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Data Science

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 at your fingertips. We’re excited to remind our readers that we support Amazon’s X1 instances in Domino, you can do data science on machines with 128 cores and 2TB of RAM — with one click:

By Eduardo Ariño de la Rubia5 min read

Data Science

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 one click:

By Eduardo Ariño de la Rubia10 min read

Data Science

Announcing Enhanced Apache Spark Support

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

By Eduardo Ariño de la Rubia4 min read

Data Science

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

By Daniel Chalef

Data Science

Reflections on "Buy vs Build" for Data Science Tools

“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 observations both as an engineering manager (where I had to decide whether to build or buy solutions) and more recently as a founder selling a platform to other companies.

By Nick Elprin11 min read

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