News
SpaceX rapidly constructing Starship’s first Florida launch pad and tower
After restarting work on the project a few months ago, SpaceX appears to have gotten back up to speed and begun to make rapid progress on the construction of Starship’s first Florida launch pad and tower.
Located at NASA’s Kennedy Space Center (KSC) Launch Complex 39A facilities, SpaceX has intended to construct a Starship launch site there for several years. A serious attempt was made in late 2019 but SpaceX soon abandoned the effort and redirected its energy towards Starship prototyping and a much different launch pad design. Two years later, SpaceX’s second attempt shares only a little in common with the first. Both are to be located within the eastern half of Pad 39A’s shield-like footprint, although the specific location of the tower and launch mount has been modified. If this attempt comes to fruition, Starship’s first East Coast launch facilities will still sit just a few hundred feet away from the only SpaceX pad capable of launching Crew Dragon, Cargo Dragon, or Falcon Heavy.
Beyond those two characteristics, SpaceX’s second attempt is almost entirely different.
Instead of continuing with an older launch pad design, Starship’s 39A facilities will likely be close to a direct copy of Starbase’s first orbital launch site (OLS), which SpaceX began constructing in earnest in late 2020. It’s safe to assume that some lessons have been learned from Starbase OLS construction and that some modifications will be made to the Florida pad’s design, but no obvious changes are thus far visible.
Most of the visible work SpaceX has done this year centers around the company’s KSC-based Roberts Road facilities, where it has built a major Falcon processing facility and a staging yard for Starship pad construction and broken ground on a massive East Coast Starship factory. At that staging yard, SpaceX began assembling prefabricated sections of Starship’s Pad 39A ‘launch tower’ around March 10th after tower parts began arriving at KSC sometime in February. Within two weeks, SpaceX had completed the basic structure of two tower sections. Another two more weeks after that, around April 11th, a third section had reached a similar level of completion and SpaceX had begun assembling a fourth.
Compared to SpaceX’s Starbase tower assembly, Florida Starship work appears to be proceeding at a similar pace. SpaceX began assembling the fourth Florida tower section about 30 days after starting the first, while Starbase took about 25 days to reach the same point. However, SpaceX does appear to be taking a slightly different approach for Pad 39A. On top of tower section assembly, SpaceX is constructing an extra four sets of the small concrete foundations and steel frames each tower section is assembled on, implying that Starship’s Florida launch tower could be almost entirely prefabricated before SpaceX begins to combine those sections.
That differs from Starbase, where SpaceX rarely constructed more than two or three tower sections at a time before removing and stacking each completed section and beginning to assemble the next on the same foundation and jig. However, while undeniably efficient, SpaceX workers then had to spend months outfitting the tower with plumbing, wiring, additional structure, and more. It’s likely that SpaceX has concluded that it’s better to do as much of that work as possible before the tower is assembled, in which case each Florida section may end up spending more time on the ground. Given the obvious challenges imposed by attempting a major construction project at an active, one-of-a-kind launch pad like LC-39A, it would make even more sense for SpaceX to want to complete as much work as possible before moving Starship pad hardware into the line of fire.
Nonetheless, work will still have to be done at the pad itself. In recent weeks, SpaceX has made significant progress on the foundations 39A’s Starship launch tower and mount require. The bottom half of the concrete base that each steel tower section will eventually sit on has also progressed rapidly. All told, SpaceX is will on its way to replicating Starbase’s orbital Starship launch site on the East Coast, hopefully ensuring that Starship will be able to begin orbital test flights within the next 6-12 months even if the company’s Starbase environmental review continues to be bogged down by bureaucracy.
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
