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examples/deployments/AKS-deployment.md

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# Dynamo on AKS
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This document covers the process of deploying Dynamo Cloud and running inference in a vLLM distributed runtime within a Azure Kubernetes environment. The Dynamo Cloud Platform provides a managed deployment experience:
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- Contains the infrastructure components required for the Dynamo cloud platform
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- Used when deploying with the `dynamo deploy` CLI commands
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- Provides a managed deployment experience
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This overview covers the setup process on a Azure Kubernetes Cluster, all the way from setup to testing inference.
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This document covers the process of deploying Dynamo Cloud and running inference in a vLLM distributed runtime within a Azure Kubernetes environment, covering the setup process on a Azure Kubernetes Cluster, all the way from setup to testing inference.
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### Task 1. Infrastructure Deployment
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dynamo-platform-nats-box-5dbf45c748-kln82 1/1 Running 0 2m51s
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```
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There are other ways to install Dynamo, you can find them [here] (https://github.com/ai-dynamo/dynamo/blob/main/docs/guides/dynamo_deploy/quickstart.md)
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There are other ways to install Dynamo, you can find them [here](https://github.com/ai-dynamo/dynamo/blob/main/docs/guides/dynamo_deploy/quickstart.md)
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### Task 4. Deploy a model
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kubectl logs <pod-name> -n ${NAMESPACE}
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kubectl exec -it <pod-name> -n ${NAMESPACE} -- nvidia-smi
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# Enable Port forwarding
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# Enable Port forwarding to be able to hit a curl request
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kubectl get svc -n ${NAMESPACE}
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#Look for one that ends in -frontend and use it for port forward.

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