Tag: Compute Environments

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 library,...

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...

Achieving Reproducibility with Conda and Domino Environments

Managing “environments” (i.e., the set of packages, configuration, etc.) is a critical capability of any Data Science Platform. Not only does environment setup waste time on-boarding...