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    The Role of Containers on MLOps and Model Production

    Container technology has changed the way data science gets done. The original container use case for data science focused on what I call, “environment management”....

    Answering Questions About Model Delivery on AWS at Strata

    This post is a recap of the common questions Domino answered in the booth at Strata New York. We answered questions about access to EC2 machines,...

    New G3 Instances in AWS - Worth it for Machine Learning?

    We benchmarked AWS’s new G3 instances for deep learning tasks and found they significantly outperform the older P2 instances. The new G3 instances...

    Horizontal Scaling for Parallel Experimentation

    The amount of time data scientists spend waiting for experiment results is the difference between making incremental improvements and making...

    The Cost of Doing Data Science on Laptops

    At the heart of the data science process are the resource intensive tasks of modeling and validation. During these tasks, data scientists will try...

    Deep Learning on GPUs without the Environment Setup

    We have seen an explosion of interest among data scientists who want to use GPUs for training deep learning models. While the libraries to support...