History

yy-fighting 8b82f700e4 feat: add H200 SGLang baseline experiment and fix health check

- 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

2026-07-08 06:56:45 +00:00

config.env

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

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

parse_results.py

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

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

README.md

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

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

run_bench.sh

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

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

README.md

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.