News
SpaceX’s Starlink internet a step closer to customers as “user terminal” hiring ramps up
As SpaceX prepares to kick off an aggressive Starlink launch campaign in the next month or two, the company is also aggressively hiring build teams that will engineer and mass-produce crucial ground-based hardware, ranging from ground stations and mobile applications to the “user terminals” that will go in customer homes.
The proposed Starlink satellite internet constellation will be comprised of up to 12,000 satellites in low Earth orbit (LEO) and is designed to provide low latency high-speed broadband internet service the world over. Company CEO Elon Musk has previously discussed that a major focus of the constellation would be to provide reliable and fast internet service to rural and remote locations where existing service may be far too expensive or unreliable.
Over the last 6-12 months, an array of job listings have advertised well over a hundred new positions related to Starlink, with a recent trend towards prioritization of user terminal production at SpaceX’s Hawthorne, CA headquarters. SpaceX is also looking to expand its software development workforce to mature the software needed for user terminals and create a range of other customer-facing products, including a “Starlink Mobile” app for both Android and iOS devices.
Similar to current satellite TV and internet solutions, SpaceX’s Starlink internet service will require ground-based receivers – “user terminals” – at their location of use. By all appearances, SpaceX may also have plans to integrate a WiFi router directly into the terminal to make the user experience as seamless as possible, but it’s just as likely that SpaceX will simply include ports for users to connect their own routers. Musk has previously stated that the user terminals will use phased arrays antennas that will allow them to stay motionless on the ground while electronically ‘steering’ to ensure the best possible satellite connection.
The user terminals will be the connect-all hardware point that will “sit in (Starlink) customers’ homes” to “bridge the gap between OS software, flight software, antenna software, and modem software.” Presumably, the User Terminals will be far more advanced than current access modems and will also encompass a router that would allow satellite wifi service throughout the area of access. Past statements indicate that SpaceX intends for the terminals to be roughly the size of a small pizza box.
In line with user terminal planning, SpaceX has also begun hiring developers for a Starlink Mobile application. This will enable customers to enjoy “a seamless experience managing their accounts and internet access”, presumably offering something akin to the experience that current Tesla customers have with Tesla’s mobile apps.
The current Tesla app is a comprehensive experience that allows user monitoring and customization of every aspect of their Tesla products inclusing vehicles and Powerwall energy systems. The experience guides the user from set-up to everyday use of their various Tesla products.
From the senior software engineer job listing, it can be assumed that the Starlink Mobile app will be comparable to the Tesla app. The advertised position will “bring to life the mobile portal into Starlink.” It’s very likely that the Starlink Mobile app will allow the user to monitor device connections, download and upload speeds, and other customer-specific experiences such as account access and billing. The app will be built completely in-house and from the ground up to ensure that it is specified and tailored to meet the various requirements of a comprehensive and quality customer experience.
SpaceX is expected to ramp up the development and manufacturing of all Starlink supportive ground systems within the coming weeks and months. The advertised positions are all located in California – the software development and manufacturing of User Terminal Teams based in Hawthorne while the mobile application software engineer position is located in Los Angeles.
According to President and COO Gwynne Shotwell, SpaceX aspires to launch 2-4 more missions in 2019 and as many as 24 dedicated Starlink missions in 2020 alone, roughly translating to a Starlink launch ever two weeks. Customer launches would occur in the interim and SpaceX has made it clear that customers will come first, with Starlink missions then filling in the gaps left in SpaceX’s commercial manifest.
SpaceX ultimately believes that it can begin serving customers after as few as 6-8 launches with 60 Starlink satellites apiece, while initial global coverage will require 24 launches. Beyond those milestones, more launches (involving anywhere from 10,000 to 40,000+ additional satellites) would simply add bandwidth and allow SpaceX to expand its customer base and distribute additional capacity based on demand.
SpaceX’s next two Starlink missions are scheduled to launch no earlier than mid-November and December 2019.
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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
