Jensen Huang has now provided incredible news for Nvidia stock investors

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Nivea (NASDAQ: NVDA ) In the year It was founded in 1993 and went on to create the world’s first graphics processing units (GPUs) for computing, media and gaming applications. Now, decades later, the company has adapted those powerful chips for data centers that are used to develop advanced artificial intelligence (AI) models.

Navia CEO Jensen Huang believes data center operators will spend $1 trillion over the next four years to upgrade their infrastructure to meet the demands of AI developers. Since the data center segment currently accounts for 88% of Nvidia’s total revenue, that spending will be instrumental in the company’s future success.

However, the semiconductor industry is always cyclical, so the data center boom won’t last forever. That’s why it’s critical for Nvidia to diversify its revenue streams, and on January 7 at the CES 2025 technology conference, Huang delivered some surprising news to investors on that front.

Image source: Nvidia

Navy saw The self-driving revolution. to come. Indeed, the company’s automotive business has been around for more than two decades, but revenues have been so small that they have been overshadowed by the gaming and data center segments. That’s all about to change, because international car brands love it Mercedes-Benz, Hyundai, Baidi, Volvo, Toyotaand others are using Nvidia’s Drive platform to power their own ambitions.

Drive provides all the internal hardware and software a car needs for self-driving capabilities. That includes Nvidia’s latest chip called Tor, which processes all the data from the car’s sensors to determine the best course of action. But Nvidia’s opportunity doesn’t end there, as the car company can also differentiate itself from the competition by selling the infrastructure needed to repair and upgrade its autonomous models.

In addition to Drive, Huang’s auto companies are buying DGX data center systems based on Blackwell’s GB200. GPUswhich provides the necessary computing power to continuously train self-driving software. Then there’s NVIDIA’s new Cosmos multimodal foundation model, which lets companies run millions of real-world simulations that serve as training material for the software.

Overall, Huang said autonomous vehicles could be the first multitrillion dollar opportunity in the new robotics space. He’s not alone, as Cathy Wood’s Arch Investment Management is looking at technologies like autonomous driving in 2016. Much of that value will be attributed to autonomous platform vendors, which he thinks could create $14 trillion in enterprise value by 2027 — in this case, that would be NVIDIA.

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