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Conference & Trainings March 21-24, 2022
 | 
Keynote March 22   
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March 22, 2022 8:00 a.m. PDT (4:00 p.m. CET)


EXPLORE AI, OMNIVERSE, AND BEYOND AT THE GTC KEYNOTE

Join CEO Jensen Huang to see how NVIDIA’s new computing platforms, robotics
advances, and breakthroughs in virtual collaboration are transforming every
industry.

ADD TO SCHEDULE



EXPLORE AI, OMNIVERSE, AND BEYOND AT THE GTC KEYNOTE


JOIN CEO JENSEN HUANG TO SEE HOW NVIDIA’S NEW COMPUTING PLATFORMS, ROBOTICS
ADVANCES, AND BREAKTHROUGHS IN VIRTUAL COLLABORATION ARE TRANSFORMING EVERY
INDUSTRY.


SESSIONS



 * TARGETED AGENDA - MARKETING - KEYNOTE
   
    * 
    * Keynote
      Keynote
      Keynote
      English
      Keynote
      Keynote
      All Industries
      Business / Executive
      Business / Executive
      Business Executive
      NGC
      Arm CPU
      BlueField DPU
      Cloud / Data Center GPU
      DRIVE
      Grace CPU
      Jetson
      RTX GPU
      AGX
      DGX
      EGX
      HGX
      CloudXR
      CUDA
      DeepStream
      DOCA
      Fleet Command
      Morpheus
      NSight
      OpenACC
      TAO / TLT
      TensorRT
      Triton Inference Server
      Aerial
      Clara
      DRIVE SDK
      HPC SDK
      Isaac
      Riva
      Maxine
      Merlin
      Omniverse
      RAPIDS
      Rivermax
      Infiniband Networking
      Ethernet Networking
      Metropolis
      OptiX
      DXR
      All Sessions
      Scheduled Sessions
      <div class="md-frame" style="margin-top: 10.0px;margin-bottom:
      0.0px;"><div class="md-frame-body" style="padding:
      10.0px;"><strong>Bridget Johnson</strong><strong style="margin-left:
      10.0px;">01/04/22 </strong><br /><p style="padding-top: 5.0px;">accepting.
      keynote session.</p></div></div>
      Simulive
      Simulive
      AI Strategy for Business Leaders
      1
      Keynote S42295
      1
      8:00 a.m. Tuesday, Mar 22
      Tuesday, Mar 22
      GTC 2022 Keynote [S42295]
      Expand
       
      
      Don't miss this keynote from NVIDIA Founder and CEO, Jensen Huang, as he
      speaks on the future of computing.
      
      Jensen Huang , Founder and CEO, NVIDIA
      
       * Add to Schedule
         Tuesday, March 2203:00 PM - 05:00 PM GMT
         Room 1

2

 * 
 * Talk
   High
   Conference Talks & Panels
   Conference Talks & Panels
   All Industries
   Intermediate Technical
   Intermediate Technical
   Business Executive
   All Sessions
   Scheduled Sessions
   <div class="md-frame" style="margin-top: 10.0px;margin-bottom: 0.0px;"><div
   class="md-frame-body" style="padding: 10.0px;"><strong>Jessa
   Carmack</strong><strong style="margin-left: 10.0px;">02/08/22 </strong><br
   /><p style="padding-top: 5.0px;">Accepting. Invited. </p></div></div><div
   class="md-frame" style="margin-top: 10.0px;margin-bottom: 0.0px;"><div
   class="md-frame-body" style="padding: 10.0px;"><strong>Jessa
   Carmack</strong><strong style="margin-left: 10.0px;">02/10/22 </strong><br
   /><p style="padding-top: 5.0px;">put 'in review' momentarily so we can send
   schedule confirmation email - Andrew does not need</p></div></div><div
   class="md-frame" style="margin-top: 10.0px;margin-bottom: 0.0px;"><div
   class="md-frame-body" style="padding: 10.0px;"><strong>Jessa
   Carmack</strong><strong style="margin-left: 10.0px;">03/01/22 </strong><br
   /><p style="padding-top: 5.0px;">recording with NVIDIA production via vMix
   (Cara is recording producer)</p></div></div>
   Simulive
   Simulive
   Deep Learning - Training
   2
   1
   9:00 a.m. Wednesday, Mar 23
   Wednesday, Mar 23
   The Data-centric AI Movement [S42658]
   Expand
    
