HomeAn AI model from over a decade ago sparked Nvidia’s investment in autonomous vehicles
Nvidia CEO Jensen Huang delivered a keynote at the GTC 2025 conference that was packed with exciting announcements. But amidst all the new tech talk, he also took a moment to delve into a bit of history.
During the automotive segment of his speech, Huang brought up AlexNet, a neural network architecture that became famous back in 2012 after winning a computer image-recognition competition. AlexNet, designed by computer scientist Alex Krizhevsky along with Ilya Sutskever, who later co-founded OpenAI, and AI researcher Geoffrey Hinton, scored an impressive 84.7% accuracy in the ImageNET academic competition.
This achievement sparked a renewed interest in deep learning, a specialized area of machine learning that utilizes neural networks.
The Impact of AlexNet on Nvidia
Huang shared that seeing AlexNet was a pivotal moment for Nvidia. "The moment I saw AlexNet — and we’ve been working on computer vision for a long time — the moment I saw AlexNet was such an inspiring moment, such an exciting moment," he remarked during his speech. This revelation prompted Nvidia to fully commit to the development of self-driving cars. "It caused us to decide to go all in on building self-driving cars. So we’ve been working on self-driving cars now for over a decade. We build technology that almost every single self-driving car company uses."
Nvidia's Automotive Partnerships
Nvidia has since forged numerous partnerships with automakers, automotive suppliers, and tech companies focused on autonomous vehicles. The latest of these is an expanded collaboration with GM, announced just today.
Companies like Tesla, Wayve, and Waymo rely on Nvidia GPUs for their data centers. Others are using Nvidia’s Omniverse product to create "digital twins" of factories, allowing them to test production processes and design vehicles in a virtual environment. Meanwhile, automakers such as Mercedes, Volvo, Toyota, and Zoox are utilizing Nvidia’s Drive Orin system-on-chip, which is built on the Nvidia Ampere supercomputing architecture. Additionally, Toyota and others are implementing Nvidia’s safety-focused operating system, DriveOS.
Nvidia's Influence in the Automotive Industry
In essence, Nvidia's technology has become deeply integrated into the automotive sector, particularly in the realm of automated driving.
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Comments (30)
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![JackWilson]()
Jensen dropping AlexNet history at GTC 2025? 😮 Nostalgia overload! It's wild how a decade-old model sparked Nvidia's current EV dominance. Makes you wonder if today's 'innovations' will be equally foundational in 10 years. 🚗💨 #AIhistory #Nvidia
![GraceWright]()
It's wild to think that a decade-old AI model like AlexNet is what got Nvidia into autonomous driving. Jensen always has a way of making history feel relevant, but honestly, I'm more curious about how they plan to scale that old architecture for modern roads. Will it handle edge cases better than current systems? 🤔
![HarryNelson]()
沒想到十年前的AI模型竟成了NVIDIA自駕車佈局的起點！黃仁勳在GTC 2025回顧AlexNet這段歷史，讓人感慨技術演進的軌跡總是充滿驚喜。現在看自動駕駛的發展，當年那些基礎研究真的像埋下的種子啊🌱
![GregoryJones]()
この記事を読んで、AlexNetがNVIDIAの自動運転投資のきっかけになったって知って驚いた！10年以上前のAIモデルが今の技術の基礎になってるなんて…🤯 でも、最近のAI開発スピードを考えると、10年後には今のモデルも「古典」って呼ばれてるのかな？ちょっと怖いかも。
![GeorgeWilson]()
2012년 AlexNet이 NVIDIA의 자율주행 투자를 촉발했다고? 🤔 옛날 AI 연구가 지금의 기술 발전에 그렇게 큰 영향을 미쳤다는 게 참 흥미롭네요. 기술 발전의 '작은 발걸음'이 중요한 이유를 보여주는 사례인 것 같아요. 근데 요즘 생성형 AI에만 집중되는 분위기에서 이런 역사적 고찰이 특히 의미 있게 느껴지네요.
