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Tesla’s Gigafactory formula rose from a humble “tent” at the Fremont Factory
Back in 2018, Tesla was in a very different place. The company was struggling to release the Model 3, and it was behind on Elon Musk’s aggressive self-imposed vehicle production targets. The Fremont Factory’s assembly lines were not producing enough Model 3s, and it seemed like the company was poised to fail. Critics and shorts circled Tesla like sharks smelling blood in the water. But something unexpected happened, and things were never the same after.
Throwing convention out the window, Tesla built another Model 3 line inside a massive sprung structure at the Fremont Factory grounds, which CEO Elon Musk fondly called a “tent” online. The structure, dubbed as GA4, was mocked to the highest degree, used as a joke by critics, and dismissed outright by skeptics. However, what was almost unknown at the time was that Tesla might have actually stumbled into something special with its sprung structure-based line. By building a simple, straight, Model 3 line inside a “tent,” Tesla seems to have effectively created a solid Gigafactory formula.
No standard automotive solution could be built in time, so we created a new solution. It is working & has slightly higher quality than the more traditional general assembly line. Perhaps most surprising is that the total cost of production in the Sprung tent is lower.
— Elon Musk (@elonmusk) June 27, 2018
A Practical Concept
The sprung structure-based Model 3 line was the brainchild of Automotive President Jerome Guillen, widely known as Elon Musk’s “problem solver” back in the Model S’ early days. The “tent”-based line followed a relatively simple system, with vehicles being assembled progressively the further they moved into the tent. Even GA4’s loading bays were placed on the sides of the structure, allowing Tesla to take deliveries into the line efficiently. Musk was enthusiastic about the sprung structure on Twitter, noting not long after the “tent” was built that the vehicles produced in the site had “slightly higher quality” than cars made elsewhere.
These humble but creative beginnings appear to have become the heart of Tesla’s Gigafactory formula, one used in Giga Shanghai and Giga Berlin, and seemingly improved further with Gigafactory Texas. This could be seen in the design and processes that Tesla has adopted so far in its Shanghai and Berlin plants, both of which invoke the image of a scaled-up, refined, and optimized version of Fremont’s “tent.”
A Gigafactory Formula
Tesla critics typically overlook the fact that the Fremont Factory is a legacy car plant at its core. It’s an expansive facility, and it is impressive in its own right, but it’s not a site developed specifically to produce all-electric cars. Thus, for the Model S, Model X, and the Model 3’s early days, Tesla was essentially developing a system that makes EVs at scale using a facility designed initially to manufacture cars equipped with the internal combustion engine.
Of course, Tesla has made numerous adjustments to make the Fremont Factory into one of the most advanced electric vehicle plants in the market. However, it is difficult not to be impressed with Tesla’s quick production ramp and flexibility in Gigafactory Shanghai, arguably the first EV factory that the company built using its GA4 formula, with its simple production lines to its numerous loading bays at its side. This concept seems to have been carried over to Gigafactory Berlin, which is expected to ramp its operations at a rate that rivals even that of Giga Shanghai.
A Matter of Scale
Ultimately, it appears that GA4 was Tesla’s “eureka” moment of sorts, at least for its electric vehicle factories. By scaling up and refining the sprung structure-based concept, Tesla was able to create monster factories like Giga Shanghai, and later this year, Gigafactory Berlin as well. However, this is not all as Tesla seems to be adopting an updated design for Gigafactory Texas, with its three main buildings built parallel with each other. Little is known about the reasons behind Giga Texas’ design, but there’s little doubt that the expansive facility will be very impressive when completed nonetheless.
Prior to the Model 3’s “production hell,” Elon Musk spoke about Tesla’s “Alien Dreadnought” factories, which are supposed to be so automated and advanced that they would resemble alien facilities featured in sci-fi fiction. Tesla seems to have shelved this idea following the Model 3’s challenges in its initial production ramp. With an established Gigafactory formula of sorts in its repertoire, however, and coupled with innovations such as the Model Y’s megacasts, Elon Musk’s dreadnoughts may not be too far into the future at all.
