{"id":10632,"date":"2025-03-18T21:22:15","date_gmt":"2025-03-18T21:22:15","guid":{"rendered":"https:\/\/fusionmindlabs.com\/blogs\/old-ai-model-sparks-nvidias-autonomous-vehicle-investment\/"},"modified":"2025-03-18T21:22:15","modified_gmt":"2025-03-18T21:22:15","slug":"old-ai-model-sparks-nvidias-autonomous-vehicle-investment","status":"publish","type":"post","link":"https:\/\/fusionmindlabs.com\/blogs\/old-ai-model-sparks-nvidias-autonomous-vehicle-investment\/","title":{"rendered":"Old AI model sparks Nvidia’s autonomous vehicle investment"},"content":{"rendered":"\n<\/p>\n
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Nvidia CEO Jensen Huang’s keynote address on Tuesday at the company’s GTC 2025 conference<\/a> was packed with announcements, following the traditional format. However, the company also managed to sneak in a brief history lesson.<\/p>\n

During the segment of his speech focused on automotive technology, Huang referenced AlexNet, a groundbreaking neural network architecture that garnered significant attention in 2012 when it emerged victorious in a computer image recognition contest. Created by computer scientist Alex Krizhevsky in collaboration with Ilya Sutskever, who would later found OpenAI, and AI researcher Geoffrey Hinton, AlexNet achieved an impressive 84.7% accuracy in the ImageNET academic competition.<\/p>\n

This breakthrough result sparked a renewed interest in deep learning, a subset of machine learning that utilizes neural networks<\/a>.<\/p>\n

As Huang recounted, AlexNet’s success inspired Nvidia to fully commit to the development of autonomous vehicles.<\/p>\n

\u201cThe moment I saw AlexNet \u2014 and we had been exploring computer vision for a long time \u2014 was truly an inspiring and exciting moment,\u201d Huang stated on stage. \u201cIt prompted us to decide to go all in on building self-driving cars. We have been working on self-driving cars for over a decade now, and our technology is used by almost every single self-driving car company.\u201d<\/p>\n

Nvidia has established partnerships with numerous automakers, automotive suppliers, and tech companies involved in the development of autonomous vehicles. The company’s latest collaboration, an expanded partnership with GM<\/a>, was announced earlier today.<\/p>\n

Automakers such as Tesla and autonomous vehicle developers like Wayve and Waymo utilize Nvidia GPUs in their data centers. Other companies leverage Nvidia’s Omniverse product<\/a> to create “digital twins” of factories, allowing them to virtually test production processes and design vehicles. Meanwhile, companies like Mercedes<\/a>, Volvo, Toyota<\/a>, and Zoox have employed Nvidia’s Drive Orin computer system-on-chip, which is based on the company’s Nvidia Ampere supercomputing architecture. Additionally, Toyota and other companies are utilizing Nvidia’s safety-focused operating system, DriveOS.<\/p>\n

The overall impact is that Nvidia’s technology has become deeply embedded in the automotive industry, particularly in the realm of automated driving.<\/p>\n<\/div>\n\n
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