Nvidia’s Founder and CEO Jensen Huang recently spoke at the Gartner Symposium, where he shared his leadership approach and encouraged the audience to embrace AI applications and upgrade their infrastructure with accelerated computing.

Huang, who has been in his role for over 33 years, emphasized the importance of a long-term perspective in leadership. He cited an example from 14 years ago when Nvidia first recognized the need to accelerate deep learning with their GPUs. This led to the creation of Cu-DNN, a domain-specific library that has had a significant impact on the development of neural networking.

Nvidia also saw the potential of deep learning beyond computer vision applications, realizing that it could be a scalable technique that could revolutionize the entire software development process. This realization led to the company’s decision to take action and reimagine the future of computing.

Huang acknowledged that this journey was not without its challenges, but emphasized the importance of taking risks and leaning forward in order to learn and grow. He also highlighted the role of Nvidia’s talented computer scientists and their determination to make their vision a reality.

Huang then discussed how Nvidia has evolved from coding software to machine learning software to AI. He explained that the company’s initial focus on developing tools for software development eventually led to the creation of AI systems that can learn by observing and reasoning. This has resulted in the emergence of a multi-trillion-dollar industry known as AI.

In conclusion, Huang emphasized the importance of building systems that can effectively transform data into valuable assets, and encouraged the audience to embrace the potential of AI in their own organizations.