Nvidia's Robotaxi Revolution: The AWS Moment of Self-Driving Cars
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Nvidia Corp. (NVDA:NASDAQ) is soaring...

The company reached an all-time peak on Friday, surpassing a $5 trillion valuation once more.

Congratulations to those who heeded my advice and invested in Nvidia back in 2018. The stock has skyrocketed 3,000% since I first recommended it.

And the ascent isn't over yet.

Nvidia is experiencing its "AWS moment"...

In other words, a monumental opportunity is developing behind the scenes. One that investors simply cannot afford to overlook.

Allow me to elaborate...

At the dawn of the 21st century, Amazon.com Inc. (AMZN:NASDAQ) was rapidly ascending to become the top e-commerce player in the United States.

However, operating a burgeoning online retail enterprise created a colossal technical challenge.

As Amazon's customer base swelled, the company had to continually bolster the invisible infrastructure underpinning its website. This necessitated greater computing capacity, larger servers, and more robust backend systems to maintain a speedy and dependable website—even during traffic surges.

Soon, Amazon realized that countless other businesses faced an identical predicament. Fledgling companies, retailers, and software firms all required computing infrastructure. Yet few had the desire to construct it from the ground up.

So Amazon began leasing out its surplus capacity. That system evolved into Amazon Web Services, or AWS.

Initially, it seemed like a minor side venture... nothing compared to Amazon's retail dominion. Presently, AWS generates the lion's share of Amazon's profits, despite accounting for a mere sixth of total revenue. The "side project" blossomed into the most lucrative business Amazon has ever cultivated.

Nvidia is undergoing its AWS moment right now.

The majority of investors solely perceive Nvidia through the lens of the artificial intelligence (AI) data center boom. But akin to Amazon, another opportunity is materializing in the background...

I'm referring to robotaxis.

Robotaxis are one of those innovations that transpired gradually, then abruptly.

For years, they were restricted to meticulously mapped test zones with lengthy waitlists, constrained operating hours, and a paltry number of vehicles on the streets. Self-driving demonstrations have existed since the 1980s. Carnegie Mellon conducted one in 1986.

Today, they're ubiquitous. Waymo boasts a fleet of 3,000 robotaxis. They provide half a million rides each week across 11 cities. And the company intends to expand to 20 more cities this year.

But that's merely one illustration...

Tesla Inc. (TSLA:NASDAQ) is proliferating rapidly, too. It only entered the market last year. Now, it's already in three cities, with aspirations to launch in five more by the close of 2026.

Tesla also aims to commence selling its "Cybercab" robotaxi, devoid of a steering wheel or pedals, this year.

At $30,000 per vehicle, it's quite affordable. As a non-driver myself, I'd certainly acquire one.

Here's why this all redounds to Nvidia's benefit.

A robotaxi is more than just an automobile equipped with some sophisticated sensors and software. It's a comprehensive AI system. And Nvidia is situated at every stratum of it.

Before a vehicle ever collects a passenger, the self-driving system must learn how to navigate the pandemonium of the real world, from inclement weather, reckless drivers, peculiar road signs, emergency vehicles, abrupt lane changes, and unpredictable pedestrians. All the chaotic elements render city driving arduous.

Nvidia's GPUs furnish the computing brawn to train these self-driving models.

But even a gargantuan fleet can't encounter every conceivable peril in real-world driving. So developers construct those scenarios in a virtual realm instead.

Nvidia's DRIVE Sim platform serves as the digital proving ground. It allows engineers to replay crashes, run edge cases, and simulate tricky road situations repeatedly to observe how the software reacts.

And once the software is primed, every vehicle still requires a potent in-car computer.

Nvidia's DRIVE AGX system functions as the car's central nervous system. It merges inputs from cameras, radar, LiDAR, and ultrasonic sensors to formulate a live picture of the road. Then it determines when to brake, steer, change lanes, or evade danger, in milliseconds.

Train the model. Simulate the model. Run the model in the car.

From the initial training run to live traffic, Nvidia powers every step. And the more robotaxis hit the road, the more money Nvidia earns from every layer of the stack.

Uber Technologies Inc. (UBER:NYSE) recently unveiled a plan to deploy 100,000 robotaxis.

Uber won't manufacture the cars, naturally. It'll partner with other automakers. The crucial point is that they'll be powered by Nvidia's stack.

Lyft (LYFT:NASDAQ), Grab Holdings Ltd. (GRAB:NASDAQ), and Bolt are all employing Nvidia's DRIVE Sim for their self-driving initiatives, too… as are Mercedes-Benz, Nissan, BYD, and Hyundai. And the list goes on.

Just as Amazon competitors in the 2000s couldn't construct their own AWS, so they wound up paying Amazon for it, every other automaker on Earth needs a self-driving stack and almost none of them can assemble it from scratch.

Designing the chips, training the models, and operating the simulation infrastructure costs tens of billions of dollars. Tesla can spend that. Mercedes can't. Hyundai can't. Uber can't.

So they all rent it from the company that already built it.

And analogous to back then, these deals aren't grabbing headlines yet... and they're not generating lots of money compared to Nvidia's other businesses. But they're evidence of just how immense the robotaxi megatrend could become for Nvidia.

AWS eventually became the backbone of cloud computing. Today, Nvidia is morphing into the backbone of robotaxis.

Nvidia’s robotaxi push is a perfect example of how the biggest investing opportunities often start quietly. I cover these early-stage shifts and what they mean for investors in my free letter, The Jolt. If you’d like to stay ahead of these kinds of disruptions, you can join us here.