be94b8e7ef
- Add experiments/dsv4_p800_256k_4k_probe for testing 256k input + 4k output on DeepSeek-V4-Flash-INT8 with Kunlun P800. - Add SGLANG_EXTRA_LAUNCH_ARGS support to scripts/common/server_docker.sh so probe can inject --context-length 270000. - Add w8a8_int8_baseline server mode without EAGLE speculative decoding, matching the long-context P800 tuning. - Switch dsv4_p800_sglang and the new probe to use w8a8_int8_baseline by default; original tuned mode remains available via SERVER_MODE=w8a8_int8.
DSV4 P800 SGLang Benchmark
Kunlun P800 XPU + SGLang + DeepSeek-V4-Flash-INT8 benchmark experiment.
Quick Start
# Run the default smoke-test scenario (starts server, runs benchmark, stops server)
PLATFORM=kunlun_p800 bash experiments/dsv4_p800_sglang/run_bench.sh
# Reuse an already-running server
SKIP_MANAGE_SERVER=1 PLATFORM=kunlun_p800 bash experiments/dsv4_p800_sglang/run_bench.sh
Results land in experiments/dsv4_p800_sglang/results/<RUN_ID>/.
Configuration
Edit config.env or override via environment variables:
# Run a full throughput grid instead of the default single smoke-test scenario
SCENARIOS=("32 512 256" "128 512 256" "256 512 256" "512 512 256") \
NUM_PROMPTS=512 \
PLATFORM=kunlun_p800 \
bash experiments/dsv4_p800_sglang/run_bench.sh
# Use the tuned config with EAGLE speculative decoding instead of the default baseline
SERVER_MODE=w8a8_int8 PLATFORM=kunlun_p800 \
bash experiments/dsv4_p800_sglang/run_bench.sh
Files
| File | Purpose |
|---|---|
config.env |
Experiment-level configuration (model, port, scenarios) |
start_server.sh |
Start the P800 SGLang Docker container |
run_bench.sh |
Orchestrator: server → benchmark → stop server |
parse_results.py |
Parse logs and generate results.json + report.md |
Platform
This experiment targets platforms/kunlun_p800.env.