> For clean Markdown content of this page, append .md to this URL. For the complete documentation index, see https://docs.nvidia.com/dynamo/llms.txt. For full content including API reference and SDK examples, see https://docs.nvidia.com/dynamo/llms-full.txt.

# Auto Deployment

## Docs

- [Auto Deployment](https://docs.nvidia.com/dynamo/v1.4.1/kubernetes/auto-deployment/overview.md): Generate a DynamoGraphDeployment from model, hardware, workload, and latency requirements.
- [Auto Deploy with DGDR](https://docs.nvidia.com/dynamo/v1.4.1/kubernetes/auto-deployment/dgdr-walkthrough.md): Deploy a model by intent — describe the model, workload, and SLA targets, and let Dynamo profile your hardware and generate the DynamoGraphDeployment for you.
- [Dynamo Profiler](https://docs.nvidia.com/dynamo/v1.4.1/kubernetes/auto-deployment/dynamo-profiler.md): How the profiler turns a DynamoGraphDeploymentRequest into a sized deployment — the pipeline, the two search modes, and what it optimizes for.
- [Tune the Planner](https://docs.nvidia.com/dynamo/v1.4.1/kubernetes/auto-deployment/dynamo-planner.md): Pick the right Planner optimization target and scaling knobs for your workload, and validate the choice before it scales GPUs.