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Speed test matrix

LFM2.5-350M on H200 NVL 141GB

sglang · 0.5.6.post3.dev9265+g05c584c44 · BF165 contexts (8K–120K) × 8 concurrency levels (1–128) · prefill at 8K, 16K, 32K, 64K, 120K, 125K
by @keennaylmx dev importMeasured

Hardware

Type
Discrete GPU
GPU
H200 NVL
VRAM
141 GB
OS
linux

Engine

Engine
sglang
Version
0.5.6.post3.dev9265+g05c584c44
Quantization
BF16
Backend
cuda
Build
cuda-13.2
Commit
05c584c44fb0

Run

Served model
lfm
Revision
main
Decode test
Fixed duration
Prefill mode
Measured during decode warm-up
Time per measurement
30 s
Max output
4,096 tokens

Launch command

env SGLANG_ALLOW_OVERWRITE_LONGER_CONTEXT_LEN=1 "$HOME/env_h200-liquidai-sglang/bin/sglang" serve --model-path LiquidAI/LFM2.5-350M --served-model-name lfm --trust-remote-code --tp 1 --tool-call-parser lfm2 --context-length 128000 --mem-fraction-static 0.865156 --enable-metrics --host 0.0.0.0 --port 8000 --api-key <redacted>

Prefill

prompt tok/s by context length
8K context114.3K72 ms TTFT
16K context165.8K98 ms TTFT
32K context189.8K170 ms TTFT
64K context173.3K372 ms TTFT
120K context139K869 ms TTFT
125K context136K925 ms TTFT

Sustained decode

total tok/s · rows are context length, columns are simultaneous requests
Context1248163264128
8KLoopedLoopedLoopedLoopedLoopedLoopedLoopedLooped
16KLoopedLoopedLoopedLoopedLoopedLoopedLoopedLooped
32KLoopedLoopedLoopedLoopedLoopedLoopedLoopedLooped
64K571.9165 ms TTFT1,005.2171 ms TTFTLoopedLoopedLoopedLoopedLoopedOver capacity
120K511.5252 ms TTFT865.5345 ms TTFT1,334.7425 ms TTFT1,827.5828 ms TTFT2,213.71,489 ms TTFT2,584.45,234 ms TTFTOver capacityOver capacity

Looped: the model kept repeating the same text, so the benchmark discarded this measurement. 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
Prefill8K1Valid114.3K—72 ms——1——
Prefill16K1Valid165.8K—98 ms——1——
Prefill32K1Valid189.8K—170 ms——1——
Prefill64K1Valid173.3K—372 ms——1——
Prefill120K1Valid139K—869 ms——1——
Prefill125K1Valid136K—925 ms——1——
Sustained decode8K1Looped—————00—
Sustained decode8K2Looped—————00—
Sustained decode8K4Looped—————00—
Sustained decode8K8Looped—————00—
Sustained decode8K16Looped—————00—
Sustained decode8K32Looped—————00—
Sustained decode8K64Looped—————00—
Sustained decode8K128Looped—————00—
Sustained decode16K1Looped—————00—
Sustained decode16K2Looped—————00—
Sustained decode16K4Looped—————00—
Sustained decode16K8Looped—————00—
Sustained decode16K16Looped—————00—
Sustained decode16K32Looped—————00—
Sustained decode16K64Looped—————00—
Sustained decode16K128Looped—————00—
Sustained decode32K1Looped—————00—
Sustained decode32K2Looped—————00—
Sustained decode32K4Looped—————00—
Sustained decode32K8Looped—————00—
Sustained decode32K16Looped—————00—
Sustained decode32K32Looped—————00—
Sustained decode32K64Looped—————00—
Sustained decode32K128Looped—————00—
Sustained decode64K1Valid571.9584.9165 ms1.7 ms1.0417,15830.0 s
Sustained decode64K2Valid1,005.2514.5171 ms1.9 ms2.0830,15630.0 s
Sustained decode64K4Looped—————00—
Sustained decode64K8Looped—————00—
Sustained decode64K16Looped—————00—
Sustained decode64K32Looped—————00—
Sustained decode64K64Looped—————00—
Sustained decode64K128Over capacity————————
Sustained decode120K1Valid511.5530.9252 ms1.9 ms1.0415,34430.0 s
Sustained decode120K2Valid865.5449.8345 ms2.2 ms1.9625,96530.0 s
Sustained decode120K4Valid1,334.7343.4425 ms2.9 ms3.9840,04130.0 s
Sustained decode120K8Valid1,827.5233.3828 ms4.3 ms7.9854,82030.0 s
Sustained decode120K16Valid2,213.7142.71,489 ms7.0 ms15.81666,40430.0 s
Sustained decode120K32Valid2,584.484.95,234 ms11.8 ms32.0077,53530.0 s
Sustained decode120K64Over capacity————————
Sustained decode120K128Over capacity————————

Looped: the model kept repeating the same text, so the benchmark discarded this measurement. Over capacity: not run because this many requests at this context would exceed the server's KV cache.