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Tesla’s in-house Full Self-Driving chip puts TSLA 4 years ahead of competition: analyst

Elon Musk at Tesla's Autonomy Day FSD presentation. | Image: Tesla

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Tesla’s decision to develop its Full Self-Driving (FSD) computer chip in-house has put it four years ahead of the competition, according to ARK Invest analyst James Wang.

Wang laid out the case for the all-electric car maker’s custom automotive-grade computer against the next-best options in the market, all Nvidia products, in an article on ARK Invest’s website. His stated goal in the piece was to clarify Tesla’s position and achievement with full self-driving in simple terms as well as explain why an off-the-shelf chip would not have accomplished the same feat.

Admittedly, Tesla’s Autonomy Day livestream debuting the arrival of its Full Self-Driving computer was chock full of very technical details that many outside the computer science world indicated were difficult to follow. Thus, Wang’s FSD simplification is helpful for gaining insight into Tesla’s autonomous driving progress in terms of the bigger industry picture.

In summary, by focusing only on what its particular needs were for its particular software demands, Tesla was was able to improve its chip’s performance efficiency to a level that has allowed it to “leapfrog” over competitors. Wang predicts that by 2021, Tesla will be ready to release its next generation FSD computer while its closest competitor in terms of optimal peak utilization is just coming to market.

Nvidia is a prominent and highly successful leader in computer chip design, and Tesla already uses its products for Hardware 2.5, the computer currently running the electric car maker’s Autopilot features. That said, the industry giant has three self-driving-focused chips in its lineup: Xavier (in production), Pegasus (readying for production) and Orin (still pending an official announcement).

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Pegasus is a Level 5 self-driving computer, as is Tesla’s FSD; however, it has twice as many chips as FSD, consumes seven times more power than FSD, and is too big and expensive for the Model 3. Since Nvidia designs chips for a wide range of hardware manufacturers, much like the Windows and Android operating systems are designed to be flexible enough for different computer and smartphone hardware suites, their functionality cannot be overly streamlined for one system over another. In contrast, Tesla (like Apple hardware/software) can focus all of its autonomy efforts on its specific hardware and software needs, thus achieving a greater output than Nvidia’s product.

Tesla’s Full Self-Driving computer. | Image: Tesla

In a follow up to Tesla’s Autonomy Day presentation wherein FSD was compared to Nvidia’s Xavier computer, a chip designed for semi-autonomous driving only, the chip manufacturer published a company blog piece drawing attention to Pegasus’ capabilities as a better measure for analysis. As pointed out in Wang’s analysis, the FSD and Pegasus still do not achieve the same metrics, leaving Tesla well positioned amongst its self-driving computer peers. Despite the issue, though, Nvidia’s conclusion was a positive response to the car maker’s achievement: Tesla has raised the bar on self-driving and other car manufacturers need to get on board before falling too far behind.

During the Autonomy Day presentation, Tesla CEO Elon Musk crowned FSD as “objectively best in the world”, and James Wang’s analysis is yet another outline of why that is arguably the case. Tesla’s Full Self-Driving Computer (formerly known as Hardware 3) is currently being installed in all new production vehicles, and owners who purchased Full Self-Driving for a car produced in 2016 or later will receive a free upgrade to the FSD computer in the near future. Musk has further predicted that Tesla’s full self-driving software will be complete by the end of this year and fully operational by the second quarter of next year.

Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

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Tesla extends FSD Supervised ride-alongs in Europe by three months

Needless to say, it does appear that FSD fever is starting to catch in Europe. 

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Credit: Grok Imagine

Tesla appears to be doubling down on its European Full Self-Driving (Supervised) push, with the company extending its demo ride-along program by three months until the end of March 2026. The update seems to have been implemented due to overwhelming demand. 

Needless to say, it does appear that FSD fever is starting to catch in Europe. 

Extended FSD demonstrations

Tesla EU Policy and Business Development Manager Ivan Komušanac shared on LinkedIn that the company is offering ride-along experiences in Germany, France and Italy while working toward FSD (Supervised) approval in Europe.

He noted that this provides a great feedback opportunity from the general public, encouraging participants to record and share their experiences. For those unable to book in December, Komušanac teased more slots as “Christmas presents.”

Tesla watcher Sawyer Merritt highlighted the extension on X, stating that dates now run from December 1, 2025, to March 31, 2026, in multiple cities including Stuttgart-Weinstadt, Frankfurt and Düsseldorf in Germany. This suggests that the FSD ride-along program in Europe has officially been extended until the end of the first quarter of 2026. 

