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Tesla’s in-house Full Self-Driving chip puts TSLA 4 years ahead of competition: analyst
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).
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.
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.
Tesla released the Full Self-Driving v14 ‘Lite’ suite to owners of Hardware 3 or AI3 vehicles today, adding several new features to the vehicles that were once believed to be capable of unsupervised self-driving.
Now, Tesla has released this modified suite to older Tesla vehicles, adding plenty of new features and capabilities.
Here are the full release notes for the suite:
- Distilled the intelligence from HW4 V14 into HW3. This allows HW3 to directly learn how to handle scenarios using HW4 V14 as a guide. This process unlocks the improvements that have been made to HW4 including Reinforcement Learning (RL) and offline models for HW3.
- Improved both proactive and reactive responsiveness across a wide variety of categories including navigation handling, merges and forks, pedestrian interactions, traffic lights, and vehicle cut-in scenarios.
- Improved general comfort in nominal scenarios through fewer false slowdowns, smoother steering and more consistent lane centering.
- Introduced parking, unparking, and reversing capabilities.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, or at the Curbside.
- Speed Profiles are now available at all times, to further customize driving style preference.
These improvements, according to Tesla’s Head of AI, Ashok Elluswamy, help distill the driving behavior from AI4’s v14 series into both the camera and compute configurations of AI3.
Tesla Full Self-Driving v14 ‘Lite’ for older cars finally gets released
He added:
“It includes destination options and speed profiles on city roads, but more importantly significantly improved safety. We hope you’ll enjoy it, once the build ships wide.”
FSD v14 Lite is now rolling out to AI3 early-access customers. Based on the feedback, will rollout to more customers over the next few weeks.
This build distills the driving behavior from AI4’s v14 series into both the camera and compute config of AI3. It includes destination…
— Ashok Elluswamy (@aelluswamy) June 29, 2026
Tesla will continue to roll out the v14 Lite suite more widely in the coming weeks, the company said.
Tesla has finally released its Full Self-Driving v14 ‘Lite’ suite for older cars that equip the Hardware 3 or AI 3 chip, which have not been able to handle the newest versions of the company’s driver assistance software.
Tesla officially started releasing the v14 Lite suite to owners in the Early Access Program last night. The company’s Head of AI, Ashok Elluswamy, said that the rollout will continue over the next few weeks. The build distills the driving behavior from AI4’s v14 series into both the camera and compute configurations of an AI3 car.
🚨 Tesla is releasing v14 Lite for AI3 owners who are in early-access
This will give AI3 cars the ability to experience new FSD features like parking preferences. https://t.co/pp6Q5FOKoz pic.twitter.com/tqexMB8SVy
— TESLARATI (@Teslarati) June 29, 2026
It also includes a variety of new features that were available to AI4 cars running v14, including:
- Start Self-Driving from Park
- Arrival and Parking Options
- Speed Profiles
The release is highly anticipated because those owners with AI3 vehicles were early adopters into the FSD platform and were promised that their cars would be capable of achieving Full Self-Driving.
However, Tesla CEO Elon Musk admitted during the company’s recent Q1 Earnings Call that these vehicles would not be capable of achieving unsupervised Full Self-Driving, which is what Tesla had originally said.
Owners were not pleased with this answer, or the idea that their commitment to buying the suite outright for thousands of dollars would not yield the ability to drive without operating the car. Tesla gave some solutions for this, including a discount on a new car, or an upgrade to an AI4 or AI5 self-driving computer and new, upgraded cameras.
Tesla owners do not seem pleased with these options, as they require giving the company more money.
Nevertheless, it is important to note that Tesla came through for owners here by releasing v14 Lite before the end of Q2, something it had promised owners during the previous Earnings Call. Tesla has had trouble keeping up with timelines, but this is a big achievement for the team.
Tesla released what analysts believe the company will report in terms of deliveries and energy deployments for Q2, but the figures seem to confirm a long-standing theory on the company’s vehicle division.
For years, Tesla was just looked at as a car company. Now that it has established itself as a powerhouse in energy, AI, and tech as a whole, the company is now less hellbent on achieving quarterly growth, on a sequential basis, at least from a major standpoint.
Tesla topped out its annual deliveries in 2023 at 1.81 million, and in the two years since, the company has reported a decrease in deliveries for the entire 12-month term both times.
With Tesla delivering 358,023 cars in Q1, a 6.3 percent increase over Q1 2025, but falling short of Wall Street expectations at 365,000-370,000 units, the narrative around vehicle deliveries and their importance continued to change earlier this year. Some might say it is convenient, but others might say it is the typical evolution of a company that continues to change over time.
For Q2, Tesla’s delivery consensus estimates sit at 406,024 units, analysts believe. They were surveyed from Daiwa, DB, Wedbush, Cowen, Canaccord, Baird, Wolfe, BMP Paribas, Goldman Sachs, RBC, Evercore ISI, Barclays, Bank of America, Wells Fargo, Morgan Stanley, Truist, UBS, Jefferies, JPM, Needham & Co., HSBC, and William Blair.
Credit: Tesla
Tesla is also expected to report deployments of 13.8 GWh this quarter.
The change to Tesla’s overall narrative now leans less on vehicle deliveries and more on its other projects. Most notably, Tesla’s Robotaxi project has taken the priority over most of its other business ventures, and investors and the public are more concerned about the deployment of vehicles into the fleet, the operation of a driverless ride-hailing service, Cybercab production and operation, and expansion into new cities.
Tesla analyst realizes one big thing about the stock: deliveries are losing importance
This big narrative switch happened when Tesla indicated it was looking at making transportation a service by launching a ride-hailing service that will operate using Tesla’s Full Self-Driving suite. Once unsupervised operation begins, Robotaxi could be a new way for people to get around, all without a driver in their car.
Instead, they will rely on the billions of miles Tesla has accumulated from its real-world fleet.
It is important to note that Tesla remains significant in the automotive sector, and deliveries must continue as they have for years. Tesla still has a strong automotive business and needs to execute further on all facets to keep its investors happy.
Tesla Full Self-Driving v14 ‘Lite’ Release Notes: new capabilities and features
Tesla Full Self-Driving v14 ‘Lite’ for older cars finally gets released
