> 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.

# Multinode

## Docs

- [Multinode Deployments](https://docs.nvidia.com/dynamo/v1.4.0/knowledge-base/kubernetes/multinode/multinode-deployments.md): Scales Dynamo inference across multiple GPU nodes with Grove and KAI-Scheduler for large-model tensor parallelism.
- [Grove](https://docs.nvidia.com/dynamo/v1.4.0/knowledge-base/kubernetes/multinode/grove.md): Kubernetes API for orchestrating disaggregated inference with gang scheduling, multi-level autoscaling, and topology-aware placement.
- [Topology Aware Scheduling](https://docs.nvidia.com/dynamo/v1.4.0/knowledge-base/kubernetes/multinode/topology-aware-scheduling.md): Packs prefill, decode, and routing pods within the same rack or zone to reduce inter-node latency.
- [Topology-Aware KV Transfer](https://docs.nvidia.com/dynamo/v1.4.0/knowledge-base/kubernetes/multinode/topology-aware-kv-transfer.md): Keep disaggregated prefill and decode KV-cache transfers within a selected topology domain
- [LWS](https://docs.nvidia.com/dynamo/v1.4.0/knowledge-base/kubernetes/multinode/lws.md): LeaderWorkerSet integration for multinode Dynamo deployments