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Tesla’s 4680 Kato Rd. facility has a top 10 capacity, and it’s not even close to finished
Tesla CEO Elon Musk disclosed some details about the electric automaker’s 4680 cell plant last week. After stating that the facility is “probably in the top 10 battery cell factories on Earth despite being a pilot plant,” speculation began about how massive Tesla’s new facility that sits just across the street from the Fremont production facility is. Although it is in the top 10, it’s not even close to finished.
Tesla’s introduction of the 4680 battery cell came in September 2020 at the Battery Day event. Musk and others outlined the company’s roadmap for global EV dominance through the most important part of an electric car: the cell. The new cell has 500% more energy, six times the power of the old 2170 cells, and also offers dramatic range increases for more drive time between charges. It was truly revolutionary because Tesla is already the most notable company in electric cars.
With a considerable lead in the EV sector, Tesla was effectively announcing, “eat our (sustainable) dust” after showing the new 4680 cells. Some were skeptical, believing that the new cell wouldn’t be available for some time. Musk immediately silenced those doubts, indicating that the new cells had been deployed in working vehicles for months.
Credit: Tesla
The point is, the Kato Road facility, as it is widely known as, is one of the largest facilities in the world. While we are not sure what the current capacity is, if it is a top 10 facility in terms of capacity, we can speculate how big it may be.
According to Argus Media, the 10 largest battery cell plants range from 24 GWh per year to 70 GWh per year. The largest, an LG Chem facility in Wroclaw, Poland, has the 70 GWh capacity, leading BYD’s Qinghai, China plant by 10 GWh. Tesla and Panasonic’s joint venture at Gigafactory 1 in Nevada is a 35 GWh per year facility, making it the fifth-largest plant globally.
Credit: Argus Research
Because Tesla’s Kato Road facility is a pilot plant, we can likely assume that it is within the bottom half of this list. Especially with Gigafactory 1 being the fifth-largest, it is very likely that Kato Road is simply not producing as many cells or as much battery capacity as Giga 1, but it’s not to say that this won’t happen. The issue is that Tesla is still battery constrained, even with a large-scale facility in Nevada and with several third-party manufacturers pumping cells to the automaker at a massive rate. Kato Road will contribute to the solution to the constrained problem, and the facility will likely be significantly larger than Giga 1, considering the projects that Tesla plans to fulfill with the 4680 cells, the largest being the Tesla Semi.
The Semi is still not ready for production, Musk said on the Q4 Earnings Call last week. “We will have cells group in ourselves for Semi when we were producing the 4680 volume. But for example, Semi would use typically five times the number of cells that a car would use, but it would not sell for five times what a car would sell for. So it kind of doesn’t make…it would not make sense for us to do the Semi right now,” Musk said. The issue is cell availability, and since the Semi is going to equip Tesla’s newest 4680 project, it is safe to assume that Kato Road still has some expanding to do. If it is already a top 10 facility, yet it is still not ready to take on the massive Semi task, along with all of the other vehicles it will eventually fulfill, Kato Road may become a top 3 facility.
Ultimately, Tesla requires more cells. With no plans to eliminate purchases from third-party suppliers in the near-term, Tesla wants to increase purchases from those suppliers. CATL, Panasonic, and LG Chem could supply Tesla with more batteries moving forward, even with the Kato Road facility’s expansion and ramping up. The fact is, Tesla isn’t done solving the battery constraint issue, and it could battle with it for years to come. However, it won’t stop production from increasing because more cells are becoming available almost every day through supplier deals, increased outputs, and in-house manufacturing advancements, all of which make Tesla the company to beat for the foreseeable future.
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
