Quantong Qiu a5d69dfd9a docs(h200): H200 quick-start guide, porting workflow, and example experiment

- Update platforms/nvidia_h200.env with ENGINE and configurable venv/paths.
- Update platforms/README.md with H200 notes and platform-addition guide.
- Add docs/H200_QUICKSTART.md with concrete H200 usage steps.
- Add experiments/dsv4_h200_dspark/ as a migration wrapper around the
  existing scripts/benchmark_dspark_0707/ grid benchmark, writing results
  into the new experiments/<name>/results/<RUN_ID>/ layout.
- Update BENCHMARK_WORKFLOW.md with a 'Adding a New Platform or Experiment'
  section and mention the H200 wrapper in Quick Start.
- Update main README.md to index the H200 experiment and link to the guide.

2026-07-08 05:55:11 +00:00

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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

# 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:

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.

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