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sglang/deploy/b300-ds41/dockerserve-pd2-d-r2.yml

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# PD2 二分 Round 2 D 侧(2026-09-24):干净 D + 嫌疑项②
# SGLANG_DISAGGREGATION_QUEUE_SIZE=16 + SGLANG_DISAGGREGATION_THREAD_POOL_SIZE=32
services:
sglang:
image: ymkymx/sglang:dsv41-pd-visioncp-db7d2cb7d-fix
container_name: ds41-pd2-decode
shm_size: "32gb"
ipc: host
pid: host
privileged: true
network_mode: host
environment:
- CUDA_VISIBLE_DEVICES=6,7
- SGLANG_RAGGED_VERIFY_MODE=static
- MC_INTRANODE_NVLINK=true
- MC_INTRA_NVLINK=true
- SGLANG_MOONCAKE_SEND_AUX_TCP=1
- SGLANG_ENABLE_DSV41_ENGRAM_HOST_TABLE=1
- SGLANG_DISAGGREGATION_QUEUE_SIZE=16
- SGLANG_DISAGGREGATION_THREAD_POOL_SIZE=32
volumes:
- /data:/data
- /data/ymk/cache/sglang:/root/.cache/sglang
- /data/ymk/sglang/python/sglang/srt/managers/scheduler.py:/sgl-workspace/sglang/python/sglang/srt/managers/scheduler.py
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: all
capabilities: [gpu]
command: >-
sglang serve
--trust-remote-code
--model-path /data/models/DeepSeek-V4.1-Flash
--tp 2
--ep-size 2
--dp-size 2
--enable-dp-attention
--enable-dp-lm-head
--mem-fraction-static 0.75
--attention-backend dsv4
--moe-runner-backend flashinfer_mxfp4
--cuda-graph-max-bs-decode 32
--reasoning-parser auto
--tool-call-parser auto
--default-chat-template-kwargs '{"thinking": true, "reasoning_effort": "high"}'
--tokenizer-worker-num 8
--host 0.0.0.0
--port 30030
--enable-cache-report
--enable-metrics
--speculative-algorithm DSPARK
--speculative-dspark-block-size 5
--disaggregation-mode decode
--disaggregation-transfer-backend mooncake