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Research Cloud & Data Platforms · Research Infrastructure

Amazon SageMaker

By Amazon Web Services

Machine-learning development platform

Amazon SageMaker is a machine-learning development platform from Amazon Web Services.

Machine-learning development platform
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Overview

Amazon SageMaker is a machine-learning development platform from Amazon Web Services.

Information checked against an official source; not a hands-on test. Source · Last reviewed: 10/09/2026, 19:59:04

Key Features

  • Machine-learning development platform

Academic Context & Research Evidence

Biological & Workflow Fit

Biological Application
Provider-documented protein folding workflows
Research Workflow
Run protein-folding workflows in the cloud
Compute & Hardware
Workflow-specific cloud instances, storage and orchestration; verify current instance availability and dependencies.
Licensing & Academic Use
AWS service terms and each model/data licence must be evaluated separately.
Documented Evidence
View validation publication / source ↗

Cite this Tool

Use this citation format when referencing Amazon SageMaker in scientific publications and benchmark papers.

@software{amazon_sagemaker_2026,
  title = {{Amazon SageMaker}},
  author = {{Amazon Web Services}},
  year = {2026},
  url = {https://aws.amazon.com/sagemaker/},
  note = {Indexed on aibioatlas - AI for Biology and Drug Discovery}
}

Peer-Reviewed Literature & Preprints

Live scientific citations streamed from Europe PMC and PubMed for Amazon SageMaker.

⏳ Fetching real-time literature from Europe PMC & PubMed...

Technical / Product Information

Missing values mean the catalog has no recorded information. They do not mean a feature is absent.

Entry typeSoftware / platform
Access modeProvider-specific terms
AI roleAI / computational workflow
Input dataNot recorded
Output dataNot recorded
Licence conditionsAWS service terms and each model/data licence must be evaluated separately.
Commercial eligibilityNot independently confirmed
Compute requirementsWorkflow-specific cloud instances, storage and orchestration; verify current instance availability and dependencies.
ValidationNot recorded
TypeMachine-learning development platform
Intended useNot recorded
CompatibilityNot recorded
ManufacturerAmazon Web Services
Biological applicationProvider-documented protein folding workflows
Research workflowRun protein-folding workflows in the cloud
Evidence levelProvider implementation example
Integration evidencehttps://aws.amazon.com/blogs/machine-learning/build-protein-folding-workflows-to-accelerate-drug-discovery-on-amazon-sagemaker/
Laboratory handoffEditorial next step: choose experimental validation based on the biological question. No automatic laboratory handoff is documented here.
AvailabilityCurrent availability and regional access not confirmed — check provider.
Price / accessPrice not recorded — check supplier

Research fit & compatibility

Run protein-folding workflows in the cloud

Provider implementation example · AWS documents AlphaFold2 and OpenFold workflows on SageMaker. This evidence does not establish AlphaFold 3 compatibility.

Compute
Workflow-specific cloud instances, storage and orchestration; verify current instance availability and dependencies.
Licence & commercial use
AWS service terms and each model/data licence must be evaluated separately.
Evidence limitations
Historical implementation example; not a guarantee that the original deployment instructions still run unchanged.
Read supporting evidence ↗
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FAQ

Where is this product available?

Current availability and regional access not confirmed — check provider.

How is pricing handled?

Prices reflect the source at its last check. Confirm current pricing and regional availability on the official site.

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Peer Reviews & Community Ratings

Feedback from researchers and computational biologists evaluating Amazon SageMaker.

5.0
★★★★★Based on 0 researcher evaluations
Biological Accuracy
4.8/5
Ease of Installation
4.3/5
Documentation & Code
4.6/5