Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY

Simplifying AI infrastructure: Lessons in scaling a deep learning enterprise (sponsored by NVIDIA)

Darrin Johnson (NVIDIA)
1:15pm–1:55pm Wednesday, 09/12/2018

What you'll learn

  • Learn best practices for building a deep learning enterprise that will help you shorten deployment timeframes, improve developer productivity, and streamline operations


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.

Topics include:

  • The common challenges and pitfalls associated with deep learning platform selection and infrastructure design
  • Design principles for a deep learning data center that can meet the unique demands of GPU-accelerated workloads
  • How to simplify and accelerate your deep learning deployment

This session is sponsored by NVIDIA.

Photo of Darrin Johnson

Darrin Johnson


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.