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    On-Demand Spark clusters with GPU acceleration

    Apache Spark has become the de facto standard for processing large amounts of stationary and streaming data in a distributed fashion. The addition of the MLlib library,...

    Choosing the right Machine Learning Framework

    Machine learning (ML) frameworks are interfaces that allow data scientists and developers to build and deploy machine learning models faster and...

    Domino now supports JupyterLab — and so much more

    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...

    Achieving Reproducibility with Conda and Domino Environments

    Managing “environments” (i.e., the set of packages, configuration, etc.) is a critical capability of any Data Science Platform. Not only does...

    Enabling Data Science Agility with Docker

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