Jensen Huang, Nvidia’s Founder and CEO.

Why Deep Learning Practitioners Should Attend Nvidia’s GTC Event

Is there something for You at one of the largest tech conferences?

Richmond Alake
6 min readSep 14, 2022


Nvidia’s hardware and software technologies are widely used in artificial intelligence. In fact, the convolutional neural network architecture that ushered in the era of deep learning, AlexNet, was trained using two NVIDIA GTX 580 3GB GPUs. CUDA, an API(application programming interface) developed by Nvidia for GPU computation and programming implementation, was used to implement AlexNet’s convolutional operations.

Fast forward to the modern day, and Nvidia still has an ever-dominating presence and is yet a leading company in the field of deep learning. Nvidia’s technological reach spans beyond hardware and touches all aspects of the field, including research, software, education, hardware management, cloud platforms etc.

This article provides information on the Nvidia GTC 2022 event set to take place between September 19–22, 2022. My aim in this article is to provide you with compelling reasons why you, as a deep learning practitioner or enthusiast should attend the event. In addition, the following information is provided:

  • Recommended conferences and talks deep learning practitioners can attend
  • Main benefits of attending the Nvidia GTC conference for deep learning practitioners.
  • Key topics, demos, and subject areas that are covered by events held throughout the conference
  • and more…

What is the Nvidia GTC Event?

The Nvidia GPU Technology Conference(GTC) is a chance for you to learn more about the latest advances in hardware research, as well as gain insights from global technology executives on the commercial application of machine learning technology. The event also includes experts communicating information on the best instructional materials to learn data science, computer graphics, machine learning, deep learning, and more. On September 20th, Jensen Huang, Nvidia’s CEO and Founder will present some of the advancements in hardware research and software development that Nvidia is pioneering.



Richmond Alake

Machine Learning Content Creator with 1M+ views— Computer Vision Engineer. Interested in gaining and sharing knowledge on Technology and Finance