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Tesla hints toward Premium Robotaxi offering with Model S testing
Why Tesla has chosen to use a couple of Model S units must have a reason; the company is calculated in its engineering and data collection efforts, so this is definitely more than “we just felt like giving our drivers a change of scenery.”
Tesla Model S vehicles were spotted performing validation testing with LiDAR rigs in California today, a pretty big switch-up compared to what we are used to seeing on the roads.
Tesla utilizes the Model Y crossover for its Robotaxi fleet. It is adequately sized, the most popular vehicle in its lineup, and is suitable for a wide variety of applications. It provides enough luxury for a single rider, but enough room for several passengers, if needed.
However, the testing has seemingly expanded to one of Tesla’s premium flagship offerings, as the Model S was spotted with the validation equipment that is seen entirely with Model Y vehicles. We have written several articles on Robotaxi testing mules being spotted across the United States, but this is a first:
🚨 Tesla is using Model S vehicles fitted with LiDAR rigs to validate FSD and Robotaxi, differing from the Model Ys that it uses typically
Those Model Y vehicles have been on the East Coast for some time. These Model S cars were spotted in California https://t.co/CN9Bw5Wma8 pic.twitter.com/UE55hx5mdd
— TESLARATI (@Teslarati) December 11, 2025
Why Tesla has chosen to use a couple of Model S units must have a reason; the company is calculated in its engineering and data collection efforts, so this is definitely more than “we just felt like giving our drivers a change of scenery.”
It seems to hint that Tesla could add a premium, more luxury offering to its Robotaxi platform eventually. Think about it: Uber has Uber Black, Lyft has Lyft Black. These vehicles and services are associated with a more premium cost as they combine luxury models with more catered transportation options.
Tesla could be testing the waters here, and it could be thinking of adding the Model S to its fleet of ride-hailing vehicles.
Reluctant to remove the Model S from its production plans completely despite its low volume contributions to the overall mission of transitioning the world to sustainable energy, the flagship sedan has always meant something. CEO Elon Musk referred to it, along with its sibling Model X, as continuing on production lines due to “sentimental reasons.”
However, its purpose might have been expanded to justify keeping it around, and why not? It is a cozy, premium offering, and it would be great for those who want a little more luxury and are willing to pay a few extra dollars.
Of course, none of this is even close to confirmed. However, it is reasonable to speculate that the Model S could be a potential addition to the Robotaxi fleet. It’s capable of all the same things the Model Y is, but with more luxuriousness, and it could be the perfect addition to the futuristic fleet.
News
Rivian unveils self-driving chip and autonomy plans to compete with Tesla
Rivian, a mainstay in the world of electric vehicle startups, said it plans to roll out an Autonomy+ subscription and one-time purchase program, priced at $49.99 per month and $2,500 up front, respectively, for access to its self-driving suite.
Rivian unveiled its self-driving chip and autonomy plans to compete with Tesla and others at its AI and Autonomy Day on Thursday in Palo Alto, California.
Rivian, a mainstay in the world of electric vehicle startups, said it plans to roll out an Autonomy+ subscription and one-time purchase program, priced at $49.99 per month and $2,500 up front, respectively, for access to its self-driving suite.
CEO RJ Scaringe said it will learn and become more confident and robust as more miles are driven and it gathers more data. This is what Tesla uses through a neural network, as it uses deep learning to improve with every mile traveled.
He said:
“I couldn’t be more excited for the work our teams are driving in autonomy and AI. Our updated hardware platform, which includes our in-house 1600 sparse TOPS inference chip, will enable us to achieve dramatic progress in self-driving to ultimately deliver on our goal of delivering L4. This represents an inflection point for the ownership experience – ultimately being able to give customers their time back when in the car.”
At first, Rivian plans to offer the service to personally-owned vehicles, and not operate as a ride-hailing service. However, ride-sharing is in the plans for the future, he said:
“While our initial focus will be on personally owned vehicles, which today represent a vast majority of the miles to the United States, this also enables us to pursue opportunities in the rideshare space.”
The Hardware
Rivian is not using a vision-only approach as Tesla does, and instead will rely on 11 cameras, five radar sensors, and a single LiDAR that will face forward.
