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Overview
Orbital compute covers satellite-based data centers and AI inference/training systems operating in low Earth orbit (LEO). The core proposition: solar irradiance in LEO is roughly 5–8× more intense than at mid-latitude Earth surface, continuous (no night/weather loss in sun-synchronous orbits), and paired with vacuum-based passive heat rejection — potentially addressing the two binding constraints on terrestrial AI infrastructure (power availability and thermal density). Launch costs are the principal economic barrier; most analysis treats ~$200/kg to LEO as the threshold at which space-based compute becomes cost-competitive with terrestrial power costs on a per-kW-year basis.
As of early 2026, the sector spans early-stage startups (Starcloud’s first GPU satellite launched November 2025), research moonshots (Google’s Project Suncatcher targeting a 2027 prototype mission with Planet Labs), and large-scale ambitions (SpaceX FCC filings for up to one million orbital compute satellites). Lunar data storage is an adjacent niche covered under Lonestar Data Holdings.
Key Themes
- Launch cost trajectory is the critical gating factor: SpaceX learning-curve analysis projects <$200/kg to LEO by mid-2030s at ~180 Starship launches/year; current Falcon 9 pricing is ~$3,600/kg
- Solar power in LEO: up to 8× annual energy per panel vs. mid-latitude ground; no weather or day/night loss in dawn-dusk sun-synchronous orbit
- Vacuum thermal management: heat rejection via radiators in vacuum avoids the cooling water and energy overhead of terrestrial data centers (PUE = 1.0 in principle)
- Inter-satellite optical links: achieving ML cluster-class bandwidth (multi-Tbps) requires formation flying at <300 km separation — far tighter than any current constellation
- Radiation hardening: commercial GPU/TPU dies survive LEO radiation environments for 5-year mission lifetimes, though HBM memory is the most sensitive subsystem
- Regulatory environment: FCC spectrum and orbital slot filings are the near-term regulatory bottleneck; debris and orbital sustainability are emerging concerns at constellation scale
Companies
Startups & Development Partners
| Company | HQ | Stage | Mission |
|---|---|---|---|
| Starcloud | Redmond, WA, US | Series A ($170M, unicorn) | Builds and operates orbital data centers; first GPU satellite (H100) launched Nov 2025 |
| Aetherflux | US | Series A ($50M) | Space-based solar power + orbital data center; “Galactic Brain” constellation targeting Q1 2027 commercial ops |
| Lonestar Data Holdings | US | Early stage | Lunar and cislunar data storage; first payload flew on Intuitive Machines Athena mission Feb 2026 |
| Kepler Communications | Toronto, Canada | Growth | Space networking constellation; launched largest orbital compute cluster (40× NVIDIA Orin on 10 sats) in Jan 2026 |
Public Companies
| Ticker | Company | Mission |
|---|---|---|
| PL | Planet Labs | Earth observation; Google’s Project Suncatcher prototype partner for 2027 launch |
| SPCE | Virgin Galactic | Space tourism; tangential — included for completeness only |
Incumbents
| Ticker | Company | Relevance |
|---|---|---|
| GOOGL | Alphabet / Google | Project Suncatcher: TPU satellite constellation research moonshot; Planet Labs partnership for 2027 prototype |
| SPCE | SpaceX | FCC filing for up to 1M orbital compute satellites; Terafab D3 chip program targeting orbital AI; dominant launch provider |
| NVDA | NVIDIA | H100 and Blackwell chips deployed in space by Starcloud and Kepler; NVIDIA Space Computing initiative; Inception program partner |
Analysis
- Orbital Compute: First-Principles Economics — Energy physics (LEO solar, GPU thermal budgets), satellite build and launch cost models, technology gaps (ISLs, radiation hardening, HBM, manufacturing scale), and 10-year cost trajectory projections through 2036.