Ferveret Presents Waterless Cooling Concept for AI Data Centers
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Ferveret has outlined Adaptive Phase Cooling (APC), a waterless cooling system in development for AI data centers. The company describes APC as a modular, rack-form-factor platform designed for deployment in existing data center infrastructure without facility redesign.
- Ferveret is developing APC, a waterless cooling technology for AI data centers.
- The company describes APC as a modular, rack-form-factor system for integration into existing facilities.
- APC is said to use heat-transfer principles associated with nuclear reactor technologies.
- No independently validated technical, commercial, pilot, or deployment metrics were disclosed.
In an interview published by Pulse 2.0, Ferveret co-founder and CEO Reza Azizian described the company’s Adaptive Phase Cooling (APC) technology, which is being developed to manage the growing thermal load associated with high-performance AI processors.
Ferveret characterizes APC as a waterless cooling system drawing on heat-transfer principles associated with nuclear reactor technologies. Its flagship product is described as a modular, rack-form-factor cooling system intended to integrate with existing data center infrastructure without requiring a redesign of the facility.
The company says the technology is intended to address AI thermal-management requirements while reducing energy consumption and simplifying data center operations. This positioning targets a central constraint for existing sites seeking to accommodate denser AI compute deployments: adding cooling capacity without undertaking a full rebuild of the data hall or broader facility infrastructure.
The available material does not provide performance data for APC, including cooling capacity, supported rack density, PUE or WUE, energy-saving performance, or cost. It also provides no confirmed information on pilot scale, customers, operating locations, commercial deployments, manufacturing scale, contracted projects, or commercial availability.
As a result, Ferveret’s competitive position cannot yet be assessed from the disclosed information. The broader direction is nevertheless consistent with demand for specialized AI cooling equipment that can be deployed within installed data center halls and rack environments.
Rising heat loads from high-performance AI processors are increasing demand for cooling systems that can support retrofit deployments rather than full facility reconstruction. If validated in live deployments, Ferveret’s modular waterless approach could be relevant to operators upgrading existing data centers for AI workloads.
- — / 19 октября 2026 г. · АнглийскийПервоисточник →
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