News
SpaceX’s next big BFR spaceship part finished in Port of LA tent facility
The first 9-meter (29.5-foot) diameter composite propellant tank dome for SpaceX’s full-scale BFR spaceship prototype has been spotted more or less complete at the company’s temporary Port of Los Angeles facility, unambiguous evidence that SpaceX is continuing to rapidly fabricate major components of its next-generation rocket.
Speaking at a dedicated BFR update event in mid-September, CEO Elon Musk foreshadowed as much, and recent updates have reiterated just how committed SpaceX is to BFR and just how keen the company is to waste no time at all.
“We’ve built the first cylinder section…and we’ll be building the domes and the engine section soon.” – SpaceX CEO Elon Musk, September 2018
During that September 17th presentation, Musk did not parse his words despite a self-admitted tendency to look at SpaceX’s development program timelines (Falcon 9, Falcon Heavy, Dragon, BFR) through rose-tinted glasses. Just two months after he uttered the quote above, SpaceX has visibly either finished or nearly finished a 9-meter diameter BFR spaceship (BFS) tank dome.
Due to SpaceX’s opaque treatment of development programs (both literally for the tent and figuratively for official updates), it’s possible that this may even the second dome completed so far. Either way, it can be extrapolated – assuming that the layout of BFR 2017 is generally representative of BFR 2018 – that the first spaceship prototype will require two or three roughly identical tank domes. If the common-dome tank layout is basically the same (disclaimer: it might be quite different), then SpaceX may end up mounting BFS’ 7 Raptor engines almost directly to the rear of the bottom tank dome, requiring either significant structural reinforcement or a second uniquely-engineer and optimized dome.
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- A tall platform was moved inside the tent around November 10th, likely to support the integration of the tank dome and barrel section. (Pauline Acalin)
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- The dome was spied inside the tent on November 12. (Pauline Acalin)
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- The dome (left) and barrel section (right) can now be integrated. (Pauline Acalin)
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- BFR 2017’s spaceship engine section. (SpaceX)
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- An overview of BFS (circa 2017). (SpaceX)O
Judging from SpaceX’s and Musk’s desire to make reusable rockets as reliable as (if not even more reliable than) commercial airliners, the safest form of mass-transit humans have created, it seems more likely than not that Raptor and BFR will continue SpaceX’s practice of quite literally surrounding each engine with thrust-transmitting structures that simultaneously act as armored shields. In the event that a Merlin engine fails on Falcon 9 or Heavy, each booster’s octaweb contains nine separate armored chambers that exist to isolate each engine in the event of a catastrophic failure. In fact, a Merlin failure – the only such in-flight failure known – during SpaceX’s CRS-1 Dragon launch in 2012 demonstrated the efficacy of this design, preventing the failure of just one of nine engines from causing total mission failure.
Rise of the ‘hexaweb’?
To replicate that design strategy on BFR (both booster and spaceship) would be an act of simple pragmatism – it’s always preferable to design for survivability and reliability than to couch launch and mission success primarily on the reliability of individual components. Because SpaceX chose not to share similarly detailed cutaways of BFR’s updated 2018 design, it’s unclear if the spaceship’s engine section (“hexaweb”, to borrow from “octaweb”) has changed dramatically.
Given the unexpected decision to move entirely away from a version of Raptor specifically optimized for vacuum operation for BFR’s first iteration, as well as the new presence of ~90 cubic meters of storage bins around the circumference of the spaceship’s aft, it’s possible that SpaceX will opt for a design more reminiscent of the Falcon family’s octaweb.
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- The rear of SpaceX’s updated BFS.
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- A better view. (SpaceX)
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- A September 2018 render of Starship (then BFS) shows one of the vehicle’s two hinged wings/fins/legs. (SpaceX)
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- A gif of Raptor throttling over the course of a 90+ second static-fire test in McGregor, Texas. (SpaceX)
Regardless, the appearance of a completed BFS tank dome is a major development on the vehicle’s path to integrated testing and paves the way for the fabrication of additional tank domes, barrel sections, engine sections, and more. Particularly obvious and noteworthy will be the fabrication of the prototype spaceship’s pointed cone-shaped nose section, its large tripod fins/wings/legs, and its two forward canard wings.
With all three fins/wings installed, BFS – in its current iteration – would have an unbelievable circumference of ~67 meters (220 feet) and a ‘finspan’ of perhaps 21 meters (~70 feet) tip to tip. BFS is going to be a very hard spaceship to hide.
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
