Research and Technical Computing on AWS
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Research and Technical Computing on AWS
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Working with research labs and institutions around the world, Amazon Web Services (AWS) helps researchers process complex workloads. AWS provides 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, advance research using transformative technologies like artificial intelligence (AI), machine learning (ML), and quantum. Researchers share 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.
AWS supports ground-breaking research in collaboration with leading higher education institutions as well as national and international research agencies. Some include the European Space Agency, National Aeronautics and Space Administration, National Science Foundation, and National Institutes of Health. AWS also works in the fields of computer, biomedical, engineering, quantum information, and space science.
Accelerating time to science
Examples of how AWS supports researchers to scale and collaborate
Feng Yan, PhD, Assistant Professor, Computer Science and Engineering
University of Nevada, Reno
(0:46)
Judith Dexheimer, PhD, Associate Professor, UC Department of Pediatrics
Cincinnati Children's Hospital Medical Center
(0:44)
Connect with researchers worldwide to exchange ideas, share information, and discuss scientific topics. Join an upcoming session led by researchers and experts or catch up on demand.
What's new
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Blog Post
Preventing the next pandemic: How researchers analyze millions of genomic datasets with AWS
How do we avoid the next global pandemic? For researchers collaborating with the University of British Columbia Cloud Innovation Center (UBC CIC), the answer to that question lies in a massive library of genetic sequencing data. But there is a problem: the data library is so massive that traditional computing can’t comprehensively analyze or process it. So the UBC CIC team collaborated with computational virologists to create Serratus, an open-science viral discovery platform to transform the field of genomics—built on the massive computational power of the Amazon Web Services (AWS) Cloud.January 2022 -
Blog Post
Street-scale global maps, orca sounds, and COVID-19 detection data: The latest open data on AWS
The AWS Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on AWS. We work with data providers to democratize access to data by making it available to the public for analysis on AWS; to develop new cloud-native techniques, formats, and tools that lower the cost of working with data; and to encourage the development of communities that benefit from access to shared datasets. This quarter, we released 19 new or updated datasets like validated OpenStreetMap data, bioacoustic data, COVID-19 detection data, and more.January 2022 -
Blog Post
Solving medical mysteries in the AWS Cloud: Medical data-sharing innovation through the Undiagnosed Diseases Network
It takes a medical village to discover and diagnose rare diseases. The National Institutes of Health’s Undiagnosed Diseases Network (UDN) is made up of a coordinating center, 12 clinical sites, a model organism screening center, a metabolomics core, a sequencing core, and a biorepository. For many years prior to the UDN, the experts at these sites were limited by antiquated data-sharing procedures. The UDN leadership realized that if they wanted to scale up and serve as many patients as possible, they needed to transform how they process, store, and share medical data—which led the UDN to the AWS Cloud.January 2022
Experiment that discovered the Higgs boson uses AWS to probe nature
“Modern high energy physics (HEP) experiments require massive computing resources in irregular cycles, so it is imperative for the success of our program that our computing facilities can rapidly expand and contract resources to match demand. Using commercial clouds is an important ingredient for achieving this goal, and our work with AWS on the CMS experiment’s workloads through HEPCloud was a great success in demonstrating the value of this approach.”
Key initiatives
STRIDES Initiative
A collaboration with the National Institutes of Health (NIH) Science and Technology Research Infrastructure for Discovery, Experimentation, and Sustainability (STRIDES) Initiative to foster innovation in biomedical research using technological advancements in the AWS Cloud.
Cloud Bank — A Cloud Access Entity
Created by the National Science Foundation (NSF), CloudBank supports computer science researchers and educators with their use of public clouds, including AWS.
Amazon Science
Learn about Amazon's approach to customer-obsessed science. Amazon Science provides the latest news and innovations in artificial intelligence (AI) and machine learning (ML), including jobs, publications, conferences, and events.
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.
Amazon Quantum Solutions Lab
Amazon Quantum Solutions Lab engagements are collaborative research programs that allow you to work with leading experts in quantum computing, machine learning, and high-performance computing. The programs help you research and identify the most promising applications of quantum computing for your business and get quantum ready.
AWS Data Lab
AWS Data Lab is a four-day intensive engagement between a team of customer builders and AWS technical resources to create tangible deliverables that accelerate data and analytics modernization initiatives.
AWS resources for researchers
Resources for researchers who want to work remotely
The rapidly changing and dynamic global health situation has impacted the lives of many people including researchers at universities and institutions worldwide. AWS put together a list of resources to enable remote learning and working from home.
No-cost online AWS training pathway for researchers and research IT
AWS curated a list of no-cost, on-demand online courses tailored to researchers’ needs. The courses are designed for researchers and research IT professionals who want to become more proficient in optimizing research on AWS.
Amazon Scholars
Amazon is proud to hire world-class academics as Amazon Scholars to work on large-scale technical challenges while continuing to teach and conduct research at their universities.
Student internships
Whether you’re graduating with an undergraduate degree, Masters degree, MBA, or PhD, Amazon teams have positions available globally. Internships are a great way to immerse yourself in Amazon’s culture to see if we’re a good fit for you and your career goals.
AWS Educate
Through AWS Educate, students and educators have access to content and programs developed to skill up for cloud careers in growing fields. AWS Educate also connects companies hiring for cloud skills to qualified student job seekers with the AWS Educate Job Board.
Funding programs
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AWS Cloud Credit for Research
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AWS Machine Learning Research Awards
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Amazon Research Awards
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AWS Global Data Egress Waiver
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The AWS Cloud Credit for Research Program supports researchers who seek to:
- Build cloud-hosted publicly available science as a service applications, software, or tools to facilitate their future research and the research of their community.
- Perform proof of concept or benchmark tests evaluating the efficacy of moving research workloads or open datasets to the cloud.
- Train a broader community on the usage of cloud for research workloads via workshops or tutorials.
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