Research brief · Published · Moonside

The orbital compute race

Google, SpaceX, Starcloud, Blue Origin and China are all trying to put AI data centers in orbit. What is real hardware, what is a filing, what the physics allows, and what the economics require.

Sources
60+
Primary docs
Google paper & blog, SpaceX filings, FCC
Search
Claude · Firecrawl · Exa

Juan Carlos Quintero

Founder of Moonside AI. Builds AI agents for businesses. moonside.ai

AI was used to research and draft this brief; JC set the scope and reviewed the findings. Full note at the end.

Next launch

Oct 1

2026

Google's Suncatcher MVP rides SpaceX Transporter-18 from Vandenberg: four Trillium TPUs, about 1 kW of solar, running Gemini in 15-minute bursts.

8×

more solar energy per year for a panel in dawn-dusk orbit vs mid-latitude Earth

Google Suncatcher paper

15 min

runtime before Google's first orbital TPUs must shut down to cool

The Verge, Sep 24 2026

<$200/kg

launch price where orbital compute matches terrestrial energy cost, projected mid-2030s

Google; today ≈ $1,500/kg

1.14M

satellites filed with the FCC for orbital data centers by SpaceX, Starcloud and Blue Origin

Hardware in orbit today: 13

Key findings

Eleven things that are true as of this week

  1. The idea is a live engineering program, not a thought experiment.Google flies its first TPU satellite on October 1. Starcloud trained a model in orbit in December 2025. China has run 12 computing satellites since May 2025.
  2. The physics case is solar power.A panel in dawn-dusk sun-synchronous orbit sees near-constant sunlight and yields 5 to 8 times more energy a year than the same panel on Earth. No grid queue, no land, no water.
  3. The economics case is launch cost, and only launch cost.Google's paper puts parity at under $200 per kg, projected for the mid-2030s. Today is about $1,500. Every bullish timeline is a bet on Starship.
  4. Cooling is the hardest problem, not the fatal one.Heat can only radiate. One 700 W H100 needs about 1.4 m² of radiator. Two independent 2026 studies still conclude passive radiators are manageable and cheap relative to the rest.
  5. Inference goes to orbit first. Frontier training stays on Earth.Laser mesh networks deliver two to three orders of magnitude less bisection bandwidth than a terrestrial cluster. Fine for serving models, bad for training them.
  6. Nobody can fix a chip in orbit.About 9% of chips fail a year and cannot be swapped, which one study turns into 38% extra hardware over five years. GPUs also go obsolete in two to three years.
  7. The timelines split into two camps.Musk: cheapest compute in space within two to three years, factory output from late 2027. Neuberger, Forethought and Orbital Gateway: meaningful scale is a 2030s event.
  8. The externalities are real and unpriced.A million-satellite constellation implies about a billion collision-avoidance maneuvers a year, a satellite in nearly every telescope image, and 100 to 1,000 times more reentry mass than current atmospheric models assume.
  9. It is a geopolitical race.China has the only working multi-satellite computing constellation and a five-year policy plan. The US has three megaconstellation filings and one cautious hyperscaler. Europe has studies.
  10. The AI labs are buying the ground, not the sky.OpenAI has more than $1.4 trillion of terrestrial compute deals and its own inference chip. Anthropic pays SpaceX $1.25 billion a month for GPUs in Memphis and has only "expressed interest" in orbit. Altman calls space data centers "ridiculous" for this decade.
  11. For builders, compute keeps getting cheaper. Context stays scarce.Every model in orbit will have read the same internet. None will have read your business. The knowledge layer is where the value moves.

Why now

AI demand hit the energy wall

Google alone processed more than 3.2 quadrillion tokens a month as of September 2026, up sevenfold in a year. The IEA expects data center electricity use to more than double by 2030.

In the US, new capacity waits in multi-year queues to connect to the grid, so labs went off-grid. xAI installed hundreds of megawatts of gas turbines in Memphis. OpenAI and Oracle placed large turbine orders for Texas. Turbines now have their own backlogs, and local opposition to data centers is growing.

