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SpaceX rideshare launch aborted by rare range violation

SpaceX's Transporter-2 rideshare launch was aborted just 11 seconds before liftoff by a wayward plane. (SpaceX)

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Update: In what has become an extremely rare occurrence, a SpaceX Falcon 9 launch was aborted less than a minute before liftoff by a “fouled range.”

Translated, that means that a vehicle or pedestrian of some kind failed to heed strict warnings and entered Cape Canaveral’s launch ‘range’ during a live launch attempt. According to SpaceX’s webcast host, the culprit may have been an aircraft that strayed inside temporarily restricted airspace. Over the last few years, range violations have become rarer and rarer as the East Coast US military wing responsible for managing it, the systems responsible for disseminating ‘keep-out zones,’ and general public awareness have gradually improved.

As SpaceX CEO Elon Musk noted shortly after the rare Falcon 9 launch abort, the keep-out zone figuratively erected before US rocket launches is large, covering hundreds of square miles to hedge against the possibility of an in-flight rocket failure or explosion. Despite SpaceX’s innovative cheerleading of an autonomous flight termination system (AFTS) that would terminate a Falcon rocket the second it departed a much smaller corridor, safety regulations and range management have yet to respond in a significant way. According to Musk, if that status quo remains in place without major reform, “there is simply no way humanity can become a spacefaring civilization.”

Orbit details shared by SpaceX suggest that the company’s second dedicated Smallsat Rideshare launch – known as Transporter-2 – will also carry a second batch of polar Starlink satellites.

SpaceX launched the first batch of ten polar Starlink satellites in January 2021 as part of Transporter-1, co-manifesting them alongside a record-breaking 133 other spacecraft for a variety of companies and institutions. The mission was ultimately a major success, breaking records and demonstrating that SpaceX is serious about its Smallsat Program. Much like company executives promised in 2019 and 2020, SpaceX really does appear to have firm plans for semi-regular rideshare missions that will give customers two or more launch windows per year.

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Now scheduled to launch no earlier than 2:56 pm EDT (16:56 EDT) on Tuesday, June 29th, Transporter-2 is the second in a series of Falcon 9 rideshare launches currently scheduled every six months or less over the next several years.

While Transporter-2 wont beat the unprecedented number of satellites launched on on Transporter-1, SpaceX says it will still “launch 88 spacecraft to orbit” and – more importantly – carry more customer mass. In other words, Transporter-2 will carry roughly 50% fewer satellites, each of which will weigh substantially more on average.

Ordering directly through SpaceX, Smallsat Rideshare Program begins at $1 million for up to 200 kg (~440 lb) to Sun Synchronous Orbit (SSO; around 500 km or 300 mi). A majority of small satellites weigh significantly less than 200 kilograms but if a customer manages to use all of their allotment, the total cost of a SpaceX rideshare launch could be as low as $5000 per kilogram – incredibly cheap relative to almost any other option. For a dedicated launch to SSO on a Rocket Lab Electron or Astra Rocket 3.0 rocket using every last gram of available performance, the same customer would end up paying a minimum of $25,000 to $37,500 per kilogram to orbit.

Befitting the premium price tag, a dedicated launch on one of a growing number of small orbital-class rockets does carry benefits like direct orbit insertion, specialized payload handling, and more schedule control. A rideshare with dozens of other satellites is more akin to taking a bus, delivering the lowest prices possible at the cost of strict departure times and a one-size-fits-all approach to drop-offs.

An artist rendering of Transporter-2 payload deployment. (Exolaunch)

Given that SpaceX’s Transporter program is on track to orbit more than twice as many satellites in six months as Rocket Lab’s small Electron rocket has launched on 17 successful missions spread over more than three years, it’s safe to say that a large portion of prospective smallsat owners and builders have concluded that the cost savings provided by rideshares far outweigh the inconvenience.

Beyond Transporter-2, SpaceX is already working to launch Transporter-3 in December 2021, Transporter-4 as soon as March 2022, Transporter-5 in June 2022, Transporter-6 in October 2022, and at least three other dedicated rideshare launches tentatively scheduled in 2023.

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Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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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.

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Credit: Grok Imagine

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. 

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“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.”

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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.

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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.

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Credit: xAI/X

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.”

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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. 

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Elon Musk’s xAI closes upsized $20B Series E funding round

xAI announced the investment round in a post on its official website. 

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Credit: xAI

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.”

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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. 

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