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canonical_url: "https://aidr.today/08577d15?lang=en"
title: "Announcing new ways to customize models with SageMaker AI, without managing GPUs"
lang: "en"
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available_langs: ["en","vi"]
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published_at: "2026-10-22T18:00:04.000Z"
category: "Tools"
topics: ["amazon","llm","devtools"]
source_urls: ["https://aws.amazon.com/blogs/machine-learning/announcing-new-ways-to-customize-models-with-sagemaker-ai-without-managing-gpus/"]
summary: "Amazon SageMaker AI serverless model customization now includes training sessions, generally available today, allowing users to write and coordinate their own post-training loop while SageMaker AI handles GPU allocation, distributed execution, fault recovery, and checkpoint storage."
---

# Announcing new ways to customize models with SageMaker AI, without managing GPUs

> [Open the canonical story](<https://aidr.today/08577d15?lang=en>)

**Published:** 2026-10-22T18:00:04.000Z
**Category:** Tools
**Topics:** amazon, llm, devtools

## Summary

Amazon SageMaker AI serverless model customization now includes training sessions, generally available today, allowing users to write and coordinate their own post\-training loop while SageMaker AI handles GPU allocation, distributed execution, fault recovery, and checkpoint storage\.

## Sources

- [Story source](<https://aws.amazon.com/blogs/machine-learning/announcing-new-ways-to-customize-models-with-sagemaker-ai-without-managing-gpus/>)