It is also developing a chip in-house, which will be manufactured by TSMC, a supplier of Tesla’s as well. The chip will be known as RAP1 and will be about 50 times as powerful as the chip that is currently in Rivian vehicles. It will also do more than 800 trillion calculations every second.
Meet the Rivian Autonomy Processor.
Fast, smart, scalable and purpose-built for autonomous driving and the world of physical AI. Hitting the open road in 2026. pic.twitter.com/0wYXi5WKy7
— Rivian (@Rivian) December 11, 2025
RAP1 powers the Autonomy Compute Module 3, known as ACM3, which is Rivian’s third-generation autonomy computer.
ACM3 specs include:
- 1600 sparse INT8 TOPS (Trillion Operations Per Second).
- The processing power of 5 billion pixels per second.
- RAP1 features RivLink, a low-latency interconnect technology allowing chips to be connected to multiply processing power, making it inherently extensible.
- RAP1 is enabled by an in-house developed AI compiler and platform software
As far as LiDAR, Rivian plans to use it in forthcoming R2 cars to enable SAE Level 4 automated driving, which would allow people to sit in the back and, according to the agency’s ratings, “will not require you to take over driving.”
More Details
Rivian said it will also roll out advancements to the second-generation R1 vehicles in the near term with the addition of UHF, or Universal Hands-Free, which will be available on over 3.5 million miles of roadway in the U.S. and Canada.
More than any other feature, our owners have asked for more hands-free miles.
With Universal Hands-Free, you can now enjoy hands-free assisted driving on any road with clearly defined lanes. That’s roughly 3.5 million miles in the U.S. and Canada.
Look for it in our next… pic.twitter.com/ZFhwVzvt6b
— Rivian (@Rivian) December 11, 2025
Rivian will now join the competitive ranks with Tesla, Waymo, Zoox, and others, who are all in the race for autonomy.
News
Tesla partners with Lemonade for new insurance program
Tesla recently was offered “almost free” coverage for Full Self-Driving by Lemonade’s Shai Wininger, President and Co-founder, who said it would be “happy to explore insuring Tesla FSD miles for (almost) free.”
Tesla owners in California, Oregon, and Arizona can now use Lemonade Insurance, the firm that recently said it could cover Full Self-Driving miles for “almost free.”
Lemonade, which offered the new service through its app, has three distinct advantages, it says:
- Direct Connection for no telematics device needed
- Better customer service
- Smarter pricing
The company is known for offering unique, fee-based insurance rates through AI, and instead of keeping unclaimed premiums, it offers coverage through a flat free upfront. The leftover funds are donated to charities by its policyholders.
On Thursday, it announced that cars in three states would be able to be connected directly to the car through its smartphone app, enabling easier access to insurance factors through telematics:
Lemonade customers who own @Tesla vehicles in California, Oregon, and Arizona can now connect their cars directly to the Lemonade app! ⚡🚘
Direct connection = no telematics device needed 📵
Better customer experience 💃
Smarter pricing with Lemonade 🧠This is a game-changer… pic.twitter.com/jbabxZWT4t
— Lemonade (@Lemonade_Inc) December 11, 2025
Tesla recently was offered “almost free” coverage for Full Self-Driving by Lemonade’s Shai Wininger, President and Co-founder, who said it would be “happy to explore insuring Tesla FSD miles for (almost) free.”
The strategy would be one of the most unique, as it would provide Tesla drivers with stable, accurate, and consistent insurance rates, while also incentivizing owners to utilize Full Self-Driving for their travel miles.
Tesla Full Self-Driving gets an offer to be insured for ‘almost free’
This would make FSD more cost-effective for owners and contribute to the company’s data collection efforts.
Data also backs Tesla Full Self-Driving’s advantages as a safety net for drivers. Recent figures indicate it was nine times less likely to be in an accident compared to the national average, registering an accident every 6.36 million miles. The NHTSA says a crash occurs approximately every 702,000 miles.
Tesla also offers its own in-house insurance program, which is currently offered in twelve states so far. The company is attempting to enter more areas of the U.S., with recent filings indicating the company wants to enter Florida and offer insurance to drivers in that state.
Tesla hints toward Premium Robotaxi offering with Model S testing
Rivian unveils self-driving chip and autonomy plans to compete with Tesla
