Definition

Speculative Decoding

Speculative Decoding is a latency optimization technique that accelerates LLM generation. A smaller, faster drafting model proposes multiple candidate tokens, which are then validated in parallel by the larger target model in a single forward pass.

Frequently Asked Questions

Does speculative decoding alter the quality of the output?▼

No, speculative decoding mathematically guarantees the exact same token probability distribution as the target model alone.

What speedup is expected from speculative decoding?▼

It typically increases token generation speed by 2x to 3x depending on the alignment between the draft and target models.

Quick Facts

CategoryModel Training
Key ApplicationAPI throughput optimization, interactive chatbot responses, and inference cost reduction.

Coverage Trend12 Weeks

12w agoToday

Related AI Terms

Distillation Inference Token

Speculative Decoding Media Coverage & Intelligence

Latent SpaceJun 17, 2026

[AINews] GLM-5.2: the top Frontend Coding model in the world, IndexShare for Speculative Decoding

We have a new top open model in the world!

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AWS ML BlogJun 16, 2026

Parallelize speculative decoding with P-EAGLE on Amazon SageMaker AI

This post walks you through how to use P-EAGLE directly within Amazon SageMaker AI. It will demonstrate how to select a compatible model from the SageMaker Jump

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