WORKSHOPS MARCH 17, 2019
CONFERENCE MARCH 18-21, 2019

Limited-time GTC Alumni rates now available.

Limited-time GTC Alumni rates now available.

 
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JOIN THE PREMIER AI CONFERENCE

NVIDIA’s GPU Technology Conference (GTC) is a global conference series providing training, insights, and direct access to experts on the hottest topics in computing today.

CONNECT

Interact with technology experts from NVIDIA and other leading organizations.

LEARN

Get valuable insight and hands-on training through hundreds of courses, talks, and research posters.

Discover

DISCOVER

See how GPU technologies are creating amazing breakthroughs in important fields such as deep learning.

Innovate

INNOVATE

Hear about disruptive innovations as early-stage companies and startups present their work.

GTC is the show to be at this year if you want to see what is coming for the next generation of ever-smarter technology.

- Rob Enderle, TGDaily

If GPUs are time machines, then GTC is where you come see the future.

– Jensen Huang, NVIDIA

If you are interested in AI and ML, GTC is the place to be whether you are a developer, a data scientist or a business person.

- Patrick Moorhead, Forbes

2019 TOPICS

Detailed pages on each topic coming soon.

AI / DEEP LEARNING

AI / DEEP LEARNING

ACCELERATED DATA SCIENCE

ACCELERATED DATA SCIENCE

GRAPHICS / SIMULATION

GRAPHICS / SIMULATION

AUTONOMOUS MACHINES / IOT

INTELLIGENT MACHINES / IOT

HIGH PERFORMANCE COMPUTING

HIGH PERFORMANCE COMPUTING

DEVELOPER TOOLS

DEVELOPER TOOLS

DATA CENTER AND CLOUD

DATA CENTER AND CLOUD

AI FOR BUSINESS

AI FOR BUSINESS

2019 INDUSTRIES

Detailed  pages on each topic coming soon

AUTOMOTIVE / TRANSPORTATION

AUTOMOTIVE /
TRANSPORTATION

HEALTHCARE / LIFE SCIENCES

HEALTHCARE /
LIFE SCIENCES

FINANCE

FINANCE

MEDIA / ENTERTAINMENT

MEDIA / ENTERTAINMENT

AEC / MANUFACTURING / INDUSTRIAL

AEC / MANUFACTURING / INDUSTRIAL

GOVT / NATIONAL LABS / HIGHER ED

GOVT / NATIONAL LABS / HIGHER ED

TELECOMMUNICATIONS

TELECOMMUNICATIONS

RETAIL

RETAIL

2019 SPEAKERS

Additional speakers to be added.

Jensen Huang

NVIDIA
Founder and CEO

Opening Keynote

PIETER ABBEEL

UC BERKELEY / OPEN AI / GRADESCOPE
Professor

Deep Learning for Robotics

ELLEN DU

THE DOW CHEMICAL COMPANY
Research Scientist

Molecular Generative VAEs: Parallelization, Optimization, and Latent Space Analysis on the DGX-1

BAIDU
Research Lead

Reaching Beyond Human Accuracy With AI Datacenters

MARCO SCHREYER

GERMAN RESEARCH CENTER FOR ARTIFICIAL INTELLIGENCE
Researcher

Creation of Adversarial Accounting Records to Attack Financial Statement Audits

RIMA ARNAOUT

UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
Assistant Professor

Next-Generation Diagnostics for Cardiovascular Disease

MAGNUS HYTTSTEN

GOOGLE
Developer Advocate

Getting Started with Machine Learning on GPUs

BRYAN CATANZARO

NVIDIA
VP of Applied Deep Learning Research

Applied Deep Learning Research at NVIDIA

DAMIEN FAGNOU

TECHNICOLOR
SVP Technology & Infrastructure, Production Services

Genesis: Real-Time Raytracing in Virtual Production

DANIEL RUBIN

STANFORD UNIVERSITY
Professor of Biomedical Data Science, Radiology, and Medicine

Frontiers of AI in Medicine: Overcoming Current Challenges and Moving Beyond Classification

