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M* Runtime Unifies Serving for Composite Multimodal Models

Source
Stanford AI Lab
Date
Stanford AI Lab@StanfordAILab

Modern multimodal models aren't a single decode loop anymore; they're composite. M* is one runtime that serves them all, and it matches or beats every specialized system: up to 2.7× on omni TTS, 12.5× on world-model rollouts. Learn more here: https://t.co/uWGIcXiB3X

Terms in this piece · Glossary
  • inferenceRunning a trained model to get answers — the phase where AI is actually used, as opposed to trained.
  • multimodalA model that works with more than text — reading images, audio, or video, and sometimes generating them too.
Why it matters

A single runtime that handles composite pipelines efficiently could simplify serving infrastructure for teams building multimodal agents.

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