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slug: "what-is-speculative-decoding-70-minute-read-5f6242"
title: "What is Speculative Decoding? (70 minute read)"
description: "AstraBlog published a long technical explainer by Aleksandr Samarin on speculative decoding, framing it as a response to memory-bound autoregressive generation."
retrieval_nugget: "AstraBlog published a long technical explainer by Aleksandr Samarin on speculative decoding, framing it as a response to memory-bound autoregressive generation."
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verification_level: "source-linked"
signal_type: "research"
source_platform: "astralord.github.io"
topics: []
entities: ["AstraBlog","Aleksandr Samarin","EAGLE-3","DFlash","DSpark"]
related_patterns: []
source_url: "https://astralord.github.io/posts/speculative-decoding-the-art-of-guessing-well"
source_urls: ["https://astralord.github.io/posts/speculative-decoding-the-art-of-guessing-well"]
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status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
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---

# What is Speculative Decoding? (70 minute read)

## Retrieval answer

AstraBlog published a long technical explainer by Aleksandr Samarin on speculative decoding, framing it as a response to memory-bound autoregressive generation.

AstraBlog published a long technical explainer by Aleksandr Samarin on speculative decoding, framing it as a response to memory-bound autoregressive generation. It explains how a drafter proposes multiple tokens for a target model to verify in one pass, and how acceptance rules preserve the target distribution during sampling. The article also surveys attached drafters including EAGLE-3, multi-token prediction, DFlash, and DSpark. It presents a conceptual and architectural account, not a new benchmark or a claim that every deployment will see a particular speedup.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

## Continue in the graph

Next records for an agent, linked to their Markdown twins. Replace `.md` with `.json` for structured fields, including `next_reads`.

- collection: [Raw Signals](https://newruntime.com/signals.json): Open every source-linked raw signal.
- collection: [Source Ledger](https://newruntime.com/source-ledger.json): Inspect the public source evidence graph.
- whole graph: [discovery graph](https://newruntime.com/discovery-graph.json) (typed nodes and edges) and [site index](https://newruntime.com/site-index.md)
