Subject archive for "compute-environments"

You can now run JupyterLab in Domino, using a new Domino feature that lets data scientists specify any web-based tools they want to run on top of the Domino platform.

Managing “environments” (i.e., the set of packages, configuration, etc.) is a critical capability of any Data Science Platform. Not only does environment setup waste time on-boarding people, but configuration issues across environments can undermine reproducibility and collaboration, and can introduce delays when moving models from development to production.

This post describes how Domino uses Docker to solve a number of interconnected problems for data scientists and researchers, related to environment agility and reproducibility of work.