In this blog post we’ll explore where ML developers run their app or project’s code, and how it differs based on how they are involved in machine learning/AI, what they’re using it for, as well as which algorithms and frameworks they’re using.
The emergence of cloud native development and containers has redefined how software is developed. But not all organizations have the resources or expertise to set up the required infrastructure to support a containerized application. Luckily, cloud vendors offer Containers-as-a-Service to help developers to capitalize on the benefits of cloud native development.
How are desktop and cloud development evolving? We’ve prepared an infographic with some key insights that can help you better understand the cloud and desktop developer landscape, based on our recent report focusing on the topic.