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December 2-6, 2019, The Venetian Resort, Las Vegas

Join NVIDIA at AWS re:Invent 2019, Dec 2-6, in Las Vegas, the largest annual enterprise conference for AWS, where you will see the latest collaboration between our two companies. Get updates on how GPU acceleration is transforming cloud computing in AI and deep learning. Explore our cutting-edge technologies, dive deep and meet with experts from a broad range of industries, geographies, and product lines.

Find us at our Booth #1237 in the Venetian to see how our autonomous driving, smart cities, and Quadro workstation solutions work with AWS.

NVIDIA Sessions

Networking Event

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Want to learn more about NVIDIA GPU acceleration in the cloud? Attend the following sessions.
Session ID Title Type
CMP319-R Deploy graphics desktops for content production on AWS Session
CMP304-R AWS ML Infrastructure for large-scale distributed training with Facebook AI Session
CMP409-R Selecting the right instance for your HPC workloads Session
CMP315-R Multi-node deep learning training in the cloud Chalk Talk
CMP307-R Optimize ML training and inferencing using Amazon EC2 Workshop
AIM311-R
Choose the right instance type in Amazon SageMaker, featuring Texas Instruments Session



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About the Event

Join NVIDIA at AWS re:Invent 2019, Dec 2-6, in Las Vegas, the largest annual enterprise conference for AWS, where you will see the latest collaboration between our two companies. Get updates on how GPU acceleration is transforming cloud computing in AI and deep learning.

Additionally, don’t miss the NVIDIA Quadro Virtual Workstations (vWS) combined with G4 instances. The Quadro vWS AMI enables the industry’s most advanced 3D graphics platform, including the latest real-time ray tracing in a virtual machine.

Explore our cutting-edge technologies, dive deep and meet with experts from a broad range of industries, geographies, and product lines. Find us at our Booth #1237 in the Venetian to see how our autonomous driving, smart cities, and Quadro workstation solutions work with AWS.

Featured Speakers

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Norm Marks Chitoku Yato
Sr. Global Director - Automotive Industry
NVIDIA
Technical Product Marketing Manager
NVIDIA

NVIDIA Sessions

Networking Event

Related Sessions


Want to learn more about NVIDIA GPU acceleration in the cloud? Attend the following sessions.


Location


Event Details

Date: December 2-6, 2019
Time: 6:30 pm - 9:30 pm
Location: AWS Loft, 525 Market St, 2nd floor, San Francisco, CA 94105

Content

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Content

DGX Station Datasheet

Get a quick low-down and technical specs for the DGX Station.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.

Content

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Featured Speakers

Norm Marks
Global Director - Automotive Industry
NVIDIA
Chitoku Yato
Technical Product Marketing Manger
NVIDIA
Dr. Dimitrios Emmanoulopoulos
Lead Data Scientist, Barclays Bank
Talk Title: "Financial Machine Learning applications that exploit GPU technologies: Do more with less!"

Dimitrios is the lead data scientist in Barclays’ Applied Machine Learning team. For the last two and a half years he has been productionizing machine learning solutions for a variety of different business use cases: card fraud detection, recommendation engines, credit card delinquency predictions, customer sentiment analysis, compliance and Investment Bank Markets. Moreover, Dimitrios is building cost effective GPU hardware solutions for machine learning projects, that deal with Peta bytes of data, across the entire bank, he is developing the next generation state-of-the-art AI models (using Deep Neural Networks) for card fraud and bond pricing prediction and he is also closely involved in the Cloud based technologies that will be implemented in the near future by Barclays. Finally, he is actively benchmarking 3rd party hardware and software solutions around AI and has been representing Barclays in various discussion panels and forums. Dimitrios completed a Ph.D. on the development of predictive algorithms for black hole astrophysics and quantum gravity detection.
John Ashley
Director, Global Financial Services Strategy, NVIDIA
Talk title: "Alpha, Risk, and Customer Satisfaction: Advances in AI for Natural Language"

John Ashley currently leads the Global Financial Services Industry Strategy team at NVIDIA. His team focuses on global trends and directions in accelerated compute and AI for the entire sector – from hedge funds, fintech, banking, and insurance. NVIDIA supports customers and partners in their adoption of accelerated computing and AI/ML techniques to improve time to insight, enable expanded analytics around risk and fraud, and dive deep into customer data to address key business problems. He also started and led the Professional Services Deep Learning Practice for NVIDIA and the NVIDIA Deep Learning Professional Services Partner program; managed the relationship with IBM’s Software and Cognitive groups, was a Senior Solutions Architect covering Financial Services based in New York and then London, and supported NVIDIA’s work with the Square Kilometer Array radio astronomy programs. He holds a doctorate in Computational Sciences and Informatics, and both BS and MS degrees in Electrical Engineering. His past work experience can best be described as varied – he has been a data scientist , project manager, systems architect, DBA, and developer – working in vendor, consulting, and end user firms in utilities, government, and finance. He holds a US Patent in predictive analytics.
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Date & Time: Wednesday, April 22, 2018