Once you are going off-grid anyway, the question changes: where is the cheapest, most abundant power? Several serious people now answer "orbit." The Christian Science Monitor's framing in September: tech leaders "faced with earthly opposition" want to build in space.

The physics

Four constraints decide everything

Power

1,300 W/m²

Solar with no night

Above the atmosphere there is no weather and no loss. A dawn-dusk sun-synchronous orbit at about 650 km rides the day-night line, so panels face the sun almost continuously and batteries shrink. Google says up to 8× a mid-latitude panel; Forethought's conservative range is 3 to 5×.

Heat

1.4 m²

Radiator per 700 W GPU

No air, so no convection. Heat leaves only by radiation, scaling with area times temperature to the fourth power. Radiators shed a few hundred W/m²; a chip makes thousands of watts in your hand. A 40 kW rack needs about 80 m², a pickleball court. Coatings degrade about 40% over five years.

Radiation

15 krad

TPUs survived without failure

Google put a Trillium TPU in a 67 MeV proton beam. High Bandwidth Memory showed irregularities at 2 krad, three times the 750 rad a shielded five-year mission sees. No hard failures up to 15 krad. Commodity accelerators are more radiation tolerant than expected.

Links

1.6 Tbps

Lasers instead of cables

Data-center-class bandwidth needs received power thousands of times higher than long-range satellite lasers deliver, which forces satellites to fly hundreds of meters apart. Google's bench demo pushed 800 Gbps each way through off-the-shelf fiber transceivers driving two telescopes. Target: about 10 Tbps per link.

How an orbital compute satellite worksSunalways in viewSolar array~400 W/m²Compute busdozens of TPUsheat to deep spaceRadiatorfew hundred W/m²laser link100 to 200 mNeighbor satellite81 per clusterresults down via laserEarth, ~650 km below
The Suncatcher concept. Power on one side: a solar array in dawn-dusk orbit sees near-continuous sun and yields about 400 W/m² at 30% efficiency. Heat on the other: heat pipes and pumped loops carry it to a radiator that faces away from the sun. Compute in the middle, laser links to neighbors 100 to 200 m away, results beamed down to a relay or ground station. SpaceX's AI1 follows the same shape at 75 m wingspan and up to 250 kW.

Google

Project Suncatcher: the cautious one

Announced November 4, 2025 with a preprint paper by Blaise Agüera y Arcas, Travis Beals, James Manyika and colleagues. Google frames it next to its quantum and Waymo bets: a decade-scale program that works backward from an end state.

Architecture in the paper

Orbit: dawn-dusk sun-synchronous, ~650 km.

Cluster: 81 satellites inside a 1 km radius, neighbors 100 to 200 m apart, modest station-keeping. The formation moves "like a Viennese waltz."

Links: ~10 Tbps per link via dense wavelength-division multiplexing plus 2×2 or 4×4 spatial beam arrays.

Payload: dozens of TPUs per satellite.

Economics in the paper

Launch prices have fallen about 20% per doubling of cumulative mass launched. Extending the curve gives ≤$200/kg by the mid-2030s, which needs on the order of 180 Starship flights a year.

At $200/kg, launched power on a Starlink v2-mini-class bus costs about $810 per kW per year, "roughly comparable" to terrestrial data center energy spend of $570 to $3,000.

The October 1 mission

The satellite is called MVP. Refrigerator-sized, built by Planet, riding SpaceX's Transporter-18 rideshare on a Falcon 9 from Vandenberg. Four Trillium TPUs, about 1 kW of solar, Gemini workloads. The cooling stack (thermal interface material, aluminum and copper heat pipes, radiators) allows about 15 minutes of compute before shutdown. Planned operations about one year; six-year orbital life before reentry. The original plan was two custom satellites in early 2027, so this flight pulls the first data forward by months.

"Exploring space as a viable location for scalable AI compute won't happen all at once. This first launch is about seeing what works, identifying points of failure, and applying those findings to future missions."

