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Musk says SpaceX’s fifth Starship launch is scheduled next week, sets static fire date
Update: As expected, SpaceX has scheduled a road closure on Monday, April 19th – most likely for Starship SN15’s first static fire attempt. The installation of three Raptors could begin at any point over the next three days and generally takes a matter of hours.
CEO Elon Musk says that SpaceX is “aiming to launch” its fifth high-altitude Starship test flight as early as next week, continuing a more or less monthly cadence.
Building off of the successes and learning from the unique failures of Starship prototypes SN8, SN9, SN10, and SN11, SpaceX’s next test flight arguably has the best chance of success yet. That’s thanks in large part to the introduction of “hundreds of improvements” on Starship SN15 – many of which will hopefully address the shortcomings that ultimately destroyed all four of its predecessors.
As of April 15th, SpaceX has canceled road closures on Thursday and Friday, leaving no closures (i.e. testing windows) active – an exceedingly rare occurrence in Boca Chica, Texas. Earlier this week, Starship SN15 appeared to complete cryogenic proof and thrust puck stress tests on Monday, standing up to the thermal stresses of (simulated) cryogenic propellant, the tank pressures required for flight (>6 bar or 90 psi), and the thrust of three Raptor engines.
On Wednesday, SpaceX removed a steel structure fitted with hydraulic rams – used to simulate Raptor thrust – and performed a similar cryogenic proof test later that evening. Instead of testing SN15’s main tanks, though, the second round focused on Starship’s secondary header tanks – meant to store propellant specifically for landing. The results of both tests are unclear but the removal of the ram structure does suggest that the main cryo proof was successful enough that it doesn’t need to be repeated.
With those tests seemingly out of the way, Starship SN15 has just one or two major hurdles standing between it and a launch attempt next week. Notably, because it was the first prototype since SN8 to incorporate hydraulic ram thrust puck testing into its cryo proof, SN15 didn’t roll to the launch pad with Raptor engines already installed. Assuming SpaceX wants to continue testing as soon as possible (i.e. Monday), the company now has around three and a half days to install three Raptor engines.
That should be no problem whatsoever, though Musk has said that SN15 will be the first Starship prototype to fly with upgraded Raptor engines. Depending on how significant those upgrades are, SN15’s Raptor installation process could be longer than usual as engine technicians and engineers install them on a Starship prototype for the first time.
If SpaceX manages that feat by Sunday, Starship SN15 will likely be able to attempt a static fire test on Monday, April 19th. Historically, SpaceX has never flown a Starship less than six days after a three-engine static fire, meaning that a successful Monday test is far from a guarantee that Starship SN15, SpaceX, or the FAA will be ready for a launch attempt next week. Still, Starship SN11 did fly four days after a one-Raptor static fire and SN9 attempted to launch three days after a three-engine test, so it’s far from impossible.
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
