- Request throughput
- 7.84 req/s
- Output throughput
- 2,007.4 tok/s
- p95 TTFT
- 444.8 ms
- p95 TPOT
- 12.85 ms
Manifest warnings
Review these published caveats before interpreting or comparing the metrics.
- Review imported facts against the local model, hardware, launch command, and benchmark command before publication.
Server launch command
CUDA_VISIBLE_DEVICES=2 vllm serve nvidia/Gemma-4-26B-A4B-NVFP4 \
--revision a19cfe00be84568a6867111c9a68c9c44fdcffe6 \
--port 9002 \
--host 127.0.0.1 \
--dtype bfloat16 \
--gpu-memory-utilization 0.88 \
--max-model-len 9216 \
--max-num-batched-tokens 16384 \
--max-num-seqs 32 \
--tensor-parallel-size 1 \
--pipeline-parallel-size 1 \
--kv-cache-dtype fp8 \
--distributed-executor-backend mp \
--no-enable-prefix-caching \
--enable-chunked-prefill \
--async-scheduling \
--no-enforce-eager \
--served-model-name nvidia/Gemma-4-26B-A4B-NVFP4 \
--disable-uvicorn-access-log \
--language-model-only \
--speculative-config '{"method":"mtp","model":"google/gemma-4-26B-A4B-it-assistant","revision":"6e5aaaf4c42b98394530b8fda2e95cadd65c151c","num_speculative_tokens":1}'Run details
- Workload
- 1024 → 256
- Methodology
- closed loop · streaming
- Test load
- 16 concurrent requests
- Endpoint
openai-compatible-completions- Requests
- 16 unmeasured warmups per invocation after one readiness request.
- Dataset
sha256=7b3a595f0a42c9e568ebe49422d9a636f6f46f8c66bc8cb4557f4f2a17650e52 generator=runpile-sweeps-tokenizer-verified-jsonl synthetic=true generator_revision=cab078b273cceada260983886369dfc896718627d072e44f74a1cca08b67675c shared_prefix_tokens=0- Sampling
mode=greedy temperature=0- Stopping
ignore_eos=true max_output_tokens=256- Prefix and cache
cache_state=warm-host cache_enabled=false shared_prefix_tokens=0- Client
name=vllm bench serve backend=vllm version=0.28.0 placement=same-host- Hardware
- 1× NVIDIA GeForce RTX 5090
- Runtime
- vllm 0.28.0
- Decoding method
- Speculative decoding
- mtp assistant model
- google/gemma-4-26B-A4B-it-assistantrevision
6e5aaaf4c42b98394530b8fda2e95cadd65c151c - Runtime configuration
dtype=bfloat16 max_num_seqs=32 enforce_eager=false max_model_len=9216 kv_cache_dtype=fp8 prefix_caching=false chunked_prefill=true expert_parallel=false async_scheduling=true gpu_memory_utilization=0.88 max_num_batched_tokens=16384- Measurement
- vllm bench serve 0.28.0
- Timing
- client-observed streaming request latency · client overhead included
- Repetitions
- 1
- Failure handling
- Failed requests counted; no client retries.
- Quantization
format=NVFP4 target plus BF16 MTP assistant checkpoint=ModelOpt/compressed-tensors- Model revision
a19cfe00be84568a6867111c9a68c9c44fdcffe6- Evidence
- Raw benchmark evidence attached · eligible and ranked
- Published
- by anonymous-EVjB2S
Benchmark command
vllm bench serve \
--backend vllm \
--base-url http://127.0.0.1:9002 \
--endpoint /v1/completions \
--model nvidia/Gemma-4-26B-A4B-NVFP4 \
--tokenizer nvidia/Gemma-4-26B-A4B-NVFP4 \
--dataset-name custom \
--dataset-path <EXACT_SYNTHETIC_DATASET> \
--custom-output-len 256 \
--skip-chat-template \
--disable-shuffle \
--num-prompts 256 \
--max-concurrency 16 \
--request-rate inf \
--seed 0 \
--ignore-eos \
--temperature 0 \
--percentile-metrics ttft,tpot,itl,e2el \
--metric-percentiles 50,90,95,99 \
--disable-tqdm \
--save-result \
--result-dir <local-path> \
--result-filename gemma4-26b-a4b-nvfp4-mtp1-tp1__baseline__serve-fixed-1k-256-v1__c16__r3__attempt1.json \
--num-warmups 16 \
--metadata campaign=runpile-rtx5090-nemotron-gemma4-specdecode-pilot-20260830-v2 config_id=gemma4-26b-a4b-nvfp4-mtp1-tp1 server_variant=baseline workload_key=serve-fixed-1k-256-v1 repetition=3 aggregate_only=true