LIZY JOHN

UNIVERSITY OF TEXAS
B. N. Gafford Professor

Demystifying Deep Learning Infrastructure Choices using MLPerf Benchmark Suite

WINSTON HSU

NATIONAL TAIWAN UNIVERSITY
Professor

Face Recognition: from Scientific Research to Commercial Products

PETER DECREM

CITI
Director

Using AI Machine Learning to Explore Large Streaming Financial Data Sets to Improve Market Making

FANGCHANG MA

MASSACHUSETTS INSTITUTE OF TECHNOLOGY
Ph.D. Candidate

Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera

AVANTI SHRIKUMAR

STANFORD UNIVERSITY
PhD Student

Understanding Genome Regulation with Interpretable Deep Learning

NEIL TENENHOLTZ

MGH & BWH CENTER FOR CLINICAL DATA SCIENCE
Director of Machine Learning

Scalable Development and Deployment of Machine Learning Algorithms in a Clinical Setting

BENJAMIN HERNANDEZ

OAK RIDGE NATIONAL LABORATORY
Computer Scientist

GPU enhanced collaborative scientific visualization

JOHN ROMEIN

ASTRON (NETHERLANDS INSTITUTE FOR RADIO ASTRONOMY)
Senior Researcher

Extreme Signal-Processing Performance using Tensor Cores

STEPHEN JONES

NVIDIA
Principal Software Engineer

CUDA - New Features and Beyond

SHUTAO SONG

TENCENT TECHNOLOGY(BEIJING) CO., LTD
Senior Software Engineer

Training ImageNet in Four Minutes

RICHARD HUDDLESTON

MORGAN STANLEY
Executive Director

Accelerated Deep Learning Applied to Algorithmic Trading: Some Lessons Learned

TRISTA CHEN

INVENTEC CORPORATION
Chief Scientist of Machine Learning

Edge AI in Smart Manufacturing: Defect Detection and Beyond

THORSTEN KURTH

LAWRENCE BERKELEY NATIONAL LABORATORY
Application Performance Specialist

Exascale Deep Learning for Climate Analytics

LUCAS AMMANN

ABVENT / TWINMOTION
R&D Engineer

Complementarity between GPU Real-Time Rendering and GPU Pathtracing for Architectural Visualization

OLIVIER BREULEUX

MILA
Computer Analyst

Deep Learning with Myia

CARL CASE

NVIDIA
Senior Architect

Mixed Precision Training of Deep Neural Networks

WES ARMOUR

OXFORD ERESEARCH CENTER, DEPARTMENT OF ENGINEERING SCIENCE, UNIVERSITY OF OXFORD
Director

AstroAccelerate - GPU enabled Signal Processing on the path to the Square Kilometre Array

MATTHEW COOK

BMW GROUP
Data Scientist

Real Time Vehicle Inspection With AI Aided Computer Vision

LEX FRIDMAN

MIT
Research Scientist

Human-Centered Autonomous Vehicle

JULES URBACH

OTOY INC.
CEO

Real-Time Raytracing and Holographic Media: The Developing World of Entertainment

DANIEL EGLOFF

FLINK AI
CEO and Head of R&D

Deep Reinforcement Applications in Finance with Streaming Event Data

JIQUN TU

COLUMBIA UNIVERSITY
Graduate Student

Lattice QCD with Tensor Cores

JIRI KRAUS

NVIDIA
Senior Devtech Compute

Multi GPU Programming Models

JEFF LARKIN

NVIDIA
Senior DevTech Software Engineer

Zero to GPU Hero with OpenACC

JOHN STONE

UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
Senior Research Programmer

Bringing State-of-the-Art GPU Accelerated Molecular Modeling Tools to the Research Community

CARLOS ESCAPA

AWS
Global Lead, AI/ML Consulting Practice

Framing Business Problems As Machine Learning Problems

Special Offers

ALUMNI SAVINGS
Past attendees at any global GTC receive 40% off regular rates through January 18, 2019.

ACADEMIC, GOVERNMENT & NON-PROFIT SAVINGS
Receive a 50% discount when you register with a university, government, or non-profit email address. Must present credentials at check-in to receive badge.

GROUP SAVINGS
Purchase 5 or more of the same pass type to receive a 25% discount when you register.

2018 SPONSORS

Interested in sponsoring, exhibiting or partnering at GTC 2019? Contact us for details.

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GOLD SPONSORS

SILVER SPONSORS

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