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DeepSpace: SpaceX takes huge step towards Mars with flawless Crew Dragon performance
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While the mission is not done just yet, SpaceX is days away from (hopefully) wrapping up an extraordinarily smooth debut of its newest spacecraft, a human-rated vehicle known as Crew Dragon. Assuming no anomalous behavior during reentry, descent, and landing this Friday, SpaceX will likely be less than six months away from launching its first astronauts to the International Space Station (ISS), the most important step yet towards offering reliable and routine transport to Earth orbit and ultimately between Earth and Mars.
Founded by Elon Musk to kickstart a stagnant space industry and drive humanity to become an interplanetary species, SpaceX is in the process of building the first full-scale prototype(s) of the launch vehicle (Super Heavy) and spacecraft (Starship) it believes will deliver on those promises. Along with countless programmatic and technical lessons learned, every conceivable aspect of Crew Dragon’s development will feed directly into SpaceX’s development of Starship, meant to one day safely transport and land as many as 100 passengers on the surface of Mars.
A spacefaring civilization, one step at a time
In the process of building Crew Dragon, SpaceX has been forced to become rising experts in fields like human-rated environmental control and life support systems (ECLSS), as well as ensuring an even more extreme level of redundancy and reliability compared with SpaceX’s already high standards for their uncrewed Falcon rockets and Cargo Dragon spacecraft.
- More so than any particular piece of technology present on Crew Dragon, the process of both cooperating and grappling with NASA to build the spacecraft to high standards and ‘certify’ it has hopefully had an extremely positive impact on SpaceX’s own engineers and company-wide standards, albeit potentially at the cost of some of the willingness to take risks and move quickly.
“I’m personally convinced that this has made, certainly, SpaceX better, to have NASA guide us, and to look at requirements, and to try to question requirements, and what’s the true reason behind those requirements, and then basically comply with the overall safety culture that NASA taught us, I would say, to some extent. And so I feel like it certainly made a better SpaceX and made better engineers out of the SpaceX engineers. And I really appreciate that very much.”
-Hans Koenigsman, Vice President of Mission Assurance, SpaceX
Feet in Earth orbit, head in the Martian clouds
- Regardless, the end result will ultimately be a reliable spacecraft capable of transporting an average of 4-7 astronauts to and from the ISS, whether that end result is the result of near-perfect execution the first time around or discovering and fixing problems during flight tests.
- Compared to NASA, SpaceX prefers a radically agile approach to development, meaning that the company will rapidly build, test, and fly iterations of the same hardware of software, beginning with the minimum viable product and ending (although improvement never really ends) with an advanced solution optimized by extensive lessons learned.
- Through the process of building Crew Dragon, SpaceX has hopefully absorbed most of the valuable lessons and practices NASA can often be rich with while rejecting the unhealthy and unsuccessful tendencies that contribute to NASA’s distinctly unimpressive modern efforts to build human-rated rockets (SLS) and spacecraft (Orion, Space Shuttle).
- With that knowledge and technical experience, SpaceX may already have an extremely strong foundation upon which it can build its next-gen spacecraft, Starship. In theory, Crew Dragon’s life support system – meant to support up to 7 astronauts with extreme reliability and safety – should be able to scale up to ECLSS fit for dozens or hundreds of passengers.
- In a worst-case scenario relative to mass efficiency, SpaceX could quite literally package Crew Dragon’s ECLSS system into a module and duplicate it as many times as needed for a given Starship crew. Identical modules could then be transported in a cargo bay for any structures built on the surface of Mars or the Moon.
- Understandably, Crew Dragon does not need a significant number of systems critical for longer stays in space, as it is only designed to support humans for approximately one week in free-flight. SpaceX will still need to develop extremely efficient recycling systems, used to recycle water, oxygen, and other consumables to extend the amount of time the ISS (or Starship/Mars colonies) can operate without external supply deliveries.
- In essence, recycling technology is roughly (or sometimes exactly) equivalent to something known as in-situ resource utilization (ISRU), basically prioritizing local resources over shipped goods. A small subset of SpaceX’s future projects team has been working on ISRU – particularly Sabatier reactors for Starship refueling on Mars – for several years.
- In late 2017, Elon Musk stated that the design and development of SpaceX’s own ISRU hardware were “pretty far along.”
Mission Updates:
- SpaceX’s Crew Dragon spacecraft will attempt its first orbital-velocity reentry and Atlantic Ocean splashdown on the morning of Friday, March 8th.
- The second launch of Falcon Heavy could occur as early as late March
- Aside from DM-1 and Falcon Heavy Flight 2, it’s unclear what SpaceX mission will happen next. DM-1 may be the only SpaceX launch in March, while several missions are tentatively scheduled for April and May.
Photos of the week:
B1051 returned to Port Canaveral three days after successfully sending Crew Dragon on its first orbital mission. Thanks to the relatively low-energy trajectory and gentle reentry, SpaceX should be able to refurbish the booster extremely quickly.(c. Tom Cross, Pauline Acalin)
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
