> For the complete documentation index, see [llms.txt](https://run-ai-docs.nvidia.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://run-ai-docs.nvidia.com/saas/resources/videos/how-to-deploy-dynamo-inference-pipelines.md).

# How to Deploy Dynamo Inference Pipelines

## Dynamo Inference

Learn how to deploy Dynamo, a disaggregated inference framework, using NVIDIA Run:ai.

{% embed url="<https://www.youtube.com/watch?v=6u6Ku3Cx7aI>" %}

{% hint style="info" %}
**Note**

This video was recorded using NVIDIA Run:ai version 2.24.18. The user interface, features, and workflows may differ in newer releases. For the latest information, refer to the current documentation.
{% endhint %}

### What You'll Learn:

* Deploy Dynamo inference workloads with NVIDIA Run:ai
* Use YAML-based deployment workflows
* Automatically recognize and manage Dynamo workloads
* Place distributed inference services efficiently across the cluster
* Use hierarchical gang scheduling to support distributed inference
* Manage scalable inference services on the Run:ai platform


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