European institutions need AI compute that no foreign government can compel, and orbit is the only place that exists. We are selling jurisdiction in the near-term, and cost competitive AI Inference compute in the long-run.
EU providers hold under 13% of their own cloud market. Three US hyperscalers control most of the rest. That drains an estimated €260B a year.[DIGITAL SME] Every one of those providers carries legal exposure to a foreign jurisdiction, the CLOUD Act included.
This has stopped being a talking point. The EU's Cloud and AI Development Act arrived in the June 2026 Tech Sovereignty Package.[EC, June 2026] It sets four tiers of sovereignty assurance.[CADA][EC] Public procurement will score vendors against them. Sovereignty is becoming a line item on a compliance form.
A single bus in the Starlink v2-mini class generates roughly 28 kW.[Google, Table 1] A Blackwell-class accelerator draws about a kilowatt.[NVIDIA] Allow for bus overhead and thermal margin and one satellite carries eight to sixteen GPUs.[own estimate] Those chips sit in one chassis and talk over copper and fibre at NVLink speeds, around 1.8 TB/s.[NVIDIA]
No laser link between two spacecraft will ever come close to that. So we do what terrestrial clusters already do. Tensor-parallel inside the box, where the fabric is fast. Anything slower gets the sparse traffic. This is the standard terrestrial pattern, stretched from a few metres of copper to a few hundred kilometres of vacuum.
Bigger satellites are also more mass-efficient. Shielding scales with surface area while compute scales with volume, so shielding per unit of compute falls as the satellite grows.[Starcloud WP] Better kilograms per kilowatt improves our economics no matter what launch prices do.
A satellite in low Earth orbit passes over a given ground station for a few minutes at a time. Without relay, a customer's job waits until the node flies overhead. Optical downlinks also lose to cloud, and Europe is cloudy. So we need links between satellites and several ground stations spread across different weather.
Relay is a well-served problem. It runs at hundreds of gigabits over thousands of kilometres.[STARCOM] Commercial terminals ship today. Splitting a model across spacecraft is a different regime entirely, needing roughly 10 Tbps at sub-kilometre range, which remains a research topic.[Google §2.1]
One option stays open. If a model outgrows a single chassis, pipeline parallelism across two satellites needs only a few gigabits per link and runs on the same commercial hardware.[own estimate] It is available when we need it.
The 4 km² arrays in the press are a consequence of choosing 5 GW. Radiator area scales linearly with power, so the headline figure says nothing about a satellite four hundred thousand times smaller.
Run Stefan-Boltzmann with Starcloud's own emissivity of 0.92.[Starcloud WP] At their assumed 20°C a square metre nets about 630 W from both faces after solar and Earth absorption. We can run the radiator at 75°C, which is what an 85°C junction with a 10°C gradient allows, and the T⁴ term pushes that to roughly 1,400 W/m².[own estimate]
Eight GPUs at a kilowatt each[NVIDIA] is 8 kW of chip power. Add hosts, memory, networking and bus overhead and call it 12 kW. Every watt becomes heat. That needs about 9 m² of radiator, roughly three metres square. An ordinary deployable panel.[own estimate]
The solar array is the larger structure. At 1,361 W/m², 22% efficiency and 90% packing, 12 kW needs roughly 45 m² of array, against 105 m² on a Starlink v2-mini.[Google, Table 1] Both fold and deploy routinely today.
- Ordinary station-keeping. Sub-kilometre formation flight across many satellites remains unsolved at production scale. Our satellites fly at conventional constellation spacing.
- Conventional collision avoidance. Google's reference design packs 81 satellites inside a one-kilometre radius.[Google §2.2] Ours spread across a normal orbital plane.
- Commercial optical terminals. Relay and downlink hardware is available off the shelf from European vendors flying today.
The result is speed and low technical risk. The first satellite is a complete product on launch day, and revenue begins with a fleet of one.
Google put their own TPU in a proton beam simulating five years in sun-synchronous LEO. The chip survived the full mission dose with margin. Silent bit-flip errors during live workloads ran at roughly one in 3 million inferences at expected orbital dose rates.[Google §2.3] The same paper flags training as far more exposed and still unsolved.[Google §2.3] We picked the workload the hardware has been shown to handle.
Starcloud has already flown a GPU cluster on a smallsat carrying a Blackwell chip and an AWS server blade.[TechCrunch][Starcloud-2] The multi-GPU single-satellite configuration is proven in orbit.
A satellite carrying a GPU cluster, a purchased optical terminal, and a signed customer running real jobs. That proves the unit economics, the ground segment, and the sales motion at once. Everything after it is replication.
