Nvidia's CEO, Jensen Huang, took the stage at the GTC 2025 conference to share some big news and a bit of history. He talked about a moment that changed everything for Nvidia.

    It all started with AlexNet. This isn't a person, but a special type of AI model. It was created by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton. These three computer scientists made a big splash in 2012.

    AlexNet won a big contest called ImageNet. It correctly identified images 84. 7% of the time. This was a huge deal. It showed that AI could really understand pictures. This win sparked a renewed interest in deep learning, a type of AI that uses neural networks.

    Huang saw the potential of AlexNet right away. He was inspired and excited. This moment led Nvidia to focus on self-driving cars. They've been working on this technology for over ten years now.

    Nvidia's technology is used by many companies. Tesla, Wayve, and Waymo use Nvidia's GPUs for their data centers. Other companies use Nvidia's Omniverse to create digital copies of factories. This helps them test production processes and design vehicles.

    Many car companies use Nvidia's Drive Orin computer system. This system is based on Nvidia's powerful Ampere architecture. It's used in cars made by Mercedes, Volvo, Toyota, and Zoox. These companies also use Nvidia's DriveOS, which focuses on safety.

    So, Nvidia's technology is everywhere in the world of self-driving cars. It's amazing how one AI model can change the course of a company. But it's also important to think about the impact of AI on our daily lives. How will self-driving cars change the way we travel? What challenges might we face? These are questions to consider as technology continues to advance.

The Spark That Ignited Nvidia's Drive Toward Self-Driving Cars

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