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A Tesla Supercharger V3 invasion is coming, and it’s starting in a nondescript building in Shanghai
Inside an unmarked, nondescript building less than four miles away from the growing, sprawling Gigafactory Shanghai complex, American electric vehicle maker Tesla is starting what could very well be another disruption in the making. Tesla announced recently that it had started operations in its first dedicated Supercharger V3 plant in Shanghai. The goal of the facility is simple: it would produce 10,000 Superchargers per year.
This goal is quite impressive considering that Tesla, in its official website, notes that it currently operates just over 20,000 Superchargers stalls in more than 2,000 stations across the globe. This means that if the Shanghai Supercharger V3 plant could hit its target production figures, Tesla should be able to double the number of its Superchargers in just a few years. But this is not the most impressive part of this ramp.
Drone operator WU WA, who has been following the progress of Tesla China’s Shanghai projects for over two years now, noted in a recent flyover that Tesla’s Supercharger V3 plant in Shanghai covers just about 5,000 sqm (about 54,000 square feet). That’s not a small area by any means, but it is very compact considering that the Roadrunner line, which hosts the company’s pilot 4680 battery production line in Fremont, covers over 180,000 square feet. It should also be noted that Tesla’s Roadrunner site is already one of the EV maker’s more conservatively-sized facilities.
The fact that Tesla could essentially produce 10,000 Supercharger V3 stations from a 54,000-sq ft facility every year bodes very well for the electric car maker’s efforts to thrive in the mainstream market. With a growing fleet of vehicles, after all, Tesla needs to expand its Supercharger Network to a significant degree. Adding 10,000 chargers to the network annually from one dedicated facility is a great way to support the company’s aggressive vehicle production ramp.
What is quite impressive is that Tesla was able to establish its Supercharger V3 plant in China in just a few months. Granted, this pace may be quite challenging to replicate in other locations like Giga Berlin considering China’s trademark quick construction, but even a Supercharger plant that takes twice as long to build would already increase expand the rapid-charging network to a significant degree. The fact that a 10,000-per-year Supercharger factory could take up only 54,000 square feet also means that Tesla may very well be able to add such a facility in projects like Giga Berlin and Texas.
As noted in a report from the Harvard Business Review, Tesla’s Supercharger Network is arguably one of the electric car maker’s trump cards in the EV race. Established at a time when the company was only building the Model S sedan, the Supercharger Network has become a tried and tested way for electric car owners to undertake long trips without range anxiety. Considering that Tesla is now attempting to break into new markets like the pickup and Class 8 segments, a robust charging network would likely become more important than ever. Fortunately, if Shanghai’s launch of its Supercharger V3 plant is any indication, it appears that Tesla has figured out a formula of sorts to expand its Superchargers worldwide.
Watch a flyover of Tesla’s Supercharger V3 facility in Shanghai in the video below.
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Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