Travis Beals, Google, September 24, 2026
  • Tested on the ground: three-axis vibration at launch loads (10 g sustained, 50 to 100 g on components), proton beam at UC Davis, thermal vacuum chamber.
  • Next: two satellites in 2027 to prove laser links between moving spacecraft, "hitting a coin-sized target from kilometers away while both ends move." Then clusters of 80-plus. Google has floated a single satellite the size of a football field.
  • Open problems named by the authors: thermal management at TPU density, on-orbit reliability with no repair, ground links through turbulence, single-event effects on training jobs, and an integrated power-compute-radiator satellite design.
  • Context: Google owns roughly 6% of SpaceX. James Manyika says nothing operational is imminent.

SpaceX

Starmind: the maximal one

On January 30, 2026 SpaceX filed with the FCC for up to one million orbital data center satellites between 500 and 2,000 km. The FCC accepted the application on February 4. The filing calls the constellation "a first step towards becoming a Kardashev II-level civilization."

AI1 satellite (spacex.com)

Deployed height 30 m · wingspan 75 m

Compute payload up to 250 kW peak, 175 kW average · 75 kW per tonne

Chips Nvidia Rubin GPUs and Vera CPUs first; "chip vendor agnostic." Terafab, the fab SpaceX is building with Tesla, is meant to supply later generations.

Cooling liquid loops to large radiators. Pitch: no chillers or cooling towers, an order of magnitude less cooling overhead.

Downlink lasers to Starlink, then to ground. Musk: "much simpler than a Starlink satellite."

Claims and timeline

Scale: one million tonnes a year at 100 kW per tonne would add 100 GW of compute a year. The filing asks to waive normal deployment milestones.

Factory: Gigasat Factory in Bastrop, Texas, "thousands of AI satellites starting as soon as late 2027."

Structure: SpaceX acquired xAI in early 2026 and is now public (SPCX). xAI would run its own compute, on its own rockets, on its own solar, on its own chips.

Ground target: 10 GW of AI compute by end of 2027, from 1.4 GW today.

"The amount of compute in space will obviously round up to 100% of all compute."

Elon Musk, September 24, 2026

Everything here keys on one variable. Starship flying hundreds of times a year at 200 tonnes per flight. Starship is expected to begin carrying Starlink V3 in 2026; V3 itself (2,000 kg, 250 m² of panel, 100 kW) is the closest existing analog to an orbital compute bus.

Starcloud

The startup that started it

Starcloud (Redmond, WA; founded 2024 as Lumen Orbit; Y Combinator; CEO Philip Johnston) published the September 2024 white paper that both Wikipedia and the TU Eindhoven paper credit as the first widely cited proposal to actually build orbital data centers.

  • Starcloud-1, November 2025: a 60 kg satellite with the first Nvidia H100 in orbit, about 100× any prior space GPU. In December it trained Andrej Karpathy's NanoGPT on Shakespeare and ran Google's Gemma, which opened with "Greetings, Earthlings."
  • Money: $250M Series A extension at $2.3B post-money (August 21, 2026), led by Manhattan West, with Nvidia and Cisco Investments. $450M raised in total.
  • Plans: an FCC filing for 88,000 satellites. Starcloud-2 in October 2026 with Nvidia Blackwell plus several H100s. Future satellites on Nvidia's Space-1 Vera Rubin module (25× H100). A 100,000 sq ft factory in Woodinville. Long-term: a 5 GW orbital data center with panels 4 km on a side, claimed 10× lower energy cost. Satellite life: five years, matched to the chips.

"Anything you can do in a terrestrial data center, I'm expecting to be able to be done in space. And the reason we would do it is purely because of the constraints we're facing on energy terrestrially."

Philip Johnston, Starcloud CEO, December 2025

Blue Origin and the field

Everyone else with a filing, a fund or a plan

Blue Origin announced TeraWave in January 2026, a 5,408-satellite optical backbone with 6 Tbps links, then filed Project Sunrise on March 19: 51,600 satellites in sun-synchronous orbits from 500 to 1,800 km. NASA objected on May 12, citing overlap with human spaceflight altitudes, debris risk and vague end-of-life plans. Amazon separately objected to SpaceX's filing; SpaceX called the arguments "naïve." Jeff Bezos expects gigawatt data centers in space within 10 to 20 years.

