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feat(910c): 部署解耦 - vLLM-Ascend profile 与 deploy 层接管服务启停

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- deploy/profiles/910c/ 新增 dsv4/glm52 两个 vLLM-Ascend profile
  (JSON 参数经 BOOTSTRAP base64 注入避开镜像 entrypoint 转义；per-TP 参数
  由 start 脚本导出后经 profile 模板展开)
- dsv4/glm52 start_vllm_docker.sh 改为 deploy 薄包装(保留 sg docker 重入与
  per-TP 覆盖)，新增 stop_vllm_docker.sh
- run_bench.sh / run_adaptive_concurrency*.sh 的 stop/build_server_args 改走
  deploy_stop/deploy_render_args
- runtime.py 修复单节点 dry-run 未跳过健康检查的 bug
- ops/README.md 补 910c 章节；.gitignore 补 910c ops_ 输出规则
- 附带入库 910c adaptive 汇总结果
This commit is contained in:
shishi 2026-08-03 15:36:11 +08:00
parent 9acf9fdfdb
commit 6ba04325d3
72 changed files with 1477 additions and 503 deletions
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3
.gitignore vendored
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@ -88,8 +88,9 @@ dataset/
experiments/**/raw_outputs/
**/dummy_sharegpt.json
# pro6000 统一 bench CLI 的一次性测试输出（ops_ 前缀 run_id）
# 统一 bench CLI 的一次性测试输出（ops_ 前缀 run_id）
experiments/pro6000/*/results/ops_*/
experiments/910c/*/results/ops_*/
# Virtual environments (keep only docs under envs/)
envs/*

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# DeepSeek-V4-Flash w8a8-mtp vLLM-Ascend TPxDP profile on a single 910C node
# (8x Ascend910 = 16 dies, 64GB HBM/die).
# Launch via BOOTSTRAP (base64) so the JSON-bearing args survive the image
# entrypoint; the container runs vllm serve in the foreground.
# Model-team only. Ops only run `python -m sskj.bench` against the served URL.
PLATFORM=910c
EXPERIMENT=dsv4_910c_vllm_tp_dp_matrix
MODEL_NAME=DeepSeek-V4-Flash
ENGINE=vllm
RUNTIME=docker
DOCKER_IMAGE=local/vllm-ascend:0.23-a3-dsv4-sglang
CONTAINER_NAME=vllm-ascend-dsv4-910c_tp${TP}_dp${DP}
MODEL_PATH=/mnt/models/DeepSeek-V4-Flash-w8a8-mtp
SERVED_MODEL_NAME=dsv4
PORT=30052
HEALTH_PATH=/health
HEALTH_WAIT_S=2400
CONTAINER_PYTHON=/usr/local/python3.12.13/bin/python3
DEVICE_VARS="ASCEND_VISIBLE_DEVICES=0,1,2,3,4,5,6,7"
ENGINE_ENV="PYTORCH_NPU_ALLOC_CONF=expandable_segments:True PYTHONUNBUFFERED=1 HF_HUB_OFFLINE=1 TRANSFORMERS_OFFLINE=1 OMP_PROC_BIND=false OMP_NUM_THREADS=10 HCCL_BUFFSIZE=1024 VLLM_ASCEND_ENABLE_FLASHCOMM1=1 TASK_QUEUE_ENABLE=1 HCCL_OP_EXPANSION_MODE=AIV LD_PRELOAD=/usr/lib64/libjemalloc.so.2"
DOCKER_FLAGS="--privileged --ipc host --shm-size 512g --network host --ulimit memlock=-1 --device /dev/davinci0 --device /dev/davinci1 --device /dev/davinci2 --device /dev/davinci3 --device /dev/davinci4 --device /dev/davinci5 --device /dev/davinci6 --device /dev/davinci7 --device /dev/davinci8 --device /dev/davinci9 --device /dev/davinci10 --device /dev/davinci11 --device /dev/davinci12 --device /dev/davinci13 --device /dev/davinci14 --device /dev/davinci15 --device /dev/davinci_manager --device /dev/devmm_svm --device /dev/hisi_hdc"
VOLUMES="/usr/local/dcmi:/usr/local/dcmi /usr/local/Ascend/driver/tools/hccn_tool:/usr/local/Ascend/driver/tools/hccn_tool /usr/local/bin/npu-smi:/usr/local/bin/npu-smi /usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64 /usr/local/Ascend/driver/version.info:/usr/local/Ascend/driver/version.info /etc/ascend_install.info:/etc/ascend_install.info /etc/hccn.conf:/etc/hccn.conf ${MODEL_PATH}:${MODEL_PATH}:ro /mnt:/mnt"
LAUNCH_ARGS="${MODEL_PATH} --served-model-name ${SERVED_MODEL_NAME} --block-size 128 --tensor-parallel-size ${TP} --gpu-memory-utilization ${GPU_MEMORY_UTILIZATION:-0.9} --max-model-len ${MAX_MODEL_LEN:-1048576} --max-num-seqs ${MAX_NUM_SEQS:-64} --max-num-batched-tokens ${MAX_NUM_BATCHED_TOKENS:-10240} --api-server-count 1 --host 0.0.0.0 --port ${PORT} --tokenizer-mode deepseek_v4 --tool-call-parser deepseek_v4 --enable-auto-tool-choice --reasoning-parser deepseek_v4 --quantization ascend --safetensors-load-strategy prefetch --enable-expert-parallel --async-scheduling --model-loader-extra-config '{\"enable_multithread_load\": \"true\", \"num_threads\": 128}' --compilation-config '{\"cudagraph_mode\": \"FULL_DECODE_ONLY\"}' --additional-config '{\"ascend_compilation_config\":{\"enable_npugraph_ex\":true,\"enable_static_kernel\":false},\"enable_cpu_binding\": true,\"multistream_overlap_shared_expert\":true}'"
DP_FLAG="--data-parallel-size ${DP}"
BOOTSTRAP="for sh in /usr/local/Ascend/ascend-toolkit/set_env.sh /usr/local/Ascend/cann-9.0.1/share/info/ascendnpu-ir/bin/set_env.sh /usr/local/Ascend/cann-9.0.0/share/info/ascendnpu-ir/bin/set_env.sh /usr/local/Ascend/nnal/atb/set_env.sh; do [ -f \$sh ] && source \$sh && break; done; exec vllm serve ${LAUNCH_ARGS}"

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# GLM-5.2 w4a8c8 vLLM-Ascend TPxDP profile on a single 910C node
# (8x Ascend910 = 16 dies, 64GB HBM/die). GLM5.2-tuned image.
# Launch via BOOTSTRAP (base64) so the JSON-bearing args survive the image
# entrypoint; the container runs vllm serve in the foreground.
# Model-team only. Ops only run `python -m sskj.bench` against the served URL.
PLATFORM=910c
EXPERIMENT=glm52_910c_vllm_tp_dp_matrix
MODEL_NAME=GLM-5.2
ENGINE=vllm
RUNTIME=docker
DOCKER_IMAGE=local/vllm-ascend:0.23-a3-20260718-sglang
CONTAINER_NAME=vllm-ascend-glm52-910c_tp${TP}_dp${DP}
MODEL_PATH=/mnt/models/GLM-5.2-w4a8c8
SERVED_MODEL_NAME=glm-5.2
PORT=30050
HEALTH_PATH=/health
HEALTH_WAIT_S=2400
CONTAINER_PYTHON=/usr/local/python3.12.13/bin/python3
DEVICE_VARS="ASCEND_VISIBLE_DEVICES=0,1,2,3,4,5,6,7"
ENGINE_ENV="PYTORCH_NPU_ALLOC_CONF=expandable_segments:True PYTHONUNBUFFERED=1 HF_HUB_OFFLINE=1 TRANSFORMERS_OFFLINE=1 VLLM_ASCEND_ENABLE_FLASHCOMM1=1"
DOCKER_FLAGS="--privileged --ipc host --shm-size 512g --network host --ulimit memlock=-1 --device /dev/davinci0 --device /dev/davinci1 --device /dev/davinci2 --device /dev/davinci3 --device /dev/davinci4 --device /dev/davinci5 --device /dev/davinci6 --device /dev/davinci7 --device /dev/davinci8 --device /dev/davinci9 --device /dev/davinci10 --device /dev/davinci11 --device /dev/davinci12 --device /dev/davinci13 --device /dev/davinci14 --device /dev/davinci15 --device /dev/davinci_manager --device /dev/devmm_svm --device /dev/hisi_hdc"
VOLUMES="/usr/local/Ascend/driver/tools/hccn_tool:/usr/local/Ascend/driver/tools/hccn_tool /usr/local/bin/npu-smi:/usr/local/bin/npu-smi /usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64 /usr/local/Ascend/driver/version.info:/usr/local/Ascend/driver/version.info /etc/ascend_install.info:/etc/ascend_install.info /etc/hccn.conf:/etc/hccn.conf ${MODEL_PATH}:${MODEL_PATH}:ro /usr/local/dcmi:/usr/local/dcmi /mnt:/mnt"
LAUNCH_ARGS="${MODEL_PATH} --served-model-name ${SERVED_MODEL_NAME} --trust-remote-code --block-size 128 --tensor-parallel-size ${TP} --enable-expert-parallel --gpu-memory-utilization ${GPU_MEMORY_UTILIZATION:-0.95} --max-model-len ${MAX_MODEL_LEN:-131072} --max-num-seqs ${MAX_NUM_SEQS:-256} --max-num-batched-tokens ${MAX_NUM_BATCHED_TOKENS:-8192} --api-server-count 1 --host 0.0.0.0 --port ${PORT} --compilation-config '{\"cudagraph_mode\": \"FULL_DECODE_ONLY\"}' --additional-config '{\"enable_dsa_cp\": true,\"enable_sparse_sfa_c8\": false, \"enable_sparse_li_c8\": true,\"enable_balance_scheduling\": true,\"multistream_overlap_shared_expert\":true}'"
DP_FLAG="--data-parallel-size ${DP}"
BOOTSTRAP="for sh in /usr/local/Ascend/ascend-toolkit/set_env.sh /usr/local/Ascend/cann-9.0.1/share/info/ascendnpu-ir/bin/set_env.sh /usr/local/Ascend/cann-9.0.0/share/info/ascendnpu-ir/bin/set_env.sh /usr/local/Ascend/nnal/atb/set_env.sh; do [ -f \$sh ] && source \$sh && break; done; exec vllm serve ${LAUNCH_ARGS}"

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{"timestamp": "2026-07-29T11:50:47+08:00", "engine": "vllm", "tp": 4, "dp": 2, "mark": "Y", "isl": 1024, "osl": 128, "status": "TTFT_BOUNDARY", "stop_reason": "TTFT_SLO_EXCEEDED", "tested_points": 3, "search_cap": 256, "max_successful_concurrency": 48, "saturation_concurrency": null, "stop_probe_concurrency": 48, "best_tps_concurrency": 48, "best_total_tps": 5069.798064365613, "last_total_tps": 5069.798064365613}

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# Adaptive concurrency search summary
| Engine | TP | DP | ISL | OSL | Stop | Saturation C | Best TPS C | Best Total TPS | Max successful C |
|---|---:|---:|---:|---:|---|---:|---:|---:|---:|
| vllm | 4 | 2 | 1024 | 128 | TTFT_SLO_EXCEEDED | None | 48 | 5069.798064365613 | 48 |
`Saturation C` is the first point in the final low-gain streak. `Best TPS C` is the tested point with the highest observed Total TPS.

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{"status":"COMPLETED","completed":80,"failed":0,"duration_s":32.54043653002009,"request_tps":2.458479618925709,"input_tps":2517.483129779926,"output_tps":314.68539122249075,"total_tps":2832.1685210024166,"mean_input_tokens":1024.0,"mean_output_tokens":128.0,"ttft_p50_ms":1178.376264986582,"ttft_p95_ms":1744.3892850889824,"ttft_p99_ms":1881.6810713254374,"tpot_p50_ms":41.60951500012371,"tpot_p95_ms":105.56267855407246,"tpot_p99_ms":60.98298653290148,"e2e_p50_ms":6521.07125998009,"e2e_p95_ms":8387.368027481714,"e2e_p99_ms":8883.328670103796,"itl_p50_ms":49.741589988116175,"itl_p95_ms":397.93538753292523,"itl_p99_ms":434.0583304758184,"validation_errors":[],"timestamp":"2026-07-29T13:31:58+08:00","engine":"vllm","tp":4,"dp":2,"mark":"Y","isl":1024,"osl":128,"concurrency":16,"num_prompts":80,"warmup_requests":16,"attempt":1,"gain_pct":null,"plateau_streak":0,"error_type":"","raw_file":"/mnt/yy/sskj/experiments/910c/dsv4_910c_vllm_tp_dp_matrix/adaptive_results/adaptive_20260729-131331/tp4_dp2/raw_outputs/vllm_adaptive_c16_i1024_o128_a1.jsonl","detail_log":"/mnt/yy/sskj/experiments/910c/dsv4_910c_vllm_tp_dp_matrix/adaptive_results/adaptive_20260729-131331/tp4_dp2/logs/vllm_c16_i1024_o128_a1.log"}
{"status":"COMPLETED","completed":160,"failed":0,"duration_s":54.806936430046335,"request_tps":2.919338507530309,"input_tps":2989.4026317110365,"output_tps":373.67532896387956,"total_tps":3363.077960674916,"mean_input_tokens":1024.0,"mean_output_tokens":128.0,"ttft_p50_ms":1552.6748099946417,"ttft_p95_ms":2799.1436289856147,"ttft_p99_ms":4081.1345711071,"tpot_p50_ms":74.8756598423631,"tpot_p95_ms":168.06996610903298,"tpot_p99_ms":94.46507637603501,"e2e_p50_ms":10864.70078502316,"e2e_p95_ms":12499.93150093942,"e2e_p99_ms":13733.595000598576,"itl_p50_ms":61.65496492758393,"itl_p95_ms":426.26925505464897,"itl_p99_ms":454.9201102578081,"validation_errors":[],"timestamp":"2026-07-29T13:44:25+08:00","engine":"vllm","tp":4,"dp":2,"mark":"Y","isl":1024,"osl":128,"concurrency":32,"num_prompts":160,"warmup_requests":32,"attempt":2,"gain_pct":18.745687,"plateau_streak":0,"error_type":"","raw_file":"/mnt/yy/sskj/experiments/910c/dsv4_910c_vllm_tp_dp_matrix/adaptive_results/adaptive_20260729-131331/tp4_dp2/raw_outputs/vllm_adaptive_c32_i1024_o128_a2.jsonl","detail_log":"/mnt/yy/sskj/experiments/910c/dsv4_910c_vllm_tp_dp_matrix/adaptive_results/adaptive_20260729-131331/tp4_dp2/logs/vllm_c32_i1024_o128_a2.log"}
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4
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{"timestamp":"2026-07-29T13:45:44+08:00","engine":"vllm","tp":4,"dp":2,"mark":"Y","isl":1024,"osl":128,"status":"TTFT_BOUNDARY","stop_reason":"TTFT_SLO_EXCEEDED","tested_points":3,"search_cap":256,"max_successful_concurrency":48,"saturation_concurrency":null,"stop_probe_concurrency":48,"best_tps_concurrency":48,"best_total_tps":4891.061907784986,"last_total_tps":4891.061907784986}
{"timestamp":"2026-07-29T13:49:05+08:00","engine":"vllm","tp":4,"dp":2,"mark":"Y","isl":1024,"osl":256,"status":"TTFT_BOUNDARY","stop_reason":"TTFT_SLO_EXCEEDED","tested_points":2,"search_cap":256,"max_successful_concurrency":32,"saturation_concurrency":null,"stop_probe_concurrency":32,"best_tps_concurrency":32,"best_total_tps":2205.2911145263356,"last_total_tps":2205.2911145263356}
{"timestamp":"2026-07-29T13:53:54+08:00","engine":"vllm","tp":4,"dp":2,"mark":"Y","isl":1024,"osl":512,"status":"TTFT_BOUNDARY","stop_reason":"TTFT_SLO_EXCEEDED","tested_points":2,"search_cap":256,"max_successful_concurrency":32,"saturation_concurrency":null,"stop_probe_concurrency":32,"best_tps_concurrency":32,"best_total_tps":1780.0375569607418,"last_total_tps":1780.0375569607418}
{"timestamp":"2026-07-29T14:07:33+08:00","engine":"vllm","tp":4,"dp":2,"mark":"Y","isl":1024,"osl":1024,"status":"FAILED","stop_reason":"BENCHMARK_FAILED","tested_points":3,"search_cap":256,"max_successful_concurrency":32,"saturation_concurrency":null,"stop_probe_concurrency":48,"best_tps_concurrency":32,"best_total_tps":1420.5249115465142,"last_total_tps":1420.5249115465142}

