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Jensen Huang just delivered some incredible news for investors in Nvidia stock


Nvidia (NASDAQ: NVDA) 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, where they are used to develop advanced artificial intelligence (AI) models.

Nvidia CEO Jensen Huang believes data center operators will spend $1 trillion over the next four years upgrading their infrastructure to meet the demand from AI developers. With the data center segment currently accounting for 88% of Nvidia’s total revenue, this spending will be critical to the company’s future success.

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

Image source: Nvidia.

Nvidia has seen the autonomous driving revolution arrival. In fact, the company’s automotive business is more than two decades old, but its revenues have been so small that it has lived in the shadow of its gaming and data center segments. All that is about to change because global car brands love Mercedes-Benz, Hyundai, BYD, Volvo, Toyotaand more are adopting Nvidia’s Drive platform to fuel their autonomous ambitions.

Drive provides all the internal hardware and software a car needs for self-driving capabilities. This includes Nvidia’s latest chip called Thor, which processes all incoming data from the car’s sensors to determine the best course of action on the road. But Nvidia’s opportunity doesn’t stop there, as it also sells the infrastructure the car company needs to maintain and improve its autonomous models, so it can differentiate itself from the competition.

Along with Drive, Huang says automotive companies are buying DGX systems for data centers that feature the latest Blackwell-based GB200 GPUswhich supply the necessary computing power to continuously train self-driving software. There’s also Nvidia’s new Cosmos multimodal core model, which allows companies to run millions of real-world simulations using synthetic data, serving as training material for the software.

Overall, Huang says autonomous vehicles could be the first multi-trillion dollar opportunity in the nascent robotics space. He’s not alone, as Cathie Wood’s Ark Investment Management believes technologies like autonomous ride-hailing could create $14 trillion in enterprise value by 2027, with most of that value attributed to autonomous platform providers — in this case, it would was Nvidia.



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