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.
On-demand trainings and tutorials
Resources
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
You can be anywhere in the world, and still access these large medical datasets. We’ve achieved this by running our infrastructure on AWS.”
When large amounts of data come off the sequencing instruments, we use FPGAs on AWS to process that data quickly.”
Eric Venner
Associate Professor and Head of the Clinical Informatics Group, Human Genome Sequencing Center, Baylor College of Medicine
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
AWS 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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