This episode examines low-frequency noise from data centers in urban artificial intelligence factory deployments and presents technical and regulatory strategies for mitigation. The discussion addresses impacts on AI infrastructure, community opposition, and site-specific acoustic design considerations. Duncan Abbot of Zenbul explains the company’s approach to low-frequency noise mitigation for urban data centers. Abbot describes how AI-designed metamaterials inform targeted resonators, duct assemblies and coordinated barrier design tuned to specific sites. They emphasize measurable outcomes and the technical necessity of addressing low-frequency tones that penetrate conventional barriers. Abbot outlines site-specific service-level agreements backed by third-party property-line monitoring, tiered remediation timelines and a funding model that combines upfront fabrication fees with multi-year service payments. They highlight legal and not-in-my-backyard risks that can slow projects and stress proactive mitigation over reactive fixes. theCUBE's John Furrier and Dave Vellante host the conversation, recorded for NYSE Wired's AI Factories — Data Centers of the Future series.
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Duncan Abbot, Zenbul Labs
August 6, 2026
In this interview from theCUBE + NYSE Wired: AI Factories - Data Centers of the Future, Duncan Abbot, CEO and founder of Zenbul Labs, joins theCUBE's John Furrier to discuss how low-frequency noise from data center cooling systems has become a critical bottleneck for AI infrastructure buildouts. Abbot explains how the hums produced by cooling fans cut through walls and concrete, reaching nearby homes and fueling NIMBY resistance. He notes that this year alone, more than $150 billion in data center projects have been slowed or canceled amid community pushback,... Read more
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