vLLM explains encoder disaggregation for scaling multimodal serving
AIvLLM's blog explains how separating the multimodal encoder into its own instance, using EPD disaggregation, changes serving. Metadata-only requests let downstream instances skip media preprocessing and receive embeddings through connectors.
AIWhy it matters.
The post explains how separating the encoder stage into metadata-only requests and dedicated execution changes multimodal serving, with measured throughput and latency results.
Source details
vLLM Blog · Inferact, InferMatrix, and IBM · vllm.aiPublished · added here
Original title: Encoder Disaggregation in vLLM: Scaling Multimodal Serving with EPD