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SpaceX’s Falcon 9 sticks foggy booster recovery at California landing zone
Update: SpaceX has successfully wrapped up the Radarsat Constellation Mission, likely its last launch from Vandenberg Air Force Base for six to nine months. Supporting its second mission, Falcon 9 booster B1051 completed a flawless launch and landing, returning to SpaceX’s pad-adjacent LZ-4 landing zone after a gentle, (relatively) low-velocity reentry at ~1.6 km/s (3700 mph).
Sadly, the sun was unable to beat back Vandenberg’s iconic fog layer and it’s unlikely that remote cameras (even including SpaceX’s own on-pad webcast cameras) captured anything more than gray fog. According to Teslarati’s photographers, the sonic booms produced by the returning Falcon 9 booster were as spectacular as ever, though.
Despite more than seven months of delays, the Canadian Space Agency (CSA) can finally rest now that all three Radarsat Constellation spacecraft are safely in orbit, completing what is arguably the most arduous leg of most spacecraft journeys. Valued at more than $1 billion, SpaceX has also successfully launched its most expensive payload by a large margin, adding to Falcon 9’s increasingly impressive record of reliability.
SpaceX is just hours away from its sixth Falcon 9 launch of 2019, likely the company’s last Vandenberg Air Force Base (VAFB) mission for the rest of the year (and possibly longer).
Flight proven Falcon 9 booster B1051.1 has been assigned to the launch and will attempt to return to SpaceX’s LZ-4 landing zone after sending Canada’s Radarsat Constellation Mission (RCM) on its way to orbit. Likely weighing approximately 5000 kg (11,000 lb), RCM is comprised of a trio of Earth observation spacecraft with large surface-scanning radars as their primary payloads. At a cost of more than $1 billion, RCM will be the most expensive payload SpaceX has ever attempted to launch. Falcon 9 has a 13-minute window for launch but liftoff is scheduled to occur at 7:17 am PDT (14:17 UTC) on Wednesday, June 12th.
As it stands, Falcon 9’s RCM launch will last just over one hour from start to finish. B1051 will separate from Falcon 9’s upper stage, fairing, and payload and perform a return-to-launch-site (RTLS) recovery, landing at SpaceX’s LZ-4 pad less than eight minutes after liftoff.
LZ-4 sits barely a quarter of a mile away from SLC-4E, the SpaceX-leased pad that B1051.1 will lift off from. Sadly, B1051 is unlikely to remain at SLC-4 after its (hopefully successful) landing at LZ-4 due to the fact that SpaceX has no public missions scheduled to launch from VAFB until Q1 2020 at the earliest. In fact, SpaceX is reportedly planning major organizational changes – set to begin soon after this launch is complete. As such, RCM could be SpaceX’s last launch from California for at least the next six months, a period of downtime that could easily grow to a year or more if tenuous 2020 launch dates suffer payload-side delays.
SpaceX currently has three launches scheduled from its Vandenberg pad in 2020, although one, two, or even all three could easily slip into 2021 based on the limited information available about the payloads in question. In 2021, SpaceX has a fairly busy VAFB manifest of at least six possible launches – possibly more if 2020 missions slip.
Regardless, RCM will be a good temporary send-off to SpaceX’s launch activity in California. Press photographers – unaffiliated with SpaceX – will have the first opportunity ever to remotely capture images of a Falcon 9 booster landing in daylight. Additionally, weather permitting, Vandenberg Air Force Base makes for an exceptionally beautiful venue for rocket launches thanks to the vistas and setting offered by Northern California and the Pacific Ocean.
Current forecasts suggest that the traditional fog layer will begin to clear at 7am local time, around the same time that SpaceX’s RCM webcast will kick off. With any luck, the photographers’ remote cameras will be greeted by a clear Pacific morning come liftoff.
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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
