> This page is for version v0.24.0.
> For other versions, use one of these documentation indexes:
> - Latest (default): https://docs.nvidia.com/nemo/guardrails/latest/llms.txt
> - v0.24.1: https://docs.nvidia.com/nemo/guardrails/v0.24.1/llms.txt
> - v0.24.0: https://docs.nvidia.com/nemo/guardrails/v0.24.0/llms.txt
> - v0.23.0: https://docs.nvidia.com/nemo/guardrails/v0.23.0/llms.txt
> - v0.22.0: https://docs.nvidia.com/nemo/guardrails/v0.22.0/llms.txt

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

# About Deployment Options

> Deploy guardrails using the local API server, Docker containers, or production microservices.

You can deploy the NeMo Guardrails library as a Docker container or use the production-ready, deployment-ready, pre-built microservice in the NeMo microservices platform.

#### [Docker](/more-deployment-options/using-docker)

Build and run NeMo Guardrails Docker images for rapid deployment and testing.

How To

#### [NeMo Microservice](/more-deployment-options/using-microservice)

Deploy guardrails as a production-ready microservice using the NeMo microservices platform.

How To