- Towards a future space-based, highly scalable AI infrastructure system design. Google Research, Nov 2025. Swarm architecture, TPU radiation testing, inter-satellite link budgets, launch cost analysis.
- Why we should train AI in space. Starcloud (formerly Lumen Orbit), Sept 2024. Shielding scaling, radiator physics, modular design principles.
- Cloud and AI Development Act. European Commission. Four-tier sovereignty assurance framework.
- European Technological Sovereignty Package. European Commission, June 2026. Package overview.
- The case for building Europe’s sovereign cloud. European DIGITAL SME Alliance. EU cloud market share and capital outflow figures.
- Starcloud raises $170M Series A. TechCrunch, Mar 2026. Starcloud-2 payload and launch cost assumptions.
- Starcloud-2 mission page. Starcloud. GPU cluster on a smallsat, edge and cloud workloads.
- NVIDIA Blackwell architecture. NVLink 5 bandwidth and per-GPU power figures.
Every item below is a live problem with real consequences for the plan. They are stated plainly so they can be argued with.
The hardware is deliberately unexotic. A satellite carrying GPUs and a commercial optical terminal is a configuration a competitor could assemble, and Starcloud already flies something close to it.[Starcloud-2] Nothing in the bill of materials keeps anyone out.
Defensibility comes instead from jurisdiction, regulatory position, and the customer relationships that follow. That makes compliance and procurement work as load-bearing as the engineering, and it means execution speed matters more than technical secrecy.
A single satellite is over a given ground station for minutes a day.[arXiv 2604.27197] Academic work on orbital data centers is blunt about this. Geometry and weather set a hard ceiling on sustained space-to-ground throughput, and high availability forces a geographically spread ground segment whose cost scales with the bandwidth you need.[arXiv 2604.27197]
So availability is a function of how many satellites and how many ground stations we own. Both cost money. A customer who wants a defined turnaround window is buying our constellation size, and pricing has to reflect what a given fleet can actually deliver.
Reusable Falcon 9 runs about $3,600/kg to LEO today.[Google §4.4] Google treats $200/kg as the point where launch stops dominating cost.[Google §2.4] They model a learning curve of 20% per doubling that reaches under $200/kg by roughly 2035, needing about 1,800 cumulative Starship launches.[Google §4.4] Their aggressive reuse scenario reaches $15 to $38/kg on 100× component reuse that nobody has demonstrated.[Google §2.4]
Starcloud's whitepaper assumes $30 to $50/kg is achievable now and falling toward $10/kg.[Starcloud WP] That figure comes from their own marketing. Public sources spread across a factor of ten to a hundred on the single input our cost case rests on. We cannot move that number.
Google's radiation data is the best public evidence available and it is encouraging. Two caveats carry real weight. On-chip memory was the weak point, showing irregularities at only about 2.7× the required dose.[Google §2.3] And that is radiation alone. Nobody has published what five years of thermal cycling and mechanical stress does to a GPU in orbit.
Two disposal models are open. Dead hardware deorbits and burns up with nothing recovered, or modules are built for swap-out and partial salvage, which is the route Starcloud designs around.[Starcloud WP] The choice moves the economics materially and needs settling early in the design.
Small satellites are worse economically, and the effect is severe. Avionics, propulsion, comms and structure do not shrink with power, so fixed overhead dominates a small bus. Google's own comparison puts Starlink v2-mini at about 20.5 kg/kW, Starlink v1 at 37, OneWeb at 188 and Iridium NEXT at 430.[Google, Table 1] That is a factor of twenty between best and worst. Starcloud makes the same argument about shielding, which scales with surface area while compute scales with volume.[Starcloud WP]
The figure to minimise is kilograms per kilowatt. Below roughly 10 kW that diverges sharply from total mass, and fixed overhead starts eating the launch budget. This is what sets the eight to sixteen GPU range, and it is an economic constraint rather than a thermal one.[own estimate]
There is no convection in vacuum. Heat leaves by radiation only. Junction limits of around 85°C[McCalip] cap how much compute a given radiator area can carry, and that cap is what sets our GPUs per satellite.[McCalip] Starcloud names the deployable radiator as one of two unsolved technical hurdles on their public roadmap.[SpaceNews] We face the same physics with a smaller team.
Mbryonics sits in Galway, Ireland. They sell to ESA, DARPA, Airbus Defence and Space, and the European Defence Agency.[Mbryonics] Their long-haul specifications suit relay and ground links directly.
