Accelerating Deep Learning with GPUs
Gain Competitive Advantages through Advanced AI
Leading organizations today are generating tremendous impact from deep learning and other advanced AI techniques. Is your business getting left behind?
Leading organizations today are generating tremendous impact from deep learning and other advanced AI techniques. Is your business getting left behind?
In this webinar, Stan Seibert, Director of Community Innovation at Anaconda, provides practical examples of how deep learning can benefit your organization, and demonstrates how to speed up your model training with GPUs—all from within the friendly confines of the Anaconda Enterprise platform.
Meet Our Speaker
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Stan Seibert, Director of Community InnovationStan leads the Community Innovation team at Anaconda, where his work focuses on high-performance GPU computing and designing data analysis, simulation, and processing pipelines. He is a longtime advocate of the use of Python and GPU computing for research. Prior to joining Anaconda, Stan served as Chief Data Scientist at Mobi, where he worked on vehicle fleet tracking and route planning.
Stan received a PhD in experimental high energy physics from the University of Texas at Austin and performed research at Los Alamos National Laboratory, University of Pennsylvania, and the Sudbury Neutrino Observatory.