> This page is for Self-Hosted, version v3.0 (default).
> For other versions, use one of these documentation indexes:
> - v3.0 (default): https://docs.nvidia.com/run-ai/self-hosted/v3.0/llms.txt
> - v2.26: https://docs.nvidia.com/run-ai/self-hosted/v2.26/llms.txt
> - v2.25: https://docs.nvidia.com/run-ai/self-hosted/v2.25/llms.txt
> - v2.24: https://docs.nvidia.com/run-ai/self-hosted/v2.24/llms.txt

> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/run-ai/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/run-ai/_mcp/server.

# Quick Start Guides

This quick start helps you get up and running with NVIDIA Run:ai by guiding you through the main stages of platform adoption, from deployment through day-to-day workload execution.

## Deploy Infrastructure

Follow the instructions in the [Deploy Infrastructure Quick Start](/run-ai/self-hosted/documentation/getting-started/quick-starts/deploy-infrastructure-quick-start) to install NVIDIA Run:ai and complete the required post-installation infrastructure setup.

## Configure the Platform

Follow the instructions in the [Configure the Platform Quick Start](/run-ai/self-hosted/documentation/getting-started/quick-starts/configure-the-platform-quick-start) to complete the onboarding wizard, configure authentication and organizational structure, and prepare the platform for teams to run workloads.

## Run Workloads

Follow the instructions in the [Run Workloads Quick Start](/run-ai/self-hosted/documentation/getting-started/quick-starts/run-workloads-quick-start) to log in, select a project, and run experiments and production workloads on NVIDIA Run:ai.