- STARCOM. Optical inter-satellite and Earth-link terminals. Up to 400 Gbps by 2027, link distances beyond 80,000 km. Sized for relay.[STARCOM]
- STARLIGHT. Companion modem, amplifier, and antenna control unit. Full assembly under 14 kg.[STARLIGHT]
- STARGATE. Their optical ground station, claiming roughly a thousand times the throughput of RF ground links. A direct candidate for our ground segment.[STARGATE]
- TeraBIX. Radiation-hardened photonic transceiver for chip-to-chip links, under 5 mW/Gb/s. Useful inside the satellite.[TeraBIX]
One open question for them. Their forward error correction is tuned for 80,000 km range, and at relay distances the FEC delay could exceed the flight time.[STARCOM] That number is absent from the public spec sheet and is the first thing to ask.
- Launch licensing across EU and ESA bodies, plus any non-EU launch partner.
- Ground station siting and licensing across several member states, which is a substantial part of the build.
- Orbital slot coordination. Contested and worsening. Starcloud has filed for 88,000 satellites. SpaceX for up to a million.[GeekWire]
- Insurance for launch and on-orbit hardware, which no public cost model in this field includes.
This is the full list. Any serious diligence process will surface the same items in the first ten minutes, so they are better addressed here than discovered later.
- Towards a future space-based, highly scalable AI infrastructure system design. Launch cost models, radiation test results, formation flight and link budget analysis.
- Why we should train AI in space. Starcloud launch cost assumptions and modular swap-out design.
- Orbital data centers: spacecraft constraints and economic viability. Duty cycle, ground segment scaling, and availability constraints.
- Economics of orbital vs terrestrial data centers. First-principles cost model. Thermal limits and junction temperature targets.
- Starcloud seeks more orbital data center funding. SpaceNews. Starcloud technical hurdles, radiator and chip performance.
- Starcloud hits $1.1B valuation. GeekWire. Constellation filings and competitive landscape.
- Mbryonics company and product line. STARCOM, STARLIGHT, STARGATE and TeraBIX specifications.
The field is real, funded, and moving fast. Every serious player is chasing scale and raw cost. Jurisdiction is the open lane.
The Tech Sovereignty Package and CADA stopped being proposals in June 2026.[EC] They are moving through Parliament now. The four-tier sovereignty framework will score vendors in public procurement.[CADA] An orbital node satisfies the hardest tier by construction. It sits beyond every national territory, which settles the question of applicable law in a way even EU-headquartered cloud providers still struggle to answer.
The argument runs into the supply chain too. Buying optical terminals and ground stations from an Irish vendor already trusted by ESA puts the sovereignty claim into the bill of materials, where a procurement officer can see it.
- Defense and ISR. Dual-use framing opens the EU Defence Fund and national innovation arms, which is non-dilutive capital.
- Regulated finance. GDPR-bound inference, where sitting outside any jurisdiction is a novel legal position worth testing with counsel early.
- Healthcare and pharma. Clinical and genomic inference. These sectors already pay a premium to OVHcloud and Scaleway for sovereign cloud.
- Earth observation operators. They generate terabytes a day and downlink is their bottleneck.[Starcloud-2] Processing in orbit serves them at today's launch prices. Starcloud targets this market explicitly.[Starcloud-2]
| Player | Position |
|---|---|
| Starcloud | Targeting a $2.2B valuation. Over $200M raised.[SpaceNews] Filed for 88,000 satellites.[GeekWire] Building gigawatt training clusters with 4km arrays.[Starcloud WP] First to fly a GPU and train a model in orbit. Their cost story needs launch around $500/kg.[TechCrunch] |
| SpaceX | Filed for up to a million satellites. Starcloud's CEO expects most of that capacity to serve internal xAI and Tesla workloads.[SpaceNews] |
| Published system-design research in November 2025 for TPU satellite swarms. 81 satellites, one-kilometre radius, free-space optics.[Google §2.2] The most rigorous public work in the field, currently a research programme.[arXiv] | |
| Axiom, Kepler, Sophia Space | Each working a different angle on orbital compute, all positioned on capability rather than jurisdiction.[Quartz] |
All of them treat compute as the product and are building toward scale and eventual cost parity. Jurisdiction remains unclaimed, and the lane is narrow.
This market probably narrows to three to five players. Orbital slots, spectrum coordination, and launch manifest access are scarce and sequential. The scarcest resource is regulatory trust. CADA's sovereignty framework is not expected to be final before the end of 2027.[CADA] Vendors in the room now, with flying hardware, help define what sovereign assurance means for orbital infrastructure. Later entrants cannot buy that position with capital alone.
