MOUNTAIN VIEW, Calif.–(BUSINESS WIRE)–H2O.ai, the leader with most completeness of vision in the 2018 Gartner Magic Quadrant for Data Science and Machine Learning Platforms, today announced that Driverless AI, the award-winning automated machine learning platform, and H2O4GPU, the open source GPU-accelerated machine learning package, are now both fully optimized for the latest-generation NVIDIA® Volta architecture GPUs — the NVIDIA Tesla® V100 — and CUDA 9 software. The combined offerings deliver the fastest and most accurate iterations of machine learning models. H2O4GPU now also supports the following algorithms and improvements based on customer demand: https://github.com/h2oai/h2o4gpu
- Truncated SVD (singular value decomposition) & PCA (principal component analysis) for dimensionality reduction and feature engineering
- A new R API brings the benefits of GPU-accelerated machine learning to the R user community
- Improved K-means and XGBoost performance on multi-GPU workloads for faster performance and ability to handle larger datasets
- “Driverless AI makes it possible for a small team of data scientists to operate at an industrial scale,” said Ajay Gopal, Chief Data Scientist at Deserve, a rapidly growing analytics-based financial tech company. “We’re able to now tackle a host of different use cases all at once because of the power of automated machine learning and interpretability.”
Customers are building millions of models each month with Driverless AI with never-before-seen accuracy. Driverless AI’s recent innovations follow Gartner’s recognition of H2O.ai as a Leader with the most completeness of vision in the Gartner 2018 Magic Quadrant for Data Science and Machine Learning Platforms.
“HPC is the new PC for AI developers. NVIDIA and H2O hardware/software co-evolution makes it faster, cheaper and easier to build and deploy machine learning models. H2O4GPU makes good on our mission to build a strong open source AI community with the fastest and most accurate software on the hardware innovations on GPU. Automatic Machine Learning with Driverless AI is like the AlphaGo for Business Insights. Recipes from some of the world’s greatest data science grandmasters and community make solving a whole class of data problems easy and fun”
Sri Ambati
CEO of H2O.ai
“A world of discovery is ready to be unleashed in every sphere and vertical of life with AI. This will be fun.”
“NVIDIA GPUs combined with Driverless AI and H2O4GPU provide a great solution for enterprises looking to transform their businesses with accelerated machine learning”
Jim McHugh
VP and GM of Deep Learning Systems at NVIDIA
“Our financial, healthcare and insurance customers are able to see real growth from the collaboration by gaining tremendous speed to insights and interpretability.”
H2O.ai’s Driverless AI platform lets data scientists, engineers, and domain scientists use an incredibly fast, intuitive computing platform to build highly accurate models and pipelines in a fraction of the time spent. Customers can now apply automatic feature engineering with machine learning to quickly develop hundreds of machine learning models and pipelines, helping businesses mitigate risks and maximize revenue potential. This helps combat the lack of highly skilled data scientists and artisanal data culture that is hindering AI adoption. Driverless AI also offers first-of-its-kind model interpretability to explain model accuracy and predictions transparently.
A free 21-day trial of Driverless AI is currently available for customers.
H2O.ai launched in 2011 with the goal of democratizing data science through open source machine learning. H2O.ai continues to accelerate with significant commercial expansion and has strengthened its position as a thought leader and innovator. H2O.ai’s products are used by 222 of the Fortune 500, 150,000 data scientists and 12,600 organizations around the world.
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