CompanyWhat they are doingStatus, Sept 2026
Cowboy Space (ex-Aetherflux, founder Baiju Bhatt)Rockets whose upper stages become data centers in LEO; "Stampede" constellation; began in space solar power$275M Series B at $2B (May 2026); Seattle hub
Sophia Space (Pasadena)Modular orbital data center satellites on Nvidia hardware$300M non-binding framework with Space Leasing International for 10 leased satellites (Sept 2026)
Axiom SpaceOrbital data center nodes incl. missile-defense processing; Nvidia partnerTexas Space Commission funding; $350M raise
Relativity SpaceEric Schmidt took over as CEO and chairman in 2025 to build orbital data centers on Terran RRaising; nothing flown for this yet
LonestarLunar data storage and disaster recoveryPayload landed on the Moon, March 2025
NvidiaSpace-1 Vera Rubin module (GTC 2026): 25× H100 compute per GPU for orbit; Jetson and IGX Thor for small payloadsPartners: Axiom, Cowboy, Kepler, Planet, Sophia, Starcloud
Planet, KeplerSatellite buses and optical relayPlanet built Google's MVP
Ramon.Space, Mantis Space, Orbital, TranscelestialRadiation-resilient processors; early constellations; laser downlinksEarly stage; Orbital raised $5M pre-seed in June 2026
Edge Aerospace, ALATYRESA roadmap study; robotically assembled orbital data centers (France)ESA contract May 2026; announced

China and Europe

The only working constellation flies a Chinese flag

The Three-Body Computing Constellation, led by ADA Space and Zhejiang Lab and announced by Wang Jian at the 2024 Wuzhen summit, launched 12 computing satellites on May 14, 2025. Each carries an 8-billion-parameter model and 744 TOPS; the batch totals about 5 POPS, 30 TB of storage and 100 Gbps laser links.

  • Feb 2026: nine months of in-orbit testing complete; ten AI models validated in orbit, including Alibaba's Qwen3.
  • Mar 2026: the constellation ran the open-source OpenClaw agent in orbit to voice-command a humanoid and a quadruped robot on Earth.
  • Jul 2026: two satellites held a continuous laser link for 192 hours at up to 1,000 km with 99.99% availability.
  • Plan: 2,800 satellites (2,400 inference, 400 training) at 500 to 1,000 km; 100 by 2027, about 1,000 by 2030, complete by 2035; 1,000 POPS. Third batch of 14 due Q4 2026. ITU has approved the filing.
  • State layer: a January 2026 filing for 200,000 satellites, a Beijing space computing centre opened June 2026, and a 2026 to 2031 five-year plan for gigawatt-level space digital infrastructure. Other constellations: Nayuta ALAYA (12,500), Xingshu (1,000), GalaxySpace, Landspace, China Mobile.

Europe has studies and a warning. The Horizon Europe ASCEND study (Thales Alenia Space-led, since 2023) says orbital data centers could strengthen digital sovereignty. ESA flies AI on Φ-sat-2 with Open Cosmos and gave Edge Aerospace a roadmap contract. The European Space Policy Institute's August 2026 brief "Constellating Compute" warns that if the gap widens, Europe will compute its own space data through third parties.

The AI labs

The buyers are betting on the ground, and paying Musk anyway

The companies that consume frontier compute are not waiting for orbit. Their 2026 moves show where they think the constraint is: delivered megawatts on Earth in the next 24 months. Space is a hedge, and they say so.

OpenAI

Buy the ground, own the chips, bring your own power

Stargate: seven US sites, $500B with Oracle and SoftBank. Abilene is live at about 0.3 GW (heading to 1.2 GW by end of 2026); the other six add up to more than 9 GW by 2029. At least three sites run on their own gas plants; partners are building about 6.8 GW of generation. A planned Abilene expansion to 2.1 GW was reversed after a winter storm damaged cooling gear. OpenAI now says it has surpassed the original 10 GW and is chasing 3 GW in Georgia and 8 GW in Ohio.

