Over the last few weeks, SpaceX’s Florida Starship launch pad construction has made some major progress and the structure that will one day support the first East Coast Starship and Super Heavy flight tests have grown several stories tall and show no signs of slowing down.
In a bid to make what could otherwise be an extremely expensive and time-consuming ordeal much faster and cheaper, SpaceX’s Starship/Super Heavy launch pads will be quite a bit different from the company’s several existing launch pads. This includes Kennedy Space Center’s LC-39A pad, leased and operated by SpaceX for Falcon Heavy and Crew Dragon missions and formerly used for dozens of Space Shuttle launches and all Saturn V Apollo Moon missions.
In a very on-brand move, SpaceX has decided to build Starship’s East Coast orbital pad within the bounds of Pad 39A but without using the pad’s existing launch mount or concrete flame trench. Instead, SpaceX is building a separate steel mount and water-cooled thruster diverter designed to stand up to the fury of a Super Heavy booster without allowing the rocket’s plume to dig a crater in the ground after ever ignition.
While choosing to pursue a dramatically different launch pad design for Starship may at first glance seem risky, SpaceX actually has more than a decade of experience building and operating similar mount and flame diverter setups at its McGregor, Texas rocket development and test facilities. A step further, NASA itself once heavily relied on similar technologies and strategies to rapidly build, test, and fly rockets larger than anything that came before them.
Most notably, the Saturn I rocket that preceded the massive Saturn V used a launch mount and flame diverter that looks quite similar to a conceptual setup SpaceX recently showed off in an updated Starship launch render.
SpaceX’s Starship mount is substantially taller, has gone with steel instead of reinforced concrete, and will have a fixed flame deflector, but the similarities are otherwise significant. Conceptually, both mounts are topped with a flat surface with numerous support arms and a large cutout for the rocket to sit atop and its exhaust to exit through. Similar to Falcon 9, the single-core Super Heavy booster mount shown in SpaceX renders will likely have four hold-down clamps and two tail service masts (TSMs), umbilical connections that supply the rocket with propellant, electricity, connectivity, and any other required fluids.
As described and pictured above, Starship’s Pad 39A launch mount has rapidly grown from a few metal beams into a major structure in just the last few weeks. By rough estimate, the existing mount is already 20 or so meters (70+ ft) tall and has large mounts for the installation of additional structures on top of it, while the conceptual mount shown in SpaceX renders appears to be about 25-30 m (80-100 ft) tall.
In the last few days, technicians have begun installing the first framework of the flame diverter SpaceX will use to prevent Starship from damaging itself or its surroundings during static fires and launches. Given the fact that Starship’s Super Heavy booster – as currently described – will be the single most powerful launch vehicle in history, such a vast amount of energy is not easy to dissipate. To accomplish that task, SpaceX revealed in August 2019 planning documents that the 39A diverter would be water-cooled.
The largest thrust diverter SpaceX has built supports the company’s McGregor, Texas booster test stand and has supported dozens upon dozens of integrated static fire tests. Originally designed to enable integrated triple-booster Falcon Heavy testing, SpaceX ultimately decided not to use that capability but the diverter is still immense, likely measuring at least 15m (50 ft) tall and 10m (33 ft) wide. By building dozens of pipes into the surface and structure of the diverter and filling those pipes with recirculating water, it can survive several minutes of hot rocket exhaust without suffering catastrophic erosion or outright melting.
It’s safe to say that Super Heavy will require a diverter that is far larger still to survive thrust equivalent to more than three Falcon Heavy rockets, but that very diverter and launch mount are already well on their way to completion at SpaceX’s Kennedy Space Center launch pad.
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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
