GTC PRICING AND
REGISTRATION

Special Offers

ACADEMIC, GOVERNMENT & NON-PROFIT SAVINGS
Save 50% (except on DLI workshops and Thursday Only Passes) when you register with a university, government, or non-profit email address. Must present credentials at check-in to receive badge.

GROUP SAVINGS***
Purchase 3 or more of the same pass type to receive a 30% discount off each pass when you register.

Pricing

Register for a Conference & Training, Conference, or Exhibits pass.
You can also add a March 22 DLI Workshop for $375.

SEE WHAT'S INCLUDED
CONFERENCE & TRAINING PASSES EARLY RATE
Ends February 13
 REGULAR RATE
Ends March 16
CONFERENCE & TRAINING + WORKSHOP BUNDLE* $2,235.00 $2,555.00
CONFERENCE & TRAINING* $1,860.00 $2,180.00
ONE-DAY CONFERENCE & TRAINING* $930.00 $1,090.00
GROUP SAVINGS - PURCHASE 3 OR MORE OF THE SAME PASS TYPE TO RECEIVE A 30% DISCOUNT.***
CONFERENCE PASSES EARLY RATE
Ends February 13
 REGULAR RATE
Ends March 16
CONFERENCE* $1,580.00 $1,820.00
ONE-DAY CONFERENCE* $790.00 $910.00
GROUP SAVINGS - PURCHASE 3 OR MORE OF THE SAME PASS TYPE TO RECEIVE A 30% DISCOUNT.***
HPC SUMMIT AND JETSON DEVELOPER DAYS PASSES EARLY RATE
Ends February 13
 REGULAR RATE
Ends March 16
HPC SUMMIT PASS*
 
$790.00 $910.00
JETSON DEVELOPER PASS*
 
$790.00 $910.00
THURSDAY-ONLY JETSON DEVELOPER DAY**
 
 		$75.00 $75.00
GROUP SAVINGS - PURCHASE 3 OR MORE OF THE SAME PASS TYPE TO RECEIVE A 30% DISCOUNT.***
EXHIBITS ONLY PASSES EARLY RATE
Ends February 13
 REGULAR RATE
Ends March 16
Exhibits Only** $250.00 $300.00
Thursday Exhibits Only** $75.00 $75.00
*50% discount available for educational institutions, government agencies and non-profit organizations. Must register with university, government, or non-profit issued email address to qualify, and present credentials at check-in to receive badge.
** Academic, Government and Non-Profit discounts are unavailable for this pass type.
***One person makes “Group Purchase” and triggers an email invitation send to others to complete pre-paid registration through the registration tool.

DEEP LEARNING INSTITUTE WORKSHOPS

Add one of these full-day, Sunday, March 22 workshops to your GTC pass.

DEEP LEARNING INSTITUTE WORKSHOPS RATE PER WORKSHOP
FUNDAMENTALS OF DEEP LEARNING FOR MULTI-GPUS
 
 		$375
FUNDAMENTALS OF ACCELERATED COMPUTING WITH CUDA C/C++
 
 		$375
FUNDAMENTALS OF ACCELERATED DATA SCIENCE WITH RAPIDS
 
 		$375
DEEP LEARNING FOR AUTONOMOUS VEHICLES - PERCEPTION
 
 		$375
APPLICATIONS OF AI FOR ANOMALY DETECTION
 
 		$375
APPLICATIONS OF AI FOR PREDICTIVE MAINTENANCE
 
 		$375
DEEP LEARNING INSTITUTE WORKSHOPS* $350
RATE PER WORKSHOP
FUNDAMENTALS OF ACCELERATED COMPUTING WITH CUDA PYTHON
 
 		SEATS AVAILABLE
FUNDAMENTALS OF DEEP LEARNING FOR MULTI-GPUS
 
 		SEATS AVAILABLE
FUNDAMENTALS OF DEEP LEARNING FOR NATURAL LANGUAGE PROCESSING
 
 		SOLD OUT
DEEP LEARNING FOR INTELLIGENT VIDEO ANALYTICS
 
 		SEATS AVAILABLE
DEEP LEARNING FOR ROBOTICS
 
 		SOLD OUT
FUNDAMENTALS OF DEEP LEARNING FOR COMPUTER VISION
 
 		SEATS AVAILABLE

* Deep Learning Workshops are add-on packages. Register for Conference & Training, Conference, or Exhibits pass to be eligible to add workshop.