   
   Data-centric AI is a growing movement that shifts the engineering focus in AI
   systems from the model to the data. However, data-centric AI faces many open
   challenges, including measuring data quality, data iteration, and engineering
   data as part of the machine learning project workflow, data management tools,
   crowdsourcing, data augmentation and synthesis, as well as responsible AI.
   We'll explain the key pillars of data-centric AI, identify the trends in
   data-centric AI movement, and set a vision for taking ideas applied
   intuitively by a handful of experts and synthesizing them into tools that
   make the application systematic for all. Bryan Catanzaro will host a Q&A
   discussion with Andrew Ng at the end of this session.
   
   Andrew Ng , Founder, Founder and CEO, DeepLearning.AI, Landing AI
   
   Bryan Catanzaro , Vice President, Applied Deep Learning Research, NVIDIA
   
    * Add to Schedule
      Wednesday, March 2304:00 PM - 04:50 PM GMT
      Room 26

3

 * 
 * Talk
   English
   Conference Talks & Panels
   Conference Talks & Panels
   All Industries
   Intermediate Technical
   Intermediate Technical
   Developer / Engineer
   All Sessions
   Developer Talks
   Scheduled Sessions
   <div class="md-frame" style="margin-top: 10.0px;margin-bottom: 0.0px;"><div
   class="md-frame-body" style="padding: 10.0px;"><strong>Jessa
   Carmack</strong><strong style="margin-left: 10.0px;">12/20/21 </strong><br
   /><p style="padding-top: 5.0px;">This will be for Trustworthy AI hours. Added
   the backend tag.</p></div></div><div class="md-frame" style="margin-top:
   10.0px;margin-bottom: 0.0px;"><div class="md-frame-body" style="padding:
   10.0px;"><strong>Jessa Carmack</strong><strong style="margin-left:
   10.0px;">01/06/22 </strong><br /><p style="padding-top: 5.0px;">Updated title
   & description received from Nikki 1/5. Need Anima
   confirmation.</p></div></div><div class="md-frame" style="margin-top:
   10.0px;margin-bottom: 0.0px;"><div class="md-frame-body" style="padding:
   10.0px;"><strong>Jessa Carmack</strong><strong style="margin-left:
   10.0px;">01/10/22 </strong><br /><p style="padding-top: 5.0px;">Updated
   abstract from Anima (sent 1/10)</p></div></div><div class="md-frame"
   style="margin-top: 10.0px;margin-bottom: 0.0px;"><div class="md-frame-body"
   style="padding: 10.0px;"><strong>Jessa Carmack</strong><strong
   style="margin-left: 10.0px;">01/12/22 </strong><br /><p style="padding-top:
   5.0px;">Accepted per Nikki, Ned, Michael, Meagan on call. Anima agreed to do
   talk & confirmed details. </p></div></div>
   Simulive
   Simulive
   AI Strategy for Business Leaders
   Wednesday, Mar 23
   1:00 p.m. Wednesday, Mar 23
   Measuring and Mitigating Bias in AI [S42263]
   Expand
    
   
   Our rapid progress in AI needs to be coupled with measures to ensure that
   it's deployed responsibly and ethically. Trustworthy or responsible AI aims
   to minimize unintended harm from AI deployments while maximizing benefits.
   This multidisciplinary area can encompasses many facets: explainability,
   robustness, undesirable bias, privacy, and model governance. We'll describe
   how to define, measure, and mitigate these issues, and introduce recent
   principled AI algorithms designed to satisfy the requirements. We'll
   illustrate with different use cases and include technical information. This
   session is meant for people in strategic planning and policy development.
   
