R.5

Glossary

This page defines each term the manual uses, with the matching SGLang term.

Use this page when a section uses a term you do not know.

TermMeaningSGLang term
API serverthe process that serves HTTP, tokenizes, and streams the answerthe tokenizer manager in the main process
async schedulingplanning the next step while the GPU runs the current onethe overlap scheduler
attention backendthe kernel family that computes attentionthe attention backend
blocka fixed group of 16 tokens in the KV cachea page, with a page size of 1 by default
block poolall KV blocks, allocated at startupthe KV pool
chunked prefillsplitting a long prompt across stepschunked prefill
clock floorthe lowest median SM clock that our sweep tool accepts for a run, below which it repeats the runnot an SGLang term
CUDA grapha recorded sequence of kernel launches that replays with one calla CUDA graph
engine corethe process that runs the scheduler and the KV cache managerthe scheduler process
fixed poola KV pool that we set by hand with --num-gpu-blocks-override, so that two engines get the same roomnot an SGLang term
ITLinter-token latency, the time between two tokens of one streamITL
kneethe concurrency where latency starts to rise fast while the output stops risingnot an SGLang term
KV cachethe keys and values of past tokens, kept for the next stepsthe KV cache
KV connectorthe interface that loads and saves KV blocks outside the GPUthe disaggregation transfer backend and HiCache storage
Model Runner V2the newer code that builds batches and runs the forward pass in a workerthe model runner
preemptionstopping a running request to free its blocks, then computing it againretraction
prefix cachingreusing the KV blocks of a matching prompt prefixthe radix cache
reasoning parserthe server option that moves the thinking of a reasoning model out of the answer textthe reasoning parser
throttledrunning below the full clock because the GPU is too hot or shares power with other worknot an SGLang term
token budgetthe most tokens the scheduler gives out in one stepthe chunked prefill size and the running request limit together
TPOTtime per output token, the mean time for each output token of a requestTPOT
TTFTtime to first tokenTTFT
wavesour workload of 64 prompts at 16 users, with a length ratio that sets how much the lengths varynot an SGLang term
workerthe process that holds the weights for one GPUthe TP worker

vLLM 0.31.0 · db9527a · 2026-10-05 · Edition 2026.10