---
title: "Parallelize speculative decoding with P-EAGLE on Amazon SageMaker AI"
slug: "aws-bringt-p-eagle-in-sagemaker-schnellere-ki-inferenz-ohne-drafter-basteln"
date: 2026-06-16
category: tech-pub
tags: [amazon]
language: en
sources_count: 1
featured: false
publisher: AInauten News
url: https://news.ainauten.com/en/story/aws-bringt-p-eagle-in-sagemaker-schnellere-ki-inferenz-ohne-drafter-basteln
---

# Parallelize speculative decoding with P-EAGLE on Amazon SageMaker AI

**Published**: 2026-06-16 | **Category**: tech-pub | **Sources**: 1

---

## TL;DR

- AWS is bringing P-EAGLE into SageMaker JumpStart, letting compatible models run as real-time endpoints with a pre-trained drafter head and no custom containers or manual drafter training.

---

## Summary

- AWS is bringing P-EAGLE into SageMaker JumpStart, letting compatible models run as real-time endpoints with a pre-trained drafter head and no custom containers or manual drafter training.
- Launch support covers GPT-OSS-120B, GPT-OSS-20B, Qwen3-Coder-30B-A3B-Instruct, and Gemma-4-31B-IT. The walkthrough uses Qwen3-Coder.
- P-EAGLE drafts multiple speculative tokens in parallel in one forward pass instead of generating them sequentially like EAGLE-3. It is enabled through SM_VLLM_SPECULATIVE_CONFIG with parallel_drafting: true.
- AWS reports up to 1.69x higher throughput than EAGLE-3 for Qwen3-Coder on NVIDIA B200 with FP8, plus much stronger output-token rates than standard inference.

---

## Why it matters

AWS is bringing P-EAGLE into SageMaker JumpStart, letting compatible models run as real-time endpoints with a pre-trained drafter head and no custom containers or manual drafter training.

---

## Key Points

- AWS is bringing P-EAGLE into SageMaker JumpStart, letting compatible models run as real-time endpoints with a pre-trained drafter head and no custom containers or manual drafter training.
- Launch support covers GPT-OSS-120B, GPT-OSS-20B, Qwen3-Coder-30B-A3B-Instruct, and Gemma-4-31B-IT. The walkthrough uses Qwen3-Coder.
- P-EAGLE drafts multiple speculative tokens in parallel in one forward pass instead of generating them sequentially like EAGLE-3. It is enabled through SM_VLLM_SPECULATIVE_CONFIG with parallel_drafting: true.
- AWS reports up to 1.69x higher throughput than EAGLE-3 for Qwen3-Coder on NVIDIA B200 with FP8, plus much stronger output-token rates than standard inference.

---

## Nauti's Take

Speculative decoding used to be where teams slipped into homegrown inference witchcraft. AWS is moving the drafter into the paved SageMaker path. For builders, that means less container tinkering and more tokens per dollar. The catch: your model has to be on the supported list.

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## FAQ

**Q:** What is Parallelize speculative decoding with P-EAGLE on Amazon SageMaker AI about?

**A:** - AWS is bringing P-EAGLE into SageMaker JumpStart, letting compatible models run as real-time endpoints with a pre-trained drafter head and no custom containers or manual drafter training.

**Q:** Why does it matter?

**A:** AWS is bringing P-EAGLE into SageMaker JumpStart, letting compatible models run as real-time endpoints with a pre-trained drafter head and no custom containers or manual drafter training.

**Q:** What are the key takeaways?

**A:** AWS is bringing P-EAGLE into SageMaker JumpStart, letting compatible models run as real-time endpoints with a pre-trained drafter head and no custom containers or manual drafter training.. Launch support covers GPT-OSS-120B, GPT-OSS-20B, Qwen3-Coder-30B-A3B-Instruct, and Gemma-4-31B-IT. The walkthrough uses Qwen3-Coder.. P-EAGLE drafts multiple speculative tokens in parallel in one forward pass instead of generating them sequentially like EAGLE-3. It is enabled through SM_VLLM_SPECULATIVE_CONFIG with parallel_drafting: true.

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## Related Topics

- [amazon](https://news.ainauten.com/en/tag/amazon)

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## Sources

- [Parallelize speculative decoding with P-EAGLE on Amazon SageMaker AI](https://aws.amazon.com/blogs/machine-learning/parallelize-speculative-decoding-with-p-eagle-on-amazon-sagemaker-ai/) - AWS Machine Learning Blog

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## About This Article

This article is a synthesis of 1 sources, curated and summarized by AInauten News. We aggregate AI news from trusted sources and provide bilingual (German/English) coverage.

**Publisher**: [AInauten](https://www.ainauten.com) | **Site**: [news.ainauten.com](https://news.ainauten.com)

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*Last Updated: 2026-06-18*