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SpaceX rolls out first new Starship prototype in nine months
For the first time in more than nine months, SpaceX has rolled a new Starship prototype to its Starbase, Texas launch facilities in the hopes of kicking off qualification testing in the near future.
The new activity exemplifies just how different – and more subdued – Starbase’s last year has been compared to the year prior. However, it also signals new hope for a significantly more eventful 2022 as SpaceX once again finds itself preparing for Starship’s first orbital launch attempt – albeit with an entirely different rocket.

The last time SpaceX rolled a new and functional Starship prototype from the factory to the test stand was on August 13th, 2021, when Starship S20 was transported back to the pad for the second time that month. On August 5th, the same unfinished Starship was stacked on top of Super Heavy booster B4, briefly assembling the largest rocket ever built. With the luxury of hindsight, it’s now clear that that particular milestone was more of a photo-op than a technical achievement. Nonetheless, Ship 20’s path was far more productive than Booster 4’s. The Starship returned to the Starbase factory for a few days of finishing touches before arriving back at the pad on August 13th. Only in the last week of September did Ship 20 finally begin its first significant tests, followed by its first Raptor static fire in mid-October. In mid-November, Ship 20 completed the first of several successful six-Raptor static fires.
Ultimately, by the time Ship 20 was retired in May 2022, the Starship was arguably fully ready to attempt to reach orbit or at least perform some kind of ambitious hypersonic test flight. However, Super Heavy Booster 4 never made it even a fraction of the way to a similar level of flight readiness and SpaceX never received the FAA environmental approval or launch license needed for an orbital launch attempt.
Only now, in May 2022, does it finally look likely that SpaceX will finally receive the necessary permissions for a limited orbital test flight campaign in the near future. While it’s hard to say if Booster 4 and Ship 20 could have supported some kind of launch campaign if permission had been granted months ago, what’s clear is that all aspects – flight hardware, pad hardware, and bureaucracy – have been chronically delayed to the point that Booster 4 and Ship 20 are now heavily outdated.
In their place, now, stand Super Heavy B7 and Starship S24 – the new ‘chosen ones’ assigned to Starship’s orbital launch debut. Both feature extensive design changes and account for an upgraded version of the Raptor engine and countless lessons learned over the better part of a year spent troubleshooting and testing their predecessors. While it did get off to a rocky start, Booster 7 has already completed several cryogenic proof tests and is in the middle of being outfitted with 33 new Raptor engines.

On the other hand, perhaps indicating SpaceX’s satisfaction with Ship 20’s performance, Starship S24 has been on the back burner in comparison. Only on May 26th, 2022 did SpaceX finally finish the prototype to the point that it was ready to begin qualification testing. Missing hundreds of TPS tiles and an aerocover cap, Ship 24 was quickly moved into position at a sort of drive-by test stand where it appears the prototype will first need to pass basic pressure and cryogenic proof tests.
If it passes those tests, SpaceX will then install Ship 24 on a suborbital launch and test stand (Suborbital Pad A) that has been significantly modified for qualification testing. Rather than leaping straight into static fires, SpaceX will minimize the risk of catastrophic failure by first using hydraulic rams to simulate the thrust of six Raptor V2 engines while Starship’s steel tanks and plumbing are chilled to cryogenic temperatures. Only after Ship 24 completes stress testing will SpaceX install new Raptor engines and prepare to replicate Ship 20’s success with several static fires.

Thanks to Raptor V2’s improvements, Ship 24 will likely need to withstand around 1400 tons (~3.1M lbf) of thrust at liftoff – almost 25% more than Ship 20 ever experienced. Beyond a sturdier thrust section, Ship 24 is also the first Starship SpaceX has outfitted with a next-generation nose; the first with a significant landing propellant (‘header’) tank redesign; and the first with a potentially functional payload bay and door.
Assuming Ship 24 passes all planned cryoproof and thrust simulation tests, it remains to be seen if SpaceX will return the Starship to Starbase factory facilities or – like with Ship 20 – install Raptors and finish its heat shield and thermal protection while sitting on the test stand. SpaceX has two test windows currently scheduled: one from 6am to 12pm CDT on Friday, May 27th and the other from 10am to 10pm CDT on Tuesday, May 31st.
Elon Musk
SpaceX confirms third massive compute deal at Colossus data center
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.
Elon Musk
Elon Musk responds to SpaceX’s ESG rating and says its rockets won’t go electric
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.
Elon Musk
Tesla just trademarked MEGAPOD: here’s what it is
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.