DFlash drafts whole token blocks in parallel to fix speculative decoding bottleneck
Lianhuiq · x · 2026-11-06
- In a talk takeaway, zhijianliu argues that drafting one token at a time has itself become the latency bottleneck in speculative decoding.
- DFlash instead drafts an entire block of tokens in parallel, which allows a deeper and more accurate drafter while keeping latency low; the target model still verifies every token.
- The team at inco.ai is building on this work to speed up inference for AI applications and agents.
Related event: DFlash Parallel Drafting Breaks Speculative Decoding Bottleneck(2 posts)→
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