H2O.ai Accelerates Automatic Machine Learning with New Data Science Workstations

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A recent press release states, “H2O.ai, the open source leader in AI and Machine Learning, today announced that H2O Driverless AI, the award-winning automatic machine learning platform, and H2O4GPU, the open source GPU-accelerated machine learning package, are now optimized for the new NVIDIA-powered Data Science Workstations with NVIDIA Quadro RTX GPUs and NVIDIA CUDA-X AI acceleration libraries. H2O.ai also announced it will integrate NVIDIA RAPIDS to take advantage of its GPU-optimized machine learning algorithms. When combined with H2O Driverless AI, NVIDIA-powered Data Science Workstations allow data scientists to work on extremely complex models and pipelines easily with highly optimized infrastructure that reduces time to results. Models and pipelines can be easily re-trained on the Data Science Workstations to support larger datasets or even include an H2O Sparkling Water cluster that runs on massive datasets.”

Sri Ambati, CEO and founder of H2O.ai, commented, “H2O.ai is excited for our partnership with NVIDIA towards accelerating machine learning for everyone. With H2O Driverless AI on NVIDIA-powered Data Science Workstations it is faster, cheaper and easier to build and deploy machine learning models. Recipes from our open source community and some of the world’s greatest data science grandmasters make solving a whole class of data problems fast, explainable and easy… Our mission to democratize AI for the enterprise is now within reach with automatic machine learning from H2O.ai on GPUs by NVIDIA.”

Read more at PR Newswire.

Image used under license from Shutterstock.com

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