---
format: "aidr-story-markdown/v1"
id: "c7c1adfef40b0ae12f9889ba34984f167d845564c5cdf44b00fa1e224d67cb0f"
canonical_url: "https://aidr.today/c7c1adfe?lang=en"
title: "OpenFold3 on Amazon SageMaker JumpStart: Predict biomolecular structures"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
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published_at: "2026-11-13T21:53:40.000Z"
category: "Tools"
topics: ["amazon","inference","devtools"]
source_urls: ["https://aws.amazon.com/blogs/machine-learning/openfold3-on-amazon-sagemaker-jumpstart-predict-biomolecular-structures/"]
summary: "OpenFold3-preview can be deployed from Amazon SageMaker JumpStart to predict 3D structures of proteins, DNA, RNA, and ligand complexes in an AWS account. The deployment supports asynchronous inference, multi-GPU parallelism, and scaling to zero to reduce cost."
---

# OpenFold3 on Amazon SageMaker JumpStart: Predict biomolecular structures

> [Open the canonical story](<https://aidr.today/c7c1adfe?lang=en>)

**Published:** 2026-11-13T21:53:40.000Z
**Category:** Tools
**Topics:** amazon, inference, devtools

## Summary

OpenFold3\-preview can be deployed from Amazon SageMaker JumpStart to predict 3D structures of proteins, DNA, RNA, and ligand complexes in an AWS account\. The deployment supports asynchronous inference, multi\-GPU parallelism, and scaling to zero to reduce cost\.

## Sources

- [Story source](<https://aws.amazon.com/blogs/machine-learning/openfold3-on-amazon-sagemaker-jumpstart-predict-biomolecular-structures/>)