High Performance Machine Learning tools for achieving your goals faster.

What is Harp?

Harp is an HPC-Cloud convergence framework for Big Data. Our overarching goal is to automate ML as a service for both ease of use and scalability. Harp is designed to cover a full range of data-intensive computation from pleasingly parallel to machine learning and simulation.

Speed and Performance

Harp has a wide array of architectural improvements that contribute to high efficiency gains.

Learn more

Compatible with Hadoop

Harp is a plugin built into Apache Hadoop and hence no code change of Hadoop is required for migration.

Learn more

Ease of Development

Easily debug and identify the issues, allowing faster iteration during development and easy to use.

Learn more

Scalability and Portability

Harp is highly scalable in the ability to run on large amount of training data and model parameters. It can run on both cloud and HPC platforms.


We are building a community around better Data Analytics tools

Come join us

Start contributing