Key Takeaway
Crusoe, co-founded by Cully Cavness, emphasizes the importance of space for future computing, particularly for AI infrastructure, by sourcing clean energy. The company specializes in co-locating computing with novel energy sources and is partnering with Starcloud to extend this approach to outer space. Their strategy aims to create sustainable data infrastructure to meet growing AI demands. Starcloud’s orbital data center will utilize satellite-based computing, solar power, and advanced cooling technology, eliminating reliance on terrestrial systems. Scheduled for a 2026 launch, the satellite will enable customers to run AI workloads directly from orbit, supporting both inference and training tasks.
“At Crusoe, we believe that space will ultimately play a crucial role in the future of computing, as it provides innovative solutions to a significant scaling challenge for AI infrastructure: sourcing abundant, consistent, and clean energy,” states Cully Cavness, Co-Founder, President, and COO of Crusoe.
“Since our inception, Crusoe has focused on co-locating computing infrastructure with novel energy sources.
“By collaborating with Starcloud, we aim to extend our energy-first approach from Earth to the next frontier: outer space.”
This energy-centric strategy embodies Crusoe’s broader mission to create sustainable data infrastructure that can meet the rapidly growing global demand for AI computing.
Operating in orbit allows the company to completely eliminate dependence on terrestrial grid systems, utilizing solar power generated directly by orbital arrays to ensure continuous performance.
Starcloud’s orbital data centre design
Starcloud’s orbital data centre platform integrates satellite-based computing with solar generation, high-performance processors, and onboard cooling technology.
By eliminating the need for physical land, conventional cooling, and grid infrastructure, the system provides a stable and scalable environment for advanced computing operations.
The satellite, set to launch in 2026, will include a dedicated Crusoe Cloud module, enabling customers to run AI workloads directly from orbit.
Starcloud asserts that the platform is designed to accommodate both inference and training workloads for AI models that demand high throughput with minimal environmental impact.








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