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SpaceX set to deploy another large batch of internet satellites as Starlink constellation expands
For the third time in less than four weeks, SpaceX has announced a new 60-satellite Starlink mission, making it the second Starlink launch scheduled in the first month of the new year.
This mission will be the company’s fifth dedicated Starlink launch, referring to the fact that SpaceX is using all of the performance of Falcon 9 for its own internal purposes. Comprised of 60 flat-packed satellites, SpaceX completed its first dedicated Starlink launch – known as Starlink v0.9 – in May 2019, followed by the first launch of 60 finalized “Starlink v1.0” satellites on November 11th, a mission known as Starlink-1.
Barring delays, the next Starlink v1.0 launch – Starlink-2 – will be SpaceX’s 14th and final launch of the year and is scheduled to lift off no earlier than 11:40 pm ET, December 30th (03:40 UTC, Dec 31), a mission the company announced on November 24th. Barely two weeks later, SpaceX announced media accreditation for Starlink-3, scheduled to launch in January 2020.
Now, just ten days after announcing Starlink-3, SpaceX has announced plans for Starlink-4. Scheduled to launch no earlier than “late-January”, Starlink-4 is now the third Starlink mission SpaceX has announced in less than four weeks, all three of which are scheduled to launch within the next six weeks.
As previously discussed on Teslarati, the fact that SpaceX announced two Starlink missions in two weeks meshed well with the company’s goal of performing up to 24 dedicated Starlink launches in 2020.
“Barely two weeks after SpaceX opened media accreditation for Starlink-2, the second launch of finalized ‘v1.0’ satellites and third dedicated launch overall, the company has announced that that late-December mission will be followed by another Starlink launch in January 2020. This tracks almost exactly with SpaceX’s reported plans for as many as 24 dedicated Starlink launches in 2020, a feat that would singlehandedly break SpaceX’s current record of 21 launches performed in a single year.”
Eric Ralph — December 10th, 2019
With SpaceX’s December 19th’s Starlink-4 announcement, it’s now abundantly clear that the company is putting its money where its mouth is with respect to what might otherwise be perceived as a Muskian pie-in-the-sky target. CEO Elon Musk is (in)famous for his tendency to sketch out timelines that probably are theoretically possible but inevitably fall prey to the numerous challenges often faced during ambitious aerospace projects.
As of now, SpaceX took a bit less than six months to go from its first 60-satellite Starlink v0.9 launch to its first Starlink v1.0 launch (Starlink-1). If schedules hold, SpaceX’s second Starlink v1.0 launch – Starlink-2 – will lift off about six weeks after Starlink-1, while Starlink-3 could follow just 1-2 weeks later in January 2020.

This is all to say that SpaceX is perfectly setting itself up for an average of two Starlink launches per month next year, so long as it continues to announce new missions every 2-3 weeks. Even if SpaceX falls short of that ambition due to any number of technical hurdles that could pop up next year, 15 or 20 Starlink launches would give the company a Starlink constellation more than a thousand satellites strong.
In recent months, SpaceX has indicated that Starlink will need at least 24 dedicated launches – 1440 satellites – to achieve uninterrupted global coverage, while as few as six launches (300 satellites) could enable service for customers in the northern US and southern Canada.

SpaceX COO and President Gwynne Shotwell believes the company can begin serving customers as early as mid-2020, ultimately maturing into an experienced internet service provider (ISP) in 2021. With almost 120 satellites already in orbit, if SpaceX can manage an average of 1.5 to 2 Starlink launches per month in 2020, the broadband internet constellation will have near-global coverage before the start of 2021.
For now, it looks like the first few months of the next decade will be jam-packed with SpaceX Starlink launches, not to mention the customer launches the company intends to complete on top of its own internal manifest.
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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.