# Examples of using Dynamo Platform ## Serving examples locally Follow individual examples to serve models locally. ## Deploying Examples to Kubernetes First you need to install the Dynamo Cloud Platform. Dynamo Cloud acts as an orchestration layer between the end user and Kubernetes, handling the complexity of deploying your graphs for you. Before you can deploy your graphs, you need to deploy the Dynamo Runtime and Dynamo Cloud images. This is a one-time action, only necessary the first time you deploy a DynamoGraph. ### Instructions for Dynamo User If you are a **👤 Dynamo User** first follow the [Quickstart Guide](../guides/dynamo_deploy/quickstart.md) first. ### Instructions for Dynamo Contributor If you are a **🧑‍💻 Dynamo Contributor** first follow the instructions in [deploy/cloud/helm/README.md](../../deploy/cloud/helm/README.md) to create your Dynamo Cloud deployment. Make sure your dynamo cloud the `deploy.sh --crds --interactive` script finished successfully. You would have to rebuild the dynamo platform images as the code evolves. For more details please look at the [Cloud Guide](../guides/dynamo_deploy/dynamo_cloud.md) Export the [Dynamo Base Image](../get_started.md#building-the-dynamo-base-image) you want to use (or built during the prerequisites step) as the `DYNAMO_IMAGE` environment variable. ```bash export DYNAMO_IMAGE=/: ``` ### Post Install Instructions ```bash # Set your dynamo root directory cd export PROJECT_ROOT=$(pwd) export NAMESPACE= # the namespace you used to deploy Dynamo cloud to. ``` Pick your deployment destination. If local ```bash export DYNAMO_CLOUD=http://localhost:8080 ``` If kubernetes ```bash export DYNAMO_CLOUD=https://dynamo-cloud.nvidia.com ``` Deploying examples consists of the simple `kubectl apply -f` command.