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SpaceX has all the Starlink funding needed for an “operational constellation”
Upper-level wind shear has unfortunately scrubbed SpaceX’s first dedicated Starlink launch attempt, pushing Falcon 9 B1049’s third liftoff to no earlier than 10:30 pm EDT (02:30 UTC), May 16th.
A few hours prior to the launch attempt, SpaceX CEO Elon Musk hosted a conference call with members of the press and answered a number of questions about Starlink, providing the best look yet into the company’s newest endeavor. Topics included the advanced technologies on each Starlink satellite, their extremely unorthodox deployment method, SpaceX’s ultimate goals for the constellation, and even a few brief comments on funding.
Funding, secured
Perhaps the single most important thing Musk noted in the hour-long media briefing was his belief that SpaceX already has “sufficient capital to build an operational constellation.” It’s possible that that statement is heavily qualified, as Musk did not delve into greater detail, but it is still an incredible claim that could mean Starlink is far ahead of competing constellations and far more capital-efficient than OneWeb.
As previously discussed on Teslarati, in the last four years, OneWeb has raised $3.4B of funding, while SpaceX – a company primarily focused on building and launching rockets – has raised $2B, half of which is known to be dedicated to Starlink. OneWeb’s constellation (either 650 or 2650 satellites) cost estimate has grown quite a bit recently and stands at ~$5B. Assuming all $2B of the funding SpaceX has raised is dedicated to Starlink, that would translate to a per-satellite cost – including all infrastructure and launch – of $450,000 for the first phase (~4400 satellites).
Musk’s contextual definition of an “operational constellation” is probably more in line with the twelve 60-satellite launches he described as necessary to provide “significant [broadband] coverage”. It could also refer to the entire tranche of ~1600 Starlink satellites planned for the lower 550 km (340 mi) orbit this first batch of 60 is headed for, a number that Musk stated would offer “decent global coverage”. Either way, Starlink is almost certainly far more capital-efficient than OneWeb, LeoSat, Telesat, or any other satellite constellation with serious intentions.
The most obvious explanation for this – regardless of the satellites themselves – is simple: SpaceX owns its own closed-loop launch capability, including pads, integration facilities, an established cross-country transport network, and the rockets (Falcon) themselves. For any of the proposed satellite constellations to succeed, the manufacturers will almost invariably need to find build satellites so affordably that the cost of launch outweighs the cost of its payload. This ultimately means that launches alone could account for something like 50% of the cost of an entire satellite constellation.
Assuming Block 5 boosters can be reused at least 5-10 times each, the only real cost of an internal SpaceX launch is the hours worked, recovery fleet operations, and the expended upper stage and fairing – likely less than $30M altogether. As such, SpaceX may already be achieving its satellite cost targets on its first launch.
Deploying satellites “like spreading a deck of cards”
Meanwhile, Musk also offered some detail on the deeply unorthodox method SpaceX has chosen for spacecraft deployment once in orbit. Apparently, Starlink satellites will be deployed from Falcon 9’s upper stage by rotating the stage (presumably along its vertical axis) and simply letting go of the spacecraft. Musk used the analogy of spreading a deck of cards on a table, seemingly suggesting that they will either be released simultaneously (perhaps by stack) or with a stagger measured in milliseconds. This could create a fairly spectacular visual, forming an evenly-spaced spiral of satellites spreading out from the Falcon upper stage.
Above all else, Musk mainly seemed to be excited about Starlink, whether discussing the constellation’s long-term goals or the technology utilized on each individual satellite. Some miscellaneous facts and tidbits taken from the Q&A can be found below:
- Aside from Ka-band antennas and inter-satellite laser links, these 60 Starlink spacecraft are very close to the final spacecraft design.
- “It’s one of the hardest engineering projects that I’ve ever seen done.” – Elon Musk
- Starlink v0.9 is SpaceX’s heaviest payload ever by a huge margin, weighing in around 18,500 kg (40,800 lb). Crew Dragon is most likely in second-place, with a launch mass estimated to be around 13,500 kg.
- Combined, the solar arrays on the 60 Starlink spacecraft will produce up to 50% more power than the International Space Station’s football field-sized panels. This translates to ~180 kW, with each spacecraft thus producing around 3 kW total with an unusual single-panel array.
- Two solar array deployment mechanisms will be tested on this mission.
- “We see this as a way to generate revenue to develop more advanced rockets and spaceships. Starlink is a key component for establishing a presence on the moon and Mars.” – Elon Musk
- SpaceX sided with krypton-fueled Hall effect thrusters due to krypton costing 5-10x less than more traditional xenon propellant. SpaceX’s internally-designed and built thrusters will have an ISP of ~1500s.
- “[SpaceX has built] the most advanced phased array antenna[s] that I am aware of.” – Elon Musk
- These first 60 satellites alone will have a combined bandwidth of 1 terabit per second (125 GB/s), averaging around 17 Gbps per satellite.
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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