Register Now

PASS COMPARISON

PASS TYPE DLI WORKSHOP CONFERENCE
AND TRAINING		 CONFERENCE EXHIBITS ONLY THURSDAY EXHIBITS
INSTRUCTOR-LED TRAINING
SESSIONS, TALKS, & TUTORIALS
KEYNOTE
EXHIBITS
HPC SUMMIT
JETSON DEVELOPER DAYS
CONFERENCE MATERIALS*
LUNCH
DLI WORKSHOP ON SUNDAY, MARCH 22
*Conference materials include access to post event recordings and presentation files, and a GTC-branded bag.

REGISTRATION QUESTIONS

Having difficulty registering online? Please contact gtc_registration@nvidia.com for help, or leave a message at +1-408-486-2700, and we will return your call within 48 hours.

* Discount pricing available for educational institutions, government agencies and other non-profit organizations. Must register with government or university issued email address to qualify, and present credentials at check-in to receive badge.

Having difficulty registering online? Please contact gtc_registration@nvidia.com for help,
or leave a message at +1-408-486-2700, and we will return your call within 24 hours.

TABLE
CONFERENCE & TRAINING PASSES Ends Jan. 18
GTC Alumni Rate		 Ends Feb. 8
Early Rate		 Ends Mar. 15
Regular Rate
CONFERENCE & TRAINING $1,308 $1,860 $2,180
ONE-DAY CONFERENCE & TRAINING $654 $930 $1,090
CONFERENCE PASSES Ends JAN. 18
GTC Alumni Rate		 Ends Feb. 8
Early Rate		 Ends Mar. 15
Regular Rate
CONFERENCE $948 $1,580 $1,820
ONE-DAY CONFERENCE $546 $790 $910

*SAVINGS FOR EDUCATIONAL INSTITUTIONS, GOVERNMENT AGENCIES AND NON-PROFIT ORGANIZATIONS - 50% discount available. Must register with university, government, or non-profit email address to qualify, and present credentials at check-in to receive badge.
**GTC ALUMNI RATE - Save 40% through January 18.
***GROUP SAVINGS - Purchase 5 or more of the same pass type to receive a 25% discount.

Fundamentals of Accelerated Computing with CUDA C/C++

Prerequisites: Basic C/C++ competency including familiarity with variable types, loops, conditional statements, functions, and array manipulations.
Technologies: C/C++, CUDA

The CUDA computing platform enables the acceleration of CPU-only applications to run on the world’s fastest massively parallel GPUs. Experience C/C++ application acceleration by:

  • Accelerating CPU-only applications to run their latent parallelism on GPUs
  • Utilizing essential CUDA memory management techniques to optimize accelerated applications
  • Exposing accelerated application potential for concurrency and exploiting it with CUDA streams
  • Leveraging Nsight Systems to guide and check your work

Upon completion, you’ll be able to accelerate and optimize existing C/C++ CPU-only applications using the most essential CUDA techniques and Nsight Systems. You’ll understand an iterative style of CUDA development that will allow you to ship accelerated applications fast.

View Datasheet >

Fundamentals of Deep Learning for Multi-Gpus

Prerequisites: Experience with stochastic gradient descent mechanics, network architecture, and parallel computing
Technologies: TensorFlow

The computational requirements of deep neural networks used to enable AI applications like self-driving cars are enormous. A single training cycle can take weeks on a single GPU or even years for larger datasets like those used in self-driving car research. Using multiple GPUs for deep learning can significantly shorten the time required to train lots of data, making solving complex problems with deep learning feasible.

