Anaconda Enterprise supports cloud native data science applications and is itself a cloud native solution. This is extremely important because success with AI comes from speed and scale in model training and deployment.

Embracing cloud native data science principles, all Anaconda Enterprise projects and deployments run inside of containers, automatically orchestrated and abstracted from the view of the data scientist. This provides data science users with flexibility and speed to deploy models as REST APIs with just one click, enabling them to quickly iterate through the machine learning lifecycle and thus provide more value to the business.

Anaconda Enterprise’s cloud native approach also makes IT’s life easy. IT admins can allow data scientists to self-serve compute needs while maintaining control. Even better, scaling Anaconda Enterprise is simple. IT admins need only run one command to add node(s) to their cluster while Anaconda Enterprise takes care of the rest.