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, as well as 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 and machine learning.
Join this on-demand webinar and learn:
How organizations are leverage the cloud to tackle data processing challenges
The solutions for all kinds of high performance computing (HPC) workloads, real world examples of running HPC applications in a faster, more flexible and cost-effective way
Different HPC cluster deployment approaches, including newly setup and revamps on your research environment
Examples of using AI and Machine Learning in research projects, including medical imaging for health and life science with deep learning for computer vision, disaster management and response with deep learning and natural language processing
Reference architecture for data processing and machine learning pipelines
Make your own HPC Cluster on AWS - ClusterTech (English Webinar)