News
SpaceX’s upgraded Starship factory begins to take shape in South Texas
After a few months of foundation work, SpaceX has begun assembling the first section of a vast new Starship manufacturing building that will eventually replace a series of tents also known as ‘sprung structures’.
SpaceX and its contractors began erecting those tents in late 2019 after a mostly successful series of tests involving Starhopper – a steel rocket built on an unprotected concrete lot – and shortly before a less successful attempt at testing the first truly Starship-esque prototype. Inside and around those new tents, SpaceX took steps to significantly upgrade its Starship production methods and assembly facilities, ultimately settling on a process that is still very familiar more than two years later.
Nonetheless, in typical SpaceX fashion, the company appears to have outgrown those tents and set its sights on constructing a brand new Starship manufacturing facility – traditional roof and all – that will likely replace most or all temporary Starbase structures in the near future.
As previously discussed on Teslarati, documents submitted to a Florida water management agency have already revealed plans for a similar East Coast Starship factory and shed light on what the first unofficially named ‘Starfactory’ might look like in Texas.
“According to RGV Aerial Photography, SpaceX…aims to replace all of Starbase’s tents with a single 300,000 square-foot (~28,000 square-meter) building that will be about 18 meters (60 ft) tall and likely measure around 800 feet (250m) long and 400 feet (120m) wide. Starbase’s tents are roughly the same height, but their tented roofs mean that only a fraction of that height can be used for ring work and only a fraction of the floor space for taller nose work.
In comparison, a 300,000 square-foot building would have almost two and half times as much covered floor space as Starbase’s three tents – all of which can theoretically be used for ring and nose section assembly. In fact, with a mostly flat 18-meter roof, SpaceX could feasibly expand most ‘stacks’ by a ring or two, which would reduce the number of sections (and thus stacking operations) needed to assemble a ship or booster.”
Teslarati.com – March 4th, 2022
A month and a half later, SpaceX (or its contractors) began raising the first steel beams of the new building and made significant progress in just a handful of days. The first vertical beam was erected on April 19th. Around 48 hours later, several roof beams measuring a good 200+ feet (60+ meters) wide were assembled out of smaller pieces and installed on top of the structure’s vertical beams. As-is, the structure likely represents a good view of the front profile of the first of three new Starship production buildings that will eventually be joined to form one giant, monolithic rocket factory.

Notably, the skeleton of the building appears to be closer to 40-50 feet tall instead of the 60 feet predicted – short enough that it likely won’t allow SpaceX to increase the height of the different sections of stacked steel rings that make up most of Starship and Super Heavy. It’s possible that another level will be added for utilities and bridge cranes but the framework currently being installed will likely cap the height of Starship sections at five standard rings (9m/30ft tall). It’s not impossible that yet-to-be-constructed sections of the new factory will be taller, but that would run counter to SpaceX’s established method of production, in which Starship sections move through multiple tents throughout assembly and outfitting.
Construction of the new factory began adjacent to Starbase’s existing tents. As work progresses and the framework turns into a real building, it remains to be seen if SpaceX will use the first building to trial a number of production upgrades, fill it with new Starship production equipment under the same paradigm as existing methods, or physically relocate an existing assembly line inside it.
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.