> 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.

# Model Deployment

## Docs

- [Model Deployment](https://docs.nvidia.com/dynamo/v1.4.1/kubernetes/model-deployment/introduction.md): Create and configure a DynamoGraphDeployment to serve a model on Kubernetes.
- [Sidecar Backends](https://docs.nvidia.com/dynamo/v1.4.1/kubernetes/model-deployment/sidecar-backends-experimental.md): Run Dynamo beside a stock inference engine through its native gRPC API.
- [Deploy with DGD](https://docs.nvidia.com/dynamo/v1.4.1/kubernetes/model-deployment/deploy-with-dgd.md): Author a DynamoGraphDeployment spec step by step — choose a model and backend, size parallelism for your hardware, then apply it and send requests.
- [Expose the Frontend](https://docs.nvidia.com/dynamo/v1.4.1/kubernetes/model-deployment/expose-the-frontend.md): Route external traffic to a DynamoGraphDeployment's Frontend with a Kubernetes Ingress, a LoadBalancer Service, or the Inference Gateway.
- [Deploy on Intel GPUs with DRA](https://docs.nvidia.com/dynamo/v1.4.1/kubernetes/model-deployment/deploy-on-intel-gp-us.md): Adapt a DynamoGraphDeployment for Intel GPUs by building an XPU runtime image and allocating devices with Kubernetes Dynamic Resource Allocation.
- [Multinode Deployments](https://docs.nvidia.com/dynamo/v1.4.1/kubernetes/model-deployment/multinode-deployments.md): Scales Dynamo inference across multiple GPU nodes with Grove and KAI-Scheduler for large-model tensor parallelism.
- [Model Caching](https://docs.nvidia.com/dynamo/v1.4.1/kubernetes/model-deployment/model-loading/model-caching.md): Download models once and share across all pods in a Kubernetes cluster
- [Fast Model Weight Loading](https://docs.nvidia.com/dynamo/v1.4.1/kubernetes/model-deployment/model-loading/fast-model-loading.md): Cut cold-start weight-load time on shared PVC storage with a concurrent loader and correct filesystem layout