# Platform Overview ## NVIDIA Run:ai Platform Overview Get an overview of the NVIDIA Run:ai platform and how it simplifies AI infrastructure management across training, inference, and interactive workloads. {% 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: * Orchestrate training, inference, and interactive workloads from one platform * Schedule GPU resources intelligently * Place workloads using topology-aware scheduling * Manage quotas dynamically across teams and projects * Centralize cluster management * Improve GPU utilization and accelerate AI operations --- # 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/platform-overview.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.