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SpaceX’s first orbital Starship launch slips to March 2022 in NASA document
A NASA document discussing a group’s plans to document SpaceX’s first orbital-velocity Starship reentry appears to suggest that the next-generation rocket’s orbital launch debut has slipped several months into 2022.
In March 2021, CEO Elon Musk confirmed a report that SpaceX was working towards a target of July 2021 for Starship’s first orbital launch attempt. At the time, it seemed undeniably ambitious but far from impossible. Less than half a year prior, SpaceX had kicked off a series of suborbital Starship test flights to altitudes of 10-12.5 km (6.2-8 mi). Beginning in December 2020, SN8 – effectively the first structurally complete Starship prototype – nearly stuck a landing on its first try, only narrowly falling short due to an engine and pressurization issue.
Less than two months later, SpaceX completed and launched Starship SN9 – again with a nearly flawless six-minute flight capped off with an unsuccessful landing attempt. Starship SN10 followed less than a month later and became the first prototype to land in one piece – albeit only for a few minutes. It was two weeks after that near-success – SpaceX’s third launch in as many months – that Musk revealed a goal of July 2021 for Starship’s first orbital launch. At that point in time, it appeared all but inevitable that SpaceX would be technically ready for an orbital launch before the end of the year.
Two weeks after Musk’s comments and less than four weeks after SN10’s near-miss, Starship SN11 gave one of the worst performances yet, invisibly exploding inside a fogbank well above the ground. However, further stoking the fires of optimism, Starship SN15 debuted a number of upgrades and became the first prototype to successfully launch, land, and survive a ~10km test flight in early May. Put simply, SpaceX built five Starship prototypes practically from scratch in roughly eight months and then completed five test flights in less than five months – all of which were largely successful.
SpaceX considered reusing Starship SN15 or launching SN16 to gain more landing experience but ultimately decided to mothball the prototypes to avoid disrupting orbital launch site construction. Just three months after SN15’s successful landing, SpaceX rolled the first orbital-class Starship and Super Heavy to the orbital launch site and briefly stacked the pair (Ship 20 and Booster 4) to their full height, forming the tallest rocket ever assembled. Although largely a photo opportunity, SpaceX still installed a full 29 Raptors on Super Heavy B4 and six Raptors on Starship S20, further raising confidence that the company’s engine production was already up to the task of supplying the nearly three-dozen needed for a single orbital test flight.
However, for reasons that are less than clear, that August 6th full-stack milestone is about where SpaceX’s H1 2021 momentum appeared to run into a brick wall. Perhaps due to a desire to focus on orbital launch site construction even at the cost of avoiding road closures or testing that would require a clear pad, Starship S20 sat on a stand for the better part of two months before completing even a minor test – by far the longest any Starship prototype has waited.
Seemingly in the midst of its third round of Raptor engine removal, Super Heavy B4 has yet to attempt a single test and it’s unclear how close to ready the orbital pad is to support booster proof and static fire tests. Neither ship nor booster has attempted to static fire its Raptor engines, though S20 could potentially be ready for its first test as early as Monday, October 18th.
Combined with recent developments in the FAA’s Boca Chica environmental review process, the odds of SpaceX attempting the first orbital Starship launch by the end of 2021 have rapidly dropped from decent to near-zero. From a technical perspective, it seems likely that SpaceX could still be ready for an orbital launch attempt just a few months from now. From a regulatory perspective, though, it would be practically unprecedented for the FAA to complete a favorable environmental review and approve even a one-off orbital Starship launch license in ~10 weeks. Even the apparent March 2022 target revealed in a NASA poster focused on the agency’s plans to film an orbital Starship reentry via high-altitude jet assumes that the FAA’s review and licensing process will take ~7 months from August 2021 – still extremely optimistic.
Ultimately, after two months with next to no prototype testing, it’s beginning to look like SpaceX has decided to focus on finishing Starbase’s first orbital launch site, refining vehicle designs, and building new prototypes (B5, S21, S22) rather than pushing hard for rapid B4/S20 testing and an imminent launch attempt. As a result, it’s becoming increasingly unlikely that Booster 4 and Ship 20 will fly as new and improved prototypes like Super Heavy B5 and Starship S21 prepare to overtake them.
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
