Use cases

Development and innovation experiments

Developers who want to build a proof of concept on new AWS services, or run innovation experiments and prove the business value, before moving to a CI/CD pipeline.

Train and test GenAI models

Machine learning engineers and data scientists who want to train, test, fine-tune, and establish reinforcement learning on foundation models to improve the model’s accuracy and reduce bias.

Test environment

Quality Assurance/Test engineers who want a disposable and isolated cloud environment to run integration tests, regression tests, reproduce bugs, and test API changes, before pushing tested code to a CI/CD pipeline.

Higher education training labs

Educators, such as Head of Department, professors, and teachers at universities who want to train students by creating and managing disposable cloud environments (classroom labs, exams, and more).

Research and Development (R&D)

Educators at universities, colleges, and high schools or R&D teams at enterprises who want to run cloud research experiments in a controlled environment to verify their hypotheses.

Employee onboarding and training

Training leads at enterprises who want to provide a secure and short-lived cloud environment to deliver hands-on learning, workshops or onboarding experiences for employees.

Hackathons

IT teams (at healthcare companies, investment firms, and other enterprises) who want to run hackathons in AWS accounts owned by them, so that they can host sensitive and proprietary data.

Demo environments

Engineers and solution architects at enterprises who want an environment to run demos.

Software vendors

Companies that sell software and want to stand up time or budget limited demos of their software solutions and make them available to their customers to try.