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Serving Masked Diffusion LLMs: Characterization and Design Principles from Real Hardware

This story is from 2026-08-26. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2608.23807v1 Announce Type: new Abstract: Masked diffusion language models (dLLMs) can in principle generate text faster than autoregressive (AR) models, since they denoise many tokens at once. Recent systems have begun building serving infrastructure for dLLMs, but none first measure how the…

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  1. 2026-08-26 04:00 · arXiv cs.AI
    Serving Masked Diffusion LLMs: Characterization and Design Principles from Real Hardware

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