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SpaceX's next launch ready to go just weeks after in-flight engine failure
Just weeks after SpaceX suffered its first in-flight rocket engine failure since 2012, the company has scheduled its next launch on April 16th.
Set to lift off no earlier than (NET) 5:31 pm EDT (21:31 UTC) from NASA Kennedy Space Center (KSC) Launch Complex 39A (Pad 39A), the mission will be SpaceX’s seventh dedicated launch of 60 Starlink satellites. Known as Starlink-6 in reference to the sixth launch of finalized Starlink v1.0 spacecraft, a successful mission could leave SpaceX with some ~410 operational satellites in orbit – significantly more than twice as big as the next largest constellation.
More importantly, Starlink-6 will mark a sort of return-to-flight for Falcon 9 after booster B1048 suffered an in-flight engine failure and missed its landing attempt on March 18th. While the booster was able to sacrifice itself to ensure that the overall Starlink-5 mission was a success, any in-flight failure is still a significant event in aerospace. To that end, very little is known about the Starlink-5 anomaly, aside from announcements that both NASA and the US Air Force will be paying close attention to the results of SpaceX’s internal investigation. Starlink-6’s imminent launch is now the latest piece of that puzzle, shedding some welcome light on the situation.
Unsurprisingly, an in-flight Falcon 9 engine failure more than piqued the curiosities of high-profile SpaceX customers like NASA and the US Air Force (and Space Force), both of which have some of the company’s most important launches ever scheduled within the next few months. Most notably, NASA noted on March 25th that the space agency and SpaceX “are holding the current mid-to-late May [target for Crew Dragon’s inaugural astronaut launch] and [will] adjust the date based on review of the [engine failure] data, if appropriate.”
At time of comment, a few aspects of the unfortunate Starlink-5 engine failure were already positioned in SpaceX’s favor. Critically, it was the first time that a flight-proven Falcon 9 booster launched on its fifth orbital-class mission, meaning that the very same booster – B1048 – had already launched four times prior. In aerospace parlance, the mission thus served as a pathfinder for SpaceX’s reusable rocketry technology, venturing into new territory. Since it began internal Starlink launches, SpaceX has used those opportunities to take its most recent reusability leaps without risking customer payloads in the process.
At least for now, neither NASA or the USAF have plans to fly their most valuable payloads on flight-proven Falcon boosters. While that may change over the next several years, it means that SpaceX’s Starlink-5 anomaly and missions like Crew Dragon Demo-2 and GPS III SV03 – both set to fly on new boosters – share much less commonality. Of course, this assumes that B1048’s March 18th engine failure is directly related to the booster’s exceptionally flight-proven nature. Were SpaceX’s investigation to conclude that the fault had nothing to do with multi-launch wear and tear, it would likely ground Falcon 9 and Falcon Heavy indefinitely.
Instead, SpaceX – knowing full-well the potential consequences of two consecutive in-flight failures – has decided to attempt another orbital-class Starlink launch and booster landing less than a month after Starlink-5. To be clear, while SpaceX could choose to throw caution to the wind on an internal launch, it’s doubtful that it would haphazardly take such a substantial risk. Instead, Starlink-6’s April 16th launch date strongly suggests that SpaceX is already reasonably confident that it’s both determined the likely culprit of last month’s engine failure and identified ways to prevent its reoccurrence.
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
