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Education

Research and Technical Computing on AWS

Technology, data, and funding to advance science

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Accelerating scientific innovation

Research is an innovation practice – with researchers needing access to tools that enable rapid experimentation. Amazon Web Services (AWS) works with higher education institutions, research labs, and researchers around the world to offer cost-effective, scalable, and secure compute, storage, and database capabilities to accelerate time to science. 

With AWS, researchers can quickly analyze massive data pipelines, store petabytes of data, and advance research using transformative technologies like artificial intelligence (AI), machine learning (ML), and quantum – all while securely sharing their results with collaborators around the world. AWS also provides researchers with access to open datasets, funding, and training to accelerate the pace of innovation.

Quotes

Artem Babaian, Ph.D

"Using AWS, Serratus can process over one million libraries of next-generation sequencing data per day for an overall cost of less than half a cent per library.”

Artem Babaian, Ph.D
Serratus Project Lead, University of British Columbia

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Dr. Carolyn Hogg

"WS helps us expand rapidly in real time while we are doing our analysis. Rather than make the data fit the compute we have available, we can make the compute fit the data we have.”

Dr. Carolyn Hogg
Senior Research Manager, Australasian Wildlife Genomics Group, University of Syndey

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Robert L. Grossman

"We run over 10,000 bioinformatics workflows per month. So we’re extremely grateful for the scalability and robust functionality of AWS.”

Robert L. Grossman
Professor of Medicine and Computer Science and Director of the Center for Translational Data Science, University of Chicago

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Dr. Amir Bahmani

"You can be anywhere in the world, and still access these large medical datasets. We’ve achieved this by running our infrastructure on AWS.” 

Dr. Amir Bahmani
Director of Deep Data Research Computing Center (DDRCC), Stanford

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Solutions

Run complex research simulations in the cloud with ease. 

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Accelerate innovation with fast networking and virtually unlimited infrastructure.

Services: 

  • AWS ParallelCluster: Use an open-source tool that allows you to scale and manage your HPC clusters on AWS. Scale your compute capacity on-demand, which reduces job wait times. Learn more

Innovate faster with the most comprehensive set of AI and ML services.

Access reliable, scalable, and secure storage for your data in the cloud.

Services: 

  • AWS Backup: Centrally manage and automate your storage backups. Learn more

  • AWS Lake Formation: Create a centralized, secure, and curate repository of all your data, including raw data, and data that’s been prepared for analysis. Learn more

  • Open Data on AWS Data Exchange: Researchers and data enthusiasts can now find on AWS Data Exchange more than 100 petabytes of high-value, cloud-optimized data sets available for public use from leading organizations such as NOAA, NASA, or the UK Met Office. Learn more

Initiatives

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Collaborations, funding, and support

AWS Cloud Credits for Research

Access to technology that accelerates innovation.

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Collaborations, funding, and support

AWS Global Data Egress Waiver (GDEW)

GDEW helps eligible researchers and academic institutions use AWS cloud storage, computing, and database services by waiving data egress fees.

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Collaborations, funding, and support

European Space Agency (ESA) - EMEA

Discover how Earth Observation data, powered by AWS Ground Station and advanced satellite technology, is revolutionizing industries and providing actionable intelligence for government, research, and commercial sectors at unprecedented speeds and resolutions.

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Collaborations, funding, and support

Open Cloud for Research Environments (OCRE) - EMEA

AWS, our partners, and the OCRE project aim to accelerate cloud adoption in the European research and education community through a ready-to-use service agreement.

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Collaborations, funding, and support

NIH STRIDES Initiative - US

AWS partners with NIH's STRIDES Initiative to accelerate biomedical research using cloud technology.

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Collaborations, funding, and support

NSF Cloud Bank - US

Learn how researchers can access AWS Cloud services through NSF's CloudBank program.

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Amazon and AWS resources

Amazon Science

Explore cutting-edge research at Amazon Science. Discover the latest in AI, machine learning, robotics, and more.

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Amazon and AWS resources

Amazon Machine Learning Solutions Lab

The Amazon Machine Learning (ML) Solutions Lab pairs your team with ML experts to help you identify and build ML solutions to address your organization’s highest return-on-investment ML opportunities.

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