju >](https://juju.is/docs/juju/manage-applications)

Share your thoughts on this charm with the community on discourse.

[Join the discussion](https://discourse.charmhub.io/)

---

[Add docs to a charm](https://juju.is/docs/sdk/add-docs-to-your-charmhub-page)

#### Record and retrieve metadata associated with ML workflows

The ML Metadata operator provides means to store runtime information of a pipeline run in a
Metadata store. This information includes status of a task, availability of artifacts, custom properties, etc.
More info in https://github.com/google/ml-metadata/blob/master/g3doc/get\_started.md