News
SpaceX could still break NASA Shuttle reuse record after launch delay
Despite a minor launch delay, a SpaceX Falcon 9 rocket still has a shot a breaking a NASA Space Shuttle reuse world record that has lasted for more than three decades.
On July 13th, roughly one day prior to a planned liftoff on July 14th, SpaceX announced that it had decided to delay a Falcon 9 launch of South Korea’s ANASIS II military communications satellite. Citing a need to “take a closer look at the second stage” and “swap hardware if needed,” the delay was effectively indefinite, as replacing hardware would be a multi-day process at best. CEO Elon Musk later took to Twitter to comment on two recent Falcon 9 launch delays, noting that SpaceX is “being extra paranoid” to ensure that “maximizing [the] probability of [a] successful launch” is the company’s first priority.
It’s unclear whether these delays are the result of SpaceX being more paranoid than usual (i.e. stricter internal requirements) or what exactly that change stems from. Regardless, as of July 16th, SpaceX hasn’t officially announced an updated launch target for ANASIS II, but signs are pointing to a second launch attempt late this weekend.
New Launch Hazard Area maps used to delineate dangerous areas for those at sea show that SpaceX could be heading towards a second ANASIS II launch attempt no earlier than ~5pm EDT (~21:00 UTC) on Sunday, July 19th. As previously discussed on Teslarati, the flight-proven Falcon 9 booster SpaceX has assigned to the launch has a shot at breaking a world record for orbital-class rocket reuse held by NASA for almost 35 years.
“In October 1985, Space Shuttle Atlantis lifted off from Pad 39A on its inaugural orbital launch, spending four days in space before returning to Earth at Edwards Air Force Base. Just 54 days later, the very same Space Shuttle orbiter lifted off from Pad 39A again, setting a record for orbital-class launch vehicle turnaround that still stands today.
Almost 35 years later, a SpaceX Falcon 9 rocket is on the cusp of BREAKING Space Shuttle Atlantis’ record turnaround by as many as nine days (20%) if booster B1058 launches as planned between 5pm and 9pm EDT (21:00-01:00 UTC) on July 14th. By far the most impressive aspect of Falcon 9’s imminent record is the comparison between the resources behind Space Shuttle Atlantis’ 54-day turnaround and Falcon 9 booster B1058’s ~44-day turnaround. Some 5000-10000 full-time employees were tasked with refurbishing Space Shuttles and the facilities (and launch pads) that supported them, a vast infrastructure that made the average Space Shuttle launch (accounting for the vast infrastructure behind the scenes) ultimately cost more than $1.5 billion per launch – more than the Saturn V rocket the Shuttle theoretically replaced.
According to a May 2020 AviationWeek interview with SpaceX CEO Elon Musk, Falcon 9 booster turnaround may cost as little as $1 million apiece and can be managed from start to finish by a team of just several dozen. In other words, even though SpaceX boosters are suborbital and stressed quite a bit less than orbital Space Shuttles, Falcon 9 reuse is approximately a thousandfold more efficient that Space Shuttle reuse.”
Teslarati.com — July 12th, 2020
Of course, a potential five-day launch delay means that Falcon 9 B1058’s margin on the orbital-class reusability record has more than halved to 8% from ~20% (50 days to Atlantis’ 54). As of now, ANASIS II can slip another 3-4 days before the mission’s shot at that record slips away completely. Of course, given the vast chasm of difference between the efficiency of Falcon 9 and Space Shuttle reuse, breaking NASA’s turnaround record is far more symbolic than evidence of any material progress. Still, it does serve as an important milestone for SpaceX along the path to the mythical goal of 24-hour booster turnaround.
SpaceX’s tenth Starlink satellite launch was also recently delayed and appears to be swapping launch order with ANASIS II. It’s unclear what caused the Starlink delay or if it was related to ANASIS II, but Starlink-9 could feasibly launch at any point within the next week or two, including within just a few days of ANASIS II. Stay tuned for status updates.
Check out Teslarati’s Marketplace! We offer Tesla accessories, including for the Tesla Cybertruck and Tesla Model 3.
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
