Building an End-to-End Deep Learning System That Scales

Every organization wants to infuse the power of AI in its business. From development to production training, you need an end-to-end AI workflow that’s optimized for the rigors of deep learning, that offers predictable performance as your neural network models and datasets grow. Attend this session to get insights into use cases, best practices and architecture examples that can help you and your data science team get started now, accelerating your path from experimentation to business insights.

Featured Speakers: 

Tony Paikeday, Director of Product Marketing, NVIDIA Deep Learning Systems, NVIDIA

Roy Kim, Director of Product Solutions, AI and Analytics, Pure Storage

Featured Technology Partners

Gartner names Pure Storage a Leader in the 2018 Magic Quadrant Solid-State Arrays 5 Years in a Row

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