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Clivet Unveils Magnetic Levitation Cooling Tech for AI Data Centers

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Clivet Unveils Magnetic Levitation Cooling Tech for AI Data Centers

Santa Clara, Calif. – September 20, 2026 -- Clivet debuted its next-generation magnetic levitation compressor and a full data center cooling portfolio at AI Infra Summit 2026, targeting thermal management gaps created by rising AI computing densities.

Dual-rotor compressor design targets variable AI workload conditions

The new compressor uses a DUO POWER BOOST dual-rotor variable-speed architecture with two-stage compression. Two rotors and their impellers adjust speed independently to adapt to different flow rates and pressure ratios, factoring in data center load variations, water temperature conditions, and system operating strategies into cooling source design.

High-capacity CDU handles up to 5 MW of heat exchange

Clivet's high-capacity CDU, shown at the event, manages secondary-side heat exchange and distribution at capacities up to 3 MW at a 3K approach temperature difference or 5 MW at 5K ATD. Predictive temperature control holds fluctuations within ±0.5°C, and key components support online replacement to sustain continuous operation in high-availability environments.

Portfolio spans facility-side, liquid-cooling and outdoor heat rejection stages

The lineup includes magnetic levitation cooling sources, magnetic CDUs combining cooling source and liquid distribution functions, fan walls, and terminal units. The air-cooled magnetic levitation chiller addresses facility-side cooling, with configurations adjustable based on project climate conditions, rack density, and supply requirements.

Clivet and CLOU jointly showcase power-and-cooling coordination for AI workloads

CLOU contributed energy storage and power delivery capabilities, while Clivet supplied thermal management products for high-density computing environments. The companies presented the joint solution as a way for customers to assess relationships between power configuration, thermal design, space layout, and operations planning early in a project's design phase, ahead of engineering delivery.

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