Deals: Nvidia 10 GW, AMD 6 GW, Broadcom 10 GW of custom accelerators, Oracle $300B, Microsoft $250B, Amazon $38B. Commitments above $1.4 trillion. Compute actually online: 0.2 GW (2023), 0.6 GW (2024), 1.9 GW (2025). Target: 30 GW by 2030.

Jalapeño (June 24, 2026, with Broadcom): OpenAI's first chip, inference only, designed in nine months with help from its own models. First results (Aug 25): 1.5 to 1.9× more work per watt and 1.7 to 3.6× lower latency than Blackwell systems. Deploys by end of 2026.

Anthropic

Rent everything, everywhere, including from Musk

Hardware: AWS Trainium, Google TPUs, Nvidia GPUs. Deals: Amazon up to 5 GW (nearly 1 GW new by end of 2026); Google and Broadcom 3.5 GW of TPUs from 2027; Microsoft and Nvidia $30B of Azure; AMD 2 GW from 2027; Fluidstack $50B; Nscale about $44.6B for 460 MW in West Virginia; Lambda about $35B for 350 MW in Texas; a data center venture with Macquarie and GIC. About $517B committed, 14.8 GW secured since October 2025, against a revenue run rate above $30B.

SpaceX (May 6, 2026): all of Colossus 1 in Memphis, "more than 300 megawatts of new capacity (over 220,000 NVIDIA GPUs) within the month." Price per SpaceX's IPO filing: $1.25B a month through May 2029, 90-day exit for either side. Then expanded onto GB200s in Colossus 2. The same post holds the only orbital sentence from any lab: Anthropic has "expressed interest in partnering with SpaceX to develop multiple gigawatts of orbital AI compute capacity."

"I honestly think the idea with the current landscape of putting data centers in space is ridiculous. If you just do the rough math of launch costs relative to the cost of power we can do on Earth, we are not there yet."

Sam Altman, July 2026. Musk's reply on X: "We start flying them next year."

"With the way you buy these data centers, if you're off by a couple years, that can be ruinous."

Dario Amodei, Dwarkesh podcast, February 2026

SpaceX as landlord

Before it launches a single compute satellite, SpaceX has become one of the largest sellers of terrestrial AI compute. Anthropic pays $1.25B a month for Colossus 1. Google pays $920M a month from October 2026 to June 2029 for about 110,000 Nvidia GPUs, "bridge capacity" for Gemini Enterprise. Both contracts surfaced in SpaceX's filings ahead of its June 2026 IPO (about $75B raised near a $1.75T valuation). SpaceX "expects to enter into additional similar services contracts." Its revenue before these deals was about $18B a year. The labs are financing the orbital bet while doubting it.

Gigawatts on the ground vs gigawatts in orbit

What the labs have online or contracted on Earth, against what is flying and what SpaceX's filing promises. Log scale.

  • On Earth
  • In orbit (flying or claimed)
Table view
ItemPowerStatus
SpaceX orbital claim, per year100 GW / yrClaimed in FCC filing
OpenAI target, 203030 GWStated target
Anthropic secured since Oct 202514.8 GWContracted, 2026 to 2029
Stargate, planned by 20299 GWSeven sites under construction
OpenAI compute online, 20251.9 GWOnline
Colossus 1, rented to Anthropic300 MWOnline, $1.25B a month
Starcloud-1 (one H100)~1 kWFlying since Nov 2025
Google Suncatcher MVP1 kWLaunches Oct 1, 2026

For scale: the largest AI data centers

Epoch AI's September 2026 ranking: xAI's Colossus 2 at about 946 MW, Anthropic-Amazon New Carlisle at about 910 MW, Microsoft Fairwater Atlanta at about 636 MW. Fairwater Wisconsin targets 2.26 GW by Q2 2028 at more than $100B. Meta expanded Hyperion to 5 GW and over $50B, and guided 2026 capex to $125 to $145B. Alphabet committed more than $180B of 2026 capex and sold $80B of equity to fund it. Rough benchmark: about $29B per gigawatt of facility.

