Table of Contents
Introduction
Space Data Centers are becoming one of the most ambitious ideas in modern technology. Instead of building massive server farms on Earth, companies are exploring the idea of placing computing infrastructure in orbit where solar energy is constant and cooling is naturally available.
A surprising name in this emerging field is former e-scooter entrepreneur Euwyn Poon, who raised $5 million to build a startup focused on Space Data Centers. His company, Orbital, is betting that AI computing will eventually move beyond Earth.
The rise of Space Data Centers shows how investor thinking has shifted due to the rapid growth of artificial intelligence and advancements in space launch technology.
From E-Scooters to Space Data Centers
Poon is best known as the founder of Spin, the e-scooter company launched in 2017 and later acquired by Ford Motor Company. After working within the automotive giant, he began exploring new entrepreneurial opportunities.
According to reports from TechCrunch, Poon experimented with several ideas before eventually identifying a major opportunity at the intersection of artificial intelligence and aerospace.
His journey into the industry was unconventional. After leaving Ford, Poon purchased an Nvidia A100 GPU and deployed it in a California data center to gain firsthand experience serving AI models. That experiment convinced him that computing power would become one of the world’s most valuable resources.
The challenge was finding a scalable way to provide it.
Why Space Data Centers Are Gaining Attention
Demand for AI computing continues to surge as businesses adopt increasingly sophisticated machine learning models. Traditional data centers, however, face significant limitations.
Building facilities on Earth often requires lengthy approval processes, massive energy supplies, and substantial cooling infrastructure. Environmental concerns have also intensified scrutiny around large-scale computing operations.
Space offers a radically different proposition.
Satellites operating in orbit could theoretically benefit from abundant solar energy while avoiding many terrestrial constraints. Proponents argue that space data centers could eventually provide enormous computing capacity without placing additional strain on Earth’s power grids.
The primary obstacle remains cost.
Launching heavy computing equipment into orbit is currently expensive enough to undermine the economic viability of these projects.
Betting on SpaceX’s Starship
Orbital’s strategy depends heavily on future developments at SpaceX.
Poon believes that the commercialization of the company’s Starship rocket could fundamentally transform the economics of space-based infrastructure.
According to Poon, existing launch options such as Falcon 9 remain too costly for deploying full-scale orbital data centers.
If Starship succeeds in delivering dramatically lower launch costs through full reusability, entirely new industries could emerge.
Orbital intends to capitalize on that opportunity.
A Roadmap Toward Orbital Computing
While waiting for Starship’s commercial readiness, Orbital plans to take incremental steps.
The company’s first objective is to conduct a demonstration mission involving an Nvidia Blackwell chip aboard a partner satellite. The test will evaluate Orbital’s radiation shielding and thermal management technologies, two critical challenges for operating advanced computing systems in space.
If successful, Orbital hopes to launch its first dedicated computing spacecraft by 2028.
These satellites would utilize Nvidia’s Space-1 Vera Rubin-class GPUs, enabling the company to perform AI inference tasks directly from orbit.
Rather than waiting until a massive constellation is complete, Orbital plans to generate revenue gradually by processing smaller workloads as each satellite becomes operational.
This phased approach could help reduce financial risk while validating the underlying technology.
Competition Is Already Intensifying
Orbital is not alone in pursuing this vision.
Companies such as Starcloud have already placed GPU technology into orbit and plan to expand their capabilities over time. Other startups are exploring different architectures, power systems, and launch strategies.
Some organizations are unwilling to wait for Starship altogether.
Blue Origin, founded by Jeff Bezos, has announced ambitions involving space-based computing infrastructure supported by its New Glenn launch vehicle.
Meanwhile, emerging companies continue exploring alternative methods for achieving cost-effective orbital deployment.
The growing number of participants demonstrates increasing confidence that the market opportunity could be substantial.
Investors Are Thinking Differently About Space
Perhaps the most remarkable aspect of Orbital’s story is not the technology itself but the willingness of investors to support it.
Orbital emerged from Andreessen Horowitz (a16z)‘s startup accelerator Speedrun and secured backing from numerous venture firms.
Just a decade ago, convincing investors to fund a project involving orbital data centers might have seemed impossible.
The success of companies like SpaceX has fundamentally altered perceptions of what is achievable in the commercial space sector.
Andrew Chen, a partner at a16z, suggested that founders with exceptional execution skills are increasingly being trusted to tackle ambitious industries, even if they lack direct sector experience.
Poon’s track record scaling Spin across approximately 100 cities and deploying hundreds of thousands of scooters provided evidence that he could manage complex operational challenges.
The Long-Term Vision
Orbital’s ultimate ambition is extraordinary.
The company hopes to deploy 10,000 satellites, collectively delivering a distributed gigawatt of computing capacity. Each spacecraft would generate approximately 100 kilowatts of power dedicated to AI processing.
If realized, such a network could redefine the future of cloud computing.
However, achieving that vision would require years of development, billions of dollars in investment, and major advances in launch economics.
Poon acknowledges the scale of the challenge but believes that demand for AI computing is large enough to support multiple winners.
Different companies may specialize in distinct workloads, spacecraft designs, or infrastructure models.
In his view, the opportunity is broad enough for an entire ecosystem to emerge.
What This Means for the Future
The story of Orbital illustrates how rapidly technological frontiers are evolving.
An entrepreneur who previously transformed urban transportation is now attempting to reshape global computing infrastructure from space.
Whether Orbital ultimately succeeds remains uncertain.
Yet the fact that investors are willing to fund such ventures demonstrates a profound change in how markets perceive both artificial intelligence and commercial space exploration.
The next generation of data centers may not be built beside rivers or power plants.
They might orbit hundreds of kilometers above Earth, powered by sunlight and connected to the expanding AI economy below.
As the commercial space industry matures and launch costs continue to decline, ideas once dismissed as science fiction are increasingly becoming serious business propositions.
Orbital’s $5 million seed round may represent just the beginning of that transformation.
