Harness the Power of AI and Deep Learning for Business
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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.
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Harness the Power of AI and Deep Learning for Business
- 1. Jim McHugh, NVIDIA VP and GM, Data Center Sep 2017 | Strata Data Conference HARNESS THE POWER OF AI AND DEEP LEARNING FOR BUSINESS
- 2. 2 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
- 3. 3 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
- 4. 4 ACCELERATE MACHINE LEARNING WITH H2O
- 5. 5 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.”
- 6. 6 COLLABORATION THROUGH OPEN SOURCE GPU DATA FRAME gpuopenanalytics.com Learn More: Thurs 11:20-12:00pm Room: 1A 03