   Anima Anandkumar , Director of ML Research, NVIDIA
   
    * Add to Schedule
      Wednesday, March 2308:00 PM - 08:50 PM GMT
      Room 5

5

 * 
 * Talk
   Medium
   English
   Conference Talks & Panels
   Conference Talks & Panels
   Manufacturing
   Intermediate Technical
   Intermediate Technical
   Research: Non-Academic
   Cloud / Data Center GPU
   RTX GPU
   CUDA
   All Sessions
   Developer Talks
   Scheduled Sessions
   <div class="md-frame" style="margin-top: 10.0px;margin-bottom: 0.0px;"><div
   class="md-frame-body" style="padding: 10.0px;"><strong>Kate
   Murphy</strong><strong style="margin-left: 10.0px;"> [2022-1-4] </strong><br
   /><p style="padding-top: 5.0px;">SG votes 5 and accepted in
   meeting</p></div></div><div class="md-frame" style="margin-top:
   10.0px;margin-bottom: 0.0px;"><div class="md-frame-body" style="padding:
   10.0px;"><strong>Kate Murphy</strong><strong style="margin-left:
   10.0px;">12/20/21 </strong><br /><p style="padding-top: 5.0px;">Moved to
   reinforcement learning</p></div></div><div class="md-frame"
   style="margin-top: 10.0px;margin-bottom: 0.0px;"><div class="md-frame-body"
   style="padding: 10.0px;"><strong>Jessa Carmack</strong><strong
   style="margin-left: 10.0px;">01/17/22 </strong><br /><p style="padding-top:
   5.0px;">From speaker via email 1/16: "Hi NVIDIA team, I am likely unavailable
   on Monday after 2:30 pm, Tuesday after 12 pm, Wednesday after 1 pm, and all
   day Thursday. I'm happy to present Monday before 2:30 pm, Tuesday before 12
   pm, or Wednesday before 1 pm. Thanks, Chelsea"</p></div></div>
   Simulive
   Simulive
   Autonomous Machines - Reinforcement Learning
   6
   4
   10:00 a.m. Tuesday, Mar 22
   Tuesday, Mar 22
   Scaling Data-driven Robot Learning [S42252]
   Expand
    
   
   Recent progress in robot learning has found that robots can acquire complex
   visuomotor manipulation skills through trial and error. Despite these
   successes, the generalization and versatility of robots across environment
   conditions, tasks, and objects remains a major challenge. And, unfortunately,
   our existing algorithms and training setups aren't prepared to tackle such
   challenges, which demand large and diverse sets of tasks and experiences.
   This is because robots are typically trained using online data collection,
   using data collected entirely from scratch in a single lab environment. I'll
   propose a paradigm for robot learning where we continuously accumulate,
   leverage, and reuse broad offline datasets across papers — much like the rest
   of machine learning, but notably under-explored for robotic manipulation.
   
   Chelsea Finn , Assistant Professor, Stanford University
   
    * Add to Schedule
      Tuesday, March 2205:00 PM - 05:25 PM GMT
      Room 23

6

 * 
 * Talk
   Medium
   Conference Talks & Panels
   Conference Talks & Panels
   Automotive / Transportation
   Intermediate Technical
   Intermediate Technical
   Developer / Engineer
   All Sessions
   Developer Talks
   Scheduled Sessions
   <div class="md-frame" style="margin-top: 10.0px;margin-bottom: 0.0px;"><div
   class="md-frame-body" style="padding: 10.0px;"><strong>Jessa
   Carmack</strong><strong style="margin-left: 10.0px;">02/14/22 </strong><br
   /><p style="padding-top: 5.0px;">Updated title & abstract agreed on by
   Danny/Maggie/Christina</p></div></div><div class="md-frame"
   style="margin-top: 10.0px;margin-bottom: 0.0px;"><div class="md-frame-body"
   style="padding: 10.0px;"><strong>Jessa Carmack</strong><strong
   style="margin-left: 10.0px;">02/16/22 </strong><br /><p style="padding-top:
   5.0px;">Accepting as this session was approved by AV team. </p></div></div>
   Simulive
   Simulive
   Autonomous Vehicles
   Wednesday, Mar 23
   7:00 a.m. Wednesday, Mar 23
   Building a Next Generation Autonomous Driving System with the Waabi World
   High-Fidelity, Closed-Loop Simulator [S42694]
   Expand
    
   
   In this session, Waabi’s CEO, Raquel Urtasun, will discuss the groundbreaking
   "AI-first" approach to accelerate autonomy development, especially for
   autonomous trucking. At her first GTC talk since the company came out of
   stealth mode, she will also provide an overview of Waabi World, the scalable,
   high-fidelity closed-loop simulator poised to rapidly and safely help
   commercialize self-driving technology.
   
