NVIDIA CEO Jensen Huang’s keynote speech Tuesday at the company GTC 2025 Conference Adhere to tradition, full of announcements. But the company has also been stuck in some history lessons.
During the Automotive section of the speech, Huang mentioned Alexnet, a neural network architecture that won widespread attention when it won the computer image recognition competition in 2012. Designed by computer scientist Alex Krizhevsky in collaboration with Ilya Sutskever (continue to find Openai) and AI researcher Geoffrey Hinton, Alexnet gained 84.7% accuracy in an academic competition called Imagenet.
Breakthrough results lead to a revival of interest in deep learning, part of machine learning Neural Network.
Alexnet proved to have stimulated Nvidia to “go out all out” on self-driving cars, Huang told it.
“The moment I saw Alexnet – we’ve been in computer vision for a long time,” he said on the stage. “It made us decide to go all out to build self-driving cars.
NVIDIA has partnered with numerous automakers, auto suppliers, and technology companies that develop self-driving cars. Its latest Expand cooperation with GMannounced this afternoon.
Automakers such as Tesla and self-driving car developers use NVIDIA GPUs for data centers. Other companies clicked on Nvidia’s Omniverse Products Build a factory’s “digital twin” to actually test the production process and design tools. at the same time, MercedesVolvo, ToyotaZoox uses NVIDIA’s driver Orin computer system chip, which is based on the chip manufacturer’s Nvidia Ampere Ampere supercomputing architecture. Toyota and others have also adopted Driveos, an NVIDIA security-centric operating system.
Results: NVIDIA DNA is embedded in the automotive industry, more specifically the autonomous driving industry.