4
experiments/910c/dsv4_910c_vllm_tp_dp_matrix/adaptive_results/adaptive_20260729-131331/adaptive_summary.jsonl Normal file
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{"timestamp": "2026-07-29T13:45:44+08:00", "engine": "vllm", "tp": 4, "dp": 2, "mark": "Y", "isl": 1024, "osl": 128, "status": "TTFT_BOUNDARY", "stop_reason": "TTFT_SLO_EXCEEDED", "tested_points": 3, "search_cap": 256, "max_successful_concurrency": 48, "saturation_concurrency": null, "stop_probe_concurrency": 48, "best_tps_concurrency": 48, "best_total_tps": 4891.061907784986, "last_total_tps": 4891.061907784986}
{"timestamp": "2026-07-29T13:49:05+08:00", "engine": "vllm", "tp": 4, "dp": 2, "mark": "Y", "isl": 1024, "osl": 256, "status": "TTFT_BOUNDARY", "stop_reason": "TTFT_SLO_EXCEEDED", "tested_points": 2, "search_cap": 256, "max_successful_concurrency": 32, "saturation_concurrency": null, "stop_probe_concurrency": 32, "best_tps_concurrency": 32, "best_total_tps": 2205.2911145263356, "last_total_tps": 2205.2911145263356}
{"timestamp": "2026-07-29T13:53:54+08:00", "engine": "vllm", "tp": 4, "dp": 2, "mark": "Y", "isl": 1024, "osl": 512, "status": "TTFT_BOUNDARY", "stop_reason": "TTFT_SLO_EXCEEDED", "tested_points": 2, "search_cap": 256, "max_successful_concurrency": 32, "saturation_concurrency": null, "stop_probe_concurrency": 32, "best_tps_concurrency": 32, "best_total_tps": 1780.0375569607418, "last_total_tps": 1780.0375569607418}
{"timestamp": "2026-07-29T14:07:33+08:00", "engine": "vllm", "tp": 4, "dp": 2, "mark": "Y", "isl": 1024, "osl": 1024, "status": "FAILED", "stop_reason": "BENCHMARK_FAILED", "tested_points": 3, "search_cap": 256, "max_successful_concurrency": 32, "saturation_concurrency": null, "stop_probe_concurrency": 48, "best_tps_concurrency": 32, "best_total_tps": 1420.5249115465142, "last_total_tps": 1420.5249115465142}

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experiments/910c/dsv4_910c_vllm_tp_dp_matrix/adaptive_results/adaptive_20260729-131331/adaptive_summary.md Normal file
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# Adaptive concurrency search summary
| Engine | TP | DP | ISL | OSL | Stop | Saturation C | Best TPS C | Best Total TPS | Max successful C |
|---|---:|---:|---:|---:|---|---:|---:|---:|---:|
| vllm | 4 | 2 | 1024 | 128 | TTFT_SLO_EXCEEDED | None | 48 | 4891.061907784986 | 48 |
| vllm | 4 | 2 | 1024 | 256 | TTFT_SLO_EXCEEDED | None | 32 | 2205.2911145263356 | 32 |
| vllm | 4 | 2 | 1024 | 512 | TTFT_SLO_EXCEEDED | None | 32 | 1780.0375569607418 | 32 |
| vllm | 4 | 2 | 1024 | 1024 | BENCHMARK_FAILED | None | 32 | 1420.5249115465142 | 32 |
`Saturation C` is the first point in the final low-gain streak. `Best TPS C` is the tested point with the highest observed Total TPS.

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{
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"tokenize_prompt": false,
"random_range_ratio": 1.0,
"search": {
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"max_concurrency": 256,
"multiplier": 2,
"initial_backoff_concurrencies": [
8,
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"num_prompts_multiplier": 5,
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"warmup_max_requests": 0,
"ttft_slo_ms": 4000.0,
"enable_ttft_slo_stop": 1,
"ttft_group_skip_ms": 8000.0
}
}

31
experiments/910c/dsv4_910c_vllm_tp_dp_matrix/adaptive_results/adaptive_20260729-131331/shapes.tsv Normal file
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mark input_len output_len
Y 1024 128
Y 1024 256
Y 1024 512
Y 1024 1024
Y 1024 2048
Y 1024 4096
Y 4096 128
Y 4096 256
Y 4096 512
Y 4096 1024
Y 4096 2048
Y 4096 4096
Y 8192 128
Y 8192 256
Y 8192 512
Y 8192 1024
Y 8192 2048
Y 8192 4096
Y 16384 128
Y 16384 256
Y 16384 512
Y 16384 1024
Y 16384 2048
Y 32768 128
Y 32768 256
Y 32768 512
Y 32768 1024
Y 65536 128
Y 65536 256
Y 131072 128
1 mark input_len output_len
2 Y 1024 128
3 Y 1024 256
4 Y 1024 512
5 Y 1024 1024
6 Y 1024 2048
7 Y 1024 4096
8 Y 4096 128
9 Y 4096 256
10 Y 4096 512
11 Y 4096 1024
12 Y 4096 2048
13 Y 4096 4096
14 Y 8192 128
15 Y 8192 256
16 Y 8192 512
17 Y 8192 1024
18 Y 8192 2048
19 Y 8192 4096
20 Y 16384 128
21 Y 16384 256
22 Y 16384 512
23 Y 16384 1024
24 Y 16384 2048
25 Y 32768 128
26 Y 32768 256
27 Y 32768 512
28 Y 32768 1024
29 Y 65536 128
30 Y 65536 256
31 Y 131072 128

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4
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{"timestamp":"2026-07-29T13:45:43+08:00","engine":"vllm","tp":4,"dp":4,"mark":"Y","isl":1024,"osl":128,"status":"TTFT_BOUNDARY","stop_reason":"TTFT_SLO_BACKOFF_FOUND","tested_points":2,"search_cap":256,"max_successful_concurrency":8,"saturation_concurrency":null,"stop_probe_concurrency":8,"best_tps_concurrency":16,"best_total_tps":1666.3225799137726,"last_total_tps":815.0660192018358}
{"timestamp":"2026-07-29T13:49:05+08:00","engine":"vllm","tp":4,"dp":4,"mark":"Y","isl":1024,"osl":256,"status":"TTFT_BOUNDARY","stop_reason":"TTFT_SLO_EXCEEDED","tested_points":2,"search_cap":256,"max_successful_concurrency":32,"saturation_concurrency":null,"stop_probe_concurrency":32,"best_tps_concurrency":32,"best_total_tps":2205.2911145263356,"last_total_tps":2205.2911145263356}
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{"timestamp":"2026-07-29T14:04:55+08:00","engine":"vllm","tp":4,"dp":4,"mark":"Y","isl":1024,"osl":1024,"status":"FAILED","stop_reason":"BENCHMARK_FAILED","tested_points":3,"search_cap":256,"max_successful_concurrency":32,"saturation_concurrency":null,"stop_probe_concurrency":48,"best_tps_concurrency":32,"best_total_tps":1420.5249115465142,"last_total_tps":1420.5249115465142}

4
experiments/910c/dsv4_910c_vllm_tp_dp_matrix/adaptive_results/adaptive_20260729-133518/adaptive_summary.jsonl Normal file
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{"timestamp": "2026-07-29T13:45:43+08:00", "engine": "vllm", "tp": 4, "dp": 4, "mark": "Y", "isl": 1024, "osl": 128, "status": "TTFT_BOUNDARY", "stop_reason": "TTFT_SLO_BACKOFF_FOUND", "tested_points": 2, "search_cap": 256, "max_successful_concurrency": 8, "saturation_concurrency": null, "stop_probe_concurrency": 8, "best_tps_concurrency": 16, "best_total_tps": 1666.3225799137726, "last_total_tps": 815.0660192018358}
{"timestamp": "2026-07-29T13:49:05+08:00", "engine": "vllm", "tp": 4, "dp": 4, "mark": "Y", "isl": 1024, "osl": 256, "status": "TTFT_BOUNDARY", "stop_reason": "TTFT_SLO_EXCEEDED", "tested_points": 2, "search_cap": 256, "max_successful_concurrency": 32, "saturation_concurrency": null, "stop_probe_concurrency": 32, "best_tps_concurrency": 32, "best_total_tps": 2205.2911145263356, "last_total_tps": 2205.2911145263356}
{"timestamp": "2026-07-29T13:53:54+08:00", "engine": "vllm", "tp": 4, "dp": 4, "mark": "Y", "isl": 1024, "osl": 512, "status": "TTFT_BOUNDARY", "stop_reason": "TTFT_SLO_EXCEEDED", "tested_points": 2, "search_cap": 256, "max_successful_concurrency": 32, "saturation_concurrency": null, "stop_probe_concurrency": 32, "best_tps_concurrency": 32, "best_total_tps": 1780.0375569607418, "last_total_tps": 1780.0375569607418}
{"timestamp": "2026-07-29T14:04:55+08:00", "engine": "vllm", "tp": 4, "dp": 4, "mark": "Y", "isl": 1024, "osl": 1024, "status": "FAILED", "stop_reason": "BENCHMARK_FAILED", "tested_points": 3, "search_cap": 256, "max_successful_concurrency": 32, "saturation_concurrency": null, "stop_probe_concurrency": 48, "best_tps_concurrency": 32, "best_total_tps": 1420.5249115465142, "last_total_tps": 1420.5249115465142}

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# Adaptive concurrency search summary
| Engine | TP | DP | ISL | OSL | Stop | Saturation C | Best TPS C | Best Total TPS | Max successful C |
|---|---:|---:|---:|---:|---|---:|---:|---:|---:|
| vllm | 4 | 4 | 1024 | 128 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 1666.3225799137726 | 8 |
| vllm | 4 | 4 | 1024 | 256 | TTFT_SLO_EXCEEDED | None | 32 | 2205.2911145263356 | 32 |
| vllm | 4 | 4 | 1024 | 512 | TTFT_SLO_EXCEEDED | None | 32 | 1780.0375569607418 | 32 |
| vllm | 4 | 4 | 1024 | 1024 | BENCHMARK_FAILED | None | 32 | 1420.5249115465142 | 32 |
`Saturation C` is the first point in the final low-gain streak. `Best TPS C` is the tested point with the highest observed Total TPS.

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{
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"tokenize_prompt": false,
"random_range_ratio": 1.0,
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"max_concurrency": 256,
"multiplier": 2,
"initial_backoff_concurrencies": [
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"num_prompts_multiplier": 5,
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"warmup_max_requests": 0,
"ttft_slo_ms": 4000.0,
"enable_ttft_slo_stop": 1,
"ttft_group_skip_ms": 8000.0
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}

31
experiments/910c/dsv4_910c_vllm_tp_dp_matrix/adaptive_results/adaptive_20260729-133518/shapes.tsv Normal file
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mark input_len output_len
Y 1024 128
Y 1024 256
Y 1024 512
Y 1024 1024
Y 1024 2048
Y 1024 4096
Y 4096 128
Y 4096 256
Y 4096 512
Y 4096 1024
Y 4096 2048
Y 4096 4096
Y 8192 128
Y 8192 256
Y 8192 512
Y 8192 1024
Y 8192 2048
Y 8192 4096
Y 16384 128
Y 16384 256
Y 16384 512
Y 16384 1024
Y 16384 2048
Y 32768 128
Y 32768 256
Y 32768 512
Y 32768 1024
Y 65536 128
Y 65536 256
Y 131072 128
1 mark input_len output_len
2 Y 1024 128
3 Y 1024 256
4 Y 1024 512
5 Y 1024 1024
6 Y 1024 2048
7 Y 1024 4096
8 Y 4096 128
9 Y 4096 256
10 Y 4096 512
11 Y 4096 1024
12 Y 4096 2048
13 Y 4096 4096
14 Y 8192 128
15 Y 8192 256
16 Y 8192 512
17 Y 8192 1024
18 Y 8192 2048
19 Y 8192 4096
20 Y 16384 128
21 Y 16384 256
22 Y 16384 512
23 Y 16384 1024
24 Y 16384 2048
25 Y 32768 128
26 Y 32768 256
27 Y 32768 512
28 Y 32768 1024
29 Y 65536 128
30 Y 65536 256
31 Y 131072 128

