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Nuclear fusion for AI: A pathway to power data centers sustainably — arXiv:2608.10454

Source: arXiv (en)
Original: https://arxiv.org/abs/2608.10454
License (as archived): CC0-1.0
Archived: 2026-10-19T06:48:17.381Z
SHA-256 of the archived text: ea203f2344ee577aa7cbdf50b318c0f0977e7943bdee4445efbe124d9a94adb5
Stable URL of this page: https://metraipolis.com/documento/dc_24dcc375ef2f

How to cite

Nuclear fusion for AI: A pathway to power data centers sustainably — arXiv:2608.10454 — arXiv (en), https://arxiv.org/abs/2608.10454 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_24dcc375ef2f (Metraipolis archive dc_24dcc375ef2f, sha256 ea203f2344ee577aa7cbdf50b318c0f0977e7943bdee4445efbe124d9a94adb5)

BibTeX

@misc{dc24dcc375ef2f,
  title = {Nuclear fusion for AI: A pathway to power data centers sustainably — arXiv:2608.10454},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2608.10454},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_24dcc375ef2f; sha256 ea203f2344ee577aa7cbdf50b318c0f0977e7943bdee4445efbe124d9a94adb5},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2608.10454. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

This perspective examines whether nuclear fusion can provide a scalable, low-carbon power source for rapidly growing AI-driven data center demand. As large language models, cloud computing, and cryptocurrency mining accelerate electricity consumption growth, data centers are projected to account for a substantially larger share of U.S. and global electricity use in the coming decades, creating significant pressure on grid reliability and decarbonization goals. We evaluate the technical and economic alignment between data center load profiles and nuclear power, particularly fusion, through a comparative analysis of capacity factors, levelized cost of electricity, grid interconnection constraints, and deployment pathways. Unlike intermittent renewables, nuclear fission and fusion offer high-capacity-factor, firm baseload generation suited to AI training and inference workloads that require continuous, reliable power. Preliminary techno-economic analysis suggests that several Nth-of-a-kind fusion concepts, particularly magnetic confinement systems, may become cost-competitive with firmed renewable systems and advanced fission for hyperscale data center applications. Co-location of fusion plants with data centers further reduces transmission bottlenecks, improves resilience, and aligns with emerging hyperscaler procurement strategies. We also assess recent regulatory developments and argue that fusion's favorable safety profile and reduced waste burden improve its long-term social and political viability relative to fission. We conclude that fusion represents a strategically important pathway for sustainably powering next-generation computing infrastructure and should be prioritized in both policy and industrial deployment planning.

Tema degli esploratori: calcolo e infrastrutture (retro-catalogo arXiv: annunci del 2026-08-12 in eess.SY).
Categorie arXiv: Systems and Control (eess.SY).
Pagina del lavoro: https://arxiv.org/abs/2608.10454 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-19T06:41:52.234Z dalla pagina https://arxiv.org/catchup/eess.SY/2026-08-12?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).