News
SpaceX CEO Elon Musk shows off Starship’s 3 Raptor engines in best photos yet
SpaceX CEO Elon Musk has taken to Twitter to publish yet more photos of the company’s Starship Mk1 rocket prototype, this time posting what are – by far – the best official photos of Raptor engines yet taken.
This marks the first time that a SpaceX prototype of any kind has had more than one Raptor engine installed, a fairly symbolic but still significant milestone that follows in the footsteps of Starhopper’s successful single-engine flight test campaign. With Starhopper now heading into retirement, Starship Mk1 is preparing to support the program’s next major steps: full-scale, high-altitude flight tests powered by three Raptor engines.
The sight of three Raptor engines installed on the first true Starship prototype is undeniably hard to downplay. In barely seven months, SpaceX has gone from the very first static fire of a full-scale Raptor engine – serial number 01 – to flight-testing Raptor SN06 and producing enough engines to bestow Starship Mk1 with its own set of three engines. According to the latest comments from Elon Musk, Starship is meant to be powered by three ‘sea level’ Raptors and three vacuum-optimized Raptors – RVacs. RVac may or may not be ready to support the flight tests of early prototypes like Mk1 and Mk2, meaning that their three SL engines will likely be the sole propulsion for the time being.
Together, three SL Raptors operating at full thrust should be capable of producing up to 600 tons (1.3M lbf) of thrust. Per Musk’s note that Starship Mk1 likely weighs around 200 tons (~450,000 lb) empty, this means that a triple-engined Starship will be able to lift off with up to 400 tons (900,000 lb) of propellant, likely translating into roughly 200-300 seconds of untethered triple-engine operation.
“NOT FOR FLIGHT”
However, the engine installation milestone and subsequent photos are undeniably spectacular, but signs suggest that some level of pragmatism is in order. Visible in two of the three photos published by Musk, all three Raptors still have their transport rings installed just below each engine’s throat. Hardware at the base of one photo indicates that they were likely taken yesterday, on the evening of September 25th. Musk revealed that the three Raptors were installed late on September 22nd, up to three days prior.
Combined, the presence of the transport rings – “NOT FOR FLIGHT”, as their labels note – is a strong indicator that their installation is only temporary, likely in support of Elon Musk’s imminent September 28th Starship presentation. Without more information, it’s impossible to read much further into the temporary installation of Raptors. What it does confirm is that – for any number of reasons – flight-ready Raptors are not quite ready to support the Starship Mk1/Mk2. SpaceX has proven that Raptor is capable of supporting Starhopper for almost a full minute of powered flight, but behaviors observed near the end of that flight suggest that even that may have been pushing the engine’s limits.
All things considered, SpaceX is making progress at an almost unfathomable pace. Just seven months into full-scale Raptor test fires, it’s easy to believe that a lot of development work and refinement remains before the new engine family will be ready to reliably support multi-minute flight tests, let alone orbital launch attempts. Most orbital-class engine development programs aim for tens or even hundreds of thousands of seconds of test fires before attempting their first flights, but SpaceX is not most companies and is sticking closely to its preferred “test as you fly” methods and agile development strategies.
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
