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SpaceX’s high-altitude Starship launch debut unlikely before Crew-1
Update: SpaceX canceled its November 5th and 6th Starship SN8 static fire test windows on Thursday, delaying the next Starship test window to November 9th unless additional testing is scheduled on the 7th and 8th.
As previously discussed, SpaceX requested three road closures for “Starship SN8 Static Fire and 15KM Flight” attempts on November 9th, 10th, and 11th on Wednesday. With recent cancellations, NASASpaceflight reporter Michael Baylor says that the odds that Starship SN8 will be ready to fly before SpaceX’s Crew-1 operational NASA astronaut launch debut (NET November 14th) are now minuscule, further indicating that each of the three upcoming test windows will be dedicated to one or more Raptor static fires.
Stay tuned for updates as SpaceX continues to prepare Starship for its most ambitious, challenging, and risky test yet.
In the form of road closure filings, SpaceX has effectively announced the first possible dates for Starship’s high-altitude launch debut, a high-risk test that CEO Elon Musk recently made clear could fail.
Per road closures published on SpaceX’s dedicated Cameron County, Texas page, Starship serial number 8 (SN8) could apparently be ready for its historic launch debut as soon as November 9th in a 12-hour window that opens at 9am CST (15:00 UTC). Identical 9am-9pm windows on November 10th and 11th will serve as backups in the event of one or several launch aborts or delays – fairly likely for a prototype as complex as Starship SN8.
However, several tests stand between SN8 and flight-readiness, further increasing the odds of delays as SpaceX continues to work out the kinks in what amounts to the first fully-assembly, functional Starship.
Musk has already stated that Starship SN8 will need to complete another Raptor static fire test – potentially with one, two, or three engines – before SpaceX will consider the rocket ready for its flight debut. Over the last few days, NASASpaceflight.com reporter Michael Baylor has noted on livestreams that multiple more static fire tests are actually in order before SpaceX will attempt to launch Starship SN8. It’s currently unclear what the purpose of those additional static fire tests is, given that SN8 has already completed a triple-engine Raptor static fire.
In the two weeks since that milestone, however, SpaceX did take a major step forward, mating Starship SN8’s nose section to create what is effectively the first full-scale, functional prototype. Aside from two smaller forward flaps and attitude control system (ACS) cold gas thrusters, that nose section also contains a small secondary liquid oxygen tank known as a header tank – meant to store a small amount of highly pressurized propellant to be used during Raptor reentry and landing burns. Several months back, Musk revealed that Starship SN4 completed a static fire while only feeding on fuel (liquid methane) stored in the rocket’s methane header tank, making it reasonable to assume that SpaceX wants to repeat a similar test with SN8 while using both fuel and oxidizer header tanks.
For Starship SN8, those header tanks will be an irreplaceable necessity during the rocket’s first attempted launch, free-fall, flip maneuver, and landing. In a clear sign of preparation for a header-tank-only static fire test, SpaceX appeared to successfully complete a cryogenic proof of Starship SN8’s newly-installed nose section and nose (LOx) header tank on November 3rd, verifying that liquid nitrogen – standing in for LOx – can be pumped more than 50 meters (~165 ft) from Starship’s launch mount to the tip of its nose to load said tank.
SpaceX has one more “SN8 nose cone cryo proof” test window scheduled from 8am to 5pm CST Thursday, November 5th that could be used for one or more of those expected static fire tests. Otherwise, SpaceX’s Starship SN18 15 km (~50,000 ft) launch closures were technically filed for an “SN8 Static Fire and 15 KM Flight,” allowing SpaceX to perform one or several static fires before attempting to launch. All things considered, the odds that Starship SN8 will launch on time between November 9th and 11th are probably less than 50:50, but there is definitely a chance.
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