This workshop will teach you how to use multiple GPUs to train neural networks. You'll learn:

  • Approaches to multi-GPUs training
  • Algorithmic and engineering challenges to large-scale training
  • Key techniques used to overcome the challenges mentioned above

Upon completion, you'll be able to effectively parallelize training of deep neural networks using TensorFlow. 

View Datasheet >

Fundamentals of Accelerated Data Science with RAPIDS

Prerequisites: Experience with Python, ideally including pandas and NumPy
Technologies: RAPIDS, NumPy, XGBoost, DBSCAN, K-Means, SSSP, Python

RAPIDS is a collection of data science libraries that allows end-to-end GPU acceleration for data science workflows. In this training, you'll:

  • Use cuDF and Dask to ingest and manipulate massive datasets directly on the GPU
  • Apply a wide variety of GPU-accelerated machine learning algorithms, including XGBoost, cuGRAPH, and cuML, to perform data analysis at massive scale
  • Perform multiple analysis tasks on massive datasets in an effort to stave off a simulated epidemic outbreak affecting the UK

Upon completion, you'll be able to load, manipulate, and analyze data orders of magnitude faster than before, enabling more iteration cycles and drastically improving productivity.

View Datasheet >

Deep Learning for Autonomous Vehicles - Perception

Prerequisites: Experience with CNNs and C++
Technologies: TensorFlow, TensorRT, Python, CUDA C++, DIGITS

Learn how to design, train, and deploy deep neural networks for autonomous vehicles using the NVIDIA DRIVE™ development platform.

You'll learn how to:

  • ·Work with CUDA® code, memory management, and GPU acceleration on the NVIDIA DRIVE AGX™ System
  • Train a semantic segmentation neural network
  • Optimize, validate, and deploy a trained neural network using NVIDIA® TensorRT™

Upon completion, you'll be able to create and optimize perception components for autonomous vehicles using NVIDIA DRIVE.

View Datasheet >

Applications of AI for Anomaly Detection

Prerequisites: Experience with CNNs and Python
Technologies: RAPIDS, Keras, GANs, XGBoost

The amount of information moving through our world’s telecommunications infrastructure makes it one of the most complex and dynamic systems that humanity has ever built. In this workshop, you’ll implement multiple AI-based solutions to solve an important telecommunications problem: identifying network intrusions.

In this workshop, you’ll:

  • Implement three different anomaly detection techniques: accelerated XGBoost, deep learning-based autoencoders, and generative adversarial networks (GANs)
  • Build and compare supervised learning with unsupervised learning-based solutions
  • Discuss other use cases within your industry that could benefit from modern computing approaches

Upon completion, you'll be able to detect anomalies within large datasets using supervised and unsupervised machine learning.

View Datasheet >

Applications of AI for Predictive Maintenance

Prerequisites: Experience with Python and deep neural networks
Technologies: TensorFlow, Keras

Learn how to identify anomalies and failures in time-series data, estimate the remaining useful life of the corresponding parts, and use this information to map anomalies to failure conditions.

You’ll learn how to:

  • ·Leverage predictive maintenance to manage failures and avoid costly unplanned downtimes
  • Identify key challenges around identifying anomalies that can lead to costly breakdowns
  • Use time-series data to predict outcomes using machine learning classification models with XGBoost
  • Apply predictive maintenance procedures by using a long short-term memory ( LSTM)-based model to predict device failure
  • Experiment with autoencoders to detect anomalies by using the time-series sequences from the previous steps

Upon completion, you’ll understand how to use AI to predict the condition of equipment and estimate when maintenance should be performed.

View Datasheet >

HPC Summit pass includes access to evening reception on March 25, 2020 and to sessions, exhibits and lunch on Thursday, March 26, 2020 only.

The Jetson Developer Days 2-Day pass includes access to Jetson and robotics-specific sessions, instructor-led training, exhibits, lunch, community area activities and evening reception on March 25, 2020 as well as access to sessions and exhibits on Thursday, March 26, 2020 only.

For less than the cost of an NVIDIA® Jetson Nano™, the Jetson Developer 1-DAY Pass includes access for two sessions, exhibits and entry to the community area.

 

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