News
SpaceX Starship aborts Raptor engine test, briefly catches fire
Update: On March 15th, SpaceX got within milliseconds of Starship serial number 11’s (SN11) first Raptor engine test but suffered an abort just before full ignition, briefly leaving the rocket on fire.
Around 12:26 pm CDT, after an otherwise nominal static fire flow, Starship SN11 momentarily ignited one or two of its three Raptor engines’ preburners, referring to a central component that burns cryogenic liquid propellant into gas that’s ready for combustion. As with all preburner tests, intentional or otherwise, the end result looked a bit like a weak static fire and produced a small but visible amount of flame and thrust. Unlike intentional preburner tests, the static fire abort seemingly ignited something hidden inside Starship SN11’s and appeared to burn for at least another 30-40 seconds.
Raptor has proven itself to be an extremely durable engine, up to and including surviving visible onboard fires during actual Starship flight tests. Nevertheless, depending on the source of SN11’s post-abort fire and what it may or may not have burned or damaged, it’s no surprise that SpaceX ended testing for the day instead of quickly trying again, which it’s done several times prior. If the fire was largely harmless, SpaceX has already distributed notices suggesting a second attempt could happen as early as 6am to 12pm CDT (UTC-5) on Tuesday, March 16th. If more time is needed, SpaceX has the rest of the week to conduct any necessary repairs or swap out SN11’s Raptor engines.
Public documents show that SpaceX has plans to static fire and launch its latest Starship prototype within a two-day period that could begin later today.
SpaceX shipped Starship SN11 from its Boca Chica, Texas rocket factory to test and launch facilities a mile down the road on March 8th, less than five days after Starship SN10 exploded minutes after touchdown. The very next day, SpaceX completed ambient-temperature proof testing, filling Starship with benign nitrogen gas to check for leaks and verify system health. Two days after that, Starship SN11 appeared to complete a several-hour cryogenic proof test – swapping nitrogen gas for its supercool liquid form – without issue.
Despite the seemingly successful ‘cryo proof,’ something prevented a subsequent static fire test planned on March 12th before any attempt could be made, delaying the next attempt until after the approaching weekend. An agreement between SpaceX, Cameron County, and the state of Texas currently prevents road closures (and thus rocket testing) on weekends falling between Labor Day and Memorial Day, rules meant to preserve some level of public access to Boca Chica Beach.
As a result, unless SpaceX is already ready to launch (it has waivers for three such weekend closures for launch attempts), the company has to wait until Monday even if a minor issue fixable in hours or a day or so scrubs Friday test plans. While inconvenient, it’s worth noting that the existence of that public beach and the strong regulations that protect its public domain is likely one of the only reasons the general public can still get as close as they can to SpaceX’s Boca Chica ‘Starbase’.
For whatever reason, that road closure agreement does still mean that SpaceX will (in theory) be able to test and launch any day of the week from May 31st to September 6th, save for a few holidays, effectively boosting the number of opportunities by 40% for those 14 weeks. Until then, SpaceX is doing everything it can to take full advantage of the five days a week it is allowed to test Starship prototypes. N
Notably, although Starships SN8 and SN9 both hit a few weeks of technical and regulatory snags while preparing for their high-altitude launch attempts, SpaceX has been gradually speeding up that process over time. Starship SN10, the first prototype of its kind to land in one piece, took just 33 days to go from pad arrival to liftoff and spent just 8 days between its first static fire and launch attempts. The same feats took Starship SN8 77 and 50 days, respectively, with SN9 splitting the difference at 43 days from transport to liftoff and 28 days between its first static fire and launch attempts.
Road closure requests, a safety warning for residents, and a Temporary Flight Restriction (TFR) filed with the FAA all suggest that SpaceX’s current plan is to attempt Starship SN11’s first triple-Raptor static fire between 6am and 12pm CDT on Monday, March 15th. If that test goes almost perfectly, SpaceX wants to turn the rocket around for a 10 km (6.2 mi) launch attempt on Tuesday, March 16th – the very next day. Given the past performance of high-altitude Starship prototypes, that target is decidedly ambitious and likely to incur delays, but it still reveals the true scope of SpaceX’s goals even at this early stage of development.
If Starship SN11 does manage to launch within a few days of its first static fire attempt, SpaceX would still crush SN10’s 33-day record by a factor of three. Stay tuned for updates on Monday’s possible Starship static fire and rapid Tuesday turnaround attempt
SpaceX confirmed today that it has officially signed its third massive compute deal, providing compute at its Colossus data center in Southaven, Tennessee.
