News
Tesla’s ‘skunkworks lab’ for its custom battery cell pilot production line is growing
Tesla’s Battery Day may still be a couple of months away, but hints about the highly-anticipated event’s details are already abounding. With Elon Musk specifically mentioning that the event will be held in Fremont, and that it will include a tour of the company’s pilot battery cell production line, it appears that previous reports, which point to a “skunkworks lab” in the city, were accurate. What’s more, documents filed by the electric car maker in previous months seem to indicate that its mysterious pilot battery cell facility is growing.
Initial leaks and reports about Tesla’s mysterious “skunkworks lab” were posted as early as June 2019, with a CNBC article stating that the facility is located at Kato Road, just a few minutes away from the Fremont factory, where the Model S, Model 3, Model X, and Model Y are built. Citing former and current Tesla employees, the news agency stated that Tesla’s R&D teams were focused on prototyping and designing advanced lithium-ion batteries, as well as new equipment and processes that could usher in the mass production of the next-gen cells.
These batteries are now widely speculated to be the million-mile battery that has been mentioned by the company. The million-mile battery is a significant part of Tesla’s game plan, being the one defining factor that could help electric vehicles achieve price parity with gas powered cars, and allow battery storage devices to last decades when deployed. Amidst the wait for Battery Day, speculations are abounding that Tesla will be conducting a deep dive into its million-mile batteries during the event, similar to how Autonomy Day included an in-depth discussion on the company’s custom Hardware 3.0 computer.
As it turned out, Tesla’s skunkworks lab at Kato Road has been very busy this year. A proposal submitted last March, for example, outlines plans to redevelop the existing site by adding floors to the facility. According to Tesla, the redesigned building will be housing 45 research and development employees and up to 425 manufacturing workers that are spread through several shifts from Monday through Friday. This appears to suggest that the company, as early as March this year, was looking to ramp the battery cell output of its pilot production line.
Interestingly enough, Tesla has also been posting multiple job listings on its Careers page that were specifically focused on battery cell manufacturing. By May 2020, Tesla had posted job listings for Cell Engineers, Production Process Engineers, and Controls Engineers. A look at these listings would show references to a battery cell manufacturing operations, and as luck would have it, the posts listed Fremont, California as their location.
Further documents show that Tesla had also requested to increase its power demand by 6 MW, further hinting that activities in the site are poised to ramp soon. This proposal, based on a response from PG&E that was recently shared online, was approved.
Based on these filings and job listings, it is evident that Tesla’s pilot battery cell manufacturing line has been ramping, or at least is poised to ramp, its operations. This is particularly impressive, considering that the Kato Road facility, which reportedly hosts the company’s skunkworks lab, is a fairly small site, comprising of two buildings that cover 184,880 sq. ft. combined. This means that even in this relatively small location, Tesla has been able to create a pilot line for a new breed of batteries that can change the EV game. This is quite a significant accomplishment, considering that previous battery lines are known to consume a lot of space.
Tesla’s Gigafactory Nevada facility is the perfect example of this. Giga Nevada primarily produces battery cells, and it is poised to be one of the largest buildings in the world by footprint once it’s complete. If Tesla’s pilot battery cell production line in Kato Road is indeed fully functional and ramped, then one can only imagine how much more batteries facilities like Gigafactory Nevada can produce with the company’s next-generation technology.
Tesla’s proposal for an expansion of its Kato Road facility could be accessed below.
Tesla Kato Road Update by Simon Alvarez on Scribd
H/T JPR007
News
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance.
More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system.
Jensen Huang’s praise for Tesla FSD
Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”
During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:
“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said.
Nvidia’s platform approach vs Tesla’s integration
Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.
“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.
He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.
“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”
He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.
Elon Musk
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters.
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI’s turbine deal details
News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.
As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X.
xAI’s ambitions
Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”
The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others.
Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote.
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
