Serving masked diffusion LLMs: characterization under real concurrent load and design principles for deployment
Read the original at arxiv.org→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...
Original headline: "Serving Masked Diffusion LLMs: Characterization and Design Principles from Real Hardware"
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- Aug 26, 04:00 UTC arXiv cs.AI lead source Serving Masked Diffusion LLMs: Characterization and Design Principles from Real Hardware