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> For a complete documentation index, see https://docs.nvidia.com/cluster-readiness-engine/v0.5.0/getting-started/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/cluster-readiness-engine/_mcp/server.

# Getting Started

## Docs

- [Install](https://docs.nvidia.com/cluster-readiness-engine/v0.5.0/getting-started/install.md): Install the nvcrectl CLI and set up the NVIDIA Cluster Readiness Engine controller on your Kubernetes cluster.
- [Your first certification](https://docs.nvidia.com/cluster-readiness-engine/v0.5.0/getting-started/your-first-certification.md): Install NVCRE on a GPU cluster, run one certification category, read the report, and clean up.
- [Quick Start](https://docs.nvidia.com/cluster-readiness-engine/v0.5.0/getting-started/quick-start.md): Certify a GPU cluster end-to-end in minutes.
- [WorkloadRun Quick Start](https://docs.nvidia.com/cluster-readiness-engine/v0.5.0/getting-started/workload-run-quick-start.md): Run a distributed training or NCCL workload without writing a full Certification spec.