Call For submissions

Showcase your brilliant work at GTC 2022.

NVIDIA GTC is returning on March 21 - 24, 2022 with a ton of exciting new content and speakers. This event will bring together a broad community of developers, researchers, engineers, and innovators with the common goal of sharing their achievements while discovering new technologies and tools that drive change around the globe.

Sharing your work with the GTC community can bring a fresh perspective through attendee interaction, open doors to new opportunities, and expand your network. 

If your work with any of our GPU, DPU, or software offerings is making a difference, we want to hear your story. Please submit a proposal for a talk for the next  GTC in 2022.

2022 GTC Due Dates

Talks Posters
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 using NVIDIA Technology.
Details on what to submit
Start submission process
- 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 using NVIDIA Technology.
Details on what to submit
Start submission process
CLOSING TIME Friday, October 22, 2021 at 17:00 PST Friday, October 22, 2021 at 17:00 PST
FINAL NOTIFICATION January 2022 at 17:00 PST January 2022 at 17:00 PST

Call For Talks

Call for Proposal
  • Submissions should showcase how your work has advanced the use of NVIDIA technology. It can be completed work or work currently in progress, but it must provide actual or expected results/accomplishments.  

The GTC Content Committee will review, rate, and select submissions based on:

  • 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
  • The presenter’s credentials and expertise in the subject matter
  • The presenter’s public speaking experience(s)

If your submission is focused on a service, technology, or a new product your company is offering, please contact gtc-sales@nvidia.com for information on sponsored session opportunities. For vendor submissions, we still recommend that you stay away from sales pitches, as they are not win-win and will limit your audience size.  


Speakers of accepted talks 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.

Call For Posters

Call for Posters
  • Research posters from academia and industry must demonstrate work using GPU, DPU, or NVIDIA software technology.
  • Submissions must provide actual or expected results or accomplishments and demonstrate a significant innovation or improvement using GPU, DPU, or NVIDIA software technology.
  • The GTC Content Committee will review, rate, and select submissions based on: 
  • 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.

Do not submit a proposal focused on a service, technology, or new product that your company is offering, but please do contact us for information on sponsored session opportunities.

2022 Conference Topics and Industries


Topics

  •  3D Design Collaboration and Simulation
  •  AI Strategy for Business Leaders
  • Accelerated Computing and Development Tools
    - Algorithms/Numerical Techniques
    - Libraries/Runtimes
    - Performance Optimization
    - Profilers/Debuggers/Code Analysis
    - Programming Languages/Compilers
  • Autonomous Machines
    - Reinforcement Learning
    - Robotics
    - Robotics Research
  • Autonomous Vehicles
  • Building and Infrastructure - Design, Engineering, and Construction
  • Computer Vision
    - Image Processing
    - Intelligent Video Analytics
    - Research
  • Conversational AI/NLP
  • Cybersecurity/Fraud Detection
  • Data Center/Networking/Virtualization
    -Data Center/Cloud - Business Strategy
    -Data Center/Cloud Infrastructure – Technical
    -Data Center CPUs
    -Networking
    -Virtualization
  •  3D Design Collaboration and Simulation
  •  AI Strategy for Business Leaders
  • Accelerated Computing and Development Tools
    - Algorithms/Numerical Techniques
    - Libraries/Runtimes
    - Performance Optimization
    - Profilers/Debuggers/Code Analysis
    - Programming Languages/Compilers
  • Autonomous Machines
    - Reinforcement Learning
    - Robotics
    - Robotics Research
  • Autonomous Vehicles
  • Building and Infrastructure - Design, Engineering, and Construction
  • Computer Vision
    - Image Processing
    - Intelligent Video Analytics
    - Research
  • Conversational AI/NLP
  • Cybersecurity/Fraud Detection
  • Data Center/Networking/Virtualization
    -Data Center/Cloud - Business Strategy
    -Data Center/Cloud Infrastructure – Technical
    -Data Center CPUs
    -Networking
    -Virtualization
  • Data Science
  • Deep Learning
    - Frameworks
    - Inference
    - Training
  • Graphics
    - AI Applications, Art
    - Animation/VFX/Virtual Production
    - Production Rendering and Ray Tracing
    - Real-Time Rendering and Ray Tracing
  • HPC
    - Astronomy/Astrophysics
    - Climate/Weather/Ocean Modeling
    - Computational Chemistry and Materials Science
    - Computational Fluid Dynamics
    - Computational Physics
    - Quantum Computing
    - Scientific Visualization
    - Supercomputing
  • Healthcare
    - Drug Discovery and Genomics
    - Medical Imaging
    - Smart Hospitals and Instruments
  • IoT/5G/Edge
  • Manufacturing
    - Electronics Design Automation
    - Inspection/Predictive Maintenance/Logistics
  • Product Development – Design, Engineering and Manufacturing
  • Recommenders/Personalization
  • Retail – Intelligent Stores/Logistics/Data Science
  • Signal and Sensor Processing
  • Video Streaming/Conferencing
  • XR (Virtual and Augmented Reality)
  • Data Science
  • Deep Learning
    - Frameworks
    - Inference
    - Training
  • Graphics
    - AI Applications, Art
    - Animation/VFX/Virtual Production
    - Production Rendering and Ray Tracing
    - Real-Time Rendering and Ray Tracing
  • HPC
    - Astronomy/Astrophysics
    - Climate/Weather/Ocean Modeling
    - Computational Chemistry and Materials Science
    - Computational Fluid Dynamics
    - Computational Physics
    - Quantum Computing
    - Scientific Visualization
    - Supercomputing
  • Healthcare
    - Drug Discovery and Genomics
    - Medical Imaging
    - Smart Hospitals and Instruments
  • IoT/5G/Edge
  • Manufacturing
    - Electronics Design Automation
    - Inspection/Predictive Maintenance/Logistics
    - Product Development – Design, Engineering and Manufacturing
  • Recommenders/Personalization
  • Retail – Intelligent Stores/Logistics/Data Science
  • Signal and Sensor Processing
  • Video Streaming/Conferencing
  • XR (Virtual and Augmented Reality)



Industries

  • Agriculture
  • Architecture/Engineering/Construction
  • Automotive/Transportation
  • Cloud Services
  • Consumer Internet
  • Energy
  • Agriculture
  • Architecture/Engineering/Construction
  • Automotive/Transportation
  • Cloud Services
  • Consumer Internet
  • Energy
  • Financial Services
  • Game Development
  • Hardware/Semiconductor
  • Healthcare and Life Sciences
  • Higher Education/Research Institution
  • Manufacturing
  • Media & Entertainment
  • Public Sector
  • Retail
  • Supercomputing
  • Telecommunications
  • Financial Services
  • Game Development
  • Hardware/Semiconductor
  • Healthcare and Life Sciences
  • Higher Education/Research Institution
  • Manufacturing
  • Media & Entertainment
  • Public Sector
  • Retail
  • Supercomputing
  • Telecommunications

NVIDIA Developer Program

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

Accelerate your Startup

Explore the startup track at GTC to learn how NVIDIA Inception can fuel your growth through go-to-market support, world-class training, and technology assistance.

Get Hands-On Training

Interested in developing key skills in AI, accelerated data science, or accelerated computing? Get hands-on instructor-led training from the NVIDIA Deep Learning Institute (DLI) and earn a certificate demonstrating subject matter competency.