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Tesla is pushing the limits of its proven Gigafactory formula in Texas
Tesla has, for all intents and purposes, developed a strategy for building its Gigafactories in a quick and efficient manner. This was shown in Gigafactory Shanghai, which started mass production of the Made-in-China Model 3 within a year after its groundbreaking ceremony, and in Giga Berlin, which is now also taking form despite the trickle of permits from German authorities.
Tesla’s Gigafactory formula seems to have been inspired by GA4, a “tent”-based Model 3 production line constructed in the Fremont Factory grounds as a way for the company to manufacture more vehicles during a period described by Elon Musk as “production hell.” The concept of GA4 was simple. Cars are progressively assembled as they pass through the sprung structure, while supplies are delivered through the loading bays at the side.
A look at Gigafactory Shanghai suggests that the facility is but a more permanent and evolved form of GA4, from its straightforward vehicle assembly process to its numerous loading bays. This was true for both the first and second phases of the facility, which produce the Model 3 and Model Y, respectively. Giga Shanghai’s construction was extremely rapid, with crews working 24/7 to finish the Phase 1 building’s factory shell. Once this was done, equipment was installed, and trial production of Model 3 test units started.
Gigafactory Berlin appears to be following a relatively similar pattern. During the massive facility’s buildout, it seemed that equipment was only installed after the complex’s buildings themselves were nearing completion. Granted, part of this may be due to the fact that Giga Berlin had to be constructed according to the permits that the facility receives. But despite this, the German plant seems to be progressing at a pattern that is quite similar to its China-based counterpart.
This does not seem to be true for Gigafactory Texas at all. Over the past months and as the facility enters its eighth month of construction, the activities surrounding Giga Texas have been incredibly interesting. In January, shipments from IDRA, the company behind the Model Y’s massive Giga Press in the Fremont Factory, were spotted in the complex. What appeared to be robots for vehicle production lines were spotted not long after.
Recent flyovers of the Gigafactory Texas complex suggest that there is now a steady stream of equipment being delivered and possibly being installed on the site. This was evident in a recently shared video from the Terafactory Texas YouTube channel, which captured images of what seemed to be Model Y Body-in-White machines being moved around the area.
It should be noted that Gigafactory Texas has only been under construction for eight months, and a significant part of its factory shell is yet to be completed. Despite this, Tesla already seems intent on initiating the installation and setup of its production equipment. This includes its Giga Press machines, which would produce the Model Y’s single-piece rear underbody.
This strategy would require a great deal of synchronization, of course. But if successfully done, such a system could result in Giga Texas being built at a rate that’s significantly faster than Giga Shanghai or Gigafactory Berlin.
Overall, it appears that over the years, Tesla has come up with a solid formula that enables the company to build its Gigafactories quickly. But in true Elon Musk fashion, Tesla seems to be determined to improve a proven formula nonetheless. Gigafactory Texas is quite fascinating in this sense, as it could very well be a project that demonstrates once and for all that it takes boldness and a constant urge to innovate to truly change the industry.
Watch a recent flyover of the Gigafactory Texas complex in the video below.
https://youtu.be/kaKI7aMG6_k
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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
