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Speed test matrix

granite-4.2-8b-fp8 on RTX 3090 24GB

vllm · 0.32.0 · FP84 contexts (0–64K) × 8 concurrency levels (1–128) · prefill at 8K, 16K, 32K, 64K
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
FP8
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
# 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 ibm-granite/granite-4.2-8b-fp8 --max-model-len 73728 --gpu-memory-utilization 0.94 --max-num-seqs 128 --enable-prefix-caching --trust-remote-code

Prefill

prompt tok/s by context length
8K context5,9711,380 ms TTFT
16K context5,1433,172 ms TTFT
32K context4,0458,027 ms TTFT
64K context2,81523,011 ms TTFT

Sustained decode

total tok/s · rows are context length, columns are simultaneous requests
Context1248163264128
083.125 ms TTFT159.732 ms TTFT304.335 ms TTFT554.040 ms TTFTOver capacityOver capacityOver capacityOver capacity
16K66.4106 ms TTFT111.695 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity
32K55.4124 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity
64K41.4259 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
Prefill8K1Valid5,971.0—1,380 ms——1——
Prefill16K1Valid5,143.0—3,172 ms——1——
Prefill32K1Valid4,045.0—8,027 ms——1——
Prefill64K1Valid2,815.0—23,011 ms——1——
Sustained decode01Valid83.183.525 ms12.0 ms1.002,49330.0 s
Sustained decode02Valid159.780.532 ms12.4 ms2.004,79030.0 s
Sustained decode04Valid304.377.235 ms13.0 ms4.009,12830.0 s
Sustained decode08Valid554.070.940 ms14.1 ms8.0016,62130.0 s
Sustained decode016Over capacity————————
Sustained decode032Over capacity————————
Sustained decode064Over capacity————————
Sustained decode0128Over capacity————————
Sustained decode16K1Valid66.466.5106 ms15.0 ms1.001,99030.0 s
Sustained decode16K2Valid111.655.995 ms17.9 ms2.003,34830.0 s
Sustained decode16K4Over capacity————————
Sustained decode16K8Over capacity————————
Sustained decode16K16Over capacity————————
Sustained decode16K32Over capacity————————
Sustained decode16K64Over capacity————————
Sustained decode16K128Over capacity————————
Sustained decode32K1Valid55.455.5124 ms18.0 ms1.001,66130.0 s
Sustained decode32K2Over capacity————————
Sustained decode32K4Over capacity————————
Sustained decode32K8Over capacity————————
Sustained decode32K16Over capacity————————
Sustained decode32K32Over capacity————————
Sustained decode32K64Over capacity————————
Sustained decode32K128Over capacity————————
Sustained decode64K1Valid41.441.5259 ms24.1 ms1.001,24230.0 s
Sustained decode64K2Over capacity————————
Sustained decode64K4Over capacity————————
Sustained decode64K8Over capacity————————
Sustained decode64K16Over capacity————————
Sustained decode64K32Over capacity————————
Sustained decode64K64Over capacity————————
Sustained decode64K128Over capacity————————

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