> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/aiperf/v0.12.0/tutorials/load-patterns-scheduling/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/aiperf/_mcp/server.

# Load Patterns & Scheduling

## Docs

- [Arrival Patterns: Simulating Realistic Traffic](https://docs.nvidia.com/aiperf/v0.12.0/tutorials/load-patterns-scheduling/arrival-patterns-simulating-realistic-traffic.md)
- [Fixed Schedule Benchmarking](https://docs.nvidia.com/aiperf/v0.12.0/tutorials/load-patterns-scheduling/fixed-schedule-benchmarking.md)
- [Gradual Ramping](https://docs.nvidia.com/aiperf/v0.12.0/tutorials/load-patterns-scheduling/gradual-ramping.md)
- [Request Rate with Max Concurrency](https://docs.nvidia.com/aiperf/v0.12.0/tutorials/load-patterns-scheduling/request-rate-with-max-concurrency.md)
- [Prefill Concurrency: Fine-Grained Benchmarking Control](https://docs.nvidia.com/aiperf/v0.12.0/tutorials/load-patterns-scheduling/prefill-concurrency-fine-grained-benchmarking-control.md)
- [Adaptive Scale](https://docs.nvidia.com/aiperf/v0.12.0/tutorials/load-patterns-scheduling/adaptive-scale.md)
- [Multi-Phase Workflows](https://docs.nvidia.com/aiperf/v0.12.0/tutorials/load-patterns-scheduling/multi-phase-workflows.md)
- [Time-Based Benchmarking](https://docs.nvidia.com/aiperf/v0.12.0/tutorials/load-patterns-scheduling/time-based-benchmarking.md)
- [Multi-URL Load Balancing](https://docs.nvidia.com/aiperf/v0.12.0/tutorials/load-patterns-scheduling/multi-url-load-balancing.md)
- [Request Cancellation Testing](https://docs.nvidia.com/aiperf/v0.12.0/tutorials/load-patterns-scheduling/request-cancellation-testing.md)
- [Warmup Phase Configuration](https://docs.nvidia.com/aiperf/v0.12.0/tutorials/load-patterns-scheduling/warmup-phase-configuration.md)