GPU Technology Conference Coverage
H2O.ai, today announced that it has collaborated with NVIDIA to offer its best-of-breed machine learning algorithms in a newly minted GPU edition. In addition, H2O’s platform will be optimized for NVIDIA® DGX-1™ systems.
AI with automatic machine learning will make data monetization possible for anyone with data. H2O.ai is excited to unveil our growing partnership with NVIDIA to bring interpretable, fast and accurate algorithms to GPUs.” said Sri Ambati, CEO and Co-founder of H2O.ai. “H2O.ai with NVIDIA GPU acceleration brings high-performance cloud-neutral learning and inference stack for enterprise AI communities.”
Enterprises can use this end-to-end solution to operate on large datasets, iterate faster, deploy quickly and gain real-time insights. H2O’s AI solutions enable customers to train machine learning models up to 75x faster compared to conventional CPU-based solutions. Potential use cases for this GPU integration include customer service, fraud prevention, financial advising and healthcare personalization. As part of the initial release, H2O.ai demonstrated its Generalized Linear Model and Gradient Boosted Tree implementation that are accelerated using GPUs.
Future advancements in machine learning will unlock opportunities for us to create breakthrough consumer experiences in ways that we can’t even imagine today,” said Adam Wenchel, VP of AI and Data Innovation at Capital One. “As users of the H2O.ai and NVIDIA platforms, we see GPU acceleration of machine learning as a transformative development for the enterprise distributed machine learning community.”
About 9,000 enterprises and a third of Fortune 500 companies are using H2O.ai’s open source platform to derive value from data with machine learning and deep learning and receive real-time insights and make actionable decisions.
Enterprises across industries will benefit from H2O.ai’s machine learning portfolio powered by the NVIDIA deep learning platform,” said Jim McHugh, Vice President and General Manager at NVIDIA. “Customers can now leverage H2O.ai machine learning algorithms to do clustering, classification, predictive analysis, and anomaly detection at speeds only possible on our platform.”
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