- 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
- Use bash array for SCENARIOS to avoid word-splitting
- Fix metadata config (tp=4, scenarios as array)
- Rewrite parse_results.py for sglang.bench_serving --output-details format
- Update .gitignore to keep experiments/*/results/*.json and *.md,
ignore only raw_outputs/ and logs/ subdirs
- First successful run: 20260708-062348
- 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.
- Remove USE_FAST_BFP16_MOE=1 which caused torch parameter assignment
crash in fresh containers for w8a8_int8 mode.
- Mount model path at its host absolute path inside the container so the
bench client tokenizer can load it regardless of server --model-path.
- Default WARMUP to 0 and NUM_PROMPTS to 10 for a fast smoke test.
- Default to a single scenario; document how to run a full grid.
- Update experiment README with PLATFORM env var and override examples.
