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SpaceX’s Crew Dragon explosion investigation almost complete, says executive
Speaking at the 2019 AIAA Propulsion & Energy Forum, SpaceX Vice President of Build and Flight Reliability Hans Koenigsmann was significantly more confident that the company is just days or weeks away from wrapping up a serious Crew Dragon failure investigation.
On April 20th, flight-proven Crew Dragon capsule C201 experienced a catastrophic failure mode – largely a surprise to SpaceX – that completely destroyed the vehicle milliseconds prior to a planned static fire test. Given the obvious mortal danger such a failure would have posed to any crew aboard, SpaceX’s plans to conduct its first crewed Crew Dragon launch (Demo-2) in Q3 2019 were thrown out the window. Thankfully, Hans believes that SpaceX is just shy of concluding that investigation, “hopefully” permitting the launch of a critical abort test and Demo-2 before 2019 is out.
More specifically, Koenigsmann noted that SpaceX is currently planning to conduct a critical Crew Dragon in-flight abort (IFA) test in October or November, more or less in line with a recent report from NASASpaceflight.com that the test is targeted for November 11th, 2019. NASASpaceflight also confirmed that SpaceX still plans to fly Falcon 9 booster B1046.3 on the critical test flight, currently the only established plan to launch a thrice-flown booster, a potential first for SpaceX’s reusability program.
SpaceX’s IFA test is a continuation of the company’s suborbital Crew Dragon testing. Back in 2015, SpaceX successfully completed a pad abort test in which a low-fidelity Dragon mockup used its eight SuperDraco abort thrusters to replicate an escape from a rocket failure on the launch pad. SpaceX’s in-flight abort test will – like its namesake indicates – perform a similar test in flight, ensuring that Crew Dragon is able to safely escape from a failing Falcon 9 at Max Q, the point during launch where atmosphere-induced mechanical stress is at its peak.
In theory, demonstrating a successful pad and in-flight (Max Q) abort means that a given spacecraft is able to safely abort at all points during flight – from the pad all the way to orbit. It’s not clear if Crew Dragon is actually designed to be capable of what’s known as an “abort-to-orbit”, but the hardware is likely there if it’s needed.
On July 15th, Hans Koenigsmann and NASA Commercial Crew Program (CCP) manager Kathy Lueders went into significant detail with a preliminary Crew Dragon failure investigation update. They revealed that Crew Dragon’s April 20th explosion was traced to a likely mode, in which a “slug” of Dragon’s liquid oxidizer (nitrogen tetroxide, NTO) leaked and was subsequently smashed into a titanium valve by helium pressurized to several thousand PSI.
Said impact – effectively turning NTO into a bullet – thus created a spark in one or two ways: the titanium debris could have easily created sparks on its own, while NTO is also known to interact in violent and exotic ways with titanium under impact conditions. Either way, the fix is relatively simple (replace the valves and avoid titanium in the NTO pressurization system), but the fact that the design flaw existed in the first place serves as a much larger concern for the entirety of Crew Dragon’s joint SpaceX-NASA design and certification.
Ultimately, Hans seemed much more confident on August 19th than he was a month prior, indicating that the investigation is just shy of wrapping up. Once complete, SpaceX can complete the necessary modifications and get back on the saddle for Crew Dragon’s inaugural crewed launch and next abort test.
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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.
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
