An Introduction to H2O4GPU and Driverless AI

Presented by

Jon McKinney, Director of Research and Arno Candel, CTO

About this talk Speakers: Jon McKinney, Director of Research and Arno Candel, CTO Machine learning has benefited greatly from the recent performance gains of GPUs.’s open source machine learning platform, H2O4GPU, and its award-winning enterprise automated machine learning platform, Driverless AI, are both fully optimized for the latest-generation NVIDIA® architecture. In this webinar, you’ll learn about both platforms including: - How H2O4GPU and Driverless AI are optimized for Volta and CUDA 9 - Benchmark results for common algorithms as compared to running on CPUs - Product features - Key use cases There will be time during the webinar for Q&A. About the speakers: Jon McKinney is the Director of Research at He has 20 years of experience building world-class mathematical algorithms and astrophysical models, and executing them on massively parallel systems to explain and predict real-world data. Arno Candel is the Chief Technology Officer at He is the main committer of H2O-3 and Driverless AI and has been designing and implementing high-performance machine-learning algorithms since 2012. Previously, he spent a decade in supercomputing at ETH and SLAC and collaborated with CERN on next-generation particle accelerators. Arno holds a PhD and Masters summa cum laude in Physics from ETH Zurich, Switzerland. He was named "2014 Big Data All-Star" by Fortune Magazine and featured by ETH GLOBE in 2015. Follow him on Twitter: @ArnoCandel.

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Subscribers (19203) is the maker of H2O, the world's best machine learning platform and Driverless AI, which automates machine learning. H2O is used by over 200,000 data scientists and more than 18,000 organizations globally. H2O Driverless AI does auto feature engineering and can achieve 40x speed-ups on GPUs.