- 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
P800 Long-Context Matrix for DeepSeek-V4-Flash-INT8
Long-context throughput/latency matrix for SGLang-XPU on Kunlun P800 (8x XPU).
Scope
- Model:
DeepSeek-V4-Flash-INT8(W8A8 INT8) - Backend/engine:
sglang-xpu - Hardware: 8x Kunlun P800 XPU
- Input lengths: 64k, 128k
- Output lengths: 256, 1024, 4096
- Concurrency: 1 — P800 INT8 can only sustain one concurrent long-context request without OOM;
max_running=2is kept becausemax_running=1triggersreq_to_token_poolallocation failures in this image.
Usage
cd /data1/yy/sskj/experiments/dsv4_p800_long_context_matrix
bash run_bench.sh
Optional environment overrides:
PORT=30013 RUN_ID=myrun bash run_bench.sh
Outputs
Results are saved under results/${RUN_ID}/:
raw_outputs/: rawsglang.bench_servingJSONL filesreport.md: parsed per-scenario metricsresults.json: structured metadata + scenarios