News
SpaceX to replicate Starbase, build multiple Starship launch pads in Florida
Less than two weeks after CEO Elon Musk revealed that SpaceX has restarted construction of a Starship launch site at Kennedy Space Center’s existing LC-39A pad, NASA has revealed the company’s plans for an entirely different Starship launch site just a few miles to the north.
Known as Launch Complex 49 (LC-49) and located where NASA once considered building LC-39C, a third Saturn-class pad to match 39A and 39B, NASA now says that SpaceX aims to develop the site into a dedicated Starship launch pad. The plot of land NASA deemed LC-49 as recently as 2017 sits about 1 mile (1.6 km) northwest of NASA’s LC-39B Space Launch System (SLS) pad and 3 miles (5 km) northwest of LC-39A, which SpaceX has leased since 2014 and launched out of since 2017. Unlike 39A, though, SpaceX has a huge amount of work – and major environmental reviews – ahead of it to turn LC-49 into a site capable of launching a rocket more than twice as powerful as Saturn V.
As of today, “LC-49” amounts to a mostly arbitrary dotted line on a map. Situated a few thousand feet south of the lovingly named Mosquito Lagoon Aquatic Preserve and Canaveral Seashore National Park, the site encompasses a variety of wild wetlands and is fully undeveloped. While substantially wetter, the land SpaceX hopes to develop is actually quite similar to the site that now hosts Starbase’s Starship launch facilities in Boca Chica, Texas. Prior to SpaceX’s arrival, the area was empty coastal mudflats.
To turn such a fragile and unstable area into an orbital launch site, SpaceX trucked in thousands of tons of soil, which then sat in a pile for three years ‘surcharging’ or compressing the ground beneath it. Ironically, while SpaceX did build a relatively small suborbital launch site where it surcharged, the company has built the site’s first orbital Starship launch pad a bit to the east, where no such preparations were made. That bodes well for the speed with which SpaceX could potentially build LC-49 from nothing, though it will likely be significantly more of a challenge.
Because NASA’s proposed LC-49 site is effectively swamp and marshland, SpaceX will have to create the ground any planned Starship launch site will stand on. It’s possible that soil surcharging will be required – and potentially on an even larger scale than what SpaceX did in Boca Chica. However, given that SpaceX ultimately didn’t even use that surcharged land to construct the orbital half of the pad, it’s possible that SpaceX will again be able to make do with less time-consuming construction methods. If SpaceX does more or less replicate an orbital launch site similar to Starbase’s, the pad could be ready to launch just 12-18 months later. NASA and SpaceX will have to complete environmental reviews along the way but given planning work that NASA’s already done over the decades, it’s possible that SpaceX will be able to start building LC-49 well before that process – which could take one or several years – is complete.
No less intriguing is NASA’s implication that SpaceX is simultaneously preparing to expand a facility it leases elsewhere at Kennedy Space Center. Currently used to process and store Falcon boosters, fairings, and upper stages, SpaceX has been clearing a lot beside that hangar that’s about the same size as the entirety of Starbase’s South Texas Starship factory. The obvious implication: SpaceX intends to both build and launch Starships out of multiple Florida launch pads.
Just a few miles south, CEO Elon Musk says that SpaceX has restarted work on a separate Starship launch pad situated on Pad 39A grounds after halting construction last year to focus on South Texas. SpaceX chose to entirely scrap the unfinished launch mount it had built, clearing the site for the construction of a new and improved version of Starbase’s orbital launch site. Altogether, SpaceX is now simultaneously constructing two orbital Starship launch pads (one at Starbase and one at 39A) and planning for the construction of two or three more (a second at Starbase and at least one or two at LC-49).
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
