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NVIDIA GTC San Jose 2017

S7652 - Blending the Worlds of Machine Learning and Deep Learning to Make the Fastest AI Platform on GPUs

Session Speakers
Session Description

Deep learning algorithms have benefited greatly from the recent performance gains of GPUs. However, it has been unclear whether GPUs can speed up data manipulations such as joins and aggregations and machine learning algorithms such as generalized linear modeling, random forests, gradient boosting machines, and clustering. H2O.ai, the leading open source AI company, is bringing the best-of-breed data science and machine learning algorithms to GPUs, not just deep learning. In addition, H2O.ai is porting data.table to GPUs, already the fastest open-source columnar data frame library and the world's fastest implementation of the sort algorithm. This powerful combination will enable the fastest data science and machine learning pipelines for AI transformations for applications such as IoT time series, fraud prevention, anomaly detection, and many more. We'll demonstrate benchmarks for the most common algorithms relevant to enterprise AI and showcase performance gains as compared to running on CPUs.


Additional Session Information
Intermediate
Talk
AI Startup, Accelerated Analytics, Deep Learning and AI
Cloud Services
25 minutes
Session Schedule