- New experiments/dsv4_h200_max_context_length/
- start_sglang.sh / start_vllm.sh accept target length as argument
- run_bench.sh tests a ladder of input lengths (default 64k -> 1M)
with --random-range-ratio 1.0 for exact length
- extract_metrics.py + parse_results.py produce results.json + report.md
- README.md documents usage and control variables
- Root README updated with entry and quick command
- New experiments/dsv4_h200_sglang_vs_vllm/ with TP=8 on all 8 H200 cards
- Phase1 short-context throughput + Phase2 long context up to 200k
- Unified scenario matrix, warmup, parsing, and side-by-side comparison report
- H200 SGLang vs vLLM entry added to root README
- Add experiments/dsv4_h200_sglang (config, server start, orchestrator, parser, README)
- Fix start_server.sh to wait for HTTP 200 via curl --fail instead of treating 503 as ready
- Add H200 SGLang baseline to root README and update .gitignore for per-run raw_outputs/logs
- Remove stale experiments/dsv4_h200_dspark/DSPARK_FIX_PR_PREP.md
- Keep only bench_results/dspark_grid_20260707-132641/ in original location
- Move all other historical results to experiments/legacy_bench_results/
- Add README.md explaining the archive contents
- Update root README.md and BENCHMARK_WORKFLOW.md path references
- 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.