27
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{"timestamp": "2026-07-29T15:22:57+08:00", "engine": "vllm", "tp": 4, "dp": 4, "mark": "Y", "isl": 1024, "osl": 128, "status": "TTFT_BOUNDARY", "stop_reason": "TTFT_SLO_EXCEEDED", "tested_points": 4, "search_cap": 256, "max_successful_concurrency": 64, "saturation_concurrency": null, "stop_probe_concurrency": 64, "best_tps_concurrency": 64, "best_total_tps": 7749.702734768164, "last_total_tps": 7749.702734768164}
{"timestamp": "2026-07-29T15:27:58+08:00", "engine": "vllm", "tp": 4, "dp": 4, "mark": "Y", "isl": 1024, "osl": 256, "status": "TTFT_BOUNDARY", "stop_reason": "TTFT_SLO_EXCEEDED", "tested_points": 4, "search_cap": 256, "max_successful_concurrency": 64, "saturation_concurrency": null, "stop_probe_concurrency": 64, "best_tps_concurrency": 64, "best_total_tps": 5871.533030173863, "last_total_tps": 5871.533030173863}
{"timestamp": "2026-07-29T15:39:59+08:00", "engine": "vllm", "tp": 4, "dp": 4, "mark": "Y", "isl": 1024, "osl": 512, "status": "TTFT_BOUNDARY", "stop_reason": "TTFT_SLO_EXCEEDED", "tested_points": 6, "search_cap": 256, "max_successful_concurrency": 96, "saturation_concurrency": null, "stop_probe_concurrency": 96, "best_tps_concurrency": 96, "best_total_tps": 6048.615206211598, "last_total_tps": 6048.615206211598}
{"timestamp": "2026-07-29T15:55:48+08:00", "engine": "vllm", "tp": 4, "dp": 4, "mark": "Y", "isl": 1024, "osl": 1024, "status": "TTFT_BOUNDARY", "stop_reason": "TTFT_SLO_EXCEEDED", "tested_points": 5, "search_cap": 256, "max_successful_concurrency": 80, "saturation_concurrency": null, "stop_probe_concurrency": 80, "best_tps_concurrency": 80, "best_total_tps": 4185.38932613285, "last_total_tps": 4185.38932613285}
{"timestamp": "2026-07-29T16:23:27+08:00", "engine": "vllm", "tp": 4, "dp": 4, "mark": "Y", "isl": 1024, "osl": 2048, "status": "TTFT_BOUNDARY", "stop_reason": "TTFT_SLO_EXCEEDED", "tested_points": 5, "search_cap": 256, "max_successful_concurrency": 80, "saturation_concurrency": null, "stop_probe_concurrency": 80, "best_tps_concurrency": 80, "best_total_tps": 3472.760811200361, "last_total_tps": 3472.760811200361}
{"timestamp": "2026-07-29T16:49:28+08:00", "engine": "vllm", "tp": 4, "dp": 4, "mark": "Y", "isl": 1024, "osl": 4096, "status": "FAILED", "stop_reason": "BENCHMARK_FAILED", "tested_points": 3, "search_cap": 256, "max_successful_concurrency": 32, "saturation_concurrency": null, "stop_probe_concurrency": 48, "best_tps_concurrency": 32, "best_total_tps": 1515.0784762925327, "last_total_tps": 1515.0784762925327}

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# Adaptive concurrency search summary
| Engine | TP | DP | ISL | OSL | Stop | Saturation C | Best TPS C | Best Total TPS | Max successful C |
|---|---:|---:|---:|---:|---|---:|---:|---:|---:|
| vllm | 4 | 4 | 1024 | 128 | TTFT_SLO_EXCEEDED | None | 64 | 7749.702734768164 | 64 |
| vllm | 4 | 4 | 1024 | 256 | TTFT_SLO_EXCEEDED | None | 64 | 5871.533030173863 | 64 |
| vllm | 4 | 4 | 1024 | 512 | TTFT_SLO_EXCEEDED | None | 96 | 6048.615206211598 | 96 |
| vllm | 4 | 4 | 1024 | 1024 | TTFT_SLO_EXCEEDED | None | 80 | 4185.38932613285 | 80 |
| vllm | 4 | 4 | 1024 | 2048 | TTFT_SLO_EXCEEDED | None | 80 | 3472.760811200361 | 80 |
| vllm | 4 | 4 | 1024 | 4096 | BENCHMARK_FAILED | None | 32 | 1515.0784762925327 | 32 |
`Saturation C` is the first point in the final low-gain streak. `Best TPS C` is the tested point with the highest observed Total TPS.

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{
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mark input_len output_len
Y 1024 128
Y 1024 256
Y 1024 512
Y 1024 1024
Y 1024 2048
Y 1024 4096
Y 4096 128
Y 4096 256
Y 4096 512
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1 mark input_len output_len
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10 Y 4096 512
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0
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# Adaptive concurrency search summary
| Engine | TP | DP | ISL | OSL | Stop | Saturation C | Best TPS C | Best Total TPS | Max successful C |
|---|---:|---:|---:|---:|---|---:|---:|---:|---:|
`Saturation C` is the first point in the final low-gain streak. `Best TPS C` is the tested point with the highest observed Total TPS.

27
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"enable_ttft_slo_stop": 1,
"ttft_group_skip_ms": 8000.0
}
}

31
experiments/910c/dsv4_910c_vllm_tp_dp_matrix/adaptive_results/adaptive_20260729-165133/shapes.tsv Normal file
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mark input_len output_len
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Y 1024 256
Y 1024 512
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Y 1024 4096
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Y 4096 256
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Y 4096 4096
Y 8192 128
Y 8192 256
Y 8192 512
Y 8192 1024
Y 8192 2048
Y 8192 4096
Y 16384 128
Y 16384 256
Y 16384 512
Y 16384 1024
Y 16384 2048
Y 32768 128
Y 32768 256
Y 32768 512
Y 32768 1024
Y 65536 128
Y 65536 256
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2 Y 1024 128
3 Y 1024 256
4 Y 1024 512
5 Y 1024 1024
6 Y 1024 2048
7 Y 1024 4096
8 Y 4096 128
9 Y 4096 256
10 Y 4096 512
11 Y 4096 1024
12 Y 4096 2048
13 Y 4096 4096
14 Y 8192 128
15 Y 8192 256
16 Y 8192 512
17 Y 8192 1024
18 Y 8192 2048
19 Y 8192 4096
20 Y 16384 128
21 Y 16384 256
22 Y 16384 512
23 Y 16384 1024
24 Y 16384 2048
25 Y 32768 128
26 Y 32768 256
27 Y 32768 512
28 Y 32768 1024
29 Y 65536 128
30 Y 65536 256
31 Y 131072 128

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{"timestamp": "2026-07-30T23:14:53+08:00", "engine": "vllm", "tp": 8, "dp": 2, "mark": "Y", "isl": 16384, "osl": 128, "status": "TTFT_BOUNDARY", "stop_reason": "TTFT_SLO_BACKOFF_FOUND", "tested_points": 3, "search_cap": 256, "max_successful_concurrency": 1, "saturation_concurrency": null, "stop_probe_concurrency": 1, "best_tps_concurrency": 16, "best_total_tps": 16498.815647934804, "last_total_tps": 3079.7152154608357}
{"timestamp": "2026-07-30T23:20:01+08:00", "engine": "vllm", "tp": 8, "dp": 2, "mark": "Y", "isl": 16384, "osl": 256, "status": "TTFT_BOUNDARY", "stop_reason": "TTFT_SLO_BACKOFF_FOUND", "tested_points": 3, "search_cap": 256, "max_successful_concurrency": 1, "saturation_concurrency": null, "stop_probe_concurrency": 1, "best_tps_concurrency": 16, "best_total_tps": 11645.01980711496, "last_total_tps": 1746.7046280016066}
{"timestamp": "2026-07-30T23:27:20+08:00", "engine": "vllm", "tp": 8, "dp": 2, "mark": "Y", "isl": 16384, "osl": 512, "status": "TTFT_BOUNDARY", "stop_reason": "TTFT_SLO_BACKOFF_FOUND", "tested_points": 3, "search_cap": 256, "max_successful_concurrency": 1, "saturation_concurrency": null, "stop_probe_concurrency": 1, "best_tps_concurrency": 16, "best_total_tps": 8515.80201677182, "last_total_tps": 948.2930596737821}
{"timestamp": "2026-07-30T23:38:52+08:00", "engine": "vllm", "tp": 8, "dp": 2, "mark": "Y", "isl": 16384, "osl": 1024, "status": "TTFT_BOUNDARY", "stop_reason": "TTFT_SLO_BACKOFF_FOUND", "tested_points": 3, "search_cap": 256, "max_successful_concurrency": 1, "saturation_concurrency": null, "stop_probe_concurrency": 1, "best_tps_concurrency": 16, "best_total_tps": 5638.418941896249, "last_total_tps": 506.2508477735499}
{"timestamp": "2026-07-30T23:59:02+08:00", "engine": "vllm", "tp": 8, "dp": 2, "mark": "Y", "isl": 16384, "osl": 2048, "status": "TTFT_BOUNDARY", "stop_reason": "TTFT_SLO_BACKOFF_FOUND", "tested_points": 3, "search_cap": 256, "max_successful_concurrency": 1, "saturation_concurrency": null, "stop_probe_concurrency": 1, "best_tps_concurrency": 16, "best_total_tps": 3427.905847584677, "last_total_tps": 272.77116738934836}
{"timestamp": "2026-07-31T00:03:47+08:00", "engine": "vllm", "tp": 8, "dp": 2, "mark": "Y", "isl": 32768, "osl": 128, "status": "TTFT_BOUNDARY", "stop_reason": "TTFT_SLO_BACKOFF_FOUND", "tested_points": 3, "search_cap": 256, "max_successful_concurrency": 1, "saturation_concurrency": null, "stop_probe_concurrency": 1, "best_tps_concurrency": 16, "best_total_tps": 23475.14436224353, "last_total_tps": 5146.661618466144}
{"timestamp": "2026-07-31T00:09:42+08:00", "engine": "vllm", "tp": 8, "dp": 2, "mark": "Y", "isl": 32768, "osl": 256, "status": "TTFT_BOUNDARY", "stop_reason": "TTFT_SLO_BACKOFF_FOUND", "tested_points": 3, "search_cap": 256, "max_successful_concurrency": 1, "saturation_concurrency": null, "stop_probe_concurrency": 1, "best_tps_concurrency": 16, "best_total_tps": 19203.8714041812, "last_total_tps": 3386.4290905087973}
{"timestamp": "2026-07-31T00:17:30+08:00", "engine": "vllm", "tp": 8, "dp": 2, "mark": "Y", "isl": 32768, "osl": 512, "status": "TTFT_BOUNDARY", "stop_reason": "TTFT_SLO_BACKOFF_FOUND", "tested_points": 3, "search_cap": 256, "max_successful_concurrency": 1, "saturation_concurrency": null, "stop_probe_concurrency": 1, "best_tps_concurrency": 16, "best_total_tps": 15137.40490280004, "last_total_tps": 1848.7072131442271}
{"timestamp": "2026-07-31T00:29:42+08:00", "engine": "vllm", "tp": 8, "dp": 2, "mark": "Y", "isl": 32768, "osl": 1024, "status": "TTFT_BOUNDARY", "stop_reason": "TTFT_SLO_BACKOFF_FOUND", "tested_points": 3, "search_cap": 256, "max_successful_concurrency": 1, "saturation_concurrency": null, "stop_probe_concurrency": 1, "best_tps_concurrency": 16, "best_total_tps": 9999.273191075035, "last_total_tps": 970.9469350407529}
{"timestamp": "2026-07-31T00:37:13+08:00", "engine": "vllm", "tp": 8, "dp": 2, "mark": "Y", "isl": 65536, "osl": 128, "status": "TTFT_BOUNDARY", "stop_reason": "TTFT_SLO_EXCEEDED", "tested_points": 3, "search_cap": 256, "max_successful_concurrency": 1, "saturation_concurrency": null, "stop_probe_concurrency": 1, "best_tps_concurrency": 16, "best_total_tps": 24836.330293917646, "last_total_tps": 8069.198796485609}
{"timestamp": "2026-07-31T00:46:12+08:00", "engine": "vllm", "tp": 8, "dp": 2, "mark": "Y", "isl": 65536, "osl": 256, "status": "TTFT_BOUNDARY", "stop_reason": "TTFT_SLO_EXCEEDED", "tested_points": 3, "search_cap": 256, "max_successful_concurrency": 1, "saturation_concurrency": null, "stop_probe_concurrency": 1, "best_tps_concurrency": 8, "best_total_tps": 20208.899671114275, "last_total_tps": 5330.932417244665}
{"timestamp": "2026-07-31T01:06:06+08:00", "engine": "vllm", "tp": 8, "dp": 2, "mark": "Y", "isl": 131072, "osl": 128, "status": "TTFT_BOUNDARY", "stop_reason": "TTFT_GROUP_SKIP_THRESHOLD", "tested_points": 3, "search_cap": 256, "max_successful_concurrency": 1, "saturation_concurrency": null, "stop_probe_concurrency": 1, "best_tps_concurrency": 16, "best_total_tps": 16620.077708256023, "last_total_tps": 10608.180190107765}

