Tag: IT

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 are now available...

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 Domino lets users publish R...

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 significant advances. With parallel experimentation, data...

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 missed the...

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...

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...

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 from the University...

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 the hearts and minds...

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 on the topic, based on my...

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 building our own custom version...

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...