- Cloud and AI Development Act. Sovereignty assurance tiers and procurement framework.
- European Technological Sovereignty Package. European Commission, June 2026.
- The case for building Europe’s sovereign cloud. EU cloud market dependency figures.
- Starcloud seeks more orbital data center funding. Starcloud funding, valuation, and CEO comments on SpaceX capacity.
- Starcloud raises $170M Series A. Starcloud Series A and cost-parity threshold.
- Towards a future space-based, highly scalable AI infrastructure system design. Google system-design research programme.
- Startups building orbital data centers before Big Tech. Quartz. Competitive field including Axiom, Kepler and Sophia Space.
Two phases. Near-term revenue from a market that exists at today's launch prices. Long-term revenue from sovereignty contracts as CADA lands. The figures below are first-principles estimates, offered as a frame for the argument.
The arithmetic.[own estimate] A Starlink v2-mini masses 575 kg for 28 kW.[Google, Table 1] We need about 12 kW, so a scaled bus plus GPU chassis and radiator plausibly lands between 350 and 450 kg. Take 400 kg. At $3,600/kg that is roughly $1.4M to launch. Call hardware and integration another $3M. Eight GPUs at 60% utilisation deliver roughly 42,000 GPU-hours a year. Five years against $4.4M of capex needs about $21 per GPU-hour before operating costs.
Mass is the most sensitive input in this calculation. It is scaled from a Starlink bus rather than costed from a detailed design, and every 50 kg moves the break-even by roughly a dollar. A bottoms-up mass budget is an early priority.
Now compare that to the market. Cross-provider median for a B200 sits around $6.25 per GPU-hour, but the spread is enormous, running from $3.75 at the cheapest neocloud to $16.11 on Google Cloud[GPU price index][28 providers] and past $27 on Azure managed instances. Hyperscaler rates already carry a large premium for SLAs, support, and integration.
That reframes the ask. The price sits at roughly 1.3 times what AWS charges a European buyer today, in exchange for a jurisdictional guarantee AWS cannot offer at any price. If launch reaches $200/kg our break-even lands at about $13, which is inside today's hyperscaler range. That is the single figure to validate with a customer before raising anything.
Earth observation operators generate terabytes of raw imagery a day and cannot get it down fast enough. Processing in orbit and downlinking only the result removes their bottleneck. Their reference point is the downlink capacity they lack, which makes this a capability sale rather than a price comparison.[Starcloud-2]
This market is live at today's launch prices and independent of CADA's timeline. It gives the first satellite paying work while the sovereignty motion matures, and it builds ground segment experience on a customer's schedule.
As CADA's assurance tiers become procurement criteria, EU institutions and regulated sectors need vendors who can satisfy the top tier. We sell scheduled and batch inference under a jurisdictional guarantee nobody terrestrial can match.
Pricing here follows compliance rather than compute. A bank barred from running a workload on Azure measures our price against leaving the workload undone, which is where the premium comes from.
- Scheduled inference windows. Guaranteed GPU-hours in defined windows, priced per hour. Suits batch analysis, model serving on a cadence, periodic scoring.
- Sovereign job execution. Data uplinked, processed, results downlinked, nothing retained. Sold on the compliance artefact as much as the compute.
- On-orbit edge processing. Compute sold to other spacecraft operators who need results rather than raw data on the ground.
Every product above is scheduled or batch. Latency depends on when a satellite is overhead, which sets the boundary of what can be sold with a credible SLA.
Dual-use framing opens the EU Defence Fund and national defense innovation arms. Horizon Europe and the EIC fund sovereignty-aligned infrastructure. ESA runs technology development contracts. Every euro from those sources buys hardware without touching the cap table, and a first satellite funded partly by grant capital changes the shape of a seed round considerably.
The model rests on one unvalidated assumption. That a European buyer will pay a premium for jurisdiction. Getting one named customer to confirm that on the record is worth more than anything else in this document.
- Towards a future space-based, highly scalable AI infrastructure system design. Launch price benchmarks used in the break-even arithmetic.
- Starcloud-2 mission page. Earth observation downlink bottleneck and in-orbit processing.
- Cloud and AI Development Act. Procurement framework underpinning phase two demand.
- Economics of orbital vs terrestrial data centers. Terrestrial versus orbital cost comparison.
- Cloud GPU rental price index. Cross-provider medians and ranges, 25 monthly snapshots to July 2026.
- B200 cloud pricing across 28 providers. Live listing tracker used for the range check.