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title: From Hugging Face to Amazon SageMaker Studio in one click
description: Hugging Face and Amazon SageMaker AI have launched a one-click integration that lets developers go directly from a model page on Hugging Face into SageMaker...
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# From Hugging Face to Amazon SageMaker Studio in one click

**[Hugging Face](https://daily.dev/sources/huggingface)** · 5 min read · 0 upvotes · 0 comments

## Summary

Hugging Face and Amazon SageMaker AI have launched a one-click integration that lets developers go directly from a model page on Hugging Face into SageMaker Studio. Clicking 'Customize on SageMaker AI' or 'Deploy on SageMaker AI' on a supported model page takes users straight to the relevant Studio workflow with the model pre-loaded. Three key improvements ship with this launch: deep links that preserve model context, pre-configured IAM permissions via a new managed policy (AmazonSageMakerModelCustomizationCoreAccess) covering SFT, DPO, RLVR, and RLAIF workflows, and GPU quota visibility directly in the instance selection UI. Previously, developers had to manually navigate the AWS console, create a domain, configure IAM roles, and check GPU quotas separately.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://huggingface.co/blog/amazon/one-click-to-sagemaker-studio>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#aws](https://daily.dev/tags/aws), [#deep-learning](https://daily.dev/tags/deep-learning), [#mlops](https://daily.dev/tags/mlops)

[View this post on daily.dev](https://daily.dev/posts/from-hugging-face-to-amazon-sagemaker-studio-in-one-click-xewevzcgb)

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