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SpaceX considers second Crew Dragon launch pad to reduce risk from Starship

NASA is worried that Crew Dragon's only launch pad could be rendered unusable by an exploding Starship. (Richard Angle/SpaceX)

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Reuters reports that SpaceX has proposed modifying a second Florida launch pad to support Crew Dragon missions after NASA raised concerns about the threat posed by plans to launch Starship out of the only pad currently certified for Dragon.

After more than a year of downtime, SpaceX restarted the construction of an orbital Starship launch site at NASA’s Kennedy Space Center LC-39A pad in late 2021. SpaceX has leased Pad 39A since 2014 and conducted 49 Falcon rocket launches out of the facility since its first use in 2017. Prior to SpaceX’s lease, Pad 39A supported 82 Space Shuttle launches from 1981 to 2011 and every Apollo Program launch to the Moon in the 1960s and 1970s, making it one of the most storied and well-used launch sites in the history of US spaceflight.

In 2018, Pad 39A began supporting launches of SpaceX’s Falcon Heavy, which was and still is the most powerful and capable rocket currently in operation. In May 2020, a Falcon 9 rocket and Crew Dragon spacecraft lifted off with two NASA astronauts in tow, marking SpaceX’s first human spaceflight and the United States’ first domestic astronaut launch of any kind since 2011. The next era of the historic pad could include Starship, a fully-reusable two-stage rocket that SpaceX has been developing in earnest since the mid-2010s. However, NASA is worried that a failure of that immense and unproven rocket could almost instantly destroy what is currently the only launch pad on Earth capable of launching the space agency’s astronauts to the International Space Station (ISS).

One certainly can’t blame NASA for worrying. In its latest iteration, SpaceX’s Starship 39A launch mount will sit roughly 1000 feet (~300m) East of Pad 39A’s existing Falcon launch facilities, which include a tower and arm that are needed for astronauts and cargo to access and board Crew and Cargo Dragons. The Starship mount is also around 1600 feet (~500m) northeast of Pad 39A’s lone horizontal integration hangar, without which Falcon launch operations would become far more difficult or even impossible.

For the Falcon pad and tower, there is a slight consolation: Starship’s own skyscraper-sized launch tower will be located directly between those Falcon facilities and Starship before and during launches and could partially protect them from any hypothetical blast. The hangar will be fully unprotected, however.

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The result of Starship SN9 exploding while nearly empty of flammable propellant. (SpaceX)
At liftoff, a fully-stacked Starship will hold more than three thousand tons of propellant. (SpaceX)

NASA is worried that if a Starship fails before or shortly after launch and explodes at or near its adjacent launch mount, it could destroy or damage the infrastructure the space agency and SpaceX need to launch Crew Dragon to the International Space Station (ISS). At the moment, Boeing – NASA’s second Commercial Crew partner – is likely a year or more away from its first operational astronaut launch, during which Falcon 9 and Crew Dragon will remain a single point of failure that could theoretically sever the space agency’s connection to its own space station at any moment.

In response to NASA’s concern, NASA executive Kathy Lueders – in an interview with Reuters – says that SpaceX has begun working with the agency on plans to both “harden” Pad 39A and modify its Cape Canaveral Space Force Station (CCSFS) LC-40 pad to support Dragon launches. According to Reuters, however, receiving approval to put those plans into action “could take months.” Depending on how significant the facilities LC-40 would need are, there’s also a chance that SpaceX would need to complete a new FAA environmental review to construct a crew access tower.

Pad 39A’s Starship facilities are visible on the left in April 2022. SpaceX has made major progress in the last two months, wrapping up concrete work on the launch tower base and installing all six of the Starship launch mount’s legs. (SpaceX)

Meanwhile, Pad 39A is also the only launch pad in the world capable of supporting Falcon Heavy, which has also become an extremely important rocket for uncrewed NASA spacecraft launches, NASA’s plans to get cargo to its lunar Gateway space station, and to the US military. Modifying one of SpaceX’s other pads to support Falcon Heavy would likely be even harder and take even longer than adding Crew Dragon capabilities to LC-40. In both cases, it’s likely that NASA and the US military would strongly prefer – if they don’t eventually outright require – that SpaceX have backup options already constructed and ready to go before risking the destruction of Pad 39A with its first Starship launch.

39A’s Starship facilities could easily require another 6-12 months of work before they’ll be ready for launch, however, leaving a good amount of time for SpaceX to alleviate the concerns of its US government customers before they might actually start to disrupt plans for East Coast Starship launches.

Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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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.

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Credit: Grok Imagine

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. 

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“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.”

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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.

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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.

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Credit: xAI/X

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.”

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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. 

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Elon Musk’s xAI closes upsized $20B Series E funding round

xAI announced the investment round in a post on its official website. 

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Credit: xAI

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.”

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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. 

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