News
SpaceX’s Raptor engine nears flight-readiness for BFR spaceship hop tests
In a presentation that revealed plans for a private mission to the Moon in as early as 2023, SpaceX CEO Elon Musk dedicated a couple minutes to BFR’s booster and spaceship rocket engine of choice, Raptor. Musk had nothing but praise for SpaceX’s propulsion engineers and technicians, stating that he was “really excited” about the propulsion system’s advanced design.
SpaceX has completed over 1,200 seconds of firing across 42 main Raptor engine tests. pic.twitter.com/EhxbPjd8Cj
— SpaceX (@SpaceX) September 29, 2017
Judging from a total of 1200 seconds of hot-fires completed just under a year ago, it’s safe to assume that Raptor has soared beyond that measure. Most recently, photos captured earlier this summer showed that a new prototype was installed on SpaceX’s horizontal Raptor test stand in McGregor, Texas, looking nearly identical to the deep black Raptor nozzle shown in Monday’s presentation. Previous Raptor prototypes seen during testing or at the test stand appeared to have a nozzle closer to SpaceX’s silver Merlin 1Ds, whereas this newest iteration’s nozzle doesn’t seem to reflect the powerful spotlights surrounding it.
Perhaps not a coincidence, SpaceX’s propulsion engineering lead Tom Mueller stated in May 2018 that flight-ready Raptors were already “in work”, with the implication being that the finalized Raptor design had been completed and that manufacturing work was beginning in earnest. Barring an unexpected shift in testing strategies, SpaceX will optimize and verify Raptor’s flight design over the course of several hundred seconds of static fire tests, eventually leading into the same practices used for Falcon 9.
-
- A September 2018 render of Starship (then BFS) shows one of the vehicle’s two hinged wings/fins/legs. (SpaceX)
-
- In 2018, Musk decided to sidestep vacuum engines entirely, moving to 7 SL Raptors. (SpaceX)
“This is a stupidly hard problem and SpaceX engineering has done a great job with this design.” In a May 2018 tweet, Musk added that “this engine is something special.” – Elon Musk, 09/17/18
Prior to being installed on any BFR prototypes, all Raptors will thus go through acceptance testing in Texas, potentially followed by a full-up static fire of the first completed BFR spaceships. Falcon 9 boosters – capable of roughly 7600 kN (1.7 million lbf) of thrust – are routinely tested in McGregor, while a full BFR spaceship with 2017-grade Raptors (1700 kN at sea level) would produce 12,000 kN (2.7 million lbf) of thrust with all Raptors firing. However, due to the sheer difficulty of transporting something 9 meters in diameter by road, it’s more likely that SpaceX will need to build up a dedicated static fire and hop test facility near the coast of Texas, at a spot called Boca Chica.
An immense liquid oxygen (LOX) tank just arrived at @SpaceX's prospective Boca Chica, TX facility, likely to be dedicated to BFR & BFS testing. @NASASpaceflight forum user "Nomadd" caught some of the first detailed photos, as well as the tank's arrival at SpaceX land on July 11. pic.twitter.com/hr7SeA6BGw
— Eric Ralph (@13ericralph31) July 12, 2018
Getting to hop tests
As it turns out, massive propellant storage tanks (vacuum insulated) have already begun arriving at SpaceX’s Boca Chica facilities, currently dedicated to a duo of tracking and communications radars to be used for Crew Dragon communications. Over the course of the next 12 or so months, SpaceX is thus likely to expand and develop its Boca Chica facilities, culminating – if all goes well – sometime late next year with the first shipment of a prototype BFR spaceship from Port of Los Angeles, through the Panama Canal, to Port of Brownsville, Texas.
“I’m really excited about this engine design, I think the SpaceX propulsion team has done an amazing job – the SpaceX structures and aero team has done a phenomenal job in the design of this.”
“Even others in the aerospace industry don’t know what question to ask – once we could frame the question [with precision], the answers [for Raptor and BFR R&D] flowed.” – Elon Musk, 09/17/18
SpaceX has already completed the first composite segment (both a section of the fuselage and of a propellant tank) of the first BFR spaceship prototype, and Musk further stated that BFR’s structural engineers and technicians would begin fabricating the spaceship prototype’s propellant tank domes and engine section “soon”. A vast amount of work remains to be completed before that prototype will begin to look anything like an actual spaceship, and the exact fidelity SpaceX is hoping to achieve with it is unclear.
If the company tries to get as close as possible to a finished product (within reason, of course) before beginning propulsive hop tests in Texas, a very late-2019 debut of that test campaign could be a practical goal. It’s not a perfect comparison, but Falcon 9 is perhaps the best prior example of SpaceX’s speed of development, moving from structural fabrication and testing (albeit with Falcon 5 in mind) in 2006 and 2007 to a full-up orbital launch of the first Falcon 9 in mid-2010, with milestones like the first static fire of a booster octaweb and nine Merlin 1C engines 6-12 months prior.
For prompt updates, on-the-ground perspectives, and unique glimpses of SpaceX’s rocket recovery fleet check out our brand new LaunchPad and LandingZone newsletters!
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
