How Data Centers in Space Could Change AI
By Bloomberg Originals
Summary
## Key takeaways - **AI Data Centers Hit an Energy Wall**: AI data centers have hit an "energy wall," with North America alone needing 50-100 additional gigawatts over the next three years—equivalent to building 50-100 new nuclear power stations just to keep pace with demand. [00:36], [01:08] - **First Nvidia H100 Chip Reaches Orbit**: In late 2025, Starcloud launched Starcloud 1, a fridge-sized satellite carrying an Nvidia H100—the most powerful processor ever deployed in orbit—after engineering new thermal and radiation shielding to make Earth-grade AI chips survive space. [01:44], [01:56] - **Roll-Up Perovskite Solar Cells for Space**: Since orbital data centers would need solar arrays spanning up to four square kilometers per satellite, NTU Singapore is testing perovskite solar cells—cheap, lightweight chemical ink that crystallizes in vacuum and rolls up for launch. [03:17], [05:16] - **Lasers Beat Radio for Orbital Internet**: With 99% of Earth's data still flowing through undersea cables, space-based computing requires laser links that offer over 1,000 times more bandwidth than radio frequencies and travel perfectly through vacuum with no weather interference. [06:54], [07:21] - **Starship Could Slash Launch Costs 100x**: SpaceX's Starship is designed to cut launch costs from roughly $500 per kilogram today to just $10-$20—a 50-100x drop that finally makes orbital data centers economically viable. [09:14], [09:22] - **China's State-Mandated Orbital Compute Race**: China's Three-Body Computing Constellation has launched 12 of 2,800 planned satellites, potentially reaching 600x Earth's computing power—already funded and written into national policy, unlike the US's private-sector scramble. [10:30], [11:04]
Topics Covered
- AI Demands 50 to 100 New Nuclear Reactors
- Nvidia's H100 Now Runs in Orbit
- Lasers Are Building an Orbital Internet
- Starship Could Slash Launch Costs to Ten Dollars a Kilo
- Who Builds Space Compute First Controls the Next Internet
Full Transcript
When you ask AI to answer a question, generate an image, or write a line of code, somewhere, a machine kicks into gear.
A neural network of high-performance computing in data centers that consume huge swathes of land.
There are now thousands of them around the world.
And they’re getting harder to sustain.
These AI data centers just require an enormous amount of power in order to run them, also to cool them.
And so they’ve essentially hit what is an “energy wall.”
And yet, demand keeps accelerating.
Globally, electricity use for data centers is expected to double by 2030.
By 2050, it will likely represent a tenth of all electricity consumed on Earth.
Some forecasts suggest that over just the next three years alone, we will need an additional 50 to 100 gigawatts of new energy for new data center capacity just in North America alone.
For context, one nuclear power station is about a gigawatt so you’d be looking at 50 to 100 new nuclear projects in the US.
So what happens when artificial intelligence outpaces the power and land needed to sustain it?
3 2 1.
The answer may be above Earth.
Engines full power.
And liftoff.
In late 2025, space startup Starcloud, sent a satellite into orbit carrying an Nvidia H100 chip — the most powerful processor ever deployed in space.
Starcloud 1.
Separation confirmed.
A machine only the size of a small fridge, representing a big ambition: to move data centers off Earth.
Until we launched Starcloud 1, people thought that you couldn’t run Earth-based, terrestrial, state-of-the-art GPUs or AI chips in space so we did a lot of engineering work based around the thermal system and around the radiation tolerance and shielding in order to make these chips work in space.
This is the Starcloud 1 satellite, so you can see here we’re just flying over Africa.
It takes about 90 minutes to orbit the globe once.
Starcloud 1 is not a data center — not yet.
It’s a single prototype in orbit.
The future that Starcloud imagines is tens of thousands of satellites, each carrying chips like this one, working together to do complex, large-scale computing in space — also known as “orbital compute.”
For many, the vision begins with a prompt from Earth, beamed into space through laser links.
The request is then processed by AI chips inside a satellite bus, which is powered by massive solar arrays stretching as much as four square kilometers.
Together, these satellites form a linked computing network that then sends results back to Earth in milliseconds.
Two years ago, when we first started talking about building data centers in space, people, you know, frankly thought we were a bit crazy.
And it does sound a little bit sci-fi.
But what sounds like sci-fi is a response to a very real problem.
On Earth, data centers require vast amounts of land, water and electricity.
And as the AI systems inside them grow more powerful, the heat they generate is becoming harder and costlier to contain.
In space, on the other hand, there are no land constraints or permitting battles, not to mention access to almost unlimited solar energy — if it can be made to work.
It’s still very much in development and theoretical at the moment.
There are certainly a lot of engineering challenges that will come with operating data centers in space.
The solar panels that are going to be needed for these data centers are going to be massive.
And we just don’t have the experience with operating solar panels of that size in space.
At Nanyang Technological University in Singapore, where the idea of an AI chip in space is also being tested, researchers are working on a solution for exactly that.
We need to be able to launch the solar panel in a small configuration so that when we reach space, we can deploy it to cover as much as possible of the area.
As part of Singapore’s Space Technology Development Programme, the university is testing a new type of solar cell that could do this.
