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SpaceX static fires Falcon 9 with satellites on board for the first time in years
SpaceX has successfully completed a Falcon 9 static fire ahead of Starlink’s first dedicated launch, breaking a practice that dates back to Falcon 9’s last catastrophic failure to date.
That failure occurred in September 2016 around nine minutes before a planned Falcon 9 static fire test, completely destroying the rocket and the Amos-6 communications satellite payload and severely damaging Launch Complex 40 (LC-40). Since that fateful failure, all 42 subsequent Falcon 9 and Falcon Heavy satellite launches have been preceded by static fire tests without a payload fairing attached. This process typically adds 24-48 hours of work to launch operations, an admittedly tiny price to pay to reduce the chances of a rocket failure completely destroying valuable payloads. With Starlink v0.9, SpaceX is making different choices.
When supercool liquid oxygen ruptured a composite overwrapped pressure vessel (COPV) in Falcon 9’s upper stage, the resultant explosion and fire destroyed Falcon 9. Perhaps more importantly, the ~$200M Amos-6 satellite installed atop the rocket effectively ceased to exist, a loss that posed a serious threat to the livelihood of its owner, Spacecom. Posed with a question of whether saving a day or two of schedule was worth the potential destruction of customer payloads, both customers, SpaceX, and their insurers obviously concluded that static fires should be done without payloads aboard the rocket.
The only exceptions since Amos-6 are the launch debuts of Falcon Heavy – with a payload that was effectively disposable and SpaceX-built – and Crew Dragon DM-1, in which Falcon 9’s integration with Dragon’s launch abort system had to be tested as part of the static fire. Every other SpaceX rocket launch since September 2016 has excluded payloads during each routine pre-flight static fire.
SpaceX’s Spacecraft Emporium
Why the change of pace on this launch, then? The answer is simple: for the first time ever, SpaceX is both the sole payload/satellite stakeholder and launch provider, meaning that nearly all of the mission’s risk – and the consequences of failure – rest solely on SpaceX’s shoulders. In other words, SpaceX built and owns the Falcon 9 assigned to the mission, the 60 Starlink test satellites that make up its payload, and the launch complex supporting the mission.
Even then, if Falcon 9 were to fail during an internal SpaceX mission, customer launches could be seriously delayed by both the subsequent failure investigation failure and any potential damage to the launch complex. In short, although an internal mission does offer SpaceX some unique freedoms, it is still in the company’s best interest to treat the launch like any other, even if some customer-oriented corners are likely begging to be cut. Additionally, the loss of SpaceX’s first dedicated payload of 60 Starlink satellites could be a significant setback for the constellation, although it may be less significant than most would assume.
This is not to say that SpaceX won’t take advantage of some of the newfound freedom permitted by Starlink launches. In fact, CEO Elon Musk has stated that one of SpaceX’s 2019 Starlink missions will become the first to reuse a Falcon fairing. Additionally, SpaceX is free to do things that customers might be opposed to but that the company’s own engineers believe to be low-risk. Notably, Starlink missions will be an almost perfect opportunity for SpaceX to flight-prove reusability milestones without having to ask customers to tread outside of their comfort zones.
The sheer scale of SpaceX proposed Starlink constellation – two phases of ~4400 and ~12,000 satellites – means that the company will need all the latent launch capacity it can get over the next 5-10 years, at least until Starship/Super Heavy is able to support internal missions. Extraordinary packing density will help to minimize the number of launches needed, but the fact remains that even an absurd 120 satellites per launch (double Starlink v0.9’s 60) would still require an average of 12 launches per year to finish Starlink before 2030.
In the meantime, thoughts of a dozen or more annual Starlink launches are somewhat premature. SpaceX’s first dedicated Starlink launch (deemed Starlink v0.9) is scheduled to lift off no earlier than 10:30 pm EDT (02:30 UTC), May 15th, and is being treated as an advanced but still intermediary step between the Tintin prototypes and a finalized spacecraft design. Still, in an unprecedented step, SpaceX has built sixty Starlink satellites for the development-focused mission, in stark contrast to the six satellites (still a respectable achievement) competitor OneWeb launched in February 2019 as part of its own flight-test program.
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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
