Skip to content

Data Centers in Space: From Moonshot to Industrial Mobilization

June 2026

Altman Solon is the largest global telecommunications, media, and technology consulting firm. In this insight, we analyze how orbital data centers could transform AI workloads, infrastructure, and the data center value chain. 

In the space of 10 days in March 2026, Elon Musk unveiled TeraFab, a $20-25 billion chip fabrication plant to produce radiation-hardened semiconductors for orbital data centers, and startup Starcloud closed a $170 million Series A at a $1.1 billion valuation, becoming the fastest unicorn in Y Combinator history. These announcements follow SpaceX’s January Federal Communications Commission (FCC) filing to deploy up to one million data center satellites, Google’s Project Suncatcher, and Blue Origin’s TeraWave.  

This recent shift from concept to active industrial mobilization reflects two main factors:

  1. Growing challenges with terrestrial data center (DC) expansion.
  2. Improving economics driven by the falling costs of space flight. 

At Altman Solon, our data center advisory practice works with clients across the value chain — from hyperscalers and colocation operators to power developers and private equity investors. Below is our perspective on what orbital compute entails, what is required for deployment at scale, and what it means for terrestrial data center strategy. 

The terrestrial breaking point

The push toward orbit is a response to very real constraints. Power interconnection queues in major data center hubs can now stretch up to seven years. EU data centers are projected to consume around 108 terawatt hours (TWh) by 2030, more than the Netherlands’ current total annual electricity consumption. Water-based cooling is driving scarcity and reputational risk. Community opposition has matured into a systematic scheduling risk. One of the industry’s biggest challenges lies in securing the land, power, water, and political license to deploy and operate facilities.

Furthermore, long-term global data center demand (measured in gigawatts) is likely to outpace supply, with power as the limiting factor. Orbital compute seeks to address this structural supply gap. 

What orbital data centers offer

 Orbital data centers are compute hardware hosted aboard satellites, typically in low Earth orbit (240–1,200 miles). The vision is not to transplant terrestrial hyperscale facilities directly into space, but to develop a modular, networked layer of compute satellites. Operating a data center in orbit provides several structural advantages:  

  • Unlimited low-cost energy: Near-continuous solar power with no grid dependency, no power purchase agreements, and up to 8 times the productivity per unit area versus terrestrial solar. 
  • Passive radiative cooling: No water or air required, resulting in low power usage effectiveness (PUE) and eliminating one of the most contentious operational challenges facing terrestrial operators. 
  • No land use or land permitting issues: Eliminates 5–15% of terrestrial CapEx and avoids multi-year zoning and community engagement processes. 
  • New use cases: In-orbit processing of satellite data, autonomous satellite operations, and in-space edge inference for applications where data originates in space.
  • Reduced carbon-impact: Space-DC startup Starcloud expects 10x carbon-dioxide savings over the life of a space DC compared to a terrestrial DC, including impact of the launch 

However, gating issues are equally clear:

  • Heat dissipation, a 3-megawatt IT load requires a football-field-sized radiator array 
  • Radiation damage to electronics 
  • Risk of space debris 
  • Near-impossibility of equipment repair in orbit 
  • Power fluctuations during periods spent in Earth’s shadow 

Each challenge can be addressed, but requires adding mass – for example, radiation shielding or battery back-up power, which results in more required launches and higher costs. This mass-cost spiral is the central engineering tension. 

The economics: $200/kg is the critical threshold

The economic viability of space data centers depends on a set of assumptions that must hold simultaneously: 

  • Launch costs must fall to ~$200/kg or less. Over the past 30 years, there has been major progress here, launch costs falling by twenty to thirtyfold. Current rates range from ~$3,000/kg (Falcon 9) to $10,000–20,000/kg (legacy rockets), and they are continuing to trend downward. SpaceX’s Starship targets sub-$100/kg at scale. Google independently identifies ~$200/kg as the parity threshold.

  • The space DC “shell” (solar panels, radiators, shielding) must be lightweight, roughly 20,000 kg/MW or less. 

Chips in orbit can be operated until true physical end-of-life, avoiding the premature refresh cycles common in terrestrial facilities.

Launch economics could also be cross-subsidized by piggybacking on other space infrastructure, such as Starlink’s growing constellation deployment, treating compute as a marginal addition rather than a standalone launch cost. 

Key finding: SpaceX’s potential ability to treat orbital data centers at least partially as a marginal addition to its existing Starlink program (combined with TeraFab’s promise of in-house chip production) creates a vertically integrated cost structure (chips, rockets, satellites, networking, captive AI demand) that would be unique among players in the industry.  

