- Request throughput
- 0.35 req/s
- Output throughput
- 88.8 tok/s
- p95 TTFT
- 1491.6 ms
- p95 TPOT
- 42.26 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=0 vllm serve RedHatAI/gemma-4-31B-it-NVFP4 \
--revision 5df75ccad9b74546f5be758a2a68acc2e16bbc9b \
--port 9000 \
--host 127.0.0.1 \
--dtype bfloat16 \
--gpu-memory-utilization 0.92 \
--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 \
--enforce-eager \
--served-model-name RedHatAI/gemma-4-31B-it-NVFP4 \
--disable-uvicorn-access-log \
--language-model-onlyRun details
- Workload
- 8192 → 256
- Methodology
- closed loop · streaming
- Test load
- 4 concurrent requests
- Endpoint
openai-compatible-completions- Requests
- 8 unmeasured warmups per invocation after one readiness request.
- Dataset
sha256=56e8e142448f2b694160f4a9a9baa643f7a421657883703a11779fea2a1f8183 generator=runpile-sweeps-tokenizer-verified-jsonl synthetic=true generator_revision=f08cb0bccfbd93f7ea4cee52d5b921a8250619c0ed7abd572cd2159a829f7d28 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
- Runtime configuration
dtype=bfloat16 max_num_seqs=32 enforce_eager=true max_model_len=9216 kv_cache_dtype=fp8 prefix_caching=false chunked_prefill=true expert_parallel=false async_scheduling=true gpu_memory_utilization=0.92 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 publisher=Red Hat AI checkpoint=compressed-tensors- Model revision
5df75ccad9b74546f5be758a2a68acc2e16bbc9b- Evidence
- Raw benchmark evidence attached · eligible and ranked
- Published
- by anonymous-EVjB2S
Benchmark command
vllm bench serve \
--backend vllm \
--base-url http://127.0.0.1:9000 \
--endpoint /v1/completions \
--model RedHatAI/gemma-4-31B-it-NVFP4 \
--tokenizer RedHatAI/gemma-4-31B-it-NVFP4 \
--dataset-name custom \
--dataset-path <EXACT_SYNTHETIC_DATASET> \
--custom-output-len 256 \
--skip-chat-template \
--disable-shuffle \
--num-prompts 128 \
--max-concurrency 4 \
--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 gemma4-31b-nvfp4-tp1__enforce-eager__serve-fixed-8k-256-v1__c4__r1__attempt1.json \
--num-warmups 8 \
--metadata campaign=runpile-rtx5090-remaining-models-20260827-2 config_id=gemma4-31b-nvfp4-tp1 server_variant=enforce-eager workload_key=serve-fixed-8k-256-v1 repetition=1 aggregate_only=true