# Clean up

Tear down everything you created during the tour.

Source: /getting-started/clean-up/

Delete the model resources, the gateway, the clusters, and finally the control
plane.

## Delete model resources

Delete model resources before clusters. A cluster refuses deletion while
anything still runs on it. Foreground cascading deletion removes a resource
only after what it composed on the clusters is gone. That stops a cluster being
released while its workloads are still being torn down:

```bash
kubectl delete md --all -n ml-team --cascade=foreground
kubectl delete ms --all -n ml-team --cascade=foreground
```

## Delete the gateway

Delete the gateway before its cluster. The `InferenceGateway` runs a load balancer
on the cluster it names. If that cluster is deleted first, the load balancer is
orphaned. Foreground deletion removes the gateway only after its objects on the
cluster are deleted:

```bash
kubectl delete ig --all --cascade=foreground
```

## Delete the clusters

Delete all clusters with foreground cascading deletion. The serving stack on each
workload cluster must uninstall while that cluster's API server is still
reachable. Foreground deletion removes each cluster object only after its stack
finishes uninstalling. Background deletion can orphan cloud resources.

```bash
kubectl delete ic --all --cascade=foreground
```

Wait until all clusters are deleted:

```bash
kubectl get ic --watch
```

## Delete the control plane

Delete the kind cluster:

```bash
kind delete cluster --name modelplane
```