What this says about orbit. Every lab deal above lands in 2026 to 2028; the earliest credible orbital production misses that window, so orbit is a hedge. The parts orbit would need are being built on the ground first: inference-only silicon like Jalapeño and the TPU, and bring-your-own generation. Scale check: Colossus 1 alone is 300 MW, the equivalent of 300,000 Google MVP satellites or about 1,700 SpaceX AI1s. And demand-timing risk (Dario's "ruinous") is worse for an asset with a five-year life and no repair.

The numbers

Filed, flying, and the price that decides it

Satellites filed vs satellites flying

Regulatory filings for orbital data center constellations against hardware in orbit today. Log scale.

  • Filed (FCC or ITU)
  • Flying or launching Oct 1
Table view
PlayerFiledFlying
SpaceX Starmind1,000,0000
China (state filing)200,0000
Starcloud88,0001
Blue Origin Sunrise51,6000
China Three-Body2,80012
Google Suncatcher01

Power per satellite, kilowatts

What one spacecraft can feed to compute. A terrestrial Nvidia rack is shown for scale.

Table view
SpacecraftkWNote
Google MVP14 TPUs, Oct 1 2026
Starlink V31002,000 kg, 250 m² of panel; the closest existing analog
Nvidia Blackwell rack (Earth)120Terrestrial reference, for scale
SpaceX AI1, average175Per spacex.com; 75 kW per tonne
SpaceX AI1, peak250Per spacex.com; first flights targeted late 2027

Launch cost thresholds, dollars per kilogram to orbit

Where analysts say orbital compute starts to win. Today's price is the blue marker. Log scale.

  • Today
  • Threshold
Table view
Threshold$/kgSource
Today (Falcon 9 class)$1,500Forethought, May 2026
Space solar matches off-grid terrestrial power$250Forethought
Orbital compute matches terrestrial energy cost$200Google Suncatcher paper, projected mid-2030s
Competitive with terrestrial data centers$100Forethought
Cheaper than any Earth energy source$50Forethought
Starship floor with 100× reuse$15Google paper; propellant sets the floor

The bear case

What has to go right, and what could go wrong

  • Launch cost does all the work. Forethought (May 2026): parity with off-grid terrestrial power at about $250/kg, competitive with terrestrial data centers at about $100/kg, cheaper than any Earth energy at $50/kg. Their five-year cost of 1 GW: grid $37.6B, off-grid gas plus solar $36.8B, orbital at $100/kg $35.0B, at $50/kg $30.3B. Conclusion: no meaningful share before 2030; competitive within 3 to 5 years only if Starship stays on track.
  • The cooling math cuts both ways. IEEE Spectrum's model, even at $44/kg and $0.20/kWh on Earth, puts a GPU in orbit at 10× the annual cost. Forethought counters that carbon-composite radiators reach 163 to 346 W/kg, making thermal 2 to 5% of total cost. TU Eindhoven's Kees van Berkel: a 100 kW satellite at 370 K needs about 38 m², "plausible."
  • Training does not fit. Van Berkel (July 2026): terrestrial Clos networks deliver about 28.8 TB/s bisection bandwidth; orbital torus meshes 2.25 to 10 TB/s with two orders of magnitude worse latency. A 288× to 12,880× penalty for frontier training. Inference on single satellites is feasible; orbital training "within the next 2 to 3 years is not credible."
  • No repair, fast obsolescence. Roughly 9% of chips fail a year and stay failed, compounding to about 38% overbuild over five years. GPUs turn over every two to three years. Blaine Curcio: a state-of-the-art data center launched at enormous cost "might be obsolete in a couple of years."
  • Downlink. Transcelestial's Rohit Jha: "If you can't talk to these AI systems, then those data centers are useless." Hyperscale in orbit may be five to seven years away and may need nuclear power.
  • Debris and traffic. Starlink dodged about 300,000 potential collisions in 2025. Hugh Lewis calculates a million-satellite constellation needs about a billion avoidance maneuvers a year: "ridiculous." Samantha Lawler's CRASH Clock: if every satellite went dark today, the first collision comes in under three days. The ITU review process is called "definitely broken" by insiders.
  • Astronomy. 500,000 satellites would put one in almost every telescope image taken anywhere. At a million there would at times be more visible satellites than stars.
  • Atmosphere. Reentering satellites leave aluminum oxide aerosols that affect ozone. Models assume about 10,000 tonnes a year of reentry mass. Musk's vision implies one to ten million. ESA's Draco mission (2027) will measure a controlled breakup.
  • Regulators and people. NASA's objection to Sunrise shows "no permits in space" is not quite true. Ariel Ekblaw (Aurelia Institute) calls the timelines optimistic. Evelyn Chow (Neuberger): "It's a next-decade event."

