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标题: "Nuclear fusion for AI: A pathway to power data centers sustainably"
原文链接: "https://arxiv.org/abs/2608.10454"
发布日期: "2026-08-11"
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## Electrical Engineering and Systems Science > Systems and Control

## Title:Nuclear fusion for AI: A pathway to power data centers sustainably

Authors:[Layla Araiinejad](https://arxiv.org/search/eess?searchtype=author&query=Araiinejad,+L), [Vineet Jagadeesan Nair](https://arxiv.org/search/eess?searchtype=author&query=Nair,+V+J)

[View PDF](https://arxiv.org/pdf/2608.10454)

> Abstract: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.

| Comments: |  |
| --- | --- |
| Subjects: | Systems and Control (eess.SY) |
| Cite as: | [arXiv:2608.10454](https://arxiv.org/abs/2608.10454) \[eess.SY\] |
|  | (or [arXiv:2608.10454v1](https://arxiv.org/abs/2608.10454v1) \[eess.SY\] for this version) |
|  | [https://doi.org/10.48550/arXiv.2608.10454](https://doi.org/10.48550/arXiv.2608.10454) |

## Submission history

From: Vineet Jagadeesan Nair \[[view email](https://arxiv.org/show-email/a0075a66/2608.10454)\]  
**\[v1\]** Tue, 11 Aug 2026 04:10:10 UTC (1,211 KB)

[Which authors of this paper are endorsers?](https://arxiv.org/auth/show-endorsers/2608.10454) | Disable MathJax ([What is MathJax?](https://info.arxiv.org/help/mathjax.html))