   Raquel Urtasun , Founder and CEO, Waabi
   
    * Add to Schedule
      Wednesday, March 2302:00 PM - 02:50 PM GMT
      Room 2

7

 * 
 * Talk
   Low
   English
   Conference Talks & Panels
   Conference Talks & Panels
   Retail
   Advanced Technical
   Advanced Technical
   Research: Non-Academic
   RTX GPU
   All Sessions
   Developer Talks
   Scheduled Sessions
   <div class="md-frame" style="margin-top: 10.0px;margin-bottom: 0.0px;"><div
   class="md-frame-body" style="padding: 10.0px;"><strong>Bridget
   Johnson</strong><strong style="margin-left: 10.0px;"> [2021-12-16]
   </strong><br /><p style="padding-top: 5.0px;">bridget ask Mark Moyou to
   double check details in description for catalog, ready to
   accept</p></div></div><div class="md-frame" style="margin-top:
   10.0px;margin-bottom: 0.0px;"><div class="md-frame-body" style="padding:
   10.0px;"><strong>Bridget Johnson</strong><strong style="margin-left:
   10.0px;">12/16/21 </strong><br /><p style="padding-top: 5.0px;">Lisa- we
   accepted this under Retail </p></div></div><div class="md-frame"
   style="margin-top: 10.0px;margin-bottom: 0.0px;"><div class="md-frame-body"
   style="padding: 10.0px;"><strong>Bridget Johnson</strong><strong
   style="margin-left: 10.0px;">12/17/21 </strong><br /><p style="padding-top:
   5.0px;">updated topic tag per email with joey and ann</p></div></div><div
   class="md-frame" style="margin-top: 10.0px;margin-bottom: 0.0px;"><div
   class="md-frame-body" style="padding: 10.0px;"><strong>Bridget
   Johnson</strong><strong style="margin-left: 10.0px;">12/20/21 </strong><br
   /><p style="padding-top: 5.0px;">Mark confirmed this is good to
   go</p></div></div>
   Simulive
   Simulive
   Retail – Intelligent Stores / Logistics / Data Science
   3
   5
   1
   2
   7
   1:00 p.m. Tuesday, Mar 22
   Tuesday, Mar 22
   Building AI-based Recommender System Leveraging the Power of Deep Learning
   and GPU [S41535]
   Expand
    
   
   Recommender systems play a crucial role in any ecommerce platform. Therefore,
   it's very important to build a personalized, scalable, and reliable
   recommender system that proactively helps shoppers discover products that
   engage them while on the website, and then reengage them with products and
   content that align with their interest after they leave the website via
   email, social media, or other marketing channels. I'll cover our
   transformation at The Home Depot to an AI-based recommender system leveraging
   the power of deep learning and GPU. We'll discuss how we train and deploy
   real-time deep-learning models to enable personalized recommendations at
   scale.
   
