test_name: "test Qwen3-VL-235B-A22B disaggregated_prefill"
model: "Qwen/Qwen3-VL-235B-A22B-Instruct"
num_nodes: 2
npu_per_node: 16
env_common:
VLLM_USE_MODELSCOPE: true
HCCL_BUFFSIZE: 1024
SERVER_PORT: 8080
OMP_PROC_BIND: false
OMP_NUM_THREADS: 1
HCCL_OP_EXPANSION_MODE: "AIV"
TASK_QUEUE_ENABLE: 1
PYTORCH_NPU_ALLOC_CONF: expandable_segments:True
disaggregated_prefill:
enabled: true
prefiller_host_index: [0]
decoder_host_index: [1]
deployment:
-
server_cmd: >
vllm serve "Qwen/Qwen3-VL-235B-A22B-Instruct"
--host 0.0.0.0
--port $SERVER_PORT
--data-parallel-size 2
--data-parallel-size-local 2
--tensor-parallel-size 8
--seed 1024
--enable-expert-parallel
--max-num-seqs 32
--max-model-len 8192
--max-num-batched-tokens 8192
--trust-remote-code
--no-enable-prefix-caching
--gpu-memory-utilization 0.9
--kv-transfer-config
'{"kv_connector": "MooncakeConnectorV1",
"kv_role": "kv_producer",
"kv_port": "30000",
"engine_id": "0",
"kv_connector_extra_config": {
"prefill": {
"dp_size": 2,
"tp_size": 8
},
"decode": {
"dp_size": 4,
"tp_size": 4
}
}
}'
-
server_cmd: >
vllm serve "Qwen/Qwen3-VL-235B-A22B-Instruct"
--host 0.0.0.0
--port $SERVER_PORT
--data-parallel-size 4
--data-parallel-size-local 4
--tensor-parallel-size 4
--seed 1024
--enable-expert-parallel
--max-num-seqs 32
--max-model-len 8192
--max-num-batched-tokens 8192
--trust-remote-code
--no-enable-prefix-caching
--gpu-memory-utilization 0.9
--compilation-config '{"cudagraph_mode":"FULL_DECODE_ONLY"}'
--kv-transfer-config
'{"kv_connector": "MooncakeConnectorV1",
"kv_role": "kv_consumer",
"kv_port": "30200",
"engine_id": "1",
"kv_connector_extra_config": {
"prefill": {
"dp_size": 2,
"tp_size": 8
},
"decode": {
"dp_size": 4,
"tp_size": 4
}
}
}'
benchmarks:
perf:
case_type: performance
dataset_path: vllm-ascend/textvqa-perf-1080p
request_conf: vllm_api_stream_chat
dataset_conf: textvqa/textvqa_gen_base64
num_prompts: 2800
max_out_len: 1500
batch_size: 64
request_rate: 11.2
baseline: 1
threshold: 0.97
acc:
case_type: accuracy
dataset_path: vllm-ascend/textvqa-lite
request_conf: vllm_api_stream_chat
dataset_conf: textvqa/textvqa_gen_base64
max_out_len: 7680
batch_size: 64
baseline: 85
threshold: 5