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Speed test matrix

internlm_internlm3-8b-instruct-autoround-int8-gs128-sym on RTX 3090 24GB

vllm · 0.32.0 · AutoRound INT8 W8A16 gs1283 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
AMD Ryzen 9 7900X (12C)
RAM
32 GB
OS
Ubuntu 24.04.5

Engine

Engine
vllm
Version
0.32.0
Quantization
AutoRound INT8 W8A16 gs128
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), 350 W limit (VBIOS max), PCIe Gen4 x16 | AMD Ryzen 9 7900X 12C | 32 GB DDR5 | Ubuntu 24.04.5, NVIDIA driver 595.99.02
vllm serve fbaldassarri/internlm_internlm3-8b-instruct-autoround-int8-gs128-sym --max-model-len 32768 --gpu-memory-utilization 0.94 --max-num-seqs 128 --enable-prefix-caching --trust-remote-code --hf-overrides {"quantization_config":{"quant_method":"gptq","bits":8,"group_size":128,"sym":true,"desc_act":false,"lm_head":false}}

Prefill

prompt tok/s by context length
8K context4,5412,208 ms TTFT
16K context3,7655,278 ms TTFT
24K context3,2239,219 ms TTFT

Sustained decode

total tok/s · rows are context length, columns are simultaneous requests
Context1248163264128
078.433 ms TTFT156.625 ms TTFT308.333 ms TTFT594.937 ms TTFT1,107.261 ms TTFTOver capacityOver capacityOver capacity
16K70.471 ms TTFT132.7111 ms TTFT246.0183 ms TTFT412.8279 ms TTFTOver capacityOver capacityOver capacityOver capacity
24K66.695 ms TTFT124.3160 ms TTFT223.8240 ms TTFTOver 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
Prefill8K1Valid4,541.0—2,208 ms——1——
Prefill16K1Valid3,765.0—5,278 ms——1——
Prefill24K1Valid3,223.0—9,219 ms——1——
Sustained decode01Valid78.478.433 ms12.8 ms1.002,35030.0 s
Sustained decode02Valid156.678.425 ms12.8 ms2.004,69830.0 s
Sustained decode04Valid308.377.433 ms12.9 ms4.009,24830.0 s
Sustained decode08Valid594.975.137 ms13.3 ms8.0017,84730.0 s
Sustained decode016Valid1,107.270.261 ms14.2 ms16.0033,20030.0 s
Sustained decode032Over capacity————————
Sustained decode064Over capacity————————
Sustained decode0128Over capacity————————
Sustained decode16K1Valid70.470.471 ms14.2 ms1.002,11030.0 s
Sustained decode16K2Valid132.766.4111 ms15.1 ms2.003,98030.0 s
Sustained decode16K4Valid246.061.6183 ms16.2 ms4.007,38030.0 s
Sustained decode16K8Valid412.851.5279 ms19.4 ms8.0012,37630.0 s
Sustained decode16K16Over capacity————————
Sustained decode16K32Over capacity————————
Sustained decode16K64Over capacity————————
Sustained decode16K128Over capacity————————
Sustained decode24K1Valid66.666.695 ms15.0 ms1.001,99830.0 s
Sustained decode24K2Valid124.362.2160 ms16.1 ms2.003,72830.0 s
Sustained decode24K4Valid223.856.0240 ms17.8 ms4.006,71230.0 s
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.