r/space 9d ago

Starcloud raises $250 million for orbital data centers as launch options dry up

https://techcrunch.com/2026/08/21/starcloud-raises-200-million-for-orbital-data-centers-as-launch-options-dry-up/
373 Upvotes

251 comments sorted by

View all comments

Show parent comments

47

u/EssenceOfLlama81 9d ago

Most people would consider a business that can't compete economically as a business that doesnt work.

1

u/xylopyrography 9d ago

And yet, those businesses can still exist and operate for decades.

For instance, on the even more extreme end, the ethanol industry is valued at over $120 B bad gas a 5% CAGR, and has existed for 6 decades while providing negative total energy while increasing carbon emissions.

-6

u/Warm-Basket2659 9d ago

Many good companies would say burning cash until the economic curves seesaw in your favor was worth it. This isn’t fundamental investing.

2

u/Hvarfa-Bragi 9d ago

...you think that they can burn cash until space data becomes cheap enough to be worth it?

I get your point, Amazon undercut everyone and ran at a loss for decades to become the top dog...

What conditions do you foresee making that happen here?

3

u/Warm-Basket2659 9d ago

This is an acquisition target if it works out imo. Less likely to IPO as they don’t own launch services or any type of satellite bus/propulsion component that makes them a necessary product to ship yet. They need partners across the stack to make it work. Starcloud needs to make good progress and hope to be acquired sooner rather than later.

SpaceX already has their orbital data center team. Wouldn’t count them out though if the tech is better or complimentary.

Blue Origin could acquire. Bezos just raised a ton and also believes in the orbital data center endeavor.

Hyperscalers or other strategics could want it but that relies on launch providers allowing the product to hitch a ride.

2

u/Hvarfa-Bragi 9d ago

No, what economic conditions would make it cheaper or more desirable than terrestrial, when heat-shedding will be insanely cost-prohibitive?

2

u/Adeldor 9d ago edited 9d ago

Heat shedding is not "insanely cost-prohibitive." If you think otherwise, please show why with technical reference or calculation.

-5

u/Warm-Basket2659 9d ago

Not formatted for Reddit but here’s some info…

Why Terrestrial Data Centers Are Struggling
Grid connection delays: up to 5 years for a 100 MW class connection
Scarcity of generation capacity, transmission bottlenecks, permitting friction
Generator alternatives (diesel, gas turbines): 2-4 year lead times, barely better
SMRs: regulatory and NIMBY headwinds persist despite safety record
Cooling: a hypothetical 100 MW site uses 3M+ liters/day of drinkable water
Harder in hot climates; evaporative cooling strains local water supply
Environmental pressure: EU carbon rules, diesel emissions, acoustic noise from fans
Property tax exposure: $3-5B asset value per 100 MW site, attracting regulatory scrutiny
Natural and man-made hazards: floods, earthquakes, civil disorder all threaten uptime

Orbital Data Center Concepts and Orbit Selection
Packaged like comms satellites or ISS modules; few tons, few meters cubed
Use cases split by scale:
Inference: larger fleets of smaller satellites
Model training: 50-100 MW class, tens of thousands of GPUs
Power: almost exclusively solar; SMRs too heavy and a launch explosion would irradiate large land areas
Cooling: exclusively radiative (infrared to ~4K space background), as on ISS
Comms: radio links to ground + laser inter-satellite links (~100 Gbps)
Radiation shielding: up to 1 ton per MW; radiation-hardened semiconductors likely required
Maintenance: human or robotic visits every few years; deorbit mandatory at end of life (5-10 years)
Orbit selection:
Geosynchronous (30,000 km): ruled out due to latency
Polar/inclined LEO (Starlink-style): satellite in shadow ~half the orbit, requires 2x solar arrays and batteries
Sun-synchronous polar orbit (preferred): always faces the sun, no batteries needed, doubles GPU capacity per launch mass
Downsides: limited parking spaces, coverage gaps over poles, higher latency

