NVIDIA Quadro RTX for Data Science and Big Data Analytics

With 2.5 quintillion (1018) bytes of data being generated every day, a trend that will only continue to exponentiate as the Internet of Things (IoT) undergoes explosive growth, information is everywhere while insights remain elusive. 90% of the world's data was created in the past two years alone.

Sifting through this supersized data tsunami to find actionable information is the domain of Big Data Analytics. GPU acceleration, provided by the NVIDIA® Quadro® RTX™ line of professional graphics boards, is opening new vistas, possibilities, and capabilities for Big Data Analytics across academia, business, education, government, and numerous scientific disciplines.

Data scientists working on big data domain problems now have access to new technology that increases productivity while reducing time to insight.

A portfolio of options ranging from big clusters with disk-based databases, small clusters with in-memory data, single systems with in-CPU memory data, and workstations with in-GPU memory data meet various Data Analytics use cases.

This paper spans all options, but emphasizes GPU-based and accelerated solutions for single systems optimized for Data Science use and servers certified for data center deployment.