The DOI matches its Crossref record.
The Convergence of Hyperscale Data Center and High-Performance Computing Networks
Abstract
We discuss the differences and commonalities between network technologies used in supercomputers and data centers and outline a path to convergence at multiple layers. We predict that emerging smart networking solutions will accelerate that convergence.
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Hyperscale data centers enable large-scale training of AI models by allowing high-speed interconnection of thousands of compute nodes as a single supercomputer.
“These large, monolithic concentrations of servers enable the large-scale training of AI models, since it allows the high-speed interconnection of thousands of compute nodes serving as a single supercomputer [51].”
From From Efficiency Gains to Rebound Effects: The Problem of Jevons' Paradox in AI's Polarized Environmental Debate (2025) · cites this paper as [51]
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Research works printed but not linked: 22
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Luccioni, A. S., Strubell, E., & Crawford, K. (2025) · Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency · doi:10.1145/3715275.3732007 · Cited by 71
“These large, monolithic concentrations of servers enable the large-scale training of AI models, since it allows the high-speed interconnection of thousands of compute nodes serving as a single supercomputer [51].”
Metadata
- Authors
- Hoefler, T., Hendel, A., & Roweth, D.
- ORCID
- Hoefler, Torsten
- Venue
- Computer
- Published
- 2022-07
- Volume
- 55
- Issue
- 7
- Pages
- 29-37
- ISSN
- 0018-9162 (ISSN-L)
- 1558-0814
- OpenAlex
- W4283709133
- Cited by
- 30
- References
- 0
- Citations by year
- 2026: 9 · 2025: 10 · 2024: 7 · 2023: 4
- FWCI
- 2.33
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Computer (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Interconnection Networks and Systems
- Physical Sciences › Computer Science › Computer Networks and Communications › Distributed and Parallel Computing Systems
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Keywords
- hyperscale data centers, high-performance computing networks, supercomputers, network architecture
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