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

# cuVS Bench Tool

Use these guides to install cuVS Bench, run benchmark workloads, prepare datasets, and extend benchmark backends.

- [Introduction](/user-guide/benchmarking-guide/cu-vs-bench-tool/introduction): learn what cuVS Bench does and when to use it.
- [Installation](/user-guide/benchmarking-guide/cu-vs-bench-tool/installation): install cuVS Bench with packages or containers, or build it from source.
- [Usage](/user-guide/benchmarking-guide/cu-vs-bench-tool/usage): configure algorithms, run benchmarks, and inspect results.
- [Datasets](/user-guide/benchmarking-guide/cu-vs-bench-tool/datasets): prepare benchmark datasets, ground truth, and dataset descriptors.
- [Backends](/user-guide/benchmarking-guide/cu-vs-bench-tool/backends): understand and extend cuVS Bench backend integrations.

## Docs

- [Introduction](https://docs.nvidia.com/cuvs/user-guide/benchmarking-guide/cu-vs-bench-tool/introduction.md)
- [Installation](https://docs.nvidia.com/cuvs/user-guide/benchmarking-guide/cu-vs-bench-tool/installation.md)
- [Usage](https://docs.nvidia.com/cuvs/user-guide/benchmarking-guide/cu-vs-bench-tool/usage.md)
- [Datasets](https://docs.nvidia.com/cuvs/user-guide/benchmarking-guide/cu-vs-bench-tool/datasets.md)
- [Synthetic Dataset Generation](https://docs.nvidia.com/cuvs/user-guide/benchmarking-guide/cu-vs-bench-tool/synthetic-dataset-generation.md)
- [Backends](https://docs.nvidia.com/cuvs/user-guide/benchmarking-guide/cu-vs-bench-tool/backends.md)