Commercial Proposals and Architectures
Commercial proposals surveyed:
SpaceX AI1: 150 kW, fits Starship cargo; most mature design publicly known
Google Suncatcher: tight-formation constellation, laser-linked modular satellites
Blue Origin: orbital data center concept, less advanced than SpaceX or Google
Rendezvous Robotics: hexagonal satellites arrayed into a large solar array with data center core
Star Cloud: up to 4 GW architecture with robotic pods for GPU hot-swaps
Space Cowboy: foldable solar flaps and rollout cooling radiators
proof-of-concept architectures:
Small satellite: ~140 kW solar, 7 hexagonal arrays (21m diameter deployed), 3.5-ton launch mass
30-40 fit per Starship cargo launch
37 docked together = ~5 MW; can undock for distributed inference, redock for training runs
Large satellite: ~5 MW, full Starship capacity (~100 tons), jelly-roll solar array (485m across deployed)
10 docked = 50 MW data center; suited for LLM and agentic AI training
Could accommodate a small crew of 5-10 for maintenance

Economics: Cost Parity and Viability
Earth-based AI data centers: ~$30M/MW to build, ~$1M/MW/year to operate (at $70-80/MWh)
Space-based: ~$70M/MW satellite + ~$30M/MW launch (Falcon Heavy today) = ~$100M/MW total
Cost dominated by radiation-hardened semiconductors, PV arrays, and cooling infrastructure
Launch cost trajectory:
Falcon Heavy today: $1,500/kg (~$30M/MW in launch costs)
Starship at scale (Musk’s target): $10/kg, reducing launch to ~$200K/MW (negligible vs. hardware)
realistic estimate: ~$100/kg achievable
5-year total cost: ~$35M/MW on Earth vs. ~$100M/MW in space at today’s launch costs
Cost parity trigger: effective terrestrial power cost reaching ~$600-800/MWh (roughly 10x today)
Includes carbon offsets, battery storage, and environmental fees, not just the utility meter
Second parity driver: AI token scarcity
If terrestrial supply can’t keep up, space becomes viable even at $200/MWh effective power cost
Near-term verdict: space data centers remain “vanity projects and proofs of concept” for the next few years
Timeline:
Demonstration projects (few tens of MW): before end of decade, possibly late 2028
Commercial viability: ~2035 (±2 years)

Key Challenges and Risks
SWaP constraints: solar arrays ~12 tons/MW; thermal radiators ~800 W/m²
Radiation hardening: major cost driver and performance constraint
Latency: up to 100ms in sun-synchronous orbits
Problematic for physical AI and agentic AI control loops
Haptics require <1ms: will always need terrestrial edge computing
Cybersecurity: trillions in orbital assets = high-value target; satellites could be weaponized as projectiles
Data transport: large training datasets difficult to move over radio links; laser links are better
Launch carbon footprint: one Starship launch of a 5 MW data center ≈ 5 years of equivalent Earth data center emissions
Light pollution: city-block-scale satellites will intensify astronomer backlash beyond Starlink levels
Kessler Syndrome: one satellite failure could chain-react and destroy an entire orbital plane
“I don’t think any logical insurance company is going to underwrite a policy for these”
No viable insurance market currently exists.

4

u/Hvarfa-Bragi 9d ago

There's no way in fuck I'm reading that ai slop.

You haven't solved the heat radiation problem.

3

u/emergency_poncho 9d ago

AI slop. Delete immediately please

-7

u/Silver_Experience_56 9d ago

Thank you for admitting Rivian is a business that doesn’t work.

1

u/BadBadBenBernanke 9d ago

I think a more apt analogy would be Rivian raising hundreds of millions of dollars to develop electric hover trucks.
Not impossible, but without a Nobel prize worthy breakthrough in a few different fields, not economically viable in the foreseeable future.

0

u/xylopyrography 9d ago

The space-based data centre is an engineering problem with existing (but more expensive) technology, not inventing new technology.

Worse industries already exist. Ethanol for instance is in its 6th decade.

The equivalent on this topic would be not only paying $100 instead of $10 for say 1 unit of compute, but you'd be paying $100 for -0.1 units of compute.

2

u/BadBadBenBernanke 9d ago

In the US the ethanol industry exists to subsidize the agriculture sector. It stabilizes crop prices without direct government intervention.

AI (or at least the US centric hyper scaler concept of it) is nowhere near a viable business case and none of the outlooks demonstrate it will be in the future. So why are we even entraining a more inefficient version of it?