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# Parallel All the Way Down: Beyond Single-Token Generation with Speculative Decoding

**[vLLM](https://daily.dev/sources/vllm)** · 6 min read · 0 upvotes · 0 comments

## Summary

vLLM and the Speculators library now support three parallel drafting algorithms — P-EAGLE, DFlash, and DSpark — that overcome the sequential bottleneck of traditional speculative decoding. Unlike auto-regressive drafters (e.g., EAGLE-3), these algorithms predict an entire block of candidate tokens in a single forward pass, decoupling drafting latency from speculation length. P-EAGLE uses block sparsification during training; DFlash injects verifier hidden states into the speculator's KV-cache via block diffusion; DSpark adds an autoregressive correction head and a confidence head to reduce wasted verification compute. All three are open-source, production-ready in vLLM, and preserve output distribution exactly via rejection sampling.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://vllm.ai/blog/2026-07-28-speculators-parallel-drafting>

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---

Tags: [#llm](https://daily.dev/tags/llm), [#ai-inference](https://daily.dev/tags/ai-inference), [#vllm](https://daily.dev/tags/vllm)

[View this post on daily.dev](https://daily.dev/posts/parallel-all-the-way-down-beyond-single-token-generation-with-speculative-decoding-yzx2fn2fo)

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