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SpaceX’s orbital Starship prototype sheds tiles, comes to life during first tests

Framed by Super Heavy boosters B3 and B4, Starship S20 comes to life for the first time. (NASASpaceflight - bocachicagal)

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After weeks of mostly invisible – albeit slow and steady – work at Starbase’s suborbital launch and test facilities, SpaceX has finally kicked off the first orbital Starship prototype’s first test campaign.

Almost two months ago, Starship 20 (S20) departed the factory it was built in for the first time and was rolled a few miles down a South Texas highway to Starbase’s nascent orbital launch site. There, SpaceX briefly installed Ship 20 on top of Super Heavy Booster 4 (B4) – an important first and one done with the same ship and booster pair CEO Elon Musk says could eventually support the rocket’s inaugural orbital launch attempt. Mere hours after that August 6th photo opportunity and fit test, Ship 20 was rolled back to the Starbase build site for another week of work before again returning to the launch site.

This time around, Starship S20 headed for one of two suborbital launch and test stands and ultimately spent the better part of the next six weeks sitting in place as workers swarmed around the 50m (~165 ft) tall spacecraft and upper stage to prepare it for the next steps. In theory, those steps were simple enough, beginning with the completion of two basic qualification tests – the same tests that a half-dozen prototypes preceding Ship 20 completed without issue.

(NASASpaceflight – bocachicagal)

Effectively SpaceX’s first Starship or Super Heavy test of any kind in more than two months, it thankfully didn’t take long for things to get interesting. Before the pad had even been cleared of the last few remaining workers, Starship S20 violently shed a good dozen or so fragile heat shield tiles. CEO Elon Musk quickly confirmed speculation that Starship S20 had effectively jetted the tiles off its nose during a brief test of high-pressure cold gas maneuvering thrusters, coincidentally around the same time as SpaceX began to pressurize the rocket for its first tests.

Note the large cutout (header tank vent) and five smaller cutouts (cold gas thrusters) just below it. Musk says one of those thrusters blew away some of the adjacent heat shield tiles. (NASASpaceflight – bocachicagal)

Going into what was believed to be Starship S20’s first ambient-temperature pressure test and cryogenic proof test, the loss of some heat shield tiles was almost universally expected. In a structure as large as Starship, even just the thermal contraction of steel at supercool temperatures (and expansion as it warms back up) could change the rocket’s diameter an inch or so, potentially causing tiles to scrape or press against each other. About the size of a dinner plate and the thickness of an average paperback book, Starship’s ceramic heat shield tiles have proven to be very fragile, with dozens routinely chipping, cracking, and shattering during and after installation on Ship 20.

One unique (and no less unproven) aspect of Starship is SpaceX’s decision to mount its heat shield directly to the thin steel propellant tanks and skin that make up the rocket’s entire airframe. SpaceX’s first stab at the problem involves studs/pins welded – by robot – directly to the exterior of Starship’s tanks and skin. By embedding small metal plates inside each cast tile, they can be easily installed by aligning the tile and pressing it against each set of three barb-like pins, which then irreversibly lock in place. Over most of Starship’s hull, SpaceX then tacks on blankets of off-the-shelf ceramic wool insulation before tiles are installed on top of that steel and blanket sandwich. Compared to the Space Shuttle and Russia’s Buran, the only other orbital spacecraft to fly with non-ablative heat shields, Starship’s thermal protection system (TPS) is incredibly simple. Of course, the challenges imposed on heat shields by mechanical stresses during launch/landing, orbital reentry, and a need for rapid reusability are anything but simple.

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As such, to see tiles blown off Starship S20 by cold gas maneuvering thrusters that were simply placed too close to adjacent TPS was an unexpected route to an expected outcome. During Monday’s nine-hour test window, SpaceX appeared to partially or fully pressurize Starship S20 at ambient temperatures before aborting a cryogenic proof test either before or just after it began. While an ambient-temperature proof was the easier of the two tests on the docket, it’s still encouraging to see no obvious tile loss caused by the actual mechanical stresses involved in the test.

Most importantly, compared to losing dozens of tiles to regular mechanical or thermal stresses, fixing an issue with thruster impingement is much easier and should only require a few design tweaks to one specific Starship component. The real nail-biting moments will come during Starship S20’s seemingly imminent cryogenic proof and static fire debuts, major TPS issues during either of which could necessitate vehicle-wide design changes and cause delays.

With any luck, whatever forced SpaceX to abort Starship S20’s first cryogenic proof test can be easily rectified, opening the door for additional attempts. Two more test windows are scheduled later this week from 5pm to 11pm CDT on Tuesday and Wednesday. Rewatch today’s brief testing below.

Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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SpaceX confirms third massive compute deal at Colossus data center

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Credit: xAI Memphis

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.

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.

SpaceX makes first acquisition post-IPO

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.

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Elon Musk

Elon Musk responds to SpaceX’s ESG rating and says its rockets won’t go electric

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(Credit: SpaceX)

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.

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.

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Tesla just trademarked MEGAPOD: here’s what it is

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tesla showroom
(Credit: Tesla)

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.

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.

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