> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/cluster-readiness-engine/v0.7.0/concepts/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.

# Concepts

## Docs

- [Architecture](https://docs.nvidia.com/cluster-readiness-engine/v0.7.0/concepts/architecture.md): How the NVIDIA Cluster Readiness Engine controller is structured and how its resources compose.
- [Catalog](https://docs.nvidia.com/cluster-readiness-engine/v0.7.0/concepts/catalog.md): How the certification catalog maps domain/variant pairs to workload specs.
- [Workload Types](https://docs.nvidia.com/cluster-readiness-engine/v0.7.0/concepts/workload-types.md): The training frameworks and workload adapters supported by the NVIDIA Cluster Readiness Engine.
- [Health Monitoring & Failed Node Attribution](https://docs.nvidia.com/cluster-readiness-engine/v0.7.0/concepts/health-monitoring-failed-node-attribution.md): How the NVIDIA Cluster Readiness Engine detects node failures and records which nodes failed and why.
- [Goodput & Bandwidth Measurement](https://docs.nvidia.com/cluster-readiness-engine/v0.7.0/concepts/goodput-bandwidth-measurement.md): How the NVIDIA Cluster Readiness Engine measures training throughput and network bandwidth.
- [Platform Detection & Overrides](https://docs.nvidia.com/cluster-readiness-engine/v0.7.0/concepts/platform-detection-overrides.md): How the controller auto-detects cloud platform and GPU architecture, and how overrides are applied.