> For the complete documentation index, see [llms.txt](https://docs.cedana.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.cedana.ai/cedana-inference/deploying-with-dynamo.md).

# Deploying with Dynamo

#### Deploying Cedana + Dynamo

The good news is that Cedana just works with Dynamo! You can follow this guide on setting up Cedana on your Kubernetes cluster: [Installation](/cedana-kubernetes/installation.md), and follow this to setup Dynamo on your cluster: <https://docs.nvidia.com/dynamo/v1.0.1/kubernetes-deployment/deployment-guide>.

Dynamo requires another controller from the cedana side, so in your helm values.yml you'll need to add the following config:<br>

```
# Only enable on clusters that have NVIDIA Dynamo (DynamoGraphDeployment CRD) installed.
dynamo:
  enabled: true
  image:
    repository: cedana/cedana-dynamo-watcher
    tag: main
    digest: # ignores tag if set
    imagePullPolicy: IfNotPresent
  resources: {}
  tolerations:
    - key: "cedana.ai/not-ready"
      operator: "Exists"
      effect: "NoSchedule"
  affinity: {}
  nodeSelector: {}
metricsService:
  ports:
    - name: https
      port: 8443
      protocol: TCP
      targetPort: https
  type: ClusterIP

```

Once set up, you can manage your dynamo deployment via our UI:

<figure><img src="/files/x2rKisdliQGF8qb7wHJY" alt=""><figcaption></figcaption></figure>