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Speed test matrix

Tess-4-27B-NVFP4 on RTX 3090 24GB

vllm · 0.32.0 · NVFP43 contexts (0–24K) × 8 concurrency levels (1–128) · prefill at 8K, 16K, 24K
by @Sandbergllm-inference-bench v0.8.0Measured

Hardware

Type
Discrete GPU
GPU
RTX 3090
VRAM
24 GB
CPU
Intel Core i7-9700K (8C)
RAM
32 GB
OS
Ubuntu 24.04.5

Engine

Engine
vllm
Version
0.32.0
Quantization
NVFP4
Backend
cuda
Build
vllm/vllm-openai:v0.32.0-x86_64

Run

Served model
bench
Revision
main
Decode test
Fixed duration
Prefill mode
Measured during decode warm-up
Time per measurement
30 s
Max output
8,192 tokens

Launch command

# Untuned out-of-the-box baseline. Spec decode: none. KV cache: fp8
# 1x RTX 3090 24GB (Zagitta/gpu-unlock), 420 W limit, PCIe Gen3 x16 | Intel Core i7-9700K 8C | 32 GB DDR4 | Ubuntu 24.04.5, NVIDIA driver 580.178.04
vllm serve migtissera/Tess-4-27B-NVFP4 --max-model-len 32768 --gpu-memory-utilization 0.94 --max-num-seqs 28 --enable-prefix-caching --trust-remote-code --language-model-only --kv-cache-dtype fp8 --max-cudagraph-capture-size 16

Prefill

prompt tok/s by context length
8K context2,1103,881 ms TTFT
16K context2,0078,082 ms TTFT
24K context1,91112,690 ms TTFT

Sustained decode

total tok/s · rows are context length, columns are simultaneous requests
Context1248163264128
043.285 ms TTFT84.8183 ms TTFT163.7223 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacity
16K41.8353 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity
24K41.3505 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity

Over capacity: not run because this many requests at this context would exceed the server's KV cache.

TTFT is measured after the benchmark warms the server's prompt cache, so it mostly excludes prefill.

All measurements

Latencies are medians. Total tok/s is output across all simultaneous requests.
PhaseContextRequests at onceStatusTotal tok/sPer request tok/sTTFTTime between tokensAverage active requestsCompleted requestsOutput tokensMeasured for
Prefill8K1Valid2,110.0—3,881 ms——1——
Prefill16K1Valid2,007.0—8,082 ms——1——
Prefill24K1Valid1,911.0—12,690 ms——1——
Sustained decode01Valid43.243.285 ms23.2 ms1.001,29430.0 s
Sustained decode02Valid84.842.4183 ms23.6 ms2.002,54230.0 s
Sustained decode04Valid163.740.9223 ms24.4 ms4.004,90830.0 s
Sustained decode08Over capacity————————
Sustained decode016Over capacity————————
Sustained decode032Over capacity————————
Sustained decode064Over capacity————————
Sustained decode0128Over capacity————————
Sustained decode16K1Valid41.841.8353 ms23.9 ms1.001,25430.0 s
Sustained decode16K2Over capacity————————
Sustained decode16K4Over capacity————————
Sustained decode16K8Over capacity————————
Sustained decode16K16Over capacity————————
Sustained decode16K32Over capacity————————
Sustained decode16K64Over capacity————————
Sustained decode16K128Over capacity————————
Sustained decode24K1Valid41.341.3505 ms24.2 ms1.001,23830.0 s
Sustained decode24K2Over capacity————————
Sustained decode24K4Over capacity————————
Sustained decode24K8Over capacity————————
Sustained decode24K16Over capacity————————
Sustained decode24K32Over capacity————————
Sustained decode24K64Over capacity————————
Sustained decode24K128Over capacity————————

Over capacity: not run because this many requests at this context would exceed the server's KV cache.