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SpaceX Texas test HQ fires up a dozen Falcon, Starship rocket engines in six hours
Though it often falls under the radar relative to SpaceX’s high-profile Boca Chica Starship hub, another even more important Texas outpost appears to be busier than ever testing the rocket engines and boosters instrumental to all SpaceX operations.
Famous for occasionally supporting half a dozen or more rocket tests on busy days, SpaceX’s McGregor, Texas facilities showed off exactly that kind of rapid-fire activity on Friday, March 19th, flexing the sheer variety and volume of rocket hardware liable to pass through its gates.
Located on the grounds of a former US military explosives factory, SpaceX’s McGregor, Texas rocket development and test facilities have been testing Falcon, Dragon, and Starship parts and supporting each program’s development for a decade and a half. After being fabricated and assembled in Hawthorne, California, virtually every single active propulsive component SpaceX has ever flown has spent some amount of time in McGregor.
For boosters, every cold gas maneuvering thruster is qualified in Texas before being sent back to Hawthorne for final installation. Each stage’s nine Merlin 1D engines are individually tested in McGregor, shipped back to Hawthorne, installed on a booster, shipped back to McGregor, and static fired as an integrated first stage before SpaceX deems a Falcon 9 or Falcon Heavy core ready for flight. The exact same process (separate engines and thruster qualification followed by integrated vehicle testing) is performed with Falcon upper stages and their Merlin Vacuum engines, as well as all Dragon spacecraft and their Draco (and SuperDraco) thrusters. The same is true for the two Raptor engine variants and cold-gas thrusters that power Starship.
On March 19th, nearly all of those different engines and vehicles – and the separate stands used to test each of them – came together for an exceptionally busy day at McGregor. According to local resident Reagan (@bluemoondance74), who lives within earshot of SpaceX’s extraordinarily busy rocket testing HQ, at least five unique tests were performed in just six hours – all but one of which was squeezed into the last ~125 minutes.
Around 2:40 pm, an unknown test – possibly a Merlin Vacuum (MVac) or Merlin 1D (M1D) engine – kicked off the salvo. Four hours later, SpaceX completed arguably the most significant test of the day, firing up the first Falcon Heavy center core to head to McGregor in almost 24 months. Assuming that static fire was a success, the booster will be inspected, have its tanks cleaned, and be shipped to Florida to complete the first stage of SpaceX’s fourth Falcon Heavy rocket for a launch as early as July.
An hour and a half after the Falcon Heavy center core’s static fire, SpaceX fired up a Raptor engine (either a sea level or vacuum variant), followed by another likely M1D or MVac test just minutes later. Finally, at 8:52 pm, SpaceX ignited a second Raptor engine at an entirely separate vertical test stand (known as the tripod stand) recently modified to support testing Starship engines in a more flight-like configuration. Altogether, assuming no repeated tests, SpaceX effectively tested a booster and 13 (9+4) rocket engines in a little over six hours.
More likely than not, one or both of those Raptors will soon find themselves on a Starship or Super Heavy prototype in Boca Chica. The M1D and/or MVac engines will assuredly find a place on a future Falcon booster or upper stage. The Falcon Heavy center core (B1065 or B1066) is scheduled to launch as early as July 2021 and will be the first of its kind to fly in an intentionally expendable configuration. Another Falcon Heavy center core – possibly B1067 – will likely also find itself in McGregor within the next few months for the rocket’s fifth launch, scheduled no earlier than (NET) October 2021.
All told, SpaceX’s McGregor rocket testing HQ is about as busy as – if not busier than – it’s ever been as the company works towards an unprecedentedly ambitious 48-launch 2021 manifest, builds and flies at least four Dragon spacecraft, and pursues an even more ambitious effort to begin orbital Starship launches this summer. Quieted away in rural Texas, McGregor may largely go unnoticed but its infrastructure remains as integral as ever for virtually every single SpaceX project – past, present, and future.
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
