How to delete a Managed Service for MLflow cluster

Delete a cluster when you no longer need it to stop incurring compute charges. When you delete a cluster, all data stored in it is permanently deleted. The Object Storage bucket used for artifacts is not deleted automatically. You are still charged for the bucket until you delete it.

Prerequisites

Make sure you are in a group that has the admin role within your tenant or project; for example, the default admins group. You can check this in the Administration → IAM section of the web console.

Make sure that you, or the service account that you use on your behalf, is in a group that has the admin role within your tenant; for example, the default admins group. You can check this in the Administration → IAM section of the web console.

How to delete a cluster

In the sidebar, go to MLflow.
Open the page of the cluster you want to delete.
On the Settings tab, click Delete cluster.
In the window that opens, confirm the deletion.

Get the ID of the cluster you want to delete:

nebius msp mlflow v1alpha1 cluster list

Delete the cluster:

nebius msp mlflow v1alpha1 cluster delete <cluster_ID>

Remove the corresponding nebius_msp_mlflow_v1alpha1_cluster resource from the configuration file.
Check that the configuration is correct:
terraform validate
Apply the changes:
terraform apply

Get the ID of the cluster you want to delete:

listService := sdk.Services().MSP().MLFlow().
    V1Alpha1().Cluster()
clusters, err := listService.List(
    ctx,
    &mlflow.ListClustersRequest{
        ParentId: "<project_ID>",
    },
)
if err != nil {
    return fmt.Errorf("list clusters: %w", err)
}
fmt.Println(clusters)

In ParentId, specify the project ID.

Delete the cluster:

deleteService := sdk.Services().MSP().MLFlow().
    V1Alpha1().Cluster()
deleteOperation, err := deleteService.Delete(
    ctx,
    &mlflow.DeleteClusterRequest{Id: "<cluster_ID>"},
)
if err != nil {
    return fmt.Errorf("delete cluster: %w", err)
}
_, err = deleteOperation.Wait(ctx)
if err != nil {
    return fmt.Errorf("wait for cluster deletion: %w", err)
}

In Id, specify the cluster ID. The code waits until the deletion operation completes.

Get the ID of the cluster you want to delete:

list_service = mlflow.ClusterServiceClient(sdk)
clusters = await list_service.list(
    mlflow.ListClustersRequest(parent_id="<project_ID>"),
)
print(clusters)

In parent_id, specify the project ID.

Delete the cluster:

delete_service = mlflow.ClusterServiceClient(sdk)
delete_operation = await delete_service.delete(
    mlflow.DeleteClusterRequest(id="<cluster_ID>"),
)
await delete_operation.wait()

In id, specify the cluster ID. The code waits until the deletion operation completes.

Get the ID of the cluster you want to delete:

const listService = new mlflow.ClusterService(sdk);
const clusters = await listService.list(
  mlflow.ListClustersRequest.create({
    parentId: "<project_ID>",
  }),
).result;
console.log(clusters);

In parentId, specify the project ID.

Delete the cluster:

const deleteService = new mlflow.ClusterService(sdk);
const deleteOperation = await deleteService.delete(
  mlflow.DeleteClusterRequest.create({ id: "<cluster_ID>" }),
).result;
await deleteOperation.wait();

In id, specify the cluster ID. The code waits until the deletion operation completes.

AI services in Nebius AI Cloud

Serverless AI

Managed Service for MLflow

Applications in Nebius AI Cloud

Tutorials

Third-party integrations

How to delete a Managed Service for MLflow cluster

Prerequisites

How to delete a cluster

​Prerequisites

​How to delete a cluster

Prerequisites

How to delete a cluster