AWS is fantastic for scientific computing. With it you can: - Deploy a thousand servers with GPUs in 10 minutes, churn over a giant dataset, then turn them all

AWS is fantastic for scientific computing. With it you can: - Deploy a thousand servers with GPUs in 10 minutes, churn over a giant dataset, then turn them all off again. Nobody ever has to wait for access to the supercomputer. - Automatically back up everything into cold storage over time with a lifecycle policy. - Avoid the massive overhead of maintaining HPC clusters, labs, data centers, additional staff and training, capex, load estimation, months/years of advance planning to be ready to start computing. - Automation via APIs to enable very quick adaptation with little coding. - An entire universe of services which ramp up your capabilities to analyze data and apply ML without needing to build anything yourself. - A marketplace of B2B and B2C solutions to quickly deploy new tools within your account. - Share data with other organizations easily. AWS costs are also "retail costs". There are massive savings to be had quite easily.