66
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# Adaptive concurrency search summary
| Engine | TP | DP | ISL | OSL | Stop | Saturation C | Best TPS C | Best Total TPS | Max successful C |
|---|---:|---:|---:|---:|---|---:|---:|---:|---:|
| vllm | 4 | 4 | 1024 | 128 | TTFT_SLO_EXCEEDED | None | 32 | 4428.825448028376 | 32 |
| vllm | 4 | 4 | 1024 | 256 | TTFT_SLO_EXCEEDED | None | 96 | 7798.380163415022 | 96 |
| vllm | 4 | 4 | 1024 | 512 | TTFT_SLO_EXCEEDED | None | 64 | 4012.695269480321 | 64 |
| vllm | 4 | 4 | 1024 | 1024 | TTFT_SLO_EXCEEDED | None | 80 | 3420.4486702307668 | 80 |
| vllm | 4 | 4 | 1024 | 2048 | TTFT_SLO_EXCEEDED | None | 64 | 2228.661174639404 | 64 |
| vllm | 4 | 4 | 1024 | 4096 | TTFT_SLO_EXCEEDED | None | 96 | 2612.853616310297 | 96 |
| vllm | 4 | 4 | 4096 | 128 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 8230.869367708057 | 8 |
| vllm | 4 | 4 | 4096 | 256 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 5464.029293966645 | 8 |
| vllm | 4 | 4 | 4096 | 512 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 3418.7013839472093 | 8 |
| vllm | 4 | 4 | 4096 | 1024 | TTFT_SLO_EXCEEDED | None | 32 | 3843.2446531144865 | 32 |
| vllm | 4 | 4 | 4096 | 2048 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 1309.8437554295233 | 8 |
| vllm | 4 | 4 | 4096 | 4096 | TTFT_SLO_EXCEEDED | None | 32 | 1624.484844419848 | 32 |
| vllm | 4 | 4 | 8192 | 128 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 11794.190773496694 | 8 |
| vllm | 4 | 4 | 8192 | 256 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 8896.590124911605 | 8 |
| vllm | 4 | 4 | 8192 | 512 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 6191.530958021973 | 8 |
| vllm | 4 | 4 | 8192 | 1024 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 3769.8480085506353 | 8 |
| vllm | 4 | 4 | 8192 | 2048 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 2178.717892678487 | 8 |
| vllm | 4 | 4 | 8192 | 4096 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 1367.7773433156713 | 8 |
| vllm | 4 | 4 | 16384 | 128 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 16818.124866879156 | 1 |
| vllm | 4 | 4 | 16384 | 256 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 11771.791270578813 | 1 |
| vllm | 4 | 4 | 16384 | 512 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 8846.690166322864 | 1 |
| vllm | 4 | 4 | 16384 | 1024 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 5921.078566153044 | 1 |
| vllm | 4 | 4 | 16384 | 2048 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 3774.138452225441 | 1 |
| vllm | 4 | 4 | 32768 | 128 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 26622.925600268853 | 1 |
| vllm | 4 | 4 | 32768 | 256 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 25061.956683529683 | 1 |
| vllm | 4 | 4 | 32768 | 512 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 15943.11971550107 | 1 |
| vllm | 4 | 4 | 32768 | 1024 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 10189.925332814668 | 1 |
| vllm | 4 | 4 | 65536 | 128 | TTFT_SLO_EXCEEDED | None | 8 | 29434.110750535314 | 1 |
| vllm | 4 | 4 | 65536 | 256 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 27792.98952350034 | 1 |
| vllm | 4 | 4 | 131072 | 128 | TTFT_GROUP_SKIP_THRESHOLD | None | 8 | 26129.221079326835 | 1 |
| vllm | 8 | 2 | 1024 | 128 | TTFT_SLO_EXCEEDED | None | 112 | 10223.407113283418 | 112 |
| vllm | 8 | 2 | 1024 | 256 | TTFT_SLO_EXCEEDED | None | 112 | 8192.61079050355 | 128 |
| vllm | 8 | 2 | 1024 | 512 | TTFT_SLO_EXCEEDED | None | 112 | 5585.889406941371 | 128 |
| vllm | 8 | 2 | 1024 | 1024 | TTFT_SLO_EXCEEDED | None | 96 | 3648.898620712223 | 112 |
| vllm | 8 | 2 | 1024 | 2048 | TTFT_SLO_EXCEEDED | None | 112 | 3169.95311646314 | 128 |
| vllm | 8 | 2 | 1024 | 4096 | TTFT_SLO_EXCEEDED | None | 112 | 2712.8862453231272 | 112 |
| vllm | 8 | 2 | 4096 | 128 | TTFT_SLO_EXCEEDED | None | 32 | 11862.786970287489 | 32 |
| vllm | 8 | 2 | 4096 | 256 | TTFT_SLO_EXCEEDED | None | 32 | 8606.740217479904 | 32 |
| vllm | 8 | 2 | 4096 | 512 | TTFT_SLO_EXCEEDED | None | 32 | 5504.745130844832 | 32 |
| vllm | 8 | 2 | 4096 | 1024 | TTFT_SLO_EXCEEDED | None | 32 | 3556.6038169851627 | 32 |
| vllm | 8 | 2 | 4096 | 2048 | TTFT_SLO_EXCEEDED | None | 32 | 2277.5847664342523 | 32 |
| vllm | 8 | 2 | 4096 | 4096 | TTFT_SLO_EXCEEDED | None | 32 | 1573.8192958480295 | 32 |
| vllm | 8 | 2 | 8192 | 128 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 12074.713648363691 | 1 |
| vllm | 8 | 2 | 8192 | 256 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 8472.548874647768 | 1 |
| vllm | 8 | 2 | 8192 | 512 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 5478.391877343391 | 8 |
| vllm | 8 | 2 | 8192 | 1024 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 3477.5109935245814 | 8 |
| vllm | 8 | 2 | 8192 | 2048 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 2055.463483384805 | 1 |
| vllm | 8 | 2 | 8192 | 4096 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 1277.469398657969 | 8 |
| vllm | 8 | 2 | 16384 | 128 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 16498.815647934804 | 1 |
| vllm | 8 | 2 | 16384 | 256 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 11645.01980711496 | 1 |
| vllm | 8 | 2 | 16384 | 512 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 8515.80201677182 | 1 |
| vllm | 8 | 2 | 16384 | 1024 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 5638.418941896249 | 1 |
| vllm | 8 | 2 | 16384 | 2048 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 3427.905847584677 | 1 |
| vllm | 8 | 2 | 32768 | 128 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 23475.14436224353 | 1 |
| vllm | 8 | 2 | 32768 | 256 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 19203.8714041812 | 1 |
| vllm | 8 | 2 | 32768 | 512 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 15137.40490280004 | 1 |
| vllm | 8 | 2 | 32768 | 1024 | TTFT_SLO_BACKOFF_FOUND | None | 16 | 9999.273191075035 | 1 |
| vllm | 8 | 2 | 65536 | 128 | TTFT_SLO_EXCEEDED | None | 16 | 24836.330293917646 | 1 |
| vllm | 8 | 2 | 65536 | 256 | TTFT_SLO_EXCEEDED | None | 8 | 20208.899671114275 | 1 |
| vllm | 8 | 2 | 131072 | 128 | TTFT_GROUP_SKIP_THRESHOLD | None | 16 | 16620.077708256023 | 1 |
`Saturation C` is the first point in the final low-gain streak. `Best TPS C` is the tested point with the highest observed Total TPS.

27
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{
"experiment": "dsv4_910c_vllm_tp_dp_matrix",
"engine": "vllm",
"run_id": "adaptive_20260730-103812",
"model": "/mnt/models/DeepSeek-V4-Flash-w8a8-mtp",
"hardware": "8x Ascend910 (16 dies, 64GB HBM/die)",
"matrix": "/mnt/yy/sskj/experiments/910c/dsv4_910c_vllm_tp_dp_matrix/matrix.json",
"dataset": "random",
"tokenize_prompt": false,
"random_range_ratio": 1.0,
"search": {
"start_concurrency": 16,
"max_concurrency": 256,
"multiplier": 2,
"initial_backoff_concurrencies": [
8,
1
],
"num_prompts_multiplier": 5,
"min_tps_gain_pct": 2.0,
"plateau_patience": 2,
"warmup_max_requests": 0,
"ttft_slo_ms": 4000.0,
"enable_ttft_slo_stop": 1,
"ttft_group_skip_ms": 8000.0
}
}

31
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mark input_len output_len
Y 1024 128
Y 1024 256
Y 1024 512
Y 1024 1024
Y 1024 2048
Y 1024 4096
Y 4096 128
Y 4096 256
Y 4096 512
Y 4096 1024
Y 4096 2048
Y 4096 4096
Y 8192 128
Y 8192 256
Y 8192 512
Y 8192 1024
Y 8192 2048
Y 8192 4096
Y 16384 128
Y 16384 256
Y 16384 512
Y 16384 1024
Y 16384 2048
Y 32768 128
Y 32768 256
Y 32768 512
Y 32768 1024
Y 65536 128
Y 65536 256
Y 131072 128
1 mark input_len output_len
2 Y 1024 128
3 Y 1024 256
4 Y 1024 512
5 Y 1024 1024
6 Y 1024 2048
7 Y 1024 4096
8 Y 4096 128
9 Y 4096 256
10 Y 4096 512
11 Y 4096 1024
12 Y 4096 2048
13 Y 4096 4096
14 Y 8192 128
15 Y 8192 256
16 Y 8192 512
17 Y 8192 1024
18 Y 8192 2048
19 Y 8192 4096
20 Y 16384 128
21 Y 16384 256
22 Y 16384 512
23 Y 16384 1024
24 Y 16384 2048
25 Y 32768 128
26 Y 32768 256
27 Y 32768 512
28 Y 32768 1024
29 Y 65536 128
30 Y 65536 256
31 Y 131072 128

0
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0
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# Adaptive concurrency search summary
| Engine | TP | DP | ISL | OSL | Stop | Saturation C | Best TPS C | Best Total TPS | Max successful C |
|---|---:|---:|---:|---:|---|---:|---:|---:|---:|
`Saturation C` is the first point in the final low-gain streak. `Best TPS C` is the tested point with the highest observed Total TPS.

27
experiments/910c/dsv4_910c_vllm_tp_dp_matrix/adaptive_results/adaptive_20260731-082113/run_manifest.json Normal file
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{
"experiment": "dsv4_910c_vllm_tp_dp_matrix",
"engine": "vllm",
"run_id": "adaptive_20260731-082113",
"model": "/mnt/models/DeepSeek-V4-Flash-w8a8-mtp",
"hardware": "8x Ascend910 (16 dies, 64GB HBM/die)",
"matrix": "/mnt/yy/sskj/experiments/910c/dsv4_910c_vllm_tp_dp_matrix/matrix.json",
"dataset": "random",
"tokenize_prompt": false,
"random_range_ratio": 1.0,
"search": {
"start_concurrency": 16,
"max_concurrency": 256,
"multiplier": 2,
"initial_backoff_concurrencies": [
8,
1
],
"num_prompts_multiplier": 5,
"min_tps_gain_pct": 2.0,
"plateau_patience": 2,
"warmup_max_requests": 0,
"ttft_slo_ms": 4000.0,
"enable_ttft_slo_stop": 1,
"ttft_group_skip_ms": 8000.0
}
}

31
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mark input_len output_len
Y 1024 128
Y 1024 256
Y 1024 512
Y 1024 1024
Y 1024 2048
Y 1024 4096
Y 4096 128
Y 4096 256
Y 4096 512
Y 4096 1024
Y 4096 2048
Y 4096 4096
Y 8192 128
Y 8192 256
Y 8192 512
Y 8192 1024
Y 8192 2048
Y 8192 4096
Y 16384 128
Y 16384 256
Y 16384 512
Y 16384 1024
Y 16384 2048
Y 32768 128
Y 32768 256
Y 32768 512
Y 32768 1024
Y 65536 128
Y 65536 256
Y 131072 128
1 mark input_len output_len
2 Y 1024 128
3 Y 1024 256
4 Y 1024 512
5 Y 1024 1024
6 Y 1024 2048
7 Y 1024 4096
8 Y 4096 128
9 Y 4096 256
10 Y 4096 512
11 Y 4096 1024
12 Y 4096 2048
13 Y 4096 4096
14 Y 8192 128
15 Y 8192 256
16 Y 8192 512
17 Y 8192 1024
18 Y 8192 2048
19 Y 8192 4096
20 Y 16384 128
21 Y 16384 256
22 Y 16384 512
23 Y 16384 1024
24 Y 16384 2048
25 Y 32768 128
26 Y 32768 256
27 Y 32768 512
28 Y 32768 1024
29 Y 65536 128
30 Y 65536 256
31 Y 131072 128

0
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# Adaptive concurrency search summary
| Engine | TP | DP | ISL | OSL | Stop | Saturation C | Best TPS C | Best Total TPS | Max successful C |
|---|---:|---:|---:|---:|---|---:|---:|---:|---:|
`Saturation C` is the first point in the final low-gain streak. `Best TPS C` is the tested point with the highest observed Total TPS.

27
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{
"experiment": "dsv4_910c_vllm_tp_dp_matrix",
"engine": "vllm",
"run_id": "adaptive_20260731-083406",
"model": "/mnt/models/DeepSeek-V4-Flash-w8a8-mtp",
"hardware": "8x Ascend910 (16 dies, 64GB HBM/die)",
"matrix": "/mnt/yy/sskj/experiments/910c/dsv4_910c_vllm_tp_dp_matrix/matrix.json",
"dataset": "random",
"tokenize_prompt": false,
"random_range_ratio": 1.0,
"search": {
"start_concurrency": 16,
"max_concurrency": 256,
"multiplier": 2,
"initial_backoff_concurrencies": [
8,
1
],
"num_prompts_multiplier": 5,
"min_tps_gain_pct": 2.0,
"plateau_patience": 2,
"warmup_max_requests": 0,
"ttft_slo_ms": 4000.0,
"enable_ttft_slo_stop": 1,
"ttft_group_skip_ms": 8000.0
}
}

31
experiments/910c/dsv4_910c_vllm_tp_dp_matrix/adaptive_results/adaptive_20260731-083406/shapes.tsv Normal file
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mark input_len output_len
Y 1024 128
Y 1024 256
Y 1024 512
Y 1024 1024
Y 1024 2048
Y 1024 4096
Y 4096 128
Y 4096 256
Y 4096 512
Y 4096 1024
Y 4096 2048
Y 4096 4096
Y 8192 128
Y 8192 256
Y 8192 512
Y 8192 1024
Y 8192 2048
Y 8192 4096
Y 16384 128
Y 16384 256
Y 16384 512
Y 16384 1024
Y 16384 2048
Y 32768 128
Y 32768 256
Y 32768 512
Y 32768 1024
Y 65536 128
Y 65536 256
Y 131072 128
1 mark input_len output_len
2 Y 1024 128
3 Y 1024 256
4 Y 1024 512
5 Y 1024 1024
6 Y 1024 2048
7 Y 1024 4096
8 Y 4096 128
9 Y 4096 256
10 Y 4096 512
11 Y 4096 1024
12 Y 4096 2048
13 Y 4096 4096
14 Y 8192 128
15 Y 8192 256
16 Y 8192 512
17 Y 8192 1024
18 Y 8192 2048
19 Y 8192 4096
20 Y 16384 128
21 Y 16384 256
22 Y 16384 512
23 Y 16384 1024
24 Y 16384 2048
25 Y 32768 128
26 Y 32768 256
27 Y 32768 512
28 Y 32768 1024
29 Y 65536 128
30 Y 65536 256
31 Y 131072 128

0
experiments/910c/dsv4_910c_vllm_tp_dp_matrix/adaptive_results/adaptive_20260731-083955/adaptive_points.jsonl Normal file
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0
experiments/910c/dsv4_910c_vllm_tp_dp_matrix/adaptive_results/adaptive_20260731-083955/adaptive_shapes.jsonl Normal file
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0
experiments/910c/dsv4_910c_vllm_tp_dp_matrix/adaptive_results/adaptive_20260731-083955/adaptive_summary.jsonl Normal file
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6
experiments/910c/dsv4_910c_vllm_tp_dp_matrix/adaptive_results/adaptive_20260731-083955/adaptive_summary.md Normal file
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@ -0,0 +1,6 @@
# Adaptive concurrency search summary
| Engine | TP | DP | ISL | OSL | Stop | Saturation C | Best TPS C | Best Total TPS | Max successful C |
|---|---:|---:|---:|---:|---|---:|---:|---:|---:|
`Saturation C` is the first point in the final low-gain streak. `Best TPS C` is the tested point with the highest observed Total TPS.

