Towards a future space-based, highly scalable AI infrastructure system design
Computer Science > Distributed, Parallel, and Cluster Computing arXiv:2511.19468 (cs) [Submitted on 22 Nov 2025 (v1), last revised 17 Jun 2026 (this version, v2)] Title:Towards a future space-based, highly scalable AI infrastructure system design Authors:Blaise Agüera y Arcas, Travis Beals, Maria Biggs, Jessica V. The Sun is by far the largest energy source in our solar system, and thus it warrants consideration how future AI infrastructure could most efficiently tap into that power. This work explores a scalable compute system for machine learning in space, using fleets of satellites equipped with solar arrays, inter-satellite links using free-space optics, and Google tensor processing unit (TPU) accelerator chips.
- ▪Computer Science > Distributed, Parallel, and Cluster Computing arXiv:2511.19468 (cs) [Submitted on 22 Nov 2025 (v1), last revised 17 Jun 2026 (this version, v2)] Title:Towards a future space-based, highly scalable AI infrastructure system
- ▪The Sun is by far the largest energy source in our solar system, and thus it warrants consideration how future AI infrastructure could most efficiently tap into that power.
- ▪This work explores a scalable compute system for machine learning in space, using fleets of satellites equipped with solar arrays, inter-satellite links using free-space optics, and Google tensor processing unit (TPU) accelerator chips.
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| Original publisher | arXiv.org |
| Canonical URL | https://arxiv.org/abs/2511.19468 |
| Publication time | Thu, 24 Sep 2026 15:23:01 +0000 |
| Retrieval time | 2026-09-24T15:35:26.120Z |
| Last seen | 2026-09-24T15:35:26.120Z |
| Headline source | Publisher (no WeSearch rewrite) |
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| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | SOCxH2j3Fcs0 · 1 stories |
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| Publisher visit | Yes — open original |
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| Commercial reuse | May the content be reused commercially? | Not permitted |
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Computer Science > Distributed, Parallel, and Cluster Computing arXiv:2511.19468 (cs) [Submitted on 22 Nov 2025 (v1), last revised 17 Jun 2026 (this version, v2)] Title:Towards a future space-based, highly scalable AI infrastructure system design Authors:Blaise Agüera y Arcas, Travis Beals, Maria Biggs, Jessica V. Bloom, Thomas Fischbacher, Konstantin Gromov, Urs Köster, Rishiraj Pravahan, James Manyika View a PDF of the paper titled Towards a future space-based, highly scalable AI infrastructure system design, by Blaise Ag\"uera y Arcas and 8 other authors View PDF HTML (experimental) Abstract:If AI is a foundational general-purpose technology, we should anticipate that demand for AI compute -- and energy -- will continue to grow.
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