GPU TECHNOLOGY CONFERENCE — H2O.ai has 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.
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,” said Sri Ambati, CEO of H2O.ai.
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.