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Building momentum for European approval

Replies to Merritt’s posts buzzed with excitement, with users like @AuzyMale noting that Cologne and Düsseldorf are already fully booked. This sentiment was echoed by numerous other Tesla enthusiasts on social media. Calls for the program’s expansion to other European territories have also started gaining steam, with some X users suggesting Switzerland and Finland as the next locations for FSD ride-alongs.

Ultimately, the Tesla EU Policy and Business Development Manager’s post aligns with the company’s broader FSD efforts in Europe. As per recent reports, Tesla recently demonstrated FSD’s capabilities for Rome officials. Reporters from media outlets in France and Germany have also published positive reviews of FSD’s capabilities on real-world roads. 

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Tesla’s six-seat extended wheelbase Model Y L sold out for January 2026

Estimated delivery dates for new Tesla Model Y L orders now extend all the way into February 2026.

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Credit: Tesla China

The Tesla Model Y L seems to be in high demand in China, with estimated delivery dates for new orders now extending all the way into February 2026. 

This suggests that the Model Y L has been officially sold out from the rest of 2025 to January 2026. 

Model Y L estimated delivery dates

The Model Y L’s updated delivery dates mark an extension from the vehicle’s previous 4-8 week estimated wait time. A detailed chart shared by Tesla data tracker @Tslachan on X shows the progressions of the Model Y L’s estimated delivery dates since its launch earlier this year. 

Following its launch in September, the vehicle was given an initial October 2025 estimated delivery date. The wait times for the vehicle were continually updated over the years, until the middle of November, when the Model Y L had an estimated delivery date of 4-8 weeks. This remained until now, when Tesla China simply listed February 2026 as the estimated delivery date for new Model Y L orders.

Model Y demand in China

Tesla Model Y demand in China seems to be very healthy, even beyond the Model Y L. New delivery dates show the company has already sold out its allocation of the all-electric crossover for 2025. The Model Y has been the most popular vehicle in the world in both of the last two years, outpacing incredibly popular vehicles like the Toyota RAV4. In China, the EV market is substantially more saturated, with more competitors than in any other market.

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Tesla has been particularly kind to the Chinese market, as it has launched trim levels for the Model Y in the country that are not available anywhere else, such as the Model Y L. Demand has been strong for the Model Y in China, with the vehicle ranking among the country’s top 5 New Energy Vehicles. Interestingly enough, vehicles that beat the Model Y in volume like the BYD Seagull are notably more affordable. Compared to vehicles that are comparably priced, the Model Y remains a strong seller in China. 

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NVIDIA CEO Jensen Huang commends Tesla’s Elon Musk for early belief

“And when I announced DGX-1, nobody in the world wanted it. I had no purchase orders, not one. Nobody wanted to buy it. Nobody wanted to be part of it, except for Elon.”

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Credit: NVIDIA

NVIDIA CEO Jensen Huang appeared on the Joe Rogan Experience podcast on Wednesday and commended Tesla CEO Elon Musk for his early belief in what is now the most valuable company in the world.

Huang and Musk are widely regarded as two of the greatest tech entrepreneurs of the modern era, with the two working in conjunction as NVIDIA’s chips are present in Tesla vehicles, particularly utilized for self-driving technology and data collection.

Nvidia CEO Jensen Huang regrets not investing more in Elon Musk’s xAI

Both CEOs defied all odds and created companies from virtually nothing. Musk joined Tesla in the early 2000s before the company had even established any plans to build a vehicle. Jensen created NVIDIA in the booth of a Denny’s restaurant, which has been memorialized with a plaque.

On the JRE episode, Rogan asked about Jensen’s relationship with Elon, to which the NVIDIA CEO said that Musk was there when nobody else was:

“I was lucky because I had known Elon Musk, and I helped him build the first computer for Model 3, the Model S, and when he wanted to start working on an autonomous vehicle. I helped him build the computer that went into the Model S AV system, his full self-driving system. We were basically the FSD computer version 1, and so we were already working together.

And when I announced DGX-1, nobody in the world wanted it. I had no purchase orders, not one. Nobody wanted to buy it. Nobody wanted to be part of it, except for Elon.

He goes ‘You know what, I have a company that could really use this.’ I said, Wow, my first customer. And he goes, it’s an AI company, and it’s a nonprofit and and we could really use one of these supercomputers. I boxed one up, I drove it up to San Francisco, and I delivered it to the Elon in 2016.”

The first DGX-1 AI supercomputer was delivered personally to Musk when he was with OpenAI, which provided crucial early compute power for AI research, accelerating breakthroughs in machine learning that underpin modern tools like ChatGPT.

Tesla’s Nvidia purchases could reach $4 billion this year: Musk

The long-term alliance between NVIDIA and Tesla has driven over $2 trillion in the company’s market value since 2016.

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