sskj/experiments/dsv4_h200_dspark
Quantong Qiu 8e15ffe1c7 refactor: relocate old docs and add dsv4_h200_vllm experiment
- Move dspark_deepseekv4_fix_pr_prep.md into experiments/dsv4_h200_dspark/
- Move dsv4_inference_comparison_report.md into docs/
- Delete obsolete cleanup_summary.md
- Add experiments/dsv4_h200_vllm/ baseline experiment (envs/vllm + envs/sglang)
2026-07-08 06:19:40 +00:00
..

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.