Mardinot of the CEO of Nvidia, Jensen Huang, Tuesday with society GTC 2025 conference Stuck with tradition and was full of announcements. But the company has also slipped into a short history lesson.
During the automotive part of his speech, Huang referred to Alexnet, a neural network architecture that drew generalized attention in 2012 when he won a computer image recognition competition. Designed by computer scientist Alex Krizhevsky in collaboration with Ilya Sutskever (who would have found Openai) and the IA researcher Geoffrey Hinton, Alexnet reached 84.7% precision in an academic competition called Imagenet.
The result of the breakthrough has led to a resurgence of interest in in-depth learning, an automatic learning subset that operates neural networks.
It turns out that Alexnet has encouraged Nvidia to go “All in” on autonomous vehicles, as Huang says.
“As I saw Alexnet – and we’ve been working on computer vision for a long time – when I saw Alexnet was so inspiring, such a exciting moment,” he said on stage. “It made us decide to build autonomous cars.
NVIDIA has heard partnerships with many car manufacturers, automotive suppliers and technological companies developing autonomous vehicles. His last, a Expanded collaboration with GMwas announced this afternoon.
Car manufacturers like Tesla and Wayve and Waymo autonomous vehicle developers use Nvidia GPUs for data centers. Other companies operate the Nvidia OMNIVISSE PRODUCT To build “digital twins” of factories to practically test production processes and design vehicles. In the meantime, MercedesVolvo, ToyotaAnd Zoox used the Drive Orin computer system of Nvidia, which is based on the architecture of Nvidia Ampère SuperComputing of the flea manufacturer. Toyota and others also use the NVIDIA, Driveos security operating system.
Result DNA: NVIDIA is integrated into the automotive industry – and more specifically, automated industry.