# DSV4 H200 DSpark Benchmark

NVIDIA H200 + native `vllm-dspark` + `DeepSeek-V4-Flash-DSpark` benchmark experiment.

This is a migration wrapper: it reuses the proven legacy scripts under
`scripts/benchmark_dspark_0707/` and `scripts/start_dsv4_dspark_8card.sh`,
but stores results in the new `experiments/<name>/results/<RUN_ID>/` layout.

## Quick Start

```bash
# Run the full DSpark P1/P2/P3 grid
bash experiments/dsv4_h200_dspark/run_bench.sh

# Reuse an already-running server
SKIP_MANAGE_SERVER=1 bash experiments/dsv4_h200_dspark/run_bench.sh
```

Results land in `experiments/dsv4_h200_dspark/results/<RUN_ID>/`.

## Configuration

Edit `config.env` or override via environment variables:

```bash
MODEL_PATH=/data/models/DeepSeek-V4-Flash-DSpark \
PORT=30004 \
bash experiments/dsv4_h200_dspark/run_bench.sh
```

## Files

| File | Purpose |
|---|---|
| `config.env` | Experiment-level configuration (model, port, venv paths) |
| `run_bench.sh` | Orchestrator: metadata → legacy grid benchmark → parse |
| `parse_results.py` | Wraps the legacy parser to generate `report.md` |

## Platform

This experiment targets `platforms/nvidia_h200.env`.