Accelerating Machine Learning on GPUs
H2O.ai and NVIDIA together provide enterprises the fastest and most accurate GPU-accelerated machine learning. Enterprises can use this accelerated solution to operate on large datasets, iterate faster, deploy quickly and gain real-time insights. H2O ML algorithms enable customers to train machine learning models up to 75x faster compared to conventional CPU-based solutions.
Join NVIDIA Director Applied Solutions Engineering, Joshua Patterson and H2O.ai CTO, Arno Candel for a webinar explaining how enterprises can use this transformative technology to build their to rapidly innovate using machine learning.
ON-DEMAND WEBINAR REGISTRATION
Presented By
Joshua Patterson
Director Applied Solutions Engineering
Joshua Patterson is the Director of Applied Solutions Engineering at NVIDIA and a former White House Presidential Innovation Fellow. Prior to NVIDIA, Josh worked with leading experts across public sector, private sector, and academia to build a next generation cyber defense platform. His current passions are graph analytics, machine learning, and GPU data acceleration. Josh also loves storytelling with data, and creating interactive data visualizations. Josh holds a B.A. in economics from the University of North Carolina at Chapel Hill and an M.A. in economics from the University of South Carolina Moore School of Business.
Arno Candel
CTO
Dr. Arno Candel is the CTO at H2O.ai, the makers of the distributed and scalable open-source machine-learning platform H2O. Arno is also the main author of H2O’s Deep Learning and key contributor to H2O's GBM and DRF algorithms. Arno spent the last 5+ years designing and implementing high-performance machine-learning algorithms.
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