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SpaceX details plan to build Mars Base Alpha with reusable Starship rockets
For the first time, SpaceX has teamed up with researchers from NASA and several other US institutions to publicly discuss how it plans to use Starship to build Mars Base Alpha.
Save for a handful of comments spread around the periphery of SpaceX and CEO Elon Musk’s main focus, Starship itself, the company and its executives have almost never specifically discussed how the next-generation fully-reusable rocket will be used to create a permanent human presence on Mars. For the most part, that clear focus on near-term hurdles is hard to fault. Half a century of mostly theoretical analysis has made it abundantly clear that a permanent and sustainable extraterrestrial human outpost is impossible without a radical reduction in the cost of access to space. For decades, NASA has studied and studied and studied slight variations of a plan that would cost hundreds of billions of dollars to send a few astronauts to Mars for a few months at a time.
Put simply, without a revolution in space transport, even a temporary presence on Mars where inhabitants are mostly dependent on imported goods is infeasible unless Mars exploration is made a national or international priority on the order of tens of billions of dollars per year. Over the 80-90 years that spaceflight has been seriously pondered, dozens of groups and papers and studies and space agencies have imagined what that revolution might look like and SpaceX is not unique for proposing a solution to that longstanding problem. However, SpaceX is the first of that long list of contenders to propose a solution and both invest significant resources and put hammer to metal in an attempt to make that vision real.

Two years after SpaceX announced its intention to build that next-generation space transportation system, Musk revealed a radical design change and work on the first steel Starship prototypes began. Three years later, SpaceX has completed nine Starship test flights – four brief hops and five flights above 10 km (6 mi). In 2021 alone, SpaceX completed four of those high-altitude flight tests, recovered a high-altitude prototype intact for the first time, built the first orbital-class ship and booster prototypes, began testing that ship, and is nearly finished the first orbital Starship launch site from scratch. In April, SpaceX also secured a $2.9 billion NASA contract to build a human-rated Moon lander variant of Starship.
Put simply, SpaceX – and now NASA with it – has laid a sturdy foundation upon which Starship will almost certainly be realized. A great deal of work remains but SpaceX has more or less surmounted most of the major technical hurdles that towered over Starship/BFR/ITS just a few years ago. A wealth of Starship ground and flight tests have firmly demonstrated that the rocket’s structures, avionics, Raptor engines, exotic methods of descent and landing, and previously unflown fuel of choice are all ready for orbital flight. From then on, SpaceX will still need to prove out Starship’s massive, ceramic, non-ablative heat shield technology; mature orbital rocket refueling techniques and technologies; and finally operationalize all the above to make the rapid launch, reuse, and refueling of the largest rocket in history routine and mundane – something SpaceX has proven to be more than capable of with Dragon and Falcon.
How, then, will SpaceX proceed to the Red Planet?

Packing for Mars
With the help of coauthors from NASA Ames, SETI, and half a dozen prestigious US universities and institutes, SpaceX has begun to answer exactly that question in a 2021 whitepaper [PDF] submitted for the National Academies’ next Planetary Science and Astrobiology Decadal Survey. While that survey alone could influence NASA as the agency prepares to outline its next decade of space science and determine the ultimate destination of tens of billions of federal dollars, the consequences of which could be immense, SpaceX also used the paper to describe its plans for early missions to Mars in unprecedented detail.
As has always been the plan, SpaceX will begin the process of constructing sustainable cities on Mars with a few (relatively) simple steps. Likely as soon as the mid-2020s, SpaceX will begin launching uncrewed Starships to Mars to both verify the system’s maturity and readiness and “deliver significant quantities of cargo to the surface in advance of human arrival.” Likely leaning on a wide range of robotics, those early missions will help SpaceX characterize local resources, stage supplies, test technologies for long-duration Martian surface ops, and begin developing infrastructure – with a propellant plant likely the most pressing need. None of that is surprising. However, there’s more.

According to the authors, which include several current and former SpaceX engineers, “current SpaceX mission planning [tasks those early uncrewed Starships with delivering] equipment for increased power production, water extraction, LOX/methane production, pre-prepared landing pads, radiation shielding, dust control equipment, exterior shelters for humans and equipment, [and more – all hardware needed to support the first human base.]”
Further, confirming what’s been assumed to be the plan for years, “humans will likely live on [Starships] for the first few years until additional habitats are constructed” and “the first wave of uncrewed Starships can also be relocated and/or repurposed as needed to support the humans on the surface,” serving as “valuable assets for storage, habitation, [scientific laboratories], and a source of refined metal structures and resources.” The paper also states that “SpaceX is aggressively developing Starship to…conduct initial test flights to Mars…as soon as 2022 [or 2024]” and even raises the possibility of SpaceX launching the first Starship(s) to Mars before the rocket’s first lunar mission but then launching a separate lunar mission and landing a different Starship on the Moon while the Marsbound ship or ships are still in transit.

The whitepaper marks the first time that SpaceX (or those familiar with the company’s plans) has properly fleshed out the basics of its first crewed and uncrewed Starship missions to Mars and confirms a great deal of well-informed speculation. Namely, SpaceX appears to intend to pack even the very first Mars-bound ships with supplies. But even if they don’t bring much, the first Martian immigrants – launched in batches of “10-20 people” alongside “100+ metric tons” (~220,000+ lb) of cargo – will reuse all surviving Starships as pre-emplaced habitats, storage tanks, and raw material feedstock. Early cargo will focus on power, water, and propellant production, as well as shelters, radiation shielding, and the construction of prepared landing pads. Unsurprisngly, early residents will likely make the Starships that carry them to Mars their first homes on the surface of the Red Planet, taking advantage of an ~1100mÂł (~39,000ftÂł) pressurized volume already outfitted to keep dozens of people alive and healthy in deep space for months at a time.
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.