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AWS re:Invent 2024 | December 2-6 | Las Vegas, Nevada | Register now
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.
Oxford drives cutting edge research with AWS
Cloud for research
Explore on-demand seminars, trainings, and tutorials in your research area.
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
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
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 ›
AWS Batch: Fully managed batch processing at any scale. Learn more ›
Amazon SageMaker: Build, train and deploy machine-learning (ML) models regardless of ML expertise. Learn more ›
Amazon SageMaker Studio Lab: a free machine learning (ML) development environment that provides the compute, storage (up to 15GB), and security—all at no cost—for anyone to learn and experiment with ML. Learn more ›
Amazon Simple Storage Service (S3): Object storage built to retrieve any amount of data from anywhere. Learn more ›
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 ›