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Research infrastructure that scales with the dataset, not against it.

High-performance computing solutions for researchers and academics — scalable data processing, ML pipelines, and collaborative environments built for real research workflows.

SageMaker EMR Redshift Bedrock
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What's included

Core capabilities behind this service line.

Large-scale data processing

Pipelines built to handle datasets that outgrow a single machine, without the team having to become infrastructure engineers.

ML & AI pipeline development

From data prep to model training to deployment, on managed infrastructure that doesn't require standing up servers.

Collaborative research environments

Shared, access-controlled workspaces so a research team can work on the same data without emailing spreadsheets around.

Data warehousing & analytics

Structured, queryable storage for research data that needs to be analyzed, not just archived.

Who it's for

Universities & research labs
Academic researchers with large datasets
R&D teams needing collaborative infrastructure

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