NEW RELEASE

MLRun 1.7 is here! Unlock the power of enhanced LLM monitoring, flexible Docker image deployment, and more.

Does MLRun orchestrate on a Kubernetes operator or use a classic Helm chart?

MLRun is made up of multiple services: a UI, orchestration, security, RBAC, SSO, and more. These services are provided through multiple types of components, with operators being one of them. MLRun uses operators when launching services like a Spark job or a real-time serving function. These operators take the requests and turn them into live services.MLRun supports eight different operators: Nuclio for real-time, operators for multi-stage graphs, an operator for online multi-state graphical serving, a Spark operator, a Dask operator, and more. These operators are pluggable, which provides flexibility for adding more in the future. Operators are deployed as Helm charts, but can also support cloud formation.

Need help?

Contact our team of experts or ask a question in the community.

Have a question?

Submit your questions on machine learning and data science to get answers from out team of data scientists, ML engineers and IT leaders.