Reflection AI will gain immediate access to NVIDIA GB300 chips at SpaceX’s Colossus 2 data center. In return, Reflection will pay SpaceX $150 million per month starting on July 1, with total payments reaching approximately $6.3 billion if the contract runs through its duration, which is until 2029. Either party can terminate the agreement with 90 days’ notice after the initial three-month period.
CNBC first reported the deal.
🚨 SpaceXAI has agreed to a new compute deal with Reflection AI.
Reflection gets access to NIVIDIA GB300s, and will pay $150M per month to SpaceXAI for the compute. pic.twitter.com/bNPare8U5u
— TESLARATI (@Teslarati) June 22, 2026
This latest partnership highlights SpaceX’s strategy of commercializing its massive Colossus supercomputing infrastructure, originally developed to power Elon Musk’s Grok AI models. The company has rapidly expanded its customer base in the AI sector following its February 2026 merger with xAI, a transaction that valued the combined entity at $1.25 trillion.
SpaceX has previously signed significant compute deals with other major players.
It granted Anthropic exclusive access to the full capacity of its Colossus 1 data center, which exceeds 300 megawatts and includes over 220,000 NVIDIA GPUs. Details from SpaceX’s IPO filings indicate Anthropic will pay $1.25 billion per month through May 2029, potentially generating around $45 billion over the term of the deal.
Additionally, Google agreed to pay SpaceX $920 million per month for compute capacity from October 2026 through June 2029. This 32-month period will provide Google access to roughly 110,000 NVIDIA GPUs, along with supporting processors and memory. Capacity ramps up through September at a reduced fee, with termination options after the first year.
SpaceXA also established arrangements for computing power with Cursor, an AI coding startup. SpaceX acquired them in a $60 billion all-stock deal.
These arrangements position SpaceX’s collective position as an AI infrastructure powerhouse with high-margin revenue potential. The Google deal alone could generate nearly $29.5 billion over its term, while the Reflection contract adds another $6.3 billion.
Combined with the Anthropic arrangement, SpaceX stands to realize tens of billions in revenue from compute leasing in the coming years, which diversifies beyond SpaceX’s traditional rocket launches and Starlink operation.
The deals underscore growing demand for advanced AI training and inference capacity amid chip shortages and surging model development needs. Reflection, valued at $25 billion and focused on “American open intelligence” with government and national security ties, cited recent restrictions on closed models as validation for open-source approaches.
For SpaceX, the partnerships transform capital-intensive data centers into flexible revenue sources while supporting its broader AI ambitions after the company has gone public.
It is safe to say SpaceX won’t be going for electric rockets anytime soon.
In a characteristically blunt reply on X, SpaceX frontman Elon Musk stated, “Unfortunately, electric rockets are impossible,” following reports that MSCI had assigned SpaceX its lowest possible ESG rating of CCC.
The assessment, issued just this past week, coinciding closely with SpaceX’s public market debut, placed the company on par with nations like Russia in sustainability scoring and cited significant risks in environmental, social, and governance areas.
MSCI flagged SpaceX’s exposure to rocket emissions and other operational impacts, alongside governance concerns such as concentrated control by Musk and limited shareholder protections. Musk’s terse comment directly addressed the environmental pillar, underscoring a core physical constraint that ESG frameworks often overlook when evaluating high-thrust industries.
Unfortunately, electric rockets are impossible
— Elon Musk (@elonmusk) June 21, 2026
Electric propulsion systems do exist and are widely used in space. Ion thrusters and Hall-effect thrusters accelerate ionized propellant, typically xenon or krypton, using electric fields, achieving very high specific impulse, often exceeding 3,000 seconds compared to roughly 300–450 seconds for chemical rockets.
This efficiency makes them ideal for satellite station-keeping, orbit raising, and deep-space missions where low thrust over long durations is sufficient. SpaceX’s own Starlink satellites employ electric propulsion for these purposes.
However, launching from Earth’s surface demands something entirely different: enormous thrust delivered rapidly to overcome gravity and atmospheric drag. A typical orbital-class booster must generate thrust far exceeding its weight, often in the millions of Newtons within seconds.
Chemical rockets achieve this through exothermic combustion of dense propellants, producing high-mass-flow, high-velocity exhaust. Electric systems, by contrast, expel very small amounts of mass at extremely high speeds. Generating equivalent thrust would require impractical onboard power levels, massive energy storage or generation systems, and prohibitive added mass, rendering the approach infeasible with current or near-term technology.
Musk has previously expressed a similar sentiment, noting a desire for electric orbital rockets while acknowledging the inescapable requirements of Newton’s third law and energy delivery. The distinction is clear: electric propulsion excels once a vehicle is already in space; it cannot replace the high-thrust chemical phase required to reach orbit from the ground.
