SpaceX’s newest drone ship is on its way out into the Atlantic Ocean for a Starlink mission that will break the company’s record for annual launch cadence.
Somewhat confusing known as Starlink Shell 4 Launch 3 or Starlink 4-3, the batch of 53 laser-linked V1.5 satellites is scheduled to fly before Starlink 4-2 for unknown reasons and at the same time as Starlink 2-3 is scheduled to fly before Starlink 2-2 on the West Coast. Regardless of the seemingly unstable launch order, perhaps related to the recent introduction of Starlink’s new V1.5 satellite design, drone ship A Shortfall of Gravitas’ (ASOG) November 27th Port Canaveral confirms that SpaceX is more or less on track to launch Starlink 4-3 no earlier than (NET) 6:20 pm EST (23:20 UTC) on Wednesday, December 1st.
In a bit of a return to stride after launching 20 times in the first six months but only three times in the entire third quarter of 2021, Starlink 4-3 is currently the first of four or even five SpaceX launches scheduled in the last month of the year. Nevertheless, if Starlink 4-3 is successful, it will also set SpaceX up to cross a milestone unprecedented in the history of satellite launches.
Specifically, Starlink 4-3 is SpaceX’s 16th dedicated Starlink launch of 2021 and will mark 951 Starlink satellites safely delivered to orbit since January 20th. If, as CEO Elon Musk has telegraphed is the plan, SpaceX intends to complete one more dedicated Starlink launch in December (either Starlink 2-2 or 2-3), the company could round out 2021 having launched more than a thousand satellites in a single year.
Thanks to Starlink, 2020 was the first year in history in which more than a thousand satellites (technically 1283) were launched into orbit. Now, in 2021, there’s a good chance that SpaceX Starlink launches alone will account for more than a thousand satellites launched in one year. Altogether, SpaceX will likely end the year having singlehandedly launched a total of more than 1240 satellites in 2021 – and despite only completing 3-4 Starlink launches in the last seven months of the year compared to 13 in the first five months.
For SpaceX and Starlink, that’s great news. In March and November 2018, the FCC approved two SpaceX applications to launch and operate constellations of ~4400 and ~7500 Starlink satellites – a total of around 11,900 satellites. To avoid having its licenses revoked, SpaceX – like all other FCC constellation applicants – is required to launch half of its licensed constellation within six years of its license receipts and full constellation within nine years. For SpaceX, that means it has to launch at least ~2200 satellites operating around 550 km (340 mi) and ~3750 satellites operating around 350 km (~220 mi) by March and November 2024, respectively.
With a bit less than 1700 Starlink satellites currently functioning in orbit, even if SpaceX merely repeats its 2021 cadence, it will be on track to outright finish Starlink’s first 4400-satellite phase by mid-2024 and should easily cross the halfway mark by mid-2022 – years ahead of schedule for both. However, simultaneously hitting Starlink’s very low Earth orbit (VLEO) deployment milestones will still be a massive challenge. Given that SpaceX has yet to launch a single VLEO Starlink spacecraft three years after license approval, it now has less than three years to launch ~3750 VLEO satellites on top of at least 500 more LEO satellites.
If SpaceX can replicate its H1 2021 Starlink launch cadence throughout 2022, completing at least 26 launches in 52 weeks, it may actually have a shot at pulling off a cadence close to what is needed to meet its FCC deployment requirements (an average of 1400 satellites per year for the next three years). If SpaceX simply aims for the average annual numbers needed to complete the full ~11,900-satellite Starlink constellation by November 2027, it will need to launch around 1800-2000 satellites per year – equivalent to 35-40 Falcon 9 rockets.
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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
