The Hidden Cooling Waste Inside Data Centers

Описание: This CRAC unit