   Khalifeh AlJadda , Senior Director of Data Science, The Home Depot
   
    * Add to Schedule
      Tuesday, March 2208:00 PM - 08:25 PM GMT
      Room 6

9

 * 
 * Talk
   Low
   English
   Conference Talks & Panels
   Conference Talks & Panels
   Automotive / Transportation
   Intermediate Technical
   Intermediate Technical
   Business Executive
   Developer / Engineer
   All Sessions
   Developer Talks
   Scheduled Sessions
   <div class="md-frame" style="margin-top: 10.0px;margin-bottom: 0.0px;"><div
   class="md-frame-body" style="padding: 10.0px;"><strong>Jessa
   Carmack</strong><strong style="margin-left: 10.0px;">01/31/22 </strong><br
   /><p style="padding-top: 5.0px;">Updated title & abstract based on submission
   from MB and Katie W/ Danny copy edits. </p></div></div><div class="md-frame"
   style="margin-top: 10.0px;margin-bottom: 0.0px;"><div class="md-frame-body"
   style="padding: 10.0px;"><strong>Jessa Carmack</strong><strong
   style="margin-left: 10.0px;">01/31/22 </strong><br /><p style="padding-top:
   5.0px;">Updated title & abstract from clarification from
   Danny/Steffen.</p></div></div><div class="md-frame" style="margin-top:
   10.0px;margin-bottom: 0.0px;"><div class="md-frame-body" style="padding:
   10.0px;"><strong>Jessa Carmack</strong><strong style="margin-left:
   10.0px;">01/31/22 </strong><br /><p style="padding-top: 5.0px;">Do not reach
   out directly to Magnus. Always include Steffen Aubele, Danny Shapiro, Ali
   Kani, Kimberly Moore, Katie Washabaugh. </p></div></div><div class="md-frame"
   style="margin-top: 10.0px;margin-bottom: 0.0px;"><div class="md-frame-body"
   style="padding: 10.0px;"><strong>Jessa Carmack</strong><strong
   style="margin-left: 10.0px;">01/31/22 </strong><br /><p style="padding-top:
   5.0px;">Accepted session as this was invited. (Danny, Kimberly, Ali,
   Steffen).</p></div></div><div class="md-frame" style="margin-top:
   10.0px;margin-bottom: 0.0px;"><div class="md-frame-body" style="padding:
   10.0px;"><strong>Jessa Carmack</strong><strong style="margin-left:
   10.0px;">02/25/22 </strong><br /><p style="padding-top: 5.0px;">approved to
   submit final recording file & presentation on 3/17-3/18.</p></div></div><div
   class="md-frame" style="margin-top: 10.0px;margin-bottom: 0.0px;"><div
   class="md-frame-body" style="padding: 10.0px;"><strong>Jessa
   Carmack</strong><strong style="margin-left: 10.0px;">03/08/22 </strong><br
   /><p style="padding-top: 5.0px;">extension approved to submit 3/18 - but
   Jessa will push for 3/16 submission</p></div></div>
   Simulive
   Simulive
   Autonomous Vehicles
   2
   1
   4
   10:00 a.m. Tuesday, Mar 22
   Tuesday, Mar 22
   Creating Software for the Most Desirable Cars [S42395]
   Expand
    
   
   Software-based features in cars are impacting the customer experience more
   than ever. This is as true for Mercedes-Benz as for any other manufacturer,
   and is particularly important for a luxury brand with sophisticated
   customers. Magnus Östberg will give insights into Mercedes-Benz Group’s
   software strategy and the key success factors to create digital luxury.
   
   Magnus Östberg , Chief Software Officer, Mercedes-Benz RDNA
   
    * Add to Schedule
      Tuesday, March 2205:00 PM - 05:25 PM GMT
      Room 2

Talk
English
Conference Talks & Panels
Conference Talks & Panels
Consumer Internet
Intermediate Technical
Intermediate Technical
Developer / Engineer
Cloud / Data Center GPU
All Sessions
Developer Talks
Scheduled Sessions
<div class="md-frame" style="margin-top: 10.0px;margin-bottom: 0.0px;"><div
class="md-frame-body" style="padding: 10.0px;"><strong>Bridget
Johnson</strong><strong style="margin-left: 10.0px;">01/26/22 </strong><br /><p
style="padding-top: 5.0px;">consumer internet talk</p></div></div><div
class="md-frame" style="margin-top: 10.0px;margin-bottom: 0.0px;"><div
class="md-frame-body" style="padding: 10.0px;"><strong>Kate
Murphy</strong><strong style="margin-left: 10.0px;">02/04/22 </strong><br /><p
style="padding-top: 5.0px;">Subhan approved</p></div></div>
Simulive
Simulive
Deep Learning - Training
Wednesday, Mar 23
10:00 a.m. Wednesday, Mar 23
Scale and Accelerate the Distributed Model Training in Kubernetes Cluster
[S42498]
Expand
 

