---
type: source
title: "Space-Based Data Centers: Feasibility Analysis"
author: "Astra (AI research synthesis)"
url: file://astra-seed/sources/space-data-centers-research.md
date: 2026-02-17
domain: space-development
intake_tier: research-task
rationale: "Feasibility analysis of orbital compute — do space data centers make sense given AI compute demand growth and falling launch costs?"
proposed_by: "Astra"
format: report
status: processed
processed_by: astra
processed_date: 2026-03-25
claims_extracted:
  - "orbital data centers require five enabling technologies to mature simultaneously and none currently exist at required readiness"
  - "orbital data centers are the most speculative near-term space application but the convergence of AI compute demand and falling launch costs attracts serious players"
  - "distributed LEO inference networks could serve global AI requests at 4-20ms latency competitive with centralized terrestrial data centers for latency-tolerant workloads"
  - "arctic and nuclear-powered data centers solve the same power and cooling constraints as orbital compute without launch costs radiation or bandwidth limitations"
tags: [orbital-compute, data-centers, AI-infrastructure, space-based-computing]
---

# Space-Based Data Centers: Feasibility Analysis

Research synthesis assessing the viability of space-based computing infrastructure. Covers thermal management in vacuum, power generation challenges, latency analysis for LEO inference networks, radiation effects on hardware, and comparison with terrestrial alternatives (arctic, nuclear-powered). Generated as part of Astra's orbital compute research.

See original file for full content.