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SpaceX President updates schedule for Starship’s orbital launch debut

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SpaceX COO and President Gwynne Shotwell says that the company now expects Starbase to be ready for Starship’s first orbital launch attempt as early as June or July, pushing the schedule back another month or two.

To accomplish that feat, SpaceX will need to more or less ace a wide range of challenging and unproven tests and pass a series of exhaustive bureaucratic reviews, significantly increasing the odds that Starship’s orbital launch debut is actually closer to 3-6 months away. While SpaceX could technically pull off a miracle or even attempt to launch hardware that has only been partially tested, even the most optimistic of hypothetical scenarios are still contingent upon things largely outside of the company’s control.

Will FAA or won’t FAA?

Both revolve around the Federal Aviation Administration (FAA), which – in SpaceX’s case – is responsible for completing a ‘programmatic environmental assessment’ (PEA) of orbital Starship launches out of Boca Chica, Texas and issuing a launch license for the largest and most powerful rocket ever built. In some ways, both tasks are unprecedented, but the bureaucratic processes involved are still largely the same as those SpaceX has successfully navigated over the last two decades.

First up, the FAA’s environmental review. Until very recently, the fate of Starbase’s PEA was almost completely indeterminable and could have gone any number of ways – most of which would not be favorable for SpaceX. However, just a few days ago and about a week after the FAA’s latest one-to-two-month PEA delay announcement, the agency updated an online dashboard to show that the fourth of five main PEA processes had been completed successfully. The most important part of the update is the implication that SpaceX and the FAA have now completed almost every aspect of the PEA that requires cooperation with other federal agencies and local stakeholders.

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Only one more cooperative process – ensuring “Section 4(f)” compliance – still needs to be completed. Without delving into the details, there is no convincing evidence to suggest that that particular step will be a showstopper, though SpaceX might have to compromise on certain aspects of Starbase operations to complete it. Once Section 4(f) is behind them, the only thing standing between the FAA and SpaceX and a Final PEA is the completion and approval of all relevant paperwork. In other words, for the first time ever, the FAA’s targeted completion date – currently May 31st, 2022 – may actually be achievable.

Still, as the FAA itself loves to repeatedly point out, “the completion of the PEA will not guarantee that the FAA will issue a launch license – SpaceX’s application must also meet FAA safety, risk, and financial responsibility requirements.” Even if the PEA is perfect, SpaceX still has to secure an FAA launch license for the largest and most powerful rocket in history. It’s unclear if SpaceX and the FAA have already begun that painful back-and-forth or if some tedious fine print prevents it from starting before an environmental review is in place. Without knowing more, launch licensing could take anywhere from a few days to several months.

A series of tubes

Without the FAA’s launch license and environmental approval, any Starship SpaceX builds cannot legally launch from Starbase. On the other side of the coin, though, it’s just as true that the FAA’s nods of approval are worth about as much as the paper they’re written on without a rocket that’s ready to launch. In a perfect world, SpaceX would have a Starship and Super Heavy booster fully qualified, stacked, and sitting at Starbase’s orbital launch site when the FAA finally gives a green light. However, that’s not quite what SpaceX’s reality is today.

SpaceX has made a significant amount of progress in the last month and a half, but contrary to CEO Elon Musk’s hopes as of March 21st, the company will absolutely not be ready to attempt an orbital launch by the end of May. Nonetheless, Shotwell’s estimate of “June or July” may not be completely out of reach. Since Musk’s tweet, SpaceX finished assembling Super Heavy Booster 7, rolled the rocket to the launch site on March 31st, and completed several major tests in early April. However, during the last test, an apparent operator error significantly damaged a large part installed inside the booster, forcing SpaceX to return Super Heavy B7 to Starbase’s build site. After two and a half weeks of repairs, Booster 7 returned to the launch site on May 6th and completed another ‘cryoproof’ test, seemingly verifying that those quick repairs did the job.

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Had Booster 7 not required repairs, it’s not impossible (but still hard) to imagine that SpaceX could have had a Super Heavy booster ready to launch by the end of May. Still, the static fire testing Booster 7 needs to complete is almost entirely unprecedented and could take months to complete. To date, SpaceX has never ignited more than six Raptors at once on a Starship prototype, while Super Heavy will likely need to complete multiple 33-engine tests before it can be safely considered ready for flight. Worse, there is no guarantee that SpaceX actually wants to fly Booster 7 after the damage it suffered. If Booster 8 carries the torch forward instead, Starship’s orbital launch debut could easily slip to late Q3 or Q4 2022.

Meanwhile, Super Heavy is only half of the rocket. When Musk tweeted his “hopefully May” estimate, SpaceX was nowhere close to finishing the Starship – Ship 24 – that is believed to have been assigned to the orbital launch debut. However, SpaceX finally accelerated Ship 24 assembly within the last few weeks and ultimately finished stacking the upgraded Starship on May 8th. A great deal of work remains to truly complete Ship 24, but SpaceX should be ready to send it to a test stand within a week or two. Even though the testing Ship 24 will need to complete has been done before by Ship 20, making its path forward less risky than Booster 7’s, Ship 24 will debut a number of major design changes and likely needs at least two months of testing to reach a basic level of flight readiness.

Last but not least, there’s the question of the orbital launch site (OLS) itself. Is the launch mount ready to survive a full Super Heavy static fire? Is the pad’s tank farm ready to fill Starship and Super Heavy with several thousand tons of flammable, explosive cryogenic propellant? If it’s a goal of the test flight, is the launch tower ready for a Super Heavy booster to attempt to land in its arms? While there are reasons to believe that the answer to some of those questions is “yes,” plenty of uncertainty remains and plenty of work is still incomplete.

Ultimately, Shotwell’s June goal is almost certainly unachievable. Late July, however, might be within the realm of possibility, but only in the unlikely event that all Booster 7 and Ship 24 testing is completed almost perfectly and without further delay. For the pragmatic reader, August or September is a safer bet. Thankfully, at least one thing is certain: activity at Starbase is about to get significantly more exciting.

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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 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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