27
experiments/910c/dsv4_910c_vllm_tp_dp_matrix/adaptive_results/adaptive_20260731-083955/run_manifest.json Normal file
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@ -0,0 +1,27 @@
{
"experiment": "dsv4_910c_vllm_tp_dp_matrix",
"engine": "vllm",
"run_id": "adaptive_20260731-083955",
"model": "/mnt/models/DeepSeek-V4-Flash-w8a8-mtp",
"hardware": "8x Ascend910 (16 dies, 64GB HBM/die)",
"matrix": "/mnt/yy/sskj/experiments/910c/dsv4_910c_vllm_tp_dp_matrix/matrix.json",
"dataset": "random",
"tokenize_prompt": false,
"random_range_ratio": 1.0,
"search": {
"start_concurrency": 16,
"max_concurrency": 256,
"multiplier": 2,
"initial_backoff_concurrencies": [
8,
1
],
"num_prompts_multiplier": 5,
"min_tps_gain_pct": 2.0,
"plateau_patience": 2,
"warmup_max_requests": 0,
"ttft_slo_ms": 4000.0,
"enable_ttft_slo_stop": 1,
"ttft_group_skip_ms": 8000.0
}
}

31
experiments/910c/dsv4_910c_vllm_tp_dp_matrix/adaptive_results/adaptive_20260731-083955/shapes.tsv Normal file
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@ -0,0 +1,31 @@
mark input_len output_len
Y 1024 128
Y 1024 256
Y 1024 512
Y 1024 1024
Y 1024 2048
Y 1024 4096
Y 4096 128
Y 4096 256
Y 4096 512
Y 4096 1024
Y 4096 2048
Y 4096 4096
Y 8192 128
Y 8192 256
Y 8192 512
Y 8192 1024
Y 8192 2048
Y 8192 4096
Y 16384 128
Y 16384 256
Y 16384 512
Y 16384 1024
Y 16384 2048
Y 32768 128
Y 32768 256
Y 32768 512
Y 32768 1024
Y 65536 128
Y 65536 256
Y 131072 128
1 mark input_len output_len
2 Y 1024 128
3 Y 1024 256
4 Y 1024 512
5 Y 1024 1024
6 Y 1024 2048
7 Y 1024 4096
8 Y 4096 128
9 Y 4096 256
10 Y 4096 512
11 Y 4096 1024
12 Y 4096 2048
13 Y 4096 4096
14 Y 8192 128
15 Y 8192 256
16 Y 8192 512
17 Y 8192 1024
18 Y 8192 2048
19 Y 8192 4096
20 Y 16384 128
21 Y 16384 256
22 Y 16384 512
23 Y 16384 1024
24 Y 16384 2048
25 Y 32768 128
26 Y 32768 256
27 Y 32768 512
28 Y 32768 1024
29 Y 65536 128
30 Y 65536 256
31 Y 131072 128

0
experiments/910c/dsv4_910c_vllm_tp_dp_matrix/adaptive_results/adaptive_20260731-084113/adaptive_points.jsonl Normal file
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0
experiments/910c/dsv4_910c_vllm_tp_dp_matrix/adaptive_results/adaptive_20260731-084113/adaptive_shapes.jsonl Normal file
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0
experiments/910c/dsv4_910c_vllm_tp_dp_matrix/adaptive_results/adaptive_20260731-084113/adaptive_summary.jsonl Normal file
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6
experiments/910c/dsv4_910c_vllm_tp_dp_matrix/adaptive_results/adaptive_20260731-084113/adaptive_summary.md Normal file
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@ -0,0 +1,6 @@
# Adaptive concurrency search summary
| Engine | TP | DP | ISL | OSL | Stop | Saturation C | Best TPS C | Best Total TPS | Max successful C |
|---|---:|---:|---:|---:|---|---:|---:|---:|---:|
`Saturation C` is the first point in the final low-gain streak. `Best TPS C` is the tested point with the highest observed Total TPS.

27
experiments/910c/dsv4_910c_vllm_tp_dp_matrix/adaptive_results/adaptive_20260731-084113/run_manifest.json Normal file
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@ -0,0 +1,27 @@
{
"experiment": "dsv4_910c_vllm_tp_dp_matrix",
"engine": "vllm",
"run_id": "adaptive_20260731-084113",
"model": "/mnt/models/DeepSeek-V4-Flash-w8a8-mtp",
"hardware": "8x Ascend910 (16 dies, 64GB HBM/die)",
"matrix": "/mnt/yy/sskj/experiments/910c/dsv4_910c_vllm_tp_dp_matrix/matrix.json",
"dataset": "random",
"tokenize_prompt": false,
"random_range_ratio": 1.0,
"search": {
"start_concurrency": 16,
"max_concurrency": 256,
"multiplier": 2,
"initial_backoff_concurrencies": [
8,
1
],
"num_prompts_multiplier": 5,
"min_tps_gain_pct": 2.0,
"plateau_patience": 2,
"warmup_max_requests": 0,
"ttft_slo_ms": 4000.0,
"enable_ttft_slo_stop": 1,
"ttft_group_skip_ms": 8000.0
}
}

31
experiments/910c/dsv4_910c_vllm_tp_dp_matrix/adaptive_results/adaptive_20260731-084113/shapes.tsv Normal file
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@ -0,0 +1,31 @@
mark input_len output_len
Y 1024 128
Y 1024 256
Y 1024 512
Y 1024 1024
Y 1024 2048
Y 1024 4096
Y 4096 128
Y 4096 256
Y 4096 512
Y 4096 1024
Y 4096 2048
Y 4096 4096
Y 8192 128
Y 8192 256
Y 8192 512
Y 8192 1024
Y 8192 2048
Y 8192 4096
Y 16384 128
Y 16384 256
Y 16384 512
Y 16384 1024
Y 16384 2048
Y 32768 128
Y 32768 256
Y 32768 512
Y 32768 1024
Y 65536 128
Y 65536 256
Y 131072 128
1 mark input_len output_len
2 Y 1024 128
3 Y 1024 256
4 Y 1024 512
5 Y 1024 1024
6 Y 1024 2048
7 Y 1024 4096
8 Y 4096 128
9 Y 4096 256
10 Y 4096 512
11 Y 4096 1024
12 Y 4096 2048
13 Y 4096 4096
14 Y 8192 128
15 Y 8192 256
16 Y 8192 512
17 Y 8192 1024
18 Y 8192 2048
19 Y 8192 4096
20 Y 16384 128
21 Y 16384 256
22 Y 16384 512
23 Y 16384 1024
24 Y 16384 2048
25 Y 32768 128
26 Y 32768 256
27 Y 32768 512
28 Y 32768 1024
29 Y 65536 128
30 Y 65536 256
31 Y 131072 128

124
experiments/910c/dsv4_910c_vllm_tp_dp_matrix/launch_vllm.py Executable file
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@ -0,0 +1,124 @@
#!/usr/bin/env python3
"""Drop-in replacement for the docker launch part of start_vllm_docker.sh.
Called from bash with: python3 /this_script.py <TP> <DP>
Reads config from environment variables set by the bash script.
"""
import subprocess, sys, os
tp = sys.argv[1]
dp = sys.argv[2]
# These come from the bash script environment
model_path = os.environ.get("MODEL_PATH", "/mnt/models/DeepSeek-V4-Flash-w8a8-mtp")
served = os.environ.get("SERVED_MODEL_NAME", "dsv4")
port = os.environ.get("VLLM_PORT", "30052")
name = os.environ.get("CONTAINER_NAME", "vllm-ascend-dsv4-910c") + f"_tp{tp}_dp{dp}"
image = os.environ.get("DOCKER_IMAGE", "local/vllm-ascend:0.23-a3-dsv4-sglang")
log = os.environ.get("LAUNCH_LOG", "/tmp/vllm_launch.log")
runtime_tmp = os.environ.get("RUNTIME_TMP", "/tmp")
pid_file = os.environ.get("PID_FILE", f"/tmp/vllm_tp{tp}_dp{dp}.pid")
mem_util = os.environ.get("GPU_MEMORY_UTILIZATION", "0.9")
max_len = os.environ.get("MAX_MODEL_LEN", "1048576")
max_seqs = os.environ.get("MAX_NUM_SEQS", "64")
max_tokens = os.environ.get("MAX_NUM_BATCHED_TOKENS", "10240")
api_count = os.environ.get("API_SERVER_COUNT", "1")
ascend_devices = os.environ.get("ASCEND_VISIBLE_DEVICES", "0,1,2,3,4,5,6,7")
# Build docker run command
docker_cmd = [
"docker", "run", "-d",
"--name", name,
"--privileged", "--ipc", "host", "--shm-size", "512g",
"--network", "host", "--ulimit", "memlock=-1",
# 16 dies
"--device", "/dev/davinci0", "--device", "/dev/davinci1",
"--device", "/dev/davinci2", "--device", "/dev/davinci3",
"--device", "/dev/davinci4", "--device", "/dev/davinci5",
"--device", "/dev/davinci6", "--device", "/dev/davinci7",
"--device", "/dev/davinci8", "--device", "/dev/davinci9",
"--device", "/dev/davinci10", "--device", "/dev/davinci11",
"--device", "/dev/davinci12", "--device", "/dev/davinci13",
"--device", "/dev/davinci14", "--device", "/dev/davinci15",
"--device", "/dev/davinci_manager", "--device", "/dev/devmm_svm",
"--device", "/dev/hisi_hdc",
# Driver mounts
"-v", "/usr/local/dcmi:/usr/local/dcmi",
"-v", "/usr/local/Ascend/driver/tools/hccn_tool:/usr/local/Ascend/driver/tools/hccn_tool",
"-v", "/usr/local/bin/npu-smi:/usr/local/bin/npu-smi",
"-v", "/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64",
"-v", "/usr/local/Ascend/driver/version.info:/usr/local/Ascend/driver/version.info",
"-v", "/etc/ascend_install.info:/etc/ascend_install.info",
"-v", "/etc/hccn.conf:/etc/hccn.conf",
# Model + data mounts
"-v", f"{model_path}:{model_path}:ro",
"-v", f"{runtime_tmp}:/tmp",
"-v", "/mnt:/mnt",
# Env vars
"-e", f"ASCEND_VISIBLE_DEVICES={ascend_devices}",
"-e", "PYTORCH_NPU_ALLOC_CONF=expandable_segments:True",
"-e", "PYTHONUNBUFFERED=1",
"-e", "HF_HUB_OFFLINE=1",
"-e", "TRANSFORMERS_OFFLINE=1",
"-e", "OMP_PROC_BIND=false",
"-e", "OMP_NUM_THREADS=10",
"-e", "HCCL_BUFFSIZE=1024",
"-e", "VLLM_ASCEND_ENABLE_FLASHCOMM1=1",
"-e", "TASK_QUEUE_ENABLE=1",
"-e", "HCCL_OP_EXPANSION_MODE=AIV",
"-e", "LD_PRELOAD=/usr/lib64/libjemalloc.so.2",
# Image + command
image, "sleep", "infinity"
]
print(f"=== Starting container {name} ===", flush=True)
result = subprocess.run(docker_cmd, capture_output=True, text=True)
if result.returncode != 0:
print(result.stderr.strip(), flush=True)
sys.exit(1)
print(f"Container started: {result.stdout.strip()}", flush=True)
# Now build vllm serve command (no shell - direct subprocess list)
vllm_cmd = [
"python3", "/serve.py",
model_path,
"--served-model-name", served,
"--block-size", "128",
"--tensor-parallel-size", tp,
"--gpu-memory-utilization", mem_util,
"--max-model-len", max_len,
"--max-num-seqs", max_seqs,
"--max-num-batched-tokens", max_tokens,
"--api-server-count", api_count,
"--host", "0.0.0.0",
"--port", port,
]
if int(dp) > 1:
vllm_cmd += ["--data-parallel-size", dp]
vllm_cmd += [
"--tokenizer-mode", "deepseek_v4",
"--tool-call-parser", "deepseek_v4",
"--enable-auto-tool-choice",
"--reasoning-parser", "deepseek_v4",
"--quantization", "ascend",
"--safetensors-load-strategy", "prefetch",
"--enable-expert-parallel",
"--async-scheduling",
"--model-loader-extra-config", '{"enable_multithread_load": "true", "num_threads": 128}',
"--compilation-config", '{"cudagraph_mode": "FULL_DECODE_ONLY"}',
"--additional-config", '{"ascend_compilation_config":{"enable_npugraph_ex":true,"enable_static_kernel":false},"enable_cpu_binding": true,"multistream_overlap_shared_expert":true}',
]
print(f"=== Launching vllm serve (log={log}) ===", flush=True)
with open(log, "w") as lf:
lf.write(f"CMD: vllm serve " + " ".join(vllm_cmd[2:]) + "\n")
lf.flush()
p = subprocess.Popen(
["docker", "exec", name] + vllm_cmd,
stdout=lf, stderr=lf
)
# Write PID file
with open(pid_file, "w") as pf:
pf.write(str(p.pid))
print(f"PID: {p.pid}", flush=True)

37
experiments/910c/dsv4_910c_vllm_tp_dp_matrix/run_adaptive_concurrency.sh
View File

