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    Announcement: Domino is fully Kubernetes native

    Last week we announced that Domino is now fully Kubernetes native. This is great news for data science teams and IT organizations building modern DS platforms, for two...

    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...

    Model Deployment Powered by Kubernetes

    In this article we explain how we’re using Kubernetes to enable data scientists to deploy predictive models as production-grade APIs. Background ...

    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...

    Exploring the Limits of Parallelized Machine Learning

    This week, Domino’s Chief Data Scientist, Eduardo Ariño de la Rubia, presented a webinar: Machine Learning at Scale with Amazon's X1 Instance. If you...

    High-performance Computing with Amazon's X1 Instance - Part II

    When you have at your disposal 128 cores and 2TB of RAM, it’s hard not to experiment and attempt to find ways to leverage the amount of power that is...

    High-performance Computing with Amazon's X1 Instance

    We’re excited to announce support for Amazon’s X1 instances. Now in Domino, you can do data science on machines with 128 cores and 2TB of RAM — with...

    Using Apache Spark to Analyze Large Neuroimaging Datasets

    This article was written by Sergul Aydore, Ph.D., and Syed Ashrafulla, Ph.D. Sergul and Syed received their Ph.D.s in Electrical Engineering in 2014...

    Announcing Enhanced Apache Spark Support

    Domino now offers data scientists a simple, yet incredibly powerful way to conduct quantitative work using Apache Spark. Apache Spark has captured...

    Making Data Science Fast: Survey of GPU Accelerated Tools

    This talk took place at the Domino Data Science Pop-up in Austin, TX on April 13, 2016 In this talk, Mazhar Memon, CEO and Co-founder at...

    Reflections on "buy vs build"

    “Buy vs build”, “not-invented-here syndrome” and even “invented-here-syndrome” have been written about extensively. I want to share a few reflections...

    Building an open product for power users

    This post describes our engineering philosophy of building an “open” product, i.e., one that supports existing tools and libraries, rather than...

    Cloud Security: The right way to worry

    Here’s a question we hear a lot: We’re not that comfortable with the cloud from a security perspective -- can you install Domino on premise? The...

    Don't get Hadooped

    I have seen many companies that are interested in improving their analytical capabilities, and I noticed a disconcerting pattern: in many cases,...