AI hardware buildout raises power-dense component demand
U.S. data-center AI expansion raises procurement urgency for power modules and control boards as rack power density exceeds legacy facility design limits.
What changed
Gartner forecast in July 2026 that AI server power consumption will surpass conventional data-center hardware by 2027, accelerating U.S. facility upgrades for power delivery and thermal management.
Hyperscale and colocation builders are issuing RFQs for higher-current power modules, busbar assemblies, and control boards rated for rack densities above 40 kW.
Products affected
Procurement maps to power modules, cabling and wiring assemblies, and control boards for high-density computing environments.
Components must pass thermal cycling and high-current reliability testing—suppliers without documented test data for 48 V and higher bus architectures face AVL rejection.
Buyer segments to prioritize
Target procurement teams at data-center equipment OEMs, power-system integrators, rack manufacturers, and electronics distributors serving AI infrastructure programs.
Facility engineering contractors specifying power distribution for new builds are early influencers before equipment lists reach formal RFQ.
Exporter action
Lead with thermal performance data, high-current reliability test reports, and documented production availability for 12–16 week lead-time items.
Submit UL-listed and IEC-compliant documentation before Q4 2026 facility commissioning windows—missing safety certification disqualifies components from hyperscale AVL lists.
Source context
Source: Gartner via Tom's Hardware, 18 July 2026. https://www.tomshardware.com/tech-industry/artificial-intelligence/ai-servers-will-consume-more-power-than-conventional-data-center-hardware-by-2027-gartner-forecasts
Key takeaways
- Gartner forecasts AI servers will exceed conventional data-center power draw by 2027, pulling forward power-delivery component orders.
- Data-center equipment OEMs and power-system integrators are the specification gatekeepers—not GPU vendors directly.
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