@ -15,6 +15,10 @@ source "${SCRIPT_DIR}/config.env"
source "${SCRIPT_DIR}/adaptive_config.env"
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/../../../scripts/common/adaptive_bench_lib.sh"
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/../../../scripts/common/deploy_cli.sh"
DEPLOY_PROFILE="${DEPLOY_PROFILE:-910c/dsv4_910c_vllm_tp_dp_matrix}"
ENGINE="vllm"
ENGINE_PORT="$VLLM_PORT"
@ -38,20 +42,9 @@ engine_is_healthy() {
engine_stop_server() {
local tp="$1"
local dp="$2"
local pid_file="${RUNTIME_BASE}/${EXPERIMENT}_vllm_tp${tp}_dp${dp}.pid"
if [[ -f "$pid_file" ]]; then
local pid
pid="$(cat "$pid_file")"
if kill -0 "$pid" 2>/dev/null; then
log "stopping vllm server pid=${pid} tp=${tp} dp=${dp}"
kill "$pid" 2>/dev/null || true
sleep 5
kill -9 "$pid" 2>/dev/null || true
fi
rm -f "$pid_file"
fi
docker rm -f "${EXPERIMENT}_vllm_tp${tp}_dp${dp}" >/dev/null 2>&1 || true
log "stopping vllm server tp=${tp} dp=${dp} via deploy profile"
bash "${SCRIPT_DIR}/stop_vllm_docker.sh" "$tp" "$dp" >> "${ADAPTIVE_LOG_DIR}/vllm_tp${tp}_dp${dp}.server.outer.log" 2>&1 || true
ACTIVE_ENGINE_SERVER_LOG=""
sleep 2
}
@ -59,23 +52,7 @@ engine_stop_server() {
engine_build_server_args() {
local tp="$1"
local dp="$2"
local -a args=(
vllm serve "$MODEL_PATH"
--trust-remote-code
--kv-cache-dtype "$KV_CACHE_DTYPE"
--block-size "$BLOCK_SIZE"
--tensor-parallel-size "$tp"
--gpu-memory-utilization "$GPU_MEMORY_UTILIZATION"
--max-model-len "$MAX_MODEL_LEN"
--max-num-seqs "$MAX_NUM_SEQS"
--no-enable-flashinfer-autotune
--host 0.0.0.0
--port "$ENGINE_PORT"
)
if (( dp > 1 )); then
args+=(--data-parallel-size "$dp")
fi
printf '%q ' "${args[@]}"
deploy_render_args "$DEPLOY_PROFILE" "$tp" "$dp" "$ENGINE_PORT" "$MODEL_PATH"
}
engine_start_server() {

50
experiments/910c/dsv4_910c_vllm_tp_dp_matrix/run_adaptive_concurrency_add16.sh
View File

@ -14,6 +14,15 @@ set -Eeuo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
EXPERIMENT_NAME="$(basename "$SCRIPT_DIR")"
# Auto-detect docker group access; re-exec under sg docker if needed.
if ! docker ps >/dev/null 2>&1; then
if sg docker -c "docker ps" >/dev/null 2>&1; then
exec sg docker -c "bash ${BASH_SOURCE[0]} ${*:-}"
fi
echo "ERROR: Cannot access docker. Run 'sudo usermod -aG docker $USER' and re-login." >&2
exit 1
fi
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/../../../scripts/common/lib.sh"
# shellcheck source=/dev/null
@ -24,6 +33,10 @@ source "${SCRIPT_DIR}/config.env"
source "${SCRIPT_DIR}/adaptive_config.env"
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/../../../scripts/common/adaptive_bench_lib.sh"
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/../../../scripts/common/deploy_cli.sh"
DEPLOY_PROFILE="${DEPLOY_PROFILE:-910c/dsv4_910c_vllm_tp_dp_matrix}"
ENGINE="vllm"
ENGINE_PORT="$VLLM_PORT"
@ -52,21 +65,9 @@ engine_is_healthy() {
engine_stop_server() {
local tp="$1"
local dp="$2"
local pid_file="${RUNTIME_BASE}/${EXPERIMENT}_vllm_tp${tp}_dp${dp}.pid"
if [[ -f "$pid_file" ]]; then
local pid
pid="$(cat "$pid_file")"
if kill -0 "$pid" 2>/dev/null; then
log "stopping vllm-ascend server pid=${pid} tp=${tp} dp=${dp}"
kill "$pid" 2>/dev/null || true
sleep 5
kill -9 "$pid" 2>/dev/null || true
fi
rm -f "$pid_file"
fi
# Also remove the container by name in case the host process is gone but the
# container lingers (e.g. orphaned by a kill -9).
docker rm -f "${CONTAINER_NAME}_tp${tp}_dp${dp}" >/dev/null 2>&1 || true
log "stopping vllm-ascend server tp=${tp} dp=${dp} via deploy profile"
bash "${SCRIPT_DIR}/stop_vllm_docker.sh" "$tp" "$dp" >> "${ADAPTIVE_LOG_DIR}/vllm_tp${tp}_dp${dp}.server.outer.log" 2>&1 || true
ACTIVE_ENGINE_SERVER_LOG=""
sleep 2
}
@ -96,23 +97,8 @@ engine_build_server_args() {
;;
esac
log "server args tp=${tp} dp=${dp} gpu_mem_util=${mem_util} max_model_len=${max_len} max_num_seqs=${max_seqs}" >&2
local -a args=(
vllm serve "$MODEL_PATH"
--served-model-name "$SERVED_MODEL_NAME"
--block-size "$BLOCK_SIZE"
--tensor-parallel-size "$tp"
--gpu-memory-utilization "$mem_util"
--max-model-len "$max_len"
--max-num-seqs "$max_seqs"
--max-num-batched-tokens "$MAX_NUM_BATCHED_TOKENS"
--api-server-count "$API_SERVER_COUNT"
--host 0.0.0.0
--port "$ENGINE_PORT"
)
if (( dp > 1 )); then
args+=(--data-parallel-size "$dp")
fi
printf '%q ' "${args[@]}"
export GPU_MEMORY_UTILIZATION="$mem_util" MAX_MODEL_LEN="$max_len" MAX_NUM_SEQS="$max_seqs"
deploy_render_args "$DEPLOY_PROFILE" "$tp" "$dp" "$ENGINE_PORT" "$MODEL_PATH"
}
engine_start_server() {

52
experiments/910c/dsv4_910c_vllm_tp_dp_matrix/run_bench.sh
View File

@ -5,12 +5,23 @@ set -Eeuo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
EXPERIMENT_NAME="$(basename "$SCRIPT_DIR")"
# Auto-detect docker group access; re-exec under sg docker if needed.
if ! docker ps >/dev/null 2>&1; then
if sg docker -c "docker ps" >/dev/null 2>&1; then
exec sg docker -c "bash ${BASH_SOURCE[0]} ${*:-}"
fi
echo "ERROR: Cannot access docker. Run 'sudo usermod -aG docker $USER' and re-login." >&2
exit 1
fi
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/../../../scripts/common/lib.sh"
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/../../../scripts/common/platform.sh"
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/config.env"
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/../../../scripts/common/deploy_cli.sh"
# Export variables used inside functions that are called via bash -c subshells.
export DATASET_PATH MODEL_PATH RESULT_BASE \
@ -53,21 +64,8 @@ stop_server() {
local tp="$1"
local dp="$2"
local pid_file="${RUNTIME_BASE}/${EXPERIMENT}_vllm_tp${tp}_dp${dp}.pid"
if [[ -f "$pid_file" ]]; then
local pid
pid="$(cat "$pid_file")"
if kill -0 "$pid" 2>/dev/null; then
log "stopping vllm server pid=${pid} (tp=${tp}, dp=${dp})"
kill "$pid" 2>/dev/null || true
sleep 5
kill -9 "$pid" 2>/dev/null || true
fi
rm -f "$pid_file"
fi
# Fallback: remove any Docker container started by this experiment.
docker rm -f "${EXPERIMENT}_vllm_tp${tp}_dp${dp}" >/dev/null 2>&1 || true
log "stopping vllm server tp=${tp} dp=${dp} via deploy profile"
bash "${SCRIPT_DIR}/stop_vllm_docker.sh" "$tp" "$dp" >> "${log_dir_global}/vllm_tp${tp}_dp${dp}.server.outer.log" 2>&1 || true
# Fallback: kill any vllm serve processes for this model.
pkill -9 -f "vllm serve.*${MODEL_NAME}" 2>/dev/null || true
@ -79,25 +77,11 @@ build_server_args() {
local tp="$1"
local dp="$2"
local args=(
"vllm serve" "$MODEL_PATH"
--trust-remote-code
--kv-cache-dtype "$KV_CACHE_DTYPE"
--block-size "$BLOCK_SIZE"
--tensor-parallel-size "$tp"
--gpu-memory-utilization "$GPU_MEMORY_UTILIZATION"
--max-model-len "$MAX_MODEL_LEN"
--max-num-seqs "$MAX_NUM_SEQS"
--no-enable-flashinfer-autotune
--host 0.0.0.0
--port "$VLLM_PORT"
)
if [[ "$dp" -gt 1 ]]; then
args+=(
--data-parallel-size "$dp"
)
fi
printf '%s ' "${args[@]}"
deploy_render_args \
"${DEPLOY_PROFILE:-910c/dsv4_910c_vllm_tp_dp_matrix}" \
"$tp" "$dp" \
"${VLLM_PORT:-30052}" \
"$MODEL_PATH"
}
start_server() {

203
experiments/910c/dsv4_910c_vllm_tp_dp_matrix/start_vllm_docker.sh
View File

@ -1,25 +1,39 @@
#!/usr/bin/env bash
# Start vLLM-Ascend server in Docker for a given TP×DP configuration on 910C.
# Start vLLM-Ascend server for a given TP×DP configuration on 910C through the
# shared deployment layer (profile: deploy/profiles/910c/dsv4_910c_vllm_tp_dp_matrix.env).
# Usage: start_vllm_docker.sh <TP> <DP>
#
# DSV4-Flash-specific: mounts host driver libs + all 16 davinci dies explicitly
# via --device (NOT relying on Ascend Docker Runtime injection, which was
# unreliable here), and injects the DSV4-required vllm serve flags
# (tokenizer-mode, expert-parallel, quantization ascend, MTP, ...).
#
# Synced from glm52 fix (98cdb67): TP=16 device mount, configurable health
# timeout, driver mounts, container-name double-suffix fix.
# Per-TP overrides (GPU_MEMORY_UTILIZATION / MAX_MODEL_LEN / MAX_NUM_SEQS) are
# exported so the profile LAUNCH_ARGS template picks them up.
set -e
TP="${1}"
DP="${2}"
if [[ -z "$TP" || -z "$DP" ]]; then
echo "Usage: $0 <TP> <DP>"
exit 1
fi
# Auto-detect docker group access; re-exec under sg docker if needed.
if ! docker ps >/dev/null 2>&1; then
if sg docker -c "docker ps" >/dev/null 2>&1; then
exec sg docker -c "bash ${BASH_SOURCE[0]} ${1:-} ${2:-}"
fi
echo "ERROR: Cannot access docker. Run 'sudo usermod -aG docker $USER' and re-login." >&2
exit 1
fi
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/../../../scripts/common/lib.sh"
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/../../../scripts/common/platform.sh"
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/config.env"
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/../../../scripts/common/deploy_cli.sh"
# Per-TP parameter overrides (synced from glm52 fix 6c81183).
# DSV4-Flash w8a8 weight per die = ~280GiB / TP; each die has 64GB HBM.
# Per-TP parameter overrides (synced from the pre-decoupling launcher).
case "$TP" in
4)
GPU_MEMORY_UTILIZATION="${TP4_GPU_MEMORY_UTILIZATION:-0.9}"
@ -37,167 +51,16 @@ case "$TP" in
MAX_NUM_SEQS="${TP16_MAX_NUM_SEQS:-256}"
;;
esac
export GPU_MEMORY_UTILIZATION MAX_MODEL_LEN MAX_NUM_SEQS
RUNTIME_BASE="${RUNTIME_BASE:-${SCRIPT_DIR}/runtime}"
mkdir -p "${RUNTIME_BASE}/logs" "${RUNTIME_BASE}/tmp"
IMAGE="${DOCKER_IMAGE:-quay.io/ascend/vllm-ascend:v0.23.0rc1-a3-openeuler}"
PORT="${VLLM_PORT:-30052}"
# Fixed container name (no env override) to avoid the double-suffix bug where
# CONTAINER_NAME already carries _tpX_dpY and the launcher appends it again.
NAME="${CONTAINER_NAME}_tp${TP}_dp${DP}"
PID_FILE="${RUNTIME_BASE}/${EXPERIMENT}_vllm_tp${TP}_dp${DP}.pid"
LOG="${RUNTIME_BASE}/logs/${EXPERIMENT}_vllm_docker_tp${TP}_dp${DP}_$(date +%Y%m%d_%H%M%S).log"
rm -f "$PID_FILE"
# Clean up any stale container with the same name.
docker rm -f "$NAME" >/dev/null 2>&1 || true
# ---- vLLM-Ascend launch args ----
# Base args common to GLM-5.2 and DSV4-Flash.
SERVER_ARGS=(
"$MODEL_PATH"
--served-model-name "$SERVED_MODEL_NAME"
--block-size "$BLOCK_SIZE"
--tensor-parallel-size "$TP"
--gpu-memory-utilization "$GPU_MEMORY_UTILIZATION"
--max-model-len "$MAX_MODEL_LEN"
--max-num-seqs "$MAX_NUM_SEQS"
--max-num-batched-tokens "$MAX_NUM_BATCHED_TOKENS"
--api-server-count "$API_SERVER_COUNT"
--host 0.0.0.0
--port "$PORT"
)
if [[ "$DP" -gt 1 ]]; then
SERVER_ARGS+=(--data-parallel-size "$DP")
fi
# ---- DSV4-Flash-specific args (REQUIRED; GLM-5.2 does not use these) ----
# Verified working in the manual bring-up on 910c.1.
SERVER_ARGS+=(
--tokenizer-mode "$DSV4_TOKENIZER_MODE"
--tool-call-parser "$DSV4_TOOL_CALL_PARSER"
--enable-auto-tool-choice
--reasoning-parser "$DSV4_REASONING_PARSER"
--quantization "$DSV4_QUANTIZATION"
--safetensors-load-strategy "$DSV4_SAFETENSORS_LOAD_STRATEGY"
)
if [[ "${DSV4_ENABLE_EXPERT_PARALLEL:-1}" == "1" ]]; then
SERVER_ARGS+=(--enable-expert-parallel)
fi
if [[ "${DSV4_ENABLE_ASYNC_SCHEDULING:-1}" == "1" ]]; then
SERVER_ARGS+=(--async-scheduling)
fi
# JSON-bearing args. Quoted as single strings so vllm parses each as one argv.
SERVER_ARGS+=(--model-loader-extra-config "$DSV4_MODEL_LOADER_EXTRA_CONFIG")
if [[ "${DSV4_ENABLE_MTP:-0}" == "1" ]]; then
SERVER_ARGS+=(--speculative-config "$DSV4_SPEC_CONFIG")
fi
SERVER_ARGS+=(--compilation-config "$DSV4_COMPILATION_CONFIG")
SERVER_ARGS+=(--additional-config "$DSV4_ADDITIONAL_CONFIG")
SERVER_ARGS_STR="vllm serve ${SERVER_ARGS[*]}"
echo "=== Starting vLLM-Ascend server in Docker (TP=${TP}, DP=${DP}) ==="
echo "Image: $IMAGE"
echo "Model: $MODEL_PATH"
echo "Container name: $NAME"
echo "Host port: $PORT"
echo "ASCEND_VISIBLE_DEVICES: ${ASCEND_VISIBLE_DEVICES}"
echo "Command: $SERVER_ARGS_STR"
echo "Log: $LOG"
# ---- Docker run ----
# Mount host driver libs + all 16 dies explicitly (synced from glm52 fix).
# --privileged + --shm-size 512g for the 280GiB DSV4 weight load.
DEVICE_ARGS=(
--device /dev/davinci0 --device /dev/davinci1 --device /dev/davinci2 --device /dev/davinci3
--device /dev/davinci4 --device /dev/davinci5 --device /dev/davinci6 --device /dev/davinci7
--device /dev/davinci8 --device /dev/davinci9 --device /dev/davinci10 --device /dev/davinci11
--device /dev/davinci12 --device /dev/davinci13 --device /dev/davinci14 --device /dev/davinci15
--device /dev/davinci_manager --device /dev/devmm_svm --device /dev/hisi_hdc
)
VOL_ARGS=(
-v /usr/local/dcmi:/usr/local/dcmi
-v /usr/local/Ascend/driver/tools/hccn_tool:/usr/local/Ascend/driver/tools/hccn_tool
-v /usr/local/bin/npu-smi:/usr/local/bin/npu-smi
-v /usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64
-v /usr/local/Ascend/driver/version.info:/usr/local/Ascend/driver/version.info
-v /etc/ascend_install.info:/etc/ascend_install.info
-v /etc/hccn.conf:/etc/hccn.conf
-v "${MODEL_PATH}:${MODEL_PATH}:ro"
-v "${RUNTIME_BASE}/tmp:/tmp"
-v /mnt:/mnt
)
ENV_ARGS=(
-e ASCEND_VISIBLE_DEVICES="${ASCEND_VISIBLE_DEVICES}"
-e PYTORCH_NPU_ALLOC_CONF=expandable_segments:True
-e PYTHONUNBUFFERED=1
-e HF_HUB_OFFLINE=1
-e TRANSFORMERS_OFFLINE=1
-e OMP_PROC_BIND=false
-e OMP_NUM_THREADS=10
-e HCCL_BUFFSIZE=1024
-e VLLM_ASCEND_ENABLE_FLASHCOMM1=1
-e TASK_QUEUE_ENABLE=1
-e "HCCL_OP_EXPANSION_MODE=AIV"
-e "LD_PRELOAD=/usr/lib64/libjemalloc.so.2"
)
if [[ "${DRY_RUN:-0}" == "1" ]]; then
echo "[DRY-RUN] docker run --rm --name \"$NAME\" --privileged --ipc host --shm-size 512g \\"
echo " --network host ${DEVICE_ARGS[*]} ${VOL_ARGS[*]} ${ENV_ARGS[*]} \\"
echo " \"$IMAGE\" $SERVER_ARGS_STR"
exit 0
fi
nohup docker run --rm \
--name "$NAME" \
--privileged \
--ipc host \
--shm-size 512g \
--network host \
--ulimit memlock=-1 \
"${DEVICE_ARGS[@]}" \
"${VOL_ARGS[@]}" \
"${ENV_ARGS[@]}" \
"$IMAGE" \
vllm serve "${SERVER_ARGS[@]}" \
> "$LOG" 2>&1 &
PID=$!
echo $PID > "$PID_FILE"
echo "PID: $PID"
echo "Waiting for health on port ${PORT}..."
# Health-check budget. DSV4 weight load (280 GiB) + graph compile takes much
# longer than GLM-5.2; TP=16 compiles 16 graphs (~60min). Allow overrides.
# Synced from glm52 fix: 480 x 5s = 40min default.
HEALTH_MAX_RETRIES="${HEALTH_MAX_RETRIES:-480}"
HEALTH_RETRY_INTERVAL_S="${HEALTH_RETRY_INTERVAL_S:-5}"
for i in $(seq 1 "$HEALTH_MAX_RETRIES"); do
if curl --fail --silent --show-error --max-time 5 "http://127.0.0.1:${PORT}/health" >/dev/null 2>&1; then
echo "vLLM-Ascend server is ready at http://127.0.0.1:${PORT}"
echo "Log: $LOG"
exit 0
fi
if ! kill -0 $PID 2>/dev/null; then
echo "ERROR: Docker vLLM-Ascend server exited early"
tail -200 "$LOG"
exit 1
fi
echo "Waiting... ($i/$HEALTH_MAX_RETRIES)"
sleep "$HEALTH_RETRY_INTERVAL_S"
done
echo "ERROR: vLLM-Ascend server not healthy after $HEALTH_MAX_RETRIES retries"
tail -200 "$LOG"
exit 1
log "starting vLLM-Ascend server tp=${TP} dp=${DP} via deploy profile"
deploy_start \
"${DEPLOY_PROFILE:-910c/dsv4_910c_vllm_tp_dp_matrix}" \
"$TP" "$DP" \
"${RUNTIME_BASE}/logs" \
"${VLLM_PORT:-30052}" \
"$MODEL_PATH" \
""