The counterweight, from a skeptic. Blaine Curcio of Orbital Gateway Consulting: in the late 2010s every satellite industry expert, himself included, said SpaceX had "no chance" of launching 10,000 satellites by 2025. They launched more.

Scorecard

Who has what, right now

PlayerFiling or planHardware in orbitNext milestoneStated economics
Google Suncatcher81-satellite clusters; gigawatt scale eventually; no megaconstellation filingMVP · 4 TPUs · 1 kW · Oct 1Two satellites with laser links, 2027Parity under $200/kg, mid-2030s
SpaceX Starmind1,000,000 filedNone (Starlink V3 is the analog)AI1 production, late 2027"Lowest cost within 2 to 3 years"
Starcloud88,000 filedStarcloud-1 · 1 H100 · 60 kgStarcloud-2 with Blackwell, Oct 202610× lower energy cost
Blue Origin51,600 + 5,408 filedNoneFCC decision; NASA objection pending"Fundamentally lower marginal cost"
China (ADA Space, Zhejiang Lab)2,800 approved by ITU; state filing 200,00012 satellites since May 2025Batch 3 (14 sats) Q4 2026; 100 by 2027State-backed, sovereignty
Cowboy SpaceStampede on own rocketsNoneSeries B deploymentVertical integration
Sophia Space10 leased satellitesNoneDefinitive contracts with SLILease model
Europe (ASCEND, ESA)StudiesΦ-sat-2 (AI Earth observation)Roadmap contractsSovereignty

Timeline

From white paper to launch pad

  1. Sep 2024Starcloud white paper (then Lumen Orbit): the first widely cited proposal to build orbital data centers.
  2. Nov 2024Wang Jian announces China's Three-Body Computing Constellation at Wuzhen.
  3. May 14 2025China launches 12 computing satellites on a Long March 2D.
  4. Oct 2025Musk: cheapest AI compute will be in space within 2 to 3 years. Bezos: gigawatt space data centers in 10 to 20 years.
  5. Nov 4 2025Google announces Project Suncatcher and publishes the paper.
  6. Nov–Dec 2025Starcloud-1 launches with an H100, trains NanoGPT and runs Gemma in orbit.
  7. Jan 2026Blue Origin TeraWave. China files for 200,000 satellites. Musk repeats the claim at Davos.
  8. Jan 30 2026SpaceX files for up to 1,000,000 satellites. FCC accepts on Feb 4.
  9. Feb 2026Starcloud files for 88,000. SpaceX acquires xAI. China completes nine months of in-orbit testing.
  10. Mar 2026Blue Origin files Project Sunrise (51,600). Nvidia announces Space-1 Vera Rubin. China's constellation commands robots on Earth.
  11. Apr 2026Anthropic expands its Google and Broadcom TPU deal to 3.5 GW, online from 2027.
  12. May 2026Cowboy Space raises $275M. NASA objects to Sunrise. Forethought publishes its feasibility study. Edge Aerospace wins an ESA contract.
  13. May 6 2026Anthropic takes all of Colossus 1 (300 MW, 220,000 GPUs) and "expresses interest" in multi-gigawatt orbital compute. May 20: SpaceX's IPO filing shows $1.25B a month through 2029.
  14. Jun 2026SpaceX reveals AI1. Beijing opens a space computing centre.
  15. Jun 5 2026Google agrees to pay SpaceX $920M a month for about 110,000 GPUs from October. SpaceX IPOs near $1.75T. Jun 24: OpenAI and Broadcom unveil Jalapeño.
  16. Jul 2026Van Berkel's cost-and-network paper. China's eight-day continuous laser link.
  17. Jul 12 2026Altman calls space data centers "ridiculous" for this decade. Musk: "We start flying them next year."
  18. Aug 2026SpaceX publishes Starmind specs. Starcloud raises $250M at $2.3B. ESPI warns Europe is behind.
  19. Aug 25 2026Jalapeño's first results: 1.5 to 1.9× more work per watt than Blackwell. Anthropic signs about $44.6B with Nscale for 460 MW in West Virginia.
  20. Sep 2026CNBC's four obstacles. Sophia Space's $300M framework. Musk's "100%" post. Google announces the Oct 1 launch.
  21. Oct 1 2026Suncatcher MVP on Transporter-18.

