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SpaceX is building Starship’s East Coast launch site at a breakneck pace
After breaking ground on September 21st, SpaceX and construction contractors are working at a breakneck pace to complete the modifications necessary for the existing Launch Complex 39A pad to support East Coast Starship and Super Heavy launches.
SpaceX is simultaneously preparing two launch sites and two orbital-class Starship prototypes – Mk1 (Boca Chica, Texas) and Mk2 (Cocoa, Florida) – for their inaugural flight tests. Both pads and flight hardware appear to feature unique design choices and clearly have different strategic value, but one thing remains entirely consistent: SpaceX is not wasting time at either site.
Less than five days after SpaceX received its final construction permit and broke ground at Pad 39A, the company and its contractors have made quick work of clear the ground. Major earthmoving is well underway, concrete deliveries have already begun, and piles are being driven in a bid to quickly secure the proposed Starship launch mount’s foundation.
Per descriptions and drawings included in environmental assessments and water management documents published in August and September, SpaceX – already leasing and operating out of Pad 39A – intends to modify the NASA-owned Kennedy Space Center (KSC) facilities. Once complete, Pad 39A will be able to simultaneously support both Falcon 9/Heavy and Starship/Super Heavy launches. Per communications archived as part of St. Johns River Water Management District (SJR) permitting, SpaceX also needed NASA approval to attain the stormwater management permits needed to begin its Pad 39A modifications.
The fact that SpaceX has already broken ground guarantees that NASA and KSC have already given SpaceX full permission to do so, meaning that the path to complete Pad 39A’s Starship launch accommodations is nearly wide open. The only thing SpaceX still needs – assuming the company hasn’t already received approval – is one last major permit in the form of a positive National Environmental Policy Act (NEPA) environmental assessment (EA), the final draft of which was published on August 7th. SpaceX can technically continue construction but it will need to secure NEPA approval before it can begin any sort of Starship operations at the new facilities.
Meanwhile, although it’s pretty clear that a large portion of SpaceX’s Cocoa, FL Starship crew has been diverted to help with Mk1 in Texas, a skeleton crew continues to do what they can to prepare Starship Mk2 for its next major assembly milestones. Most notably, the prototype’s upper (top) tank dome was rolled out of the facility’s assembly building, a strong indicator that it’s nearly ready for installation atop Starship Mk2’s tank section. This will ‘cap off’ Starship Mk2, a milestone its sister ship reached on September 14th. As such, Mk2 is likely two or so weeks behind Mk1 after suffering delays at the hand of Hurricane Dorian and after CEO Elon Musk likely decided to prioritize Starship Mk1’s pre-presentation preparations.
Most importantly, a few local observers have noted and continued to document the process SpaceX will have to undertake to transport Starship Mk2 from Cocoa to Cape Canaveral – specifically Pad 39A. Several people realized that a nearby railroad bridge’s imminent construction could shortly block the path SpaceX was hoping to use to get Starship to the Indian River, where a barge could carry it the rest of the way to KSC. SpaceX likely has backup routes as options, but they would very likely require far more time and effort.
Time will tell if SpaceX can prepare Starship Mk2 in time to take its original transport route. By all appearances, if the prototype’s transport ends up being delayed, Pad 39A’s newly minted Starship launch facilities will likely be ready and waiting once the rocket arrives.
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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
