Roadmap
Space Compute Roadmap
My exploration of AI, data centers, and computing infrastructure in orbit.
| Order | Field | Learn About (Concepts) | Learn By Doing (Hands-on Projects) | Best Free Resources |
|---|---|---|---|---|
| 1 | Space Compute Basics | Why put compute in space, solar power, latency, and radiation challenges | Read the core concept papers | NVIDIA Space Computing Announcement (2026) |
| 2 | Orbital Data Centers | Satellite-based data centers, power, cooling, and bandwidth | Explore current prototypes and timelines | Google Project Suncatcher (2025) |
| 3 | Radiation & Hardware Challenges | Radiation-hardened chips, thermal management, and orbital dynamics | Review hardware specs of space GPUs/TPUs | IEEE Spectrum – Orbital Data Centers Explained |
| 4 | AI on Satellites | Edge AI, real-time inference, geospatial intelligence | Explore satellite AI use cases | ABI Research – AI in LEO Networks (2026) |
| 5 | Space Coding & Data Processing | Python tools for orbital simulations and space data analysis | Run basic orbital compute simulations | Poliastro (orbital mechanics in Python) |
| 6 | Future Vision & Risks | Scalability, cost, energy, and regulatory challenges of space compute | Compare space vs ground data-center economics | New Atlas – Space-Based Data Centers Explained (2026) |
Disclaimer: This learning path links to third-party websites and free resources. I do not own or control these external sites. Content and availability may change over time. Use at your own risk.