Workloads that move to orbit first

Orbital compute is emerging as a new infrastructure tier; not a replacement for terrestrial data centers, but an addition. The workloads that migrate first are those where orbit’s advantages most clearly outweigh its constraints: 

  • In-orbit edge compute: Processing satellite data in space, for earth observation and surveillance, and downlinking only actionable insights. Starcloud ran AI training and inference on an H100 GPU in orbit in November 2025, demonstrating a commercial proof of concept. 
  • Resilience and sovereign storage: Off-planet archives that are architecturally independent of any terrestrial geography. A genuinely novel layer of continuity protection. 
  • Latency-tolerant batch AI: Longer-term, if sufficient scale is achieved, AI training runs and simulations that tolerate higher latency in exchange for continuous solar energy and no power queue could be feasible.

What this means for the value chain

Orbital compute is emerging as a new infrastructure tier; not a replacement for terrestrial data centers, but an addition. The workloads that migrate first are those where orbit’s advantages most clearly outweigh its constraints:

  • Hyperscalers: Google’s Suncatcher signals that hyperscalers may treat space-based capacity as a future cloud availability zone once the technology and economics are ready for deployments at scale. Companies without an orbital strategy risk ceding differentiated workloads to vertically integrated players.
  • Colocation operators and developers: If orbital compute absorbs even modest incremental AI training demand, it could ease power pressure in constrained markets, benefiting terrestrial operators. But long-term capacity plans should stress-test against partial demand migration.
  • Power developers and utilities: Orbital data centers bypass the grid entirely. At scale, they represent a ceiling on the demand growth trajectory underpinning current power infrastructure investment cases.
  • Component suppliers: The orbital supply chain creates new demand for radiation-hardened processors, thermal management systems, optical communications, and satellite manufacturing at an unprecedented scale.
  • Private equity and infrastructure investors: Investors performing due diligence on terrestrial DC assets should start considering space-based facilities as a long-term disruptive threat. Conversely, the emerging space-compute value chain may start to present early-stage investment opportunities.

Possible timeline

  • 2026–2027: Starlink V3 launches with enhanced compute. Google/Planet Suncatcher prototypes. Starcloud-2 runs commercial workloads with Nvidia Blackwell.
  • 2027–2029: Pilot commercial services for defense, satellite operators, and early-adopter cloud workloads.
  • 2029–2035: At $200–$500/kg launch costs, first potentially commercially viable orbital compute.
  • 2035+: If launch costs below $200/kg can be achieved, orbital compute could compete with terrestrial facilities for broader workloads and could start to have affect terrestrial demand projections.

Key finding: The key uncertainty is not technical feasibility — that has been demonstrated at least at small scale. It is launch economics and increasing scale. If Starship continues the historical trend of launch cost reduction and delivers on its cost targets, the timeline accelerates. If not, orbital compute remains a defense and space-data niche. Either way, the implications are material enough to warrant consideration today.  

How Altman Solon can help

Altman Solon's data center advisory practice supports clients across the value chain on the strategic and commercial questions raised by the wider DC ecosystem and now orbital compute.

Our relevant capabilities include:  

  • Due diligence with an orbital lens: Integrating space-based competitive dynamics into our commercial due diligence on terrestrial data center assets — stress-testing demand assumptions, power dependency risk, and long-term competitive positioning against a scenario where orbital compute absorbs a share of incremental AI workloads.
  • Orbital compute market entry and positioning: For technology companies, satellite operators, and component suppliers exploring the emerging space-compute value chain, we help define addressable market sizing, competitive positioning, partnership strategy, and go-to-market sequencing.
  • Value chain opportunity mapping: For component manufacturers and equipment suppliers, we identify where orbital data centers create new demand pools — from radiation-hardened semiconductors and thermal management systems to optical communications and satellite manufacturing. We also help clients position against these emerging opportunities.
  • Investor landscape and target screening: For investors seeking early-stage exposure to the space-compute value chain, we provide landscape mapping, target identification, and commercial assessment of startups and growth-stage companies across satellite manufacturing, launch services, in-orbit compute, and ground station infrastructure.

Insights

Insights | May 2026

Enterprise Connectivity: Key Success Factors for Growth and Opportunities

Insights | May 2026

What’s Next After 5G: How AI May Unlock New Applications and Innovation

Insights | May 2026

Q‑Day Is a Leadership Risk: Why Post‑Quantum Cryptography  Can’t Wait 

Telecommunications, media, and technology strategy consulting firm

Bring clarity to your next move in TMT.