The episode illustrates broader critiques of ESG ratings. Proponents argue they incentivize better risk management and long-term sustainability. Detractors, including Musk—who has previously called ESG a “scam”—contend that such metrics can penalize essential activities when no practical alternative exists, potentially discouraging innovation in sectors like space access.
Elon Musk dubs the S&P 500 ESG as “outrageous scam” after Tesla gets booted from index
SpaceX has sought to mitigate launch-related impacts through reusability: Falcon 9 boosters have flown more than 30 times in some cases, dramatically lowering the manufacturing and emissions burden per kilogram delivered to orbit. Starship’s design further emphasizes rapid reusability and methane propellant, which can theoretically be produced via sustainable pathways.
Ultimately, Musk’s remark serves as a reminder that certain engineering realities persist regardless of scoring systems. As humanity expands its presence in space for communications, science, and exploration, balancing genuine environmental progress with technological necessity remains a central challenge.
ESG frameworks may evolve, but the fundamental limits of electric launch propulsion are unlikely to change soon.
Tesla just trademarked ‘MEGAPOD’ with the United States Patent and Trademark Office (USPTO), its latest move in what seems to be a hint that the company is incredibly focused on its AI efforts and storage needs as compute increases.
The application carries serial number 99893717 and lists the applicant as Tesla, Inc., located at 1 Tesla Road, Austin, Texas 78725.
The filing remains in ‘live pending’ status, and it is a new application waiting for assignment to an examining attorney. It has not yet been published or registered.
Tesla just trademarked MEGAPOD
Summary:
“Modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence processing, computer networking hardware, electrical power distribution units, and… pic.twitter.com/3l85DsKadl— Robin (@xdNiBoR) June 19, 2026
According to the official goods and services description in the application, Tesla describes ‘MEGAPOD’ as:
“Modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence processing, computer networking hardware, electrical power distribution units, and cooling systems, sold as a unit; self-contained modular computing hardware systems for artificial intelligence workloads; integrated computer hardware platforms for artificial intelligence computing, namely, enclosures containing computer hardware, power distribution hardware, and cooling hardware, sold as a unit; downloadable software for monitoring, managing, optimizing, and regulating modular artificial intelligence computing hardware systems.”
This description specifies complete, self-contained modular units that integrate servers and specialized AI processing hardware with networking components, power distribution, and cooling systems. It also includes associated downloadable software for oversight and optimization of these systems. The language emphasizes hardware sold “as a unit” and enclosures that combine the necessary elements for AI computing workloads.
Tesla has an established history of developing and commercializing modular hardware systems. Its Megapack product line, for example, consists of utility-scale battery energy storage systems designed as containerized units for grid applications. The MEGAPOD filing follows a similar pattern of protecting a name for modular, integrated hardware platforms, this time focused on artificial intelligence computing infrastructure.
This could be an early move, especially as Tesla did not have trademark rights to the word ‘Cybercab,’ the name of its self-driving, ride-hailing-focused vehicle.
Trademark applications of this type allow companies to secure priority rights to a name for defined categories of goods and services. The USPTO examines applications for compliance with legal requirements, including distinctiveness and absence of conflicts with prior marks. If the application proceeds successfully through examination, publication, and any opposition period, it could result in a federal trademark registration providing nationwide protection. This is what Tesla’s obvious intention is with ‘MEGAPOD.’
Public reports and analysis suggest MEGAPOD could represent modular, container-style AI computing pods designed for easy deployment. These would bundle servers, AI accelerators, power systems, and cooling into self-contained units suitable for distributed AI workloads. This approach aligns with Tesla’s announced AI compute strategy.
In March 2026, Elon Musk outlined plans for “Digital Optimus” (also referred to as Macrohard), a joint Tesla-xAI project for AI agents capable of handling complex digital tasks. The plans include running these agents on Tesla’s AI4 hardware in parked vehicles as well as dedicated compute units installed at Supercharger stations, which collectively offer substantial unused electrical capacity.
What is Digital Optimus? The new Tesla and xAI project explained
A modular hardware platform like the one described in the ‘MEGAPOD’ filing would support scalable, rapid deployment of such distributed compute resources. It could complement Tesla’s other AI infrastructure efforts, including the Dojo supercomputer used for training models and the development of AI systems for autonomous driving and robotics, by enabling edge or regional AI inference without reliance on traditional centralized data centers.
SpaceX confirms third massive compute deal at Colossus data center
Elon Musk responds to SpaceX’s ESG rating and says its rockets won’t go electric
