Jim McHugh, NVIDIA VP and GM of Data Center, discussed how GPU computing has accelerated artificial intelligence and deep learning capabilities. GPU computing performance has increased by 1000x by 2025, growing at 1.5x per year, compared to single-threaded microprocessor performance which has grown at only 1.1x per year. GPU computing now powers major advances in artificial intelligence, driving improvements in customer service, machine learning, data visualization, and open source collaboration.

1. Jim McHugh, NVIDIA VP and GM, Data Center
Sep 2017 | Strata Data Conference
HARNESS THE POWER OF AI AND
DEEP LEARNING FOR BUSINESS

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Big Bang of Modern AIPerformance Beyond Moore’s Law
1980 1990 2000 2010 2020
102
103
104
105
106
107
GPU-Computing perf
1.5X per year
1000X
by 2025
40 Years of Microprocessor Trend Data
Single-threaded perf
1.5X per year
1.1X per year
GPU COMPUTING AT THE HEART OF AI

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Best Service Offering Digital Assistance Account Security
BREAKTHROUGH CUSTOMER SERVICES
“ Future advancements in machine learning will unlock
opportunities for us to create breakthrough consumer experiences
in ways we can’t even imagine today..”
— Adam Wenchel, VP of AI, Capital One

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ACCELERATE MACHINE LEARNING WITH H2O

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LIGHTNING FAST TABLEAU DASHBOARDS
“ We are excited about this new offering from InterWorks with Kinetica,” said Todd
Talkington, Director at Tableau. “our partners continue to bring interactive
solutions to market to make Tableau even faster and easier to use.”

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COLLABORATION THROUGH OPEN SOURCE
GPU DATA FRAME
gpuopenanalytics.com
Learn More:
Thurs 11:20-12:00pm
Room: 1A 03