While every enterprise is on a mission to infuse its business with deep learning, few know how to build the infrastructure to get them there. Shortsighted approaches to data center design can lead to long-term consequences that make the ROI of AI elusive. Darrin Johnson shares insights and best practices learned from NVIDIA’s deep learning deployments around the globe that you can leverage to shorten deployment timeframes, improve developer productivity, and streamline operations.
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This session is sponsored by NVIDIA.
Darrin Johnson is a technologist at NVIDIA working in software and hardware engineering, including system software, scientific, and cloud computing. Darrin has a proven track record of building and driving high-performance global teams and delivering innovative technology, products, and solutions, and has demonstrated a mastery of numerous technologies, including kernels, networking, filesystems, storage, security, and cloud computing. His experience includes product marketing, technical marketing, and product management, both inbound and outbound. Darrin is currently driven to master deep learning as an enabler for innovation.
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