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SpaceX fires up redesigned Crew Dragon as NASA reveals SuperDraco thruster “flaps”
On November 13th, SpaceX revealed that a planned static fire test of a Crew Dragon’s powerful abort thrusters was completed without issue, a strong sign that the company has successfully redesigned the spacecraft to prevent a catastrophic April 2019 explosion from reoccurring.
Pending a far more extensive analysis, Wednesday’s static fire should leave SpaceX on track to perform Crew Dragon’s next major flight test before the end of 2019.
In an unexpected flourish of transparency, SpaceX and NASA published photos of the Crew Dragon capsule’s static fire test just a few hours after it was completed, an excellent sign that the ‘quick-look’ data analysis immediately following the test was extremely positive. Spaceflight Now was first to visually confirm that the test had occurred, publishing a photo that revealed a whitish cloud of smoke produced by the static fire around 3:15 pm EST (20:15 UTC).
Had a failure similar to the April 2019 explosion occurred, that cloud would have likely been tinged red by unburnt dinitrogen tetroxide (NTO) oxidizer, and the different appearance of November 13th’s exhaust cloud was seen as the first tentative sign that this static fire had gone more successfully.
Alongside photos of the SuperDraco thruster test published by NASA and SpaceX shortly after its conclusion, SpaceX confirmed that the test was completed without issue. Regardless of whether everything performed exactly as intended, this means that factory-fresh Crew Dragon capsule C205 made it through the test unscathed, likely securing SpaceX and NASA a large volume of uninterrupted telemetry data, as well as the hardware itself.
Just hours after C205’s static fire was completed, NASA published a detailed update, confirming that the tests were finished without any immediately apparent issues.
NASA described the test in much more detail than SpaceX, noting that it began with the ignition of two of Crew Dragon’s 16 Draco maneuvering thrusters, each performing two one-second burns. C205’s eight SuperDraco abort thrusters subsequently ignited and burned for a total of ~9 seconds to simulate required abort performance, followed by the reignition of two Draco thrusters immediately after SuperDraco cutoff.
Each capable of producing several dozen pounds of thrust, both Crew and Cargo Dragon use Draco thrusters to orient themselves in orbit, rendezvous with the International Space Station, and lower their orbits to reenter Earth’s atmosphere. Crew Dragon’s Draco thrusters are also designed to control its attitude during abort scenarios, stabilizing and flipping the spacecraft to prevent a loss of control and ensure proper orientation during emergency parachute deployment. The Draco firings during Crew Dragon’s November 13th static fire were meant to simulate that additional use-case.
Aside from verifying that SpaceX has successfully redesigned Crew Dragon to mitigate the failure mode that caused capsule C201’s catastrophic explosion in April 2019, the Draco static fires specifically mirrored the burns Crew Dragon C205 will need to perform to successfully complete its In-Flight Abort (IFA) test. As noted by NASA and SpaceX, with the static fire complete, both teams will now comb through the data produced, inspect Crew Dragon to verify its health and the performance of its redesigned high-flow pressurization system, and perform any necessary refurbishment.
SuperDraco’s mystery “flaps”
NASA’s post on Crew Dragon’s static fire revealed another thoroughly intriguing detail: the SpaceX spacecraft’s SuperDraco thrusters apparently have flaps! A bit of retroactive speculation suggests that SuperDracos are closed out with plugs of some sort to create a seal against the environment before Crew Dragon is rolled out to the launch pad. Perhaps, in the event of a SuperDraco ignition, SpaceX included actuating flaps as a method of resealing those thrusters prior to splashdown in the Atlantic Ocean.
“Immediately after the SuperDracos shut down, two Dracos thrusters fired and all eight SuperDraco flaps closed, mimicking the sequence required to reorient the spacecraft in-flight to a parachute deploy attitude and close the flaps prior to reentry. The full sequence, from SuperDraco startup to flap closure, spanned approximately 70 seconds.”
NASA, November 13th, 2019
Given that the obvious utility of those flaps appears to be extremely limited and their associated actuators have to survive the 9+ consecutive seconds of hellish conditions in the event of an actual abort, it seems like an excessively complicated system to include on Crew Dragon. Nevertheless, the ability to guarantee that SuperDracos are water-sealed before splashdown would almost without a doubt make Crew Dragon far easier to refurbish and reuse.
The SuperDraco flaps may also be a holdover from before propulsive Crew Dragon landings were canceled, although the use-cases for such a system still remain unclear. The flaps’ raison d’etre could even be as simple as preventing water intrusion that might otherwise cause Dragon to sink after splashdown.
Regardless of why they exist, NASA indicates that SpaceX’s November 13th static fire proved that they worked exactly as expected, closing soon after the simulated abort burn to seal Crew Dragon against water intrusion. If NASA and SpaceX’s deep-dive inspections and data analysis uncover no red flags, it’s extremely likely that SpaceX will able to launch C205 for its In-Flight Abort test some 4-8 weeks from now.
If the IFA also goes as planned, Crew Dragon could be ready for its inaugural NASA astronaut launch as early as February or March 2020.
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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
