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SpaceX just surpassed ULA to snag an American launch record (and landed a rocket)
SpaceX has successfully completed its 84th Falcon 9 rocket launch (and 52nd booster landing), surpassing the United Launch Alliance’s Atlas V to snag a long-standing American launch record.
At 3:30 pm EDT (19:30 UTC), Falcon 9 lifted off right on time after a seven-day delay and rare one-day slip forward. The 6th Starlink v1.0 mission and 7th Starlink launch overall, Falcon 9 successfully placed another batch of 60 satellites in orbit just 35 days after an almost identical booster suffered SpaceX’s first in-flight engine failure in more than eight years. Thankfully, SpaceX says that it already determined what went wrong on March 18th and the successful launch on April 22nd certainly goes a long way towards confirming its conclusions.
Like all Starlink v1.0 launches, a flight-proven Falcon 9 booster (B1051’s fourth flight) and a new upper stage worked together to send some 16 metric tons (~35,000 lb) of Starlink satellites into a very low Earth orbit (VLEO). Booster B1051 performed exactly as expected on its fourth orbital-class launch, burning for about 2.5 minutes before separating and allowing an expendable Falcon 9 upper stage to continue to orbit with its Starlink payload. About six minutes later, after a successful reentry burn and landing burn, the rocket gently touched down on drone ship Of Course I Still Love You (OCISLY). Seconds later, the upper stage shut down after safely placing 60 Starlink satellites in the correct orbit.
Another six minutes later, the same upper stage successfully deployed all 60 Starlink satellites, allowing them to slowly spread out on there own – a bit like a giant deck of cards with the weight of a small tank.
Aside from serving as an extremely reassuring return-to-flight and return-to-landing for Falcon 9 after an in-flight engine failure and two back-to-back booster landing failures, the successful launch also means that Falcon 9 now holds a significant US rocketry record. In essence, SpaceX’s workhorse rocket is now the most prolific US launch vehicle currently operating, surpassing the United Launch Alliance’s Atlas V. Since August 2002, the ULA rocket has completed 83 (mostly) successful launches.
Debuting more than eight years after Atlas V, Falcon 9 passed the 83 launch mark on March 18th and has now successfully crested 84 launches with its April 22nd Starlink-6 mission. In other words, despite operating less than half as long as Atlas V, Falcon 9 has already completed more launches than the ULA workhorse rocket, averaging one launch every 1.3 months compared to Atlas V’s 2.7 months. While SpaceX’s latest Falcon 9 v1.2 rocket variant has only launched 62 of its 84 missions since it debuted in 2015, it’s still considered slightly more reliable than the famously reliable Atlas V.
In short, SpaceX’s Falcon 9 rocket continues to prove itself to be exceptionally capable and reliable, while also managing to rapidly become one of the most-launched US rockets ever. Given that SpaceX is set on continuously and aggressively increasing the rocket’s launch cadence, Falcon 9 may be just a few years away from becoming the most-launched modern US rocket ever – a title currently held by Delta II (retired in 2018).
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
