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SpaceX VP says Starship is already winning commercial launch contracts

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A SpaceX executive says that the company’s next-generation, fully-reusable Starship rocket has already secured multiple commercial launch contracts.

Set to debut no earlier than (NET) the first quarter of 2022 with a semi-orbital launch that aims to send Starship about 85% of the way around the Earth, Starship has a ways to go before it’s ready to routinely launch payloads. Nonetheless, SpaceX is confident enough in Starship’s eventual success to have effectively made it the foundation of every one of the company’s future goals – both in the short and long term.

Today, SpaceX’s Falcon rockets have become a spectacularly successful revolution in cost-effective launch through reusability and vertical integration, among other things. Thanks to that unprecedented affordability, SpaceX has been able to kick off the deployment of its Starlink internet constellation, launching more than 1800 satellites and becoming the largest satellite operator in history in less than two and a half years. Where competition is possible, Falcon 9 dominates the global commercial launch market for both small and large satellites. And yet despite its staggering success, Falcon 9 remains at least one or two magnitudes too expensive and too performance-constrained to realize SpaceX’s grander ambitions.

Those overarching goals are simple enough and directly related. First, SpaceX – through Starlink – aims to blanket the Earth’s surface with high-quality, affordable satellite internet that is either indistinguishable from or better than ground-based alternatives, ultimately connecting tens or even hundreds of millions of people to the internet. Second, SpaceX’s founding goal has always been to make humanity a multiplanetary species by enabling the creation of one or several permanent, self-sustaining cities on Mars. For the latter goal, Starship or a fully reusable rocket like it has always been essential – without which it would be prohibitively expensive to launch the sheer mass and volume of supplies needed to build a city on another world.

Recently, if SpaceX’s often hyperbolic CEO is to be believed, Starlink’s success has also become dependent on Starship, with Musk stating in a company-wide memo that SpaceX as a whole could face bankruptcy if Starship isn’t ready to launch 200+ Starlink satellites per month by the end of 2022. While it’s simply untrue that SpaceX is at risk of bankruptcy, there might be some truth behind Musk’s statement. Fearmongering aside, the gist of Musk’s argument is that Starlink is “financially weak” under the current paradigm, where Falcon 9 delivers approximately 50 300-kilogram (~650 lb) satellites to orbit with each launch.

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In the same vein as Starship, Musk believes that next-generation “Starlink V2” satellites – several times larger than V1 satellites – will drastically improve the cost-effectiveness of the constellation by allowing SpaceX to squeeze much more network capacity out of every unit of satellite mass. However, making Starlink V2 satellites several times larger would reduce the efficiency of launching them on Falcon 9 by an equal degree – hence the apparently dire need for Starship.

Contrary to Musk’s apocalyptic vision, even if it might be significantly slower and more expensive to deploy, it’s quite likely that a full Starlink V1 constellation launched by Falcon 9 could still be economically viable. What it probably wouldn’t be, though, is exceptionally profitable, which has long been SpaceX’s main plan for funding its multiplanetary dreams. With a Starship capable of achieving its design goals, that could change.

According to Musk and other SpaceX executives, the true cost – before payloads – of a flight-proven Falcon 9 launch is somewhere between $15M and $28M. At an estimated cost of $250-500k apiece, 50-60 Starlink V1 satellites raise the total cost of a Starlink launch to approximately $30-60M – the range between marginal and total cost. In a partially reusable configuration, Falcon 9 is capable of launching about ~16 tons (~35,000 lb) to low Earth orbit (LEO).

Starship, however, is designed to launch at least 100 tons (~220,000 lb) and possibly up to 150 tons (~330,000 lb) to LEO for a marginal cost of as little as $2M. Even if SpaceX is a magnitude off of that target and never gets beyond 100t to LEO, a $20M Starship launch fully loaded with Starlink satellites would still cost five times less than Falcon 9 per unit of satellite mass launched. At 150 tons to LEO for $10M, Starship would cost 15 times less. If SpaceX one day perfects full reusability and marginal costs do fall to $2M, a 150-ton Starship launch could be up to 70 times cheaper than Falcon 9.

For the exact same reasons it could radically improve the cost-efficiency of Starlink deployment and finally make humanity’s expansion beyond Earth affordable enough to be viable, Starship would also inherently revolutionize access to space for all other launch customers – not just SpaceX.

According to SpaceX Vice President of Commercial Sales Tom Ochinero, Starship has already begun to make inroads with SpaceX’s healthy list of existing Falcon customers. While relatively minor and inevitable, it’s still an important symbolic step for SpaceX and Starship as it attempts to deliver a launch vehicle so cheap and capable that it ushers the company’s own Falcon rockets into retirement.

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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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