![RalphWalker]()
It's wild to think AlexNet from over a decade ago kicked off Nvidia's autonomous vehicle push! 🚗💨 Jensen's keynote got me hyped about how far AI's come since then.
Nvidia CEO Jensen Huang delivered a keynote at the GTC 2025 conference that was packed with exciting announcements. But amidst all the new tech talk, he also took a moment to delve into a bit of history.
During the automotive segment of his speech, Huang brought up AlexNet, a neural network architecture that became famous back in 2012 after winning a computer image-recognition competition. AlexNet, designed by computer scientist Alex Krizhevsky along with Ilya Sutskever, who later co-founded OpenAI, and AI researcher Geoffrey Hinton, scored an impressive 84.7% accuracy in the ImageNET academic competition.
This achievement sparked a renewed interest in deep learning, a specialized area of machine learning that utilizes neural networks.
The Impact of AlexNet on Nvidia
Huang shared that seeing AlexNet was a pivotal moment for Nvidia. "The moment I saw AlexNet — and we’ve been working on computer vision for a long time — the moment I saw AlexNet was such an inspiring moment, such an exciting moment," he remarked during his speech. This revelation prompted Nvidia to fully commit to the development of self-driving cars. "It caused us to decide to go all in on building self-driving cars. So we’ve been working on self-driving cars now for over a decade. We build technology that almost every single self-driving car company uses."
Nvidia's Automotive Partnerships
Nvidia has since forged numerous partnerships with automakers, automotive suppliers, and tech companies focused on autonomous vehicles. The latest of these is an expanded collaboration with GM, announced just today.
Companies like Tesla, Wayve, and Waymo rely on Nvidia GPUs for their data centers. Others are using Nvidia’s Omniverse product to create "digital twins" of factories, allowing them to test production processes and design vehicles in a virtual environment. Meanwhile, automakers such as Mercedes, Volvo, Toyota, and Zoox are utilizing Nvidia’s Drive Orin system-on-chip, which is built on the Nvidia Ampere supercomputing architecture. Additionally, Toyota and others are implementing Nvidia’s safety-focused operating system, DriveOS.
Nvidia's Influence in the Automotive Industry
In essence, Nvidia's technology has become deeply integrated into the automotive sector, particularly in the realm of automated driving.
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Jensen dropping AlexNet history at GTC 2025? 😮 Nostalgia overload! It's wild how a decade-old model sparked Nvidia's current EV dominance. Makes you wonder if today's 'innovations' will be equally foundational in 10 years. 🚗💨 #AIhistory #Nvidia
It's wild to think that a decade-old AI model like AlexNet is what got Nvidia into autonomous driving. Jensen always has a way of making history feel relevant, but honestly, I'm more curious about how they plan to scale that old architecture for modern roads. Will it handle edge cases better than current systems? 🤔
沒想到十年前的AI模型竟成了NVIDIA自駕車佈局的起點！黃仁勳在GTC 2025回顧AlexNet這段歷史，讓人感慨技術演進的軌跡總是充滿驚喜。現在看自動駕駛的發展，當年那些基礎研究真的像埋下的種子啊🌱
この記事を読んで、AlexNetがNVIDIAの自動運転投資のきっかけになったって知って驚いた！10年以上前のAIモデルが今の技術の基礎になってるなんて…🤯 でも、最近のAI開発スピードを考えると、10年後には今のモデルも「古典」って呼ばれてるのかな？ちょっと怖いかも。
2012년 AlexNet이 NVIDIA의 자율주행 투자를 촉발했다고? 🤔 옛날 AI 연구가 지금의 기술 발전에 그렇게 큰 영향을 미쳤다는 게 참 흥미롭네요. 기술 발전의 '작은 발걸음'이 중요한 이유를 보여주는 사례인 것 같아요. 근데 요즘 생성형 AI에만 집중되는 분위기에서 이런 역사적 고찰이 특히 의미 있게 느껴지네요.
It's wild to think AlexNet from over a decade ago kicked off Nvidia's autonomous vehicle push! 🚗💨 Jensen's keynote got me hyped about how far AI's come since then.