Unlike most silicon-based solar panels, this one is made from a material called perovskite, which is cheaper, lighter and flexible enough to be rolled up for launch and unfurled in orbit.
It’s a chemical ink, coated onto a surface, then crystallized in a vacuum to become a solar cell.
But the challenges don’t stop there.
The panels will need to track the sun at all times to maximize absorption.
And with all those extra machines in space, it’s becoming far more crowded.
The team at NTU is testing a low-power propulsion system that could give small satellites the ability to adjust their orbit and avoid collisions.
Then comes the question of thermal management, with no air or water to carry away heat in the vacuum of space.
You want to make sure that they have a way to pull heat away from the computer, and so you’ll need radiators on your spacecraft as well.
It’s kind of a complicated dance of all of these different engineering marvels that you’ll need to perfect in order for them to work.
Every part of that dance depends on communication.
For this to really work, satellites will need to transmit enormous amounts of data across orbit and back to Earth.
Like Starcloud, Singaporean startup Transcelestial believes lasers, beamed from rooftop ground stations like this one, are the answer.
On Earth, 99% of the data that we send and receive goes through undersea cables.
However, in space, we don’t have that luxury.
So essentially, what we’re doing is using the same laser that we have inside a fiberoptic cable, taking it out and sending it through free space.
So that can go from one satellite to another satellite or, in other words, inter-satellite links.
Or we could also have them go from a satellite to the ground.
With over a thousand times more bandwidth compared to traditional radio frequency communication systems, laser links could become the connective tissue of an orbital internet.
When it comes to inter-satellite links, you’re basically connecting through vacuum.
There’s no air, there’s no rain, there’s no clouds, there’s no environment that can block your links.
So lasers are actually a very natural fit for inter-satellite links.
Transcelestial’s long-term vision is something they call The Ring — a constellation of approximately 40 satellites that are sitting around Earth’s equator.
As we grow and this technology becomes more and more accessible, I can imagine, at some point in the future, a lot of day-to-day users will be having their information sent and received via laser links to data centers in space, being processed there and getting their information back to the ground.
But perhaps the biggest obstacle of all, as it’s been since the dawn of global space exploration, is the cost of getting there.
Partially reusable rockets like SpaceX’s Falcon 9 have changed the economics of reaching orbit entirely.
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Liftoff of the Falcon 9.
SpaceX has really led the way in terms of bringing reusable rockets to the market with their Falcon 9 rocket, but it’s only a partially reusable rocket.
With Starship, they’re trying to move just a step further.
What SpaceX has been trying to achieve is a rocket that can go all the way to space, deploy satellites into orbit and then come back and land intact and need minimal refurbishing before it can launch again.
That can dramatically lower the cost of launch by potentially 50 or 100 times.
We see that breakeven cost to be around $500 a kilo.
The Starship launch vehicle, which is coming online over the coming years, is designed to reduce launch costs of between $10 to $20 a kilo.
In fact, SpaceX has plans to launch its own data centers in space.
The company has declared that they’re going to put up to a million satellites into space for this AI data center project.
But they’re not the only ones that are talking about this.
Blue Origin, which is helmed by Jeff Bezos, has also discussed making data centers.
Then you also have other space startups like Axiom Space, Relativity Space.
This is definitely something that has caught the attention of the space community.
Another player taking a different approach is China.
Its focus is more immediate: a precursor to space-based data centers known as edge computing — where satellite imagery, for example, is processed and filtered in orbit instead of sending all that raw data back to Earth.
China is taking the lead on that through the Three-Body Computing Constellation.
China has launched 12 satellites out of a planned 2,800.
Not only will these supercomputers have as much computing power as what you see on Earth, but in many ways, some estimates, 600 times more, once those 2,800 computing satellites are actually completed.
It is not a data center in space.
But it is a step towards one.
And unlike the US’s privately-led approach, China’s is already funded, mandated and written into national policy.
China is in a race with the US to sort of lead in AI.
AI is basically the future of not just technology but the future of the economy.
And China wants to be at the forefront of that.
What's more, experts say space-based data centers could, in theory, give militaries an edge in conflict, beyond the reach of physical and cyber attacks on Earth.
It’s all about self-sufficiency and technological self-reliance and national security.
The Chinese are actually moving incredibly rapidly.
And so it is extremely critical, if the US wants to be competitive, that they move fast on building large clusters of compute in space in order to be able to serve other satellites.
The stakes go beyond technology.
Experts say whoever builds this infrastructure first doesn’t just win a race, they may decide who controls the next internet.
Starcloud alone has filed with the FCC to put 88,000 satellites into orbit.
And operators from around the world have proposed millions more.
We’re really at the beginning of a golden age in the space industry.
People have realized, “OK, there are real, profitable businesses that are going to be built in space,” and that’s really drawn in a lot of this new interest.
Will we have a moment in the future where there will be no data centers on the ground at all?
I don’t think that’ll happen anytime soon.
But as we make progress in space technology, I think we’ll see more and more data centers slowly shifting into space.
We’re still at the very early days of a market that, to be honest, didn’t even exist a few years ago.
When you ask AI to answer a question, somewhere, a machine springs into action.
For now, that machine is on Earth.
The question is: for how much longer?
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