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SpaceX says Crew Dragon parachute upgrade nailed more than a dozen tests in a row

SpaceX says it has successfully completed 13 consecutive tests of Crew Dragon's upgraded 'Mk3' parachutes in the last several weeks. (SpaceX)

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According to SpaceX, Crew Dragon’s upgraded ‘Mk3’ parachutes have successfully completed more than a dozen tests in a row, a feat accomplished by SpaceX engineers and technicians in a single week.

Although SpaceX will likely continue to test the upgraded parachutes over the next several weeks and months, Mk3’s success up to now – including a demonstration of an emergency landing scenario – likely means that the company is well on track for NASA to certify Crew Dragon for its first astronaut launch.

Known as Demo-2, SpaceX’s first crewed demonstration mission is tentatively scheduled to launch no earlier than the first quarter of 2020 and is almost entirely dependent upon NASA (and SpaceX, to a lesser extent) completing review and qualification paperwork. On October 8th, SpaceX CEO Elon Musk indicated that SpaceX itself – including all Crew Dragon and Falcon 9 hardware – would likely be ready to launch before the end of December 2019.

During an October 30th briefing from Commercial Crew Program manager Kathy Lueders, NASA essentially confirmed Musk’s estimate for Crew Dragon hardware readiness, estimating that the Crew Dragon Demo-2 spacecraft will be ready for flight around the end of December. The mission’s Falcon 9 booster has also completed testing in Texas, while SpaceX plans to ship the Falcon 9 upper stage to Texas for acceptance testing in November.

In recent months, NASA has indicated that the parachute systems of both Boeing’s Starliner and SpaceX’s Crew Dragon were a prominent concern after chute failures occurred on several occasions. In response, SpaceX redesigned Crew Dragon’s parachutes – supplied by Airborne Systems – to account for the failure modes experience, while also advancing the state of the art of computer modeling of parachute deployment and behavior.

In response to past failures, SpaceX chose to further upgrade and strengthen Crew Dragon’s parachutes, moving to a ‘Mk3’ variant with stronger Zylon risers (strips connecting Dragon to its parachute rigging), among other tweaks. Notably, in an October 2019 press conference with Musk, NASA administrator Jim Bridenstine noted that SpaceX had plans to field and test those Mk3 parachutes at least 10 times before the end of 2019.

“We could see as many as 10 drop tests between now and the end of the year and depending on how the next 10 drop tests go, we will know how many more drops tests we are going to add.”

Jim Bridenstine, October 10th, 2019

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In fact, during the latest stage of testing, SpaceX says it successfully completed thirteen consecutive tests of Crew Dragon’s new Mk3 parachutes, all of which were completed in less than two weeks. This essentially blows Bridenstine’s expectations out of the water, as SpaceX has surpassed his predicted 10 tests and done so barely three weeks into the tentative 12-week window he set. SpaceX now has plenty of time to either continue testing Crew Dragon’s parachutes or refocus its efforts on other equally important qualification challenges.

Prior to those thirteen consecutive successes, SpaceX suffered two failures during single-parachute Mk3 testing. The first two development tests of the Mk 3 design used loads much higher than the parachutes would ever see in operation in an effort to better understand overall design margins and system performance. After a period of rapid iteration with parachute provider Airborne Systems, the faults responsible for those two stress-test failures were resolved and subsequent drop tests confirmed that Mk3’s suspension lines – the numerous lines connecting the parachute to Crew Dragon – are far stronger than those on Mk2.

Perhaps most crucially, the most recent test – shown in the video shared by SpaceX on November 3rd – was the first multi-chute Mk3 demonstration and simultaneously proved that Crew Dragon will be able to safely land its astronaut passengers even if one of the spacecraft’s four parachutes fail to deploy. Despite those consecutive successes, SpaceX and Airborne will continue testing Mk3 parachutes as rapidly as possible and aim to provide NASA the data it needs to qualify Crew Dragon’s parachutes for crewed flight before the end of 2019.

Either way, the next several months are set to be a frenetic period for NASA’s Commercial Crew Program. As early as November 4th, Boeing aims to attempt a pad abort test of its Starliner spacecraft, while SpaceX is set to static fire a Crew Dragon capsule on November 6th. If both tests are successful, SpaceX aims to launch Crew Dragon’s In-Flight Abort (IFA) test in early-December, while Boeing hopes to launch Starliner on its first uncrewed Orbital Flight Test (OFT) no earlier than December 17th.

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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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