Present your latest breakthroughs at GTC

The GTC 2023 call for submissions is now closed. If you have any questions, please contact us at GTC_Content@nvidia.com.

NVIDIA GTC is returning on March 20-23, 2023 with a ton of exciting new content and speakers. This virtual event will bring together a broad community of developers, researchers, engineers, and innovators with the common goal of sharing their successes while discovering new technologies and tools that are driving change around the globe. We hope you’ll join us at GTC. If you’re interested in presenting your work at a future GTC, please fill out our presenter interest form and we’ll notify you when our next open call for submissions is available.   

GTC Criteria and Due Dates

GTC 2023 open call for submissions is now closed.

Talks Posters Training Labs
Criteria
Submissions must be about your work using NVIDIA technology. It can be work that’s been completed or currently in progress.


Submissions must provide actual or expected results/accomplishments and demonstrate a significant innovation or improvement.



Research posters from academia and industry must demonstrate work using NVIDIA technology.


Submissions must provide actual or expected results/accomplishments and demonstrate a significant innovation or improvement.


Submissions must be in the form of instructor-led, hands-on training and empower learners to create GPU, DPU, and NVIDIA software applications. Key areas of focus include, but are not limited to:
Omniverse - USD or other application areas of interest to developers and users

Nerf
Rapids+Spark
CuNumeric
Graph neural networks
ACE
CuOpt
Simulation technology
Isaac Sim
Reinforcement learning

Submissions should not be a product demo or a talk.
Submissions Closed Monday, October 24, 2022 at 5:00 p.m. PDT Monday, October 24, 2022 at 5:00 p.m. PDT Monday, October 24, 2022 at 5:00 p.m. PDT
Final Notification Friday, December 16, 2022 at 5:00 p.m. PST Friday, January 13, 2023 at 5:00 p.m. PST Friday, December 16, 2022 at 5:00 p.m. PST

Call for Talks

NVIDIA GTC is a conference dedicated to sharing ideas and innovative approaches, and exploring how accelerated computing and AI are transforming how we work and live.

A submission is selected based on the value it will bring to the GTC community. Submission will be evaluated for:

  • Technical details, performance results offered, and insights to be learned or 
  • Business use cases that show innovative application of NVIDIA technology and are compelling to a broad audience.
  • Relevance and timeliness of the presentation to accelerated computing
  • Presenter's credentials and subject matter expertise
  • Presenter's public speaking experience(s)

Call for Posters

Research posters from academia and industry must demonstrate work using GPUs. Submissions must provide actual or expected results/accomplishments and must demonstrate a significant innovation or improvement using GPU computing.

Call for Training Labs

Submissions should provide a 120-minute hands-on learning experience using GPU, DPU, or NVIDIA software technology and will be hosted on the DLI platform. For a brief overview of the process, please refer to the platform guidelines.

  • Technical details and performance results offered and insights to be learned
  • Relevance and timeliness of the presentation to GPU or DPU computing, or software acceleration


If your submission is focused on a service, technology, or new product your company is offering, please contact gtc-sales@nvidia.com for information on sponsored session opportunities.

Speakers of accepted sessions receive:

> Complimentary registration for GTC
> Visibility to thousands of attendees from around the world
> Marketing tools to help bring even greater visibility to your work

* Registration is non-transferable.

Explore 2023 Conference Topics and Industries

Topics

Accelerated Computing and Development Tools

  • Algorithms/Numerical Techniques
  • Libraries/Runtimes
  • Performance Optimization
  • Profilers/Debuggers/Code Analysis
  • Programming Languages/Compilers

AECO & Manufacturing Topics

  • Building and Infrastructure
  • Electronics Design Automation
  • Inspection/Predictive Maintenance/Logistics
  • Product Development

Applied AI

  •  Conversational AI/NLP
  • Recommenders/Personalization
  • Video Conferencing & Real-Time Communications

Autonomous Machines

  • Reinforcement Learning
  • Robotics
  • Robotics Research

Autonomous Vehicles

Computer Vision

  • Image Processing
  • AI Video Analytics
  • Computer Vision Research

Cybersecurity/Fraud Detection
Data Center/Networking/Virtualization

  • Networking
  • Virtualization
  • Data Center/Cloud-Business Strategy
  • Data Center/Cloud Infrastructure–Technical
  • Data Center CPUs

Data Science and Machine Learning

  • Data Science
  • MLOps

Deep Learning

  • Frameworks
  • Inference
  • Training

Edge Computing

  • Edge AI
  • Signal and Sensor Processing

Graphics & Media

  • AI Applications, Art
  • Animation/VFX/Virtual Production
  • Live Video Production
  • Production Rendering and Ray Tracing
  • Real-Time Rendering and Ray Tracing
  • XR (Virtual and Augmented Reality)

HPC

  • Astronomy/Astrophysics
  • Climate/Weather/Ocean Modeling
  • Computational Chemistry and Materials Science
  • Computational Fluid Dynamics
  • Computational Physics
  • Quantum Computing
  • Scientific Visualization
  • Supercomputing

Healthcare Topics

  • Drug Discovery
  • Genomics
  • Medical Devices
  • Smart Hospitals

Metaverse Applications

  • 3D Workflows
  • World Simulation and Digital Twins

Retail Intelligent Stores/Logistics/Data Science


Industries

  • Academia/Higher Education
  • Aerospace
  • Agriculture
  • Architecture/Engineering/Construction
  • Automotive/Transportation
  • Cloud Services
  • Consumer Internet
  • Energy
  • Financial Services
  • Gaming
  • Hardware/Semiconductor
  • Healthcare and Life Sciences
  • HPC/Supercomputing
  • Manufacturing
  • Media & Entertainment
  • Public Sector
  • Restaurants/Quick-Service
  • Retail/Consumer Packaged Goods
  • Smart Cities/Spaces
  • Telecommunications

NVIDIA Developer Program

Access the latest tools and training you need to successfully build applications on all NVIDIA technology platforms.

If you have any questions, contact us at GTC_Content@nvidia.com.