Heterogeneous space data centers enable future orbit and ground services
Heterogeneous Space Data Centers: A Key Paradigm for Future Non-Terrestrial and In-Orbit Services
Artificial Intelligence
Summary
Space data centers, which are like floating computer hubs in orbit, could soon help run important computing and communication tasks for satellites and aerial vehicles. The authors explore a new design using different sizes of computer nodes, balancing power and performance, to serve a variety of users on Earth and in space. They focus on placing these nodes in specific low-Earth orbits that optimize solar power and reduce delays. Their study also looks at energy needs and system reliability to guide future space-based AI infrastructure.
What this means in practice
- •For satellite network operators: Design and deploy space data centers with mixed-size nodes to improve communication and computing for satellite constellations.
- •For telecommunications infrastructure teams: Implement low-Earth orbit heterogeneous data centers to extend AI-powered communication services to remote and aerial users.
Authors
Peng Hu, Mustafa Alhassan, Amjad Iqbal
Abstract
Lower space-launch cost and advances in AI are driving space-based data centers (SDCs) that provide AI-centric computing and communication services to in-orbit and non-terrestrial assets. However, architectural principles, service models, and energy provisioning for such SDCs, particularly in low-Earth orbit (LEO), remain largely unexplored. We introduce heterogeneous SDCs composed of large and small nodes, differentiated by computing capability, size, and power budget, to support applications spanning ground, aerial, and in-orbit users. We define use cases, node sizing and placement strategies, and interconnection topologies integrating space-to-space and space-to-ground links. Focusing on dawn-dusk LEO configurations, we analyze solar power availability, visibility windows, and latency-aware coverage. Using baseline workloads for typical scenarios, we evaluate latency and service reliability. We quantify energy requirements of different SDC roles and deployment scales, highlighting trade-offs among node size, orbit selection, and service portfolio, and provide design guidance and future research directions for AI infrastructure in space.