Abstract

Simplifying AI Infrastructure: Lessons in Scaling on DGX Systems

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. Short-sighted approaches to data center design can lead to long-term consequences that make the ROI of AI elusive. NVIDIA has distilled the insights and best practices learned from deep learning deployments around the globe...


Session No: SIL8139
Speaker: Renee Yao
Type:

Accelerated Data Analytics

Date: Thursday - October 18, 2018 05:00 PM - 05:45 PM
Location: Hall I
Topics: Deep Learning and AI, Accelerated Data Science
Industry: General

Simplifying AI Infrastructure: Lessons in Scaling on DGX Systems

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. Short-sighted approaches to data center design can lead to long-term consequences that make the ROI of AI elusive. NVIDIA has distilled the insights and best practices learned from deep learning deployments around the globe, into prescriptive guidance that every organization can leverage to shorten deployment timeframes, improve developer productivity and streamline operations. Attend this session to learn: 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; and how leading technologies and solutions have come together to simplify and accelerate your deep learning deployment.