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SpaceX VP says Starlink is almost ready to revolutionize in-flight internet
Speaking on a panel at an aviation conference, a senior SpaceX sales executive says that the company is in talks with “several…airlines” to provide in-flight internet to passengers with its Starlink satellite constellation.
Unlike all current in-flight connectivity (IFC) providers, which rely on a handful of satellites in geostationary orbits ~36,000 km (~22,500 mi) above the Earth, SpaceX’s Starlink constellation is currently made up of ~1600 spacecraft just 550 km (340 mi) up – known as low Earth orbit (LEO). Aside from guaranteeing that any uncontrolled spacecraft or debris reenter in just a few years instead of millennia, Starlink’s home in LEO also means that the network can offer far superior latency (also known as ping).
Being more than 50 times closer to the Earth’s surface also makes it much easier for SpaceX to deliver far more bandwidth to a single vehicle. In simple terms, once the Starlink network is decently reliable and its aviation-optimized ‘conformal’ antennas have been refined, qualified, and certified by the FCC and FAA, conditions could quickly become very uncomfortable for incumbents like Gogo and Viasat.
Perhaps not so coincidentally, Gogo’s stock price dropped more than 11% after The Verge’s Joey Roulette first reported on SpaceX’s IFC comments. Closing in on annual revenue close to $1B before the coronavirus pandemic took a sledgehammer to commercial airline travel, Gogo has dominated the western in-flight internet market for about as long as it’s existed. Unfortunately, COVID-19 has not been kind to the IFC industry and Gogo sold off its in-flight internet business to Intelsat – ironically in the midst of bankruptcy proceedings – in late 2020.
For the handful of ailing IFC providers responsible for most in-flight internet services, the arrival of a new competitor – let alone one as promising as Starlink – could scarcely be less welcome. Starlink competitor OneWeb also plans to offer IFC services as early as mid-2022 but the company has been so slow to deploy its already small ~650-satellite constellation that it’s unclear when it will actually be ready to support a significant presence in satellite internet markets.
Starlink, on the other hand, already has more than a thousand operational satellites in orbit, tens of thousands of fixed beta customers actively using the network, and multiple demonstrations of in-flight operations already complete. Notably, while testing just 60 Starlink v0.9 satellite prototypes, SpaceX successfully delivered bandwidth of more than 600 Mbps to a single military aircraft in flight. In comparison, the most cutting-edge Gogo terminal currently promises “speeds of 70+ Mbps” – an order of magnitude less bandwidth saddled with massive latency constraints.
With Starlink’s performance, hundreds of passengers on a single plane could simultaneously stream videos, whereas modern IFC almost invariably prevents even a single paying passenger from streaming video of any kind. Additionally, thanks to the network’s far lower latency, aircraft with Starlink WiFi could feasibly allow passengers to teleconference, make video calls, and even play latency-sensitive multiplayer games while in flight (though whether passengers should be allowed to do so is, of course, a different story).
It remains to be seen when SpaceX might be ready (and certified) to begin connecting commercial airlines to its Starlink network. However, the company has been working on “aeronautical terminals” for more than 16 months and has the distinct benefit of controlling all aspects of its vertically integrated constellation – which is to say that Starlink could be ready for IFC markets far sooner than later.
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