In order to orchestrate deep learning workloads that scale across multiple GPUs
and nodes, Kubernetes offers a compelling solution. With Kubernetes and Kubeflow
PyTorch, we can easily schedule and track a distributed training job on
single-GPU multi-node, multi-GPU single-node, and multi-GPU multi-nodes in a
shared GPU resource pool. To accelerate deep learning training at Zoom, we
enable RDMA, RoCE to bypass the CPU kernel and offload the TCP/IP protocol. We
apply this technology in Kubernetes with SRIOV by NVIDIA Network Operator in a
heterogenous GPUs cluster with four GPU servers and eight GPU servers. By
combining NVIDIA NCCL, Apex, and PyTorch PowerSGD, we can reach a near-linear
performance increase as the GPU number and worker node increases.

Jack Jin , Lead Machine Learning Infra Engineer, Zoom Video

Kaixing Wu , Machine Learning Engineer, Zoom

 * Add to Schedule
   Wednesday, March 2305:00 PM - 05:50 PM GMT
   Room 11

10

 * 
 * Talk
   Low
   English
   Conference Talks & Panels
   Conference Talks & Panels
   All Industries
   Business / Executive
   Business / Executive
   Research: Non-Academic
   RTX GPU
   All Sessions
   Developer Talks
   Scheduled Sessions
   <div class="md-frame" style="margin-top: 10.0px;margin-bottom: 0.0px;"><div
   class="md-frame-body" style="padding: 10.0px;"><strong>Kate
   Murphy</strong><strong style="margin-left: 10.0px;">02/04/22 </strong><br
   /><p style="padding-top: 5.0px;">Sid, Rafael, Boris say to
   accept</p></div></div>
   Simulive
   Simulive
   Conversational AI / NLP
   10
   11:00 a.m. Tuesday, Mar 22
   Tuesday, Mar 22
   Expressive Neural Text-to-speech [S42646]
   Expand
    
   
   Generating natural-sounding, human-like speech has been a goal of scientists
   for decades. Its use within products such as Alexa, Amazon’s popular voice
   service, coupled with recent advances in neural technology have transformed
   what's possible. Today, synthetically generated speech is more natural
   sounding than it has ever been, opening up new and technically challenging
   opportunities. Yet the pace of invention shows little sign of slowing. We'll
   give a high-level overview of recent developments, demonstrate how far we’ve
   progressed over the last five years, provide an introduction to the
   approaches adopted, and discuss future technical challenges and directions.
   
   Andrew Breen , Senior Manager Text-to-Speech Research, Amazon
   
    * Add to Schedule
      Tuesday, March 2206:00 PM - 06:50 PM GMT
      Room 8

11

 * 
 * Talk
   English
   Conference Talks & Panels
   Conference Talks & Panels
   Automotive / Transportation
   Intermediate Technical
   Intermediate Technical
   Artist / Designer
   RTX GPU
   Omniverse
   OptiX
   DXR
   All Sessions
   Developer Talks
   Scheduled Sessions
   
   Simulive
   Simulive
   3D Design Collaboration
   1
   2
   1:00 a.m. Thursday, Mar 24
   Thursday, Mar 24
   A Vision of Digital Design [S42390]
   Expand
    
   
   Discover how BMW Group Design is using Nvidia Omniverse to enable seamless
   collaboration in the Digital Design process. You will learn how we are using
   Nvidia Omniverse to deliver our Vision of Digital Design. We are going to
   talk about the platform itself as well about possibility to optimize and
   improve our toolchain whilst working together more collaboratively. This
   session will demonstrate how we are progressing towards our goal.
   
   Gareth Rogers , Head of Visualisation, VR, Images and Film, BMW Group Design
   
   Philipp Oehler , Specialist Visualisation, BMW Group Design
   
    * Add to Schedule
      Thursday, March 2408:00 AM - 08:25 AM GMT
      Room 6

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