Orbital Data Centers as an Extreme Response to AI’s Infrastructure Crunch
Wong et al. · 2026-04-10
Whitepaper introducing ODC.space, Atomic-6's on-demand marketplace for orbital data center capacity targeting AI developers, software providers, and government agencies. Positions orbital compute as a solution to rising terrestrial data center energy and siting constraints.
Wong et al.. 2026-04-10. Orbital Data Centers as an Extreme Response to AI’s Infrastructure Crunch. https://odc.space/wp-content/uploads/2026/04/ODC.Space-Whitepaper.pdf (AI & Environment Resource Hub; record paper-448; collection snapshot 2026-09-15).
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Included in the original Scientific Paper collection. Labels below are metadata based suggestions. They are not verified findings, claims of effectiveness, or endorsements.
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Shared topics: Cross-cutting sustainability; Governance and society; Energy and electricity; Land use, heat, and noise; Built environment and infrastructure
Rapid growth in artificial intelligence (AI) and cloud-based services has accelerated data center development, creating new pressures on electricity systems, water resources, land use, and local governance. Largely ignored by citizens and policymakers in the past, data centers are now highly visible, energy-intensive facilities whose siting and operation raise significant community and policy challenges.
Oxford Open Energy
Shared topics: Cross-cutting sustainability; Governance and society; Energy and electricity; Land use, heat, and noise; Built environment and infrastructure
In the Environmental Impacts of Data Centers 101 course, you will learn to analyze the environmental impacts of data centers using a life cycle assessment (LCA) perspective that goes beyond what you see in the news. This will include energy, water, land use, carbon emissions, global supply chains, e-waste concerns, ecological impacts, and environmental justice case studies. Whether you work in tech, sustainability, policy, or are just curious about how AI systems operate behind the scenes, this course gives you the clarity and frameworks to understand these impacts from end-to-end.
Nathaniel Burola
Shared topics: Cross-cutting sustainability; Governance and society; Energy and electricity; Land use, heat, and noise; Built environment and infrastructure
The National Academies hosted a two-day workshop bringing together experts from industry, utilities, and government to examine AI data centers' electricity usage, exploring its energy demands, mitigation strategies, regional siting considerations, and renewable resource availability.
Source metadata available
Shared topics: Cross-cutting sustainability; Governance and society; Energy and electricity; Land use, heat, and noise; Built environment and infrastructure
This paper discusses how state legislation is dismantling local planning authority over land use and environmental review to expedite AI and data center infrastructure, concentrating power in state agencies and corporations at the expense of democratic participation and environmental protection.
