News
SpaceX fires up Falcon 9 rocket for fifth Starlink launch in four weeks
SpaceX has static-fired a flight-proven Falcon 9 booster for what will be the company’s fifth Starlink launch in four weeks.
Set to be the company’s 28th operational launch of Starlink v1.0 satellites and 30th Starlink launch overall, the mission – known as Starlink L28 or Starlink-28 – is scheduled to launch no earlier than (NET) 2:59 pm EDT (18:59 UTC) on Wednesday, May 26th, less than 11 days after Starlink-26. The mission will be SpaceX’s fifth Starlink launch in 29 days and sixth launch in less than five weeks – not including Starship SN15’s successful suborbital launch and landing on May 5th.
As previously discussed on Teslarati, Starlink-28’s successful launch would leave SpaceX just two flights away from a truly remarkable feat of sustained launch cadence.
“If the weather, space station, and SpaceX’s rockets, spacecraft, and pad facilities cooperate, the completion of those three upcoming missions would mark eight successful Falcon 9 launches – carrying two Dragon spacecraft, four astronauts, and almost 300 satellites to orbit – in less than six weeks (41 days). If SpaceX manages that feat and averages one launch every five days, the company will have completed ~45% of its 2021 launches in ~26% of the year to date – a clear pattern of acceleration.”
Teslarati.com – 16 May 2021
Starlink-28 is set to reuse Falcon 9 B1063 after the booster debuted on SpaceX’s West Coast Vandenberg Air Force Base (VAFB) launch site. Some degree of processing was completed at the pad’s facilities before the once-flown rocket was shipped from California to Florida in March 2021. When B1063 arrived, it appeared to be missing several of its Merlin 1D engines, which helps to explain why SpaceX chose to perform an increasingly rare static fire test with a flight-proven booster.
The unusual six-month gap between B1063’s first and second flights can likely be explained by the fact that the booster was at one point expected to stay in California to launch another mission for NASA as early as July 2021. In February 2021, NASA announced that the Double Asteroid Redirect Test – DART – mission’s launch had been delayed by spacecraft issues to a secondary window beginning in late November, which is likely why B1063 headed to Florida a few weeks later.
According to comments made by SpaceX President and COO Gwynne Shotwell just last month, Starlink-28’s successful completion could leave the company with enough satellites for “full [global] connectivity.” Around a third of those Starlink satellites will still need to boost themselves into operational orbits before that (mostly) uninterrupted global coverage can be realized, but it will just be a matter of time once the spacecraft are already in orbit. True global coverage will require a number of dedicated polar launches, but those West Coast Starlink missions could begin as soon as this summer.
Following Starlink-28, SpaceX has two more launches scheduled within eight days of the mission – an SXM-8 radio satellite mission on June 1st and Cargo Dragon 2’s second space station resupply run on June 3rd. Beyond those three launches, SpaceX has at least two or three more missions nominally scheduled in June.
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.