39
experiments/910c/dsv4_910c_vllm_tp_dp_matrix/stop_vllm_docker.sh Executable file
View File

@ -0,0 +1,39 @@
#!/usr/bin/env bash
# Stop vLLM-Ascend server for a given TP×DP configuration on 910C through the
# shared deployment layer.
# Usage: stop_vllm_docker.sh <TP> <DP>
set -e
TP="${1}"
DP="${2}"
if [[ -z "$TP" || -z "$DP" ]]; then
echo "Usage: $0 <TP> <DP>"
exit 1
fi
# Auto-detect docker group access; re-exec under sg docker if needed.
if ! docker ps >/dev/null 2>&1; then
if sg docker -c "docker ps" >/dev/null 2>&1; then
exec sg docker -c "bash ${BASH_SOURCE[0]} ${1:-} ${2:-}"
fi
echo "ERROR: Cannot access docker. Run 'sudo usermod -aG docker $USER' and re-login." >&2
exit 1
fi
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/../../../scripts/common/lib.sh"
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/../../../scripts/common/platform.sh"
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/config.env"
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/../../../scripts/common/deploy_cli.sh"
log "stopping vLLM-Ascend server tp=${TP} dp=${DP} via deploy profile"
deploy_stop \
"${DEPLOY_PROFILE:-910c/dsv4_910c_vllm_tp_dp_matrix}" \
"$TP" "$DP" \
"${VLLM_PORT:-30052}" \
"$MODEL_PATH" \
""

37
experiments/910c/glm52_910c_vllm_tp_dp_matrix/run_adaptive_concurrency.sh
View File

@ -15,6 +15,10 @@ source "${SCRIPT_DIR}/config.env"
source "${SCRIPT_DIR}/adaptive_config.env"
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/../../../scripts/common/adaptive_bench_lib.sh"
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/../../../scripts/common/deploy_cli.sh"
DEPLOY_PROFILE="${DEPLOY_PROFILE:-910c/glm52_910c_vllm_tp_dp_matrix}"
ENGINE="vllm"
ENGINE_PORT="$VLLM_PORT"
@ -38,20 +42,9 @@ engine_is_healthy() {
engine_stop_server() {
local tp="$1"
local dp="$2"
local pid_file="${RUNTIME_BASE}/${EXPERIMENT}_vllm_tp${tp}_dp${dp}.pid"
if [[ -f "$pid_file" ]]; then
local pid
pid="$(cat "$pid_file")"
if kill -0 "$pid" 2>/dev/null; then
log "stopping vllm server pid=${pid} tp=${tp} dp=${dp}"
kill "$pid" 2>/dev/null || true
sleep 5
kill -9 "$pid" 2>/dev/null || true
fi
rm -f "$pid_file"
fi
docker rm -f "${EXPERIMENT}_vllm_tp${tp}_dp${dp}" >/dev/null 2>&1 || true
log "stopping vllm server tp=${tp} dp=${dp} via deploy profile"
bash "${SCRIPT_DIR}/stop_vllm_docker.sh" "$tp" "$dp" >> "${ADAPTIVE_LOG_DIR}/vllm_tp${tp}_dp${dp}.server.outer.log" 2>&1 || true
ACTIVE_ENGINE_SERVER_LOG=""
sleep 2
}
@ -59,23 +52,7 @@ engine_stop_server() {
engine_build_server_args() {
local tp="$1"
local dp="$2"
local -a args=(
vllm serve "$MODEL_PATH"
--trust-remote-code
--kv-cache-dtype "$KV_CACHE_DTYPE"
--block-size "$BLOCK_SIZE"
--tensor-parallel-size "$tp"
--gpu-memory-utilization "$GPU_MEMORY_UTILIZATION"
--max-model-len "$MAX_MODEL_LEN"
--max-num-seqs "$MAX_NUM_SEQS"
--no-enable-flashinfer-autotune
--host 0.0.0.0
--port "$ENGINE_PORT"
)
if (( dp > 1 )); then
args+=(--data-parallel-size "$dp")
fi
printf '%q ' "${args[@]}"
deploy_render_args "$DEPLOY_PROFILE" "$tp" "$dp" "$ENGINE_PORT" "$MODEL_PATH"
}
engine_start_server() {

58
experiments/910c/glm52_910c_vllm_tp_dp_matrix/run_adaptive_concurrency_add16.sh
View File

@ -24,6 +24,10 @@ source "${SCRIPT_DIR}/config.env"
source "${SCRIPT_DIR}/adaptive_config.env"
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/../../../scripts/common/adaptive_bench_lib.sh"
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/../../../scripts/common/deploy_cli.sh"
DEPLOY_PROFILE="${DEPLOY_PROFILE:-910c/glm52_910c_vllm_tp_dp_matrix}"
ENGINE="vllm"
ENGINE_PORT="$VLLM_PORT"
@ -52,21 +56,9 @@ engine_is_healthy() {
engine_stop_server() {
local tp="$1"
local dp="$2"
local pid_file="${RUNTIME_BASE}/${EXPERIMENT}_vllm_tp${tp}_dp${dp}.pid"
if [[ -f "$pid_file" ]]; then
local pid
pid="$(cat "$pid_file")"
if kill -0 "$pid" 2>/dev/null; then
log "stopping vllm-ascend server pid=${pid} tp=${tp} dp=${dp}"
kill "$pid" 2>/dev/null || true
sleep 5
kill -9 "$pid" 2>/dev/null || true
fi
rm -f "$pid_file"
fi
# Also remove the container by name in case the host process is gone but the
# container lingers (e.g. orphaned by a kill -9).
docker rm -f "${CONTAINER_NAME}_tp${tp}_dp${dp}" >/dev/null 2>&1 || true
log "stopping vllm-ascend server tp=${tp} dp=${dp} via deploy profile"
bash "${SCRIPT_DIR}/stop_vllm_docker.sh" "$tp" "$dp" >> "${ADAPTIVE_LOG_DIR}/vllm_tp${tp}_dp${dp}.server.outer.log" 2>&1 || true
ACTIVE_ENGINE_SERVER_LOG=""
sleep 2
}
@ -97,40 +89,8 @@ engine_build_server_args() {
;;
esac
log "server args tp=${tp} dp=${dp} gpu_mem_util=${mem_util} max_model_len=${max_len} max_num_seqs=${max_seqs}" >&2
# MoE / DSA-CP args required by GLM-5.2 on vllm-ascend (must match
# start_vllm_docker.sh). --enable-expert-parallel is mandatory for
# FlashComm v1 (VLLM_ASCEND_ENABLE_FLASHCOMM1=1); without it MoE
# MoeDistributeDispatchV2 tiling fails at engine init.
local compilation_config='{"cudagraph_mode": "FULL_DECODE_ONLY"}'
local additional_config='{"enable_dsa_cp": true,"enable_sparse_sfa_c8": false, "enable_sparse_li_c8": true,"enable_balance_scheduling": true,"multistream_overlap_shared_expert":true}'
local -a args=(
vllm serve "$MODEL_PATH"
--served-model-name "$SERVED_MODEL_NAME"
--trust-remote-code
--block-size "$BLOCK_SIZE"
--tensor-parallel-size "$tp"
--enable-expert-parallel
--gpu-memory-utilization "$mem_util"
--max-model-len "$max_len"
--max-num-seqs "$max_seqs"
--max-num-batched-tokens "$MAX_NUM_BATCHED_TOKENS"
--api-server-count "$API_SERVER_COUNT"
--compilation-config "$compilation_config"
--additional-config "$additional_config"
--host 0.0.0.0
--port "$ENGINE_PORT"
)
if (( dp > 1 )); then
args+=(--data-parallel-size "$dp")
fi
# Emit args space-separated. JSON config strings are single-quoted
# verbatim (not %q-escaped) so the recorded command stays re-runnable.
local out=""
local a
for a in "${args[@]}"; do
out+="'$a' "
done
printf '%s' "$out"
export GPU_MEMORY_UTILIZATION="$mem_util" MAX_MODEL_LEN="$max_len" MAX_NUM_SEQS="$max_seqs"
deploy_render_args "$DEPLOY_PROFILE" "$tp" "$dp" "$ENGINE_PORT" "$MODEL_PATH"
}
engine_start_server() {

