# How to Deploy Dynamo Inference Pipelines ## Dynamo Inference Learn how to deploy Dynamo, a disaggregated inference framework, using NVIDIA Run:ai. {% embed url="" %} {% 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 --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://run-ai-docs.nvidia.com/self-hosted/resources/videos/how-to-deploy-dynamo-inference-pipelines.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.