sskj/experiments/p800/dsv4_p800_256k_4k_probe
yy-fighting 8652a685e6 rewrite README, add new platform onboarding guide, fix broken scripts/common paths
- rewrite README with project purpose, standard workflow, corrected index
- add docs/NEW_PLATFORM_GUIDE.md (new GPU onboarding SOP, GLM5.2 reuse)
- fix ../../scripts/common -> ../../../scripts/common in 42 experiment scripts
- refresh stale docs (EXPERIMENT_GUIDE, H200_QUICKSTART, ADAPTIVE_CONCURRENCY_USAGE, BENCHMARK_WORKFLOW)
- remove dead code (dp_proxy.py) and .bak leftovers
- add p800 adaptive results (tp4_dp2/tp8_dp1 metrics + summary)
- gitignore envs/charts and .tmp_charts
2026-07-17 06:18:05 +00:00
..

DSV4 P800 256k-Input / 4k-Output Probe

Kunlun P800 XPU + SGLang + DeepSeek-V4-Flash-INT8 long-context OOM probe.

What it does

Sends 4 prompts with 262144 input tokens and requests 4096 output tokens at concurrency=2, then checks whether the server completes the scenario without OOM or context-length errors.

Quick Start

PLATFORM=kunlun_p800 \
SKIP_MANAGE_SERVER=1 \
PORT=30000 \
bash experiments/p800/dsv4_p800_256k_4k_probe/run_bench.sh

Standalone (starts its own Docker container)

PLATFORM=kunlun_p800 \
bash experiments/p800/dsv4_p800_256k_4k_probe/run_bench.sh

This will start a fresh sglang-dsv4-flash container with the baseline w8a8_int8 launch args (no EAGLE speculative decoding), plus --context-length 270000 --max-running-requests 4, and tear it down on exit.

To use the tuned config with EAGLE speculative decoding instead:

SERVER_MODE=w8a8_int8 PLATFORM=kunlun_p800 \
bash experiments/p800/dsv4_p800_256k_4k_probe/run_bench.sh

Configuration

Edit config.env or override via environment variables:

# Use a different port or model path
PORT=30001 \
MODEL_PATH=/data1/models/DeepSeek-V4-Flash-INT8 \
PLATFORM=kunlun_p800 \
bash experiments/p800/dsv4_p800_256k_4k_probe/run_bench.sh

Files

File Purpose
config.env Experiment-level configuration (model, port, scenario)
start_server.sh Start the P800 SGLang Docker container with 256k context args
run_bench.sh Orchestrator: server → warmup → probe scenario → stop server
parse_results.py Parse logs and generate results.json + report.md

Platform

This experiment targets platforms/kunlun_p800.env.