When Wires Can't Keep Up: Reconfigurable AI Data Centers Empowered by Terahertz Wireless Communications
Chong Han, Mingjie Zhu, Wenqi Zhao, Ziming Yu, Guolong Huang, Guangjian Wang, Wen Tong, Wenjun Zhang

TL;DR
This paper proposes a Terahertz wireless communication framework for AI data centers, aiming to overcome wired interconnect limitations with ultra-high capacity, low latency, and energy efficiency, enabling flexible and scalable architectures.
Contribution
It introduces a comprehensive vision and technical roadmap for THz wireless data center interconnects, including enabling technologies and performance analysis.
Findings
THz links can achieve up to 1 Tbps per link and 10 Tbps aggregate throughput.
THz wireless links can provide sub-50 ns latency and sub-10 pJ/bit energy efficiency over 20 meters.
Numerical analysis shows THz can outperform optical and copper interconnects in specific distance and throughput domains.
Abstract
The explosive growth of artificial intelligence (AI) workloads in modern data centers demands a radical transformation of interconnect architectures. Traditional copper and optical wiring face fundamental challenges in latency, power consumption, and rigidity, constraining the scalability of distributed AI clusters. This article introduces a vision for Terahertz (THz) Wireless Data Center (THz-WDC) that combines ultra-broadband capacity, one-hop low-latency communication, and energy efficiency in the short-to-medium range (1-100m). Performance and technical requirements are first articulated, including up to 1 Tbps per link, aggregate throughput up to 10 Tbps via spatial multiplexing, sub-50 ns single-hop latency, and sub-10 pJ/bit energy efficiency over 20m. To achieve these ambitious goals, key enabling technologies are explored, including digital-twin-based orchestration,…
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Taxonomy
TopicsMillimeter-Wave Propagation and Modeling · Ferroelectric and Negative Capacitance Devices · Molecular Communication and Nanonetworks