What to watch

Eight signals, in order

  1. Oct 1 2026MVP survives launch and the TPUs complete their 15-minute Gemini bursts. First-week telemetry sets the tone.
  2. Oct 2026Starcloud-2 with Blackwell. Starcloud's next round gets priced on this.
  3. Q4 2026China's third batch (14 satellites at 525 km) and any sign of the 100-by-2027 pace.
  4. 2026–2027Starship cadence. Every economic model keys on flights per year and dollars per kg. Watch the first Starlink V3 deployments from Starship.
  5. 2027Google's two-satellite laser test. SpaceX's first AI1 launches and Gigasat production. ESA's Draco reentry mission.
  6. PendingFCC decisions on the SpaceX, Blue Origin and Starcloud filings, and whether SpaceX's milestone waiver is granted.
  7. PendingNvidia Space-1 shipments. The first radiation-qualified Rubin-class module in orbit is the hardware inflection point.
  8. PendingAny public chip failure rate in orbit. The least-discussed variable, and the one that could quietly double the cost.

For builders and business owners

Compute is going to orbit to get cheap. Your knowledge isn't going anywhere.

  • Compute trends toward a commodity produced like energy. Whether orbit wins or loses, the industry now competes on the marginal cost of a watt of inference. On a ten-year horizon the price of intelligence keeps falling. A business betting on "AI is expensive" as a moat is betting against everyone in this brief.
  • Inference at the edge of everything. The first orbital workloads serve models rather than train them. Add direct-to-cell connectivity and you get low-latency AI anywhere on the planet without terrestrial infrastructure. Design products assuming inference is cheap and everywhere.
  • The scarce input is context. Every model in orbit will have read the same internet. None will have read your calls, documents, decisions and methods. As the cost of running a model falls, value shifts to the knowledge layer that makes it useful for one specific business. The space race strengthens the company-brain thesis rather than weakening it.
  • Sovereignty becomes a purchasing criterion. China's program is explicitly about controlling its own space data. Europe's policy institute is warning about dependence. Expect "where does my inference run" to become a compliance question the way data residency did.
  • The energy story will shape public opinion about AI. Orbit is the industry's answer to "you are taking our water and power." Expect the debris and astronomy arguments to intensify as filings turn into launches.

Sources

Everything cited

How this brief was made

Built with Claude Fable 5.1 at xhigh effort in Claude Code, researching through Claude search, Firecrawl and Exa on top of Google's primary documents saved in the brain. AI drafted the research, this page, the report and the content ideas. JC set the scope, directed the work and reviewed the findings.

Disclosure, following the Diligence pillar of Anthropic's AI Fluency framework (the 4Ds: Delegation, Description, Discernment, Diligence): AI was used to build this report. Every claim links to a source above. Single-source claims were flagged and held back until confirmed.

Published 1 October 2026 · JC / MoonsideBuilt with Claude Fable 5.1 (xhigh effort) in Claude Code · Claude search · Firecrawl · Exa

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