Tag: High-Performance Computing

Ray for Data Science: Distributed Python tasks at scale

Editors Note: This article was originally posted on Patterson Consulting's blog and can be found at http://www.pattersonconsultingtn.com/blog/blog_index.html and has been republished with permission. Why Do We...

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...

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 easier. Machine learning is used...

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...