vLLM Splits Multimodal AI Into Three Stages, Cutting Latency by 13%
vLLM's updated encoder-prefill-decode disaggregation cuts P90 time-to-first-token by 44-47% on multimodal workloads through metadata-only requests and cross-encoder caching.
Read the full story at AlphaSignal ↗
Timeline · 1 report
- 2026-11-11 10:03 · AlphaSignal
vLLM Splits Multimodal AI Into Three Stages, Cutting Latency by 13%