# NVIDIA NIM Benchmarking Documentation

## Instructions for AI Agents

- For clean Markdown of any page, append `.md` to the page URL
- For section-specific indexes, append `/llms.txt` to any section URL
- For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nim/benchmarking/_mcp/server

## Products

- [LLM](https://docs.nvidia.com/nim/benchmarking/llm/llms.txt)
  - [Overview](https://docs.nvidia.com/nim/benchmarking/llm/2.0.0/overview.md)
  - [Metrics](https://docs.nvidia.com/nim/benchmarking/llm/2.0.0/metrics.md)
  - [Parameters and Best Practices](https://docs.nvidia.com/nim/benchmarking/llm/2.0.0/parameters.md)
  - [Using AIPerf to Benchmark](https://docs.nvidia.com/nim/benchmarking/llm/2.0.0/quickstart.md)
  - [Benchmarking LoRA Models](https://docs.nvidia.com/nim/benchmarking/llm/2.0.0/benchmarking-lora.md)