Tag: Vision Language Model

2 articles

• Multimodal LLM Serving in Production: Taming Vision Request Tail Latency with Parallel Media Decode, Encoder Cache, and Encoder Disaggregation

  After deploying multimodal LLMs, vision request tail latency often spikes due to image download, decode, vision encoding, and repeated processing. This article combines Dynamo, vLLM, and EPD practices to provide production governance methods including media decode offloading, Encoder Cache, dedicated Encoder Workers, input budgets, and stage-level observability.

  08/29/2026 Multimodal LLM Serving / Vision Language Model / Encoder Cache / Inference Optimization / Tail Latency Governance

• LLM Document Vision Extraction in Production: Stabilizing PDF Parsing Quality with Layout Chunking and Confidence Auditing

  A practical guide to using multimodal LLMs for PDF and scanned document parsing in production. Covers layout chunking, table extraction, confidence auditing, human review, and launch validation to reduce hallucinations, missed fields, and misaligned parsing for complex documents like contracts, financial reports, and work orders.

  07/04/2026 llm / multimodal / document-ai / pdf-parsing / production / rag / layout-analysis / vision-language-model