43
experiments/910c/glm52_910c_vllm_tp_dp_matrix/run_bench.sh
View File

@ -11,6 +11,8 @@ source "${SCRIPT_DIR}/../../../scripts/common/lib.sh"
source "${SCRIPT_DIR}/../../../scripts/common/platform.sh"
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/config.env"
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/../../../scripts/common/deploy_cli.sh"
# Export variables used inside functions that are called via bash -c subshells.
export DATASET_PATH MODEL_PATH RESULT_BASE \
@ -53,21 +55,8 @@ stop_server() {
local tp="$1"
local dp="$2"
local pid_file="${RUNTIME_BASE}/${EXPERIMENT}_vllm_tp${tp}_dp${dp}.pid"
if [[ -f "$pid_file" ]]; then
local pid
pid="$(cat "$pid_file")"
if kill -0 "$pid" 2>/dev/null; then
log "stopping vllm server pid=${pid} (tp=${tp}, dp=${dp})"
kill "$pid" 2>/dev/null || true
sleep 5
kill -9 "$pid" 2>/dev/null || true
fi
rm -f "$pid_file"
fi
# Fallback: remove any Docker container started by this experiment.
docker rm -f "${EXPERIMENT}_vllm_tp${tp}_dp${dp}" >/dev/null 2>&1 || true
log "stopping vllm server tp=${tp} dp=${dp} via deploy profile"
bash "${SCRIPT_DIR}/stop_vllm_docker.sh" "$tp" "$dp" >> "${log_dir_global}/vllm_tp${tp}_dp${dp}.server.outer.log" 2>&1 || true
# Fallback: kill any vllm serve processes for this model.
pkill -9 -f "vllm serve.*${MODEL_NAME}" 2>/dev/null || true
@ -79,25 +68,11 @@ build_server_args() {
local tp="$1"
local dp="$2"
local args=(
"vllm serve" "$MODEL_PATH"
--trust-remote-code
--kv-cache-dtype "$KV_CACHE_DTYPE"
--block-size "$BLOCK_SIZE"
--tensor-parallel-size "$tp"
--gpu-memory-utilization "$GPU_MEMORY_UTILIZATION"
--max-model-len "$MAX_MODEL_LEN"
--max-num-seqs "$MAX_NUM_SEQS"
--no-enable-flashinfer-autotune
--host 0.0.0.0
--port "$VLLM_PORT"
)
if [[ "$dp" -gt 1 ]]; then
args+=(
--data-parallel-size "$dp"
)
fi
printf '%s ' "${args[@]}"
deploy_render_args \
"${DEPLOY_PROFILE:-910c/glm52_910c_vllm_tp_dp_matrix}" \
"$tp" "$dp" \
"${VLLM_PORT:-30050}" \
"$MODEL_PATH"
}
start_server() {

157
experiments/910c/glm52_910c_vllm_tp_dp_matrix/start_vllm_docker.sh
View File

@ -1,38 +1,39 @@
#!/usr/bin/env bash
# Start vLLM-Ascend server in Docker for a given TP×DP configuration on 910C.
# Start vLLM-Ascend server for a given TP×DP configuration on 910C through the
# shared deployment layer (profile: deploy/profiles/910c/glm52_910c_vllm_tp_dp_matrix.env).
# Usage: start_vllm_docker.sh <TP> <DP>
#
# Relies on the Ascend Docker Runtime being the default docker runtime on this
# host (see /etc/docker/daemon.json). NPU dies are injected via the
# ASCEND_VISIBLE_DEVICES env var; no --gpus / --device flags are needed.
# Per-TP overrides (GPU_MEMORY_UTILIZATION / MAX_MODEL_LEN / MAX_NUM_SEQS) are
# exported so the profile LAUNCH_ARGS template picks them up.
set -e
TP="${1}"
DP="${2}"
if [[ -z "$TP" || -z "$DP" ]]; then
echo "Usage: $0 <TP> <DP>"
exit 1
fi
# Auto-detect docker group access; re-exec under sg docker if needed.
if ! docker ps >/dev/null 2>&1; then
if sg docker -c "docker ps" >/dev/null 2>&1; then
exec sg docker -c "bash ${BASH_SOURCE[0]} ${1:-} ${2:-}"
fi
echo "ERROR: Cannot access docker. Run 'sudo usermod -aG docker $USER' and re-login." >&2
exit 1
fi
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/../../../scripts/common/lib.sh"
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/../../../scripts/common/platform.sh"
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/config.env"
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/../../../scripts/common/deploy_cli.sh"
RUNTIME_BASE="${RUNTIME_BASE:-${SCRIPT_DIR}/runtime}"
mkdir -p "${RUNTIME_BASE}/logs" "${RUNTIME_BASE}/tmp"
IMAGE="${DOCKER_IMAGE:-vllm-ascend:glm5.2-a3-openeuler}"
PORT="${VLLM_PORT:-30050}"
NAME="${CONTAINER_NAME:-${EXPERIMENT}_vllm}_tp${TP}_dp${DP}"
PID_FILE="${RUNTIME_BASE}/${EXPERIMENT}_vllm_tp${TP}_dp${DP}.pid"
LOG="${RUNTIME_BASE}/logs/${EXPERIMENT}_vllm_docker_tp${TP}_dp${DP}_$(date +%Y%m%d_%H%M%S).log"
rm -f "$PID_FILE"
# Clean up any stale container with the same name.
docker rm -f "$NAME" >/dev/null 2>&1 || true
# vLLM-Ascend launch args. Differences vs NVIDIA vLLM:
#\n - no --no-enable-flashinfer-autotune (Ascend uses its own attention path)
#\n - --kv-cache-dtype may need to be fp16 if the image rejects fp8 on 910C
# Per-TP overrides: TP=8 has tight KV cache on 64GB/die (cap context/seqs),
# TP=16 uses all 16 dies and can serve the full 128K context.
# Per-TP parameter overrides (synced from the pre-decoupling launcher).
case "$TP" in
4)
GPU_MEMORY_UTILIZATION="${TP4_GPU_MEMORY_UTILIZATION:-0.97}"
@ -50,104 +51,16 @@ case "$TP" in
MAX_NUM_SEQS="${TP16_MAX_NUM_SEQS:-256}"
;;
esac
export GPU_MEMORY_UTILIZATION MAX_MODEL_LEN MAX_NUM_SEQS
SERVER_ARGS=(
"$MODEL_PATH"
--served-model-name "$SERVED_MODEL_NAME"
--trust-remote-code
--block-size "$BLOCK_SIZE"
--tensor-parallel-size "$TP"
--enable-expert-parallel
--gpu-memory-utilization "$GPU_MEMORY_UTILIZATION"
--max-model-len "$MAX_MODEL_LEN"
--max-num-seqs "$MAX_NUM_SEQS"
--max-num-batched-tokens "$MAX_NUM_BATCHED_TOKENS"
--api-server-count "$API_SERVER_COUNT"
--host 0.0.0.0
--port "$PORT"
--compilation-config '{"cudagraph_mode": "FULL_DECODE_ONLY"}'
--additional-config '{"enable_dsa_cp": true,"enable_sparse_sfa_c8": false, "enable_sparse_li_c8": true,"enable_balance_scheduling": true,"multistream_overlap_shared_expert":true}'
)
RUNTIME_BASE="${RUNTIME_BASE:-${SCRIPT_DIR}/runtime}"
mkdir -p "${RUNTIME_BASE}/logs" "${RUNTIME_BASE}/tmp"
if [[ "$DP" -gt 1 ]]; then
SERVER_ARGS+=(--data-parallel-size "$DP")
fi
SERVER_ARGS_STR="vllm serve ${SERVER_ARGS[*]}"
echo "=== Starting vLLM-Ascend server in Docker (TP=${TP}, DP=${DP}) ==="
echo "Image: $IMAGE"
echo "Model: $MODEL_PATH"
echo "Container name: $NAME"
echo "Host port: $PORT"
echo "ASCEND_VISIBLE_DEVICES: ${ASCEND_VISIBLE_DEVICES}"
echo "Command: $SERVER_ARGS_STR"
echo "Log: $LOG"
# Run docker in the foreground; nohup backgrounds it and the host PID lets the
# adaptive search stop the container by killing the process (the container has
# --rm so it self-cleans). The Ascend Docker Runtime is the default runtime, so
# no --runtime flag is required.
nohup docker run --rm \
--name "$NAME" \
--ipc host \
--network host \
--ulimit memlock=-1 \
--device /dev/davinci0 --device /dev/davinci1 --device /dev/davinci2 --device /dev/davinci3 \
--device /dev/davinci4 --device /dev/davinci5 --device /dev/davinci6 --device /dev/davinci7 \
--device /dev/davinci8 --device /dev/davinci9 --device /dev/davinci10 --device /dev/davinci11 \
--device /dev/davinci12 --device /dev/davinci13 --device /dev/davinci14 --device /dev/davinci15 \
--device /dev/davinci_manager --device /dev/devmm_svm --device /dev/hisi_hdc \
-v /usr/local/Ascend/driver/tools/hccn_tool:/usr/local/Ascend/driver/tools/hccn_tool \
-v /usr/local/bin/npu-smi:/usr/local/bin/npu-smi \
-v /usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64 \
-v /usr/local/Ascend/driver/version.info:/usr/local/Ascend/driver/version.info \
-v /etc/ascend_install.info:/etc/ascend_install.info \
-v /etc/hccn.conf:/etc/hccn.conf \
-v "${MODEL_PATH}:${MODEL_PATH}:ro" \
-v "${RUNTIME_BASE}/tmp:/tmp" \
-v /usr/local/dcmi:/usr/local/dcmi \
-v /mnt:/mnt \
-e PYTORCH_NPU_ALLOC_CONF=expandable_segments:True \
-e VLLM_ASCEND_ENABLE_FLASHCOMM1=1 \
-e PYTHONUNBUFFERED=1 \
-e HF_HUB_OFFLINE=1 \
-e TRANSFORMERS_OFFLINE=1 \
"$IMAGE" \
vllm serve "${SERVER_ARGS[@]}" \
> "$LOG" 2>&1 &
PID=$!
echo $PID > "$PID_FILE"
echo "PID: $PID"
echo "Waiting for health on port ${PORT}..."
# Health-check budget. TP=16 on 910C compiles 16 CUDA graphs which can take
# ~30+ min, far exceeding the original 240x5s=20min cap. Allow overrides.
HEALTH_MAX_RETRIES="${HEALTH_MAX_RETRIES:-480}"
HEALTH_RETRY_INTERVAL_S="${HEALTH_RETRY_INTERVAL_S:-5}"
for i in $(seq 1 "$HEALTH_MAX_RETRIES"); do
if curl --fail --silent --show-error --max-time 5 "http://127.0.0.1:${PORT}/health" >/dev/null 2>&1; then
echo "vLLM-Ascend server is ready at http://127.0.0.1:${PORT}"
echo "Log: $LOG"
exit 0
fi
if ! kill -0 $PID 2>/dev/null; then
echo "ERROR: Docker vLLM-Ascend server exited early"
tail -200 "$LOG"
exit 1
fi
echo "Waiting... ($i/$HEALTH_MAX_RETRIES)"
sleep "$HEALTH_RETRY_INTERVAL_S"
done
echo "ERROR: vLLM-Ascend server not healthy after $HEALTH_MAX_RETRIES retries"
tail -200 "$LOG"
exit 1
log "starting vLLM-Ascend server tp=${TP} dp=${DP} via deploy profile"
deploy_start \
"${DEPLOY_PROFILE:-910c/glm52_910c_vllm_tp_dp_matrix}" \
"$TP" "$DP" \
"${RUNTIME_BASE}/logs" \
"${VLLM_PORT:-30050}" \
"$MODEL_PATH" \
""

39
experiments/910c/glm52_910c_vllm_tp_dp_matrix/stop_vllm_docker.sh Executable file
View File

@ -0,0 +1,39 @@
#!/usr/bin/env bash
# Stop vLLM-Ascend server for a given TP×DP configuration on 910C through the
# shared deployment layer.
# Usage: stop_vllm_docker.sh <TP> <DP>
set -e
TP="${1}"
DP="${2}"
if [[ -z "$TP" || -z "$DP" ]]; then
echo "Usage: $0 <TP> <DP>"
exit 1
fi
# Auto-detect docker group access; re-exec under sg docker if needed.
if ! docker ps >/dev/null 2>&1; then
if sg docker -c "docker ps" >/dev/null 2>&1; then
exec sg docker -c "bash ${BASH_SOURCE[0]} ${1:-} ${2:-}"
fi
echo "ERROR: Cannot access docker. Run 'sudo usermod -aG docker $USER' and re-login." >&2
exit 1
fi
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/../../../scripts/common/lib.sh"
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/../../../scripts/common/platform.sh"
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/config.env"
# shellcheck source=/dev/null
source "${SCRIPT_DIR}/../../../scripts/common/deploy_cli.sh"
log "stopping vLLM-Ascend server tp=${TP} dp=${DP} via deploy profile"
deploy_stop \
"${DEPLOY_PROFILE:-910c/glm52_910c_vllm_tp_dp_matrix}" \
"$TP" "$DP" \
"${VLLM_PORT:-30050}" \
"$MODEL_PATH" \
""

26
ops/README.md
View File

@ -121,7 +121,31 @@ vLLM 实验（`dsv4_pro6000_vllm_tp_dp_matrix`）的 bench client 使用 SGLang
镜像（vLLM 镜像不含 bench_serving），由 `DOCKER_CLIENT_IMAGE` 自动选择，
无需额外参数。
## 8. 常见问题
## 8. 910c（Ascend 910C）平台说明
实验目录 `experiments/910c/`，部署 profile 见 `deploy/profiles/910c/`
（`dsv4_910c_vllm_tp_dp_matrix` / `glm52_910c_vllm_tp_dp_matrix`，均 vLLM-Ascend）。
服务启停由模型团队通过 deploy 层管理（非 root 用户自动 `sg docker` 重入）：
```bash
cd /mnt/yy/sskj
PYTHONPATH=src python3 -m sskj.deploy start --profile 910c/dsv4_910c_vllm_tp_dp_matrix --tp 8 --dp 2
PYTHONPATH=src python3 -m sskj.deploy stop --profile 910c/dsv4_910c_vllm_tp_dp_matrix --tp 8 --dp 2
```
- dsv4: 端口 30052，TP×DP ∈ {4 4, 8 2, 16 1}；glm52: 端口 30050
- 容器名按 `vllm-ascend-{dsv4,glm52}-910c_tp<TP>_dp<DP>` 自动生成
- 引擎参数唯一来源为 profile（含 CANN set_env、JSON 配置经 base64 注入，避开
镜像 entrypoint 转义问题）；per-TP 的 max-model-len/max-num-seqs 由 start 脚本
按 TP 导出后传入 profile 模板
测试：`sskj.bench` 的 client 在 910c 上受镜像限制（vllm-ascend 镜像不带
sglang.bench_serving），正式矩阵/自适应测试请使用实验自带
`run_bench.sh` / `run_adaptive_concurrency*.sh`（server 启停已统一走 deploy 层）；
`sskj.bench` 可用于 `--dry-run` 场景清单核对与连通性验证。
## 9. 常见问题
- 服务不健康：确认 `--url` 的端口可从测试机访问，服务已启动且 `/health` 可通。
- 数据集缺失：仓库 `datasets/` 下没有 ShareGPT 文件时，统一 CLI 会自动退回

3
src/sskj/deploy/runtime.py
View File

@ -230,6 +230,9 @@ def _start_docker(
if node_rank is not None and node_rank != "0":
print(f"node rank {node_rank} started; skipping health check")
return 0
if dry_run:
print(f"[dry-run] health: {_health_url(profile)}{profile.get('HEALTH_PATH', '/health')}")
return 0
if wait_health(_health_url(profile), profile.get("HEALTH_PATH", "/health"), health_wait):
print(f"container {container} is healthy")
return 0