---
title: "Amazon SageMaker AI Async Inference now supports inline request payloads"
slug: "aws-spart-sagemaker-nutzern-den-s3-umweg-bei-kleinen-async-inference-requests"
date: 2026-06-17
category: tech-pub
tags: [amazon]
language: en
sources_count: 1
featured: false
publisher: AInauten News
url: https://news.ainauten.com/en/story/aws-spart-sagemaker-nutzern-den-s3-umweg-bei-kleinen-async-inference-requests
---

# Amazon SageMaker AI Async Inference now supports inline request payloads

**Published**: 2026-06-17 | **Category**: tech-pub | **Sources**: 1

---

## TL;DR

- AWS announced inline payload support for Amazon SageMaker AI Async Inference on June 17, 2026, letting small inference inputs travel directly in the InvokeEndpointAsync request body.

---

## Summary

- AWS announced inline payload support for Amazon SageMaker AI Async Inference on June 17, 2026, letting small inference inputs travel directly in the InvokeEndpointAsync request body.
- For eligible jobs, teams no longer need to upload every input to Amazon S3 first and then pass an InputLocation reference into the async endpoint.
- The raw inline payload limit is 128,000 bytes. Body and InputLocation are mutually exclusive, while inference results still write to the configured S3 OutputLocation.
- AWS frames this as a cleaner path for JSON prompts and structured data. Images, audio, large documents, or audit-ready replay workflows still belong in S3.

---

## Why it matters

AWS announced inline payload support for Amazon SageMaker AI Async Inference on June 17, 2026, letting small inference inputs travel directly in the InvokeEndpointAsync request body.

---

## Key Points

- AWS announced inline payload support for Amazon SageMaker AI Async Inference on June 17, 2026, letting small inference inputs travel directly in the InvokeEndpointAsync request body.
- For eligible jobs, teams no longer need to upload every input to Amazon S3 first and then pass an InputLocation reference into the async endpoint.
- The raw inline payload limit is 128,000 bytes. Body and InputLocation are mutually exclusive, while inference results still write to the configured S3 OutputLocation.
- AWS frames this as a cleaner path for JSON prompts and structured data. Images, audio, large documents, or audit-ready replay workflows still belong in S3.

---

## Nauti's Take

This is not a shiny model upgrade, it is the plumbing fix production teams actually feel. If you run lots of small async inference jobs, you just lost a pile of S3 ceremony, IAM clutter, and stale input object cleanup.

---


## FAQ

**Q:** What is Amazon SageMaker AI Async Inference now supports inline request payloads about?

**A:** - AWS announced inline payload support for Amazon SageMaker AI Async Inference on June 17, 2026, letting small inference inputs travel directly in the InvokeEndpointAsync request body.

**Q:** Why does it matter?

**A:** AWS announced inline payload support for Amazon SageMaker AI Async Inference on June 17, 2026, letting small inference inputs travel directly in the InvokeEndpointAsync request body.

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

**A:** AWS announced inline payload support for Amazon SageMaker AI Async Inference on June 17, 2026, letting small inference inputs travel directly in the InvokeEndpointAsync request body.. For eligible jobs, teams no longer need to upload every input to Amazon S3 first and then pass an InputLocation reference into the async endpoint.. The raw inline payload limit is 128,000 bytes. Body and InputLocation are mutually exclusive, while inference results still write to the configured S3 OutputLocation.

---

## Related Topics

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

---

## Sources

- [Amazon SageMaker AI Async Inference now supports inline request payloads](https://aws.amazon.com/blogs/machine-learning/amazon-sagemaker-ai-async-inference-now-supports-inline-request-payloads/) - AWS Machine Learning Blog

---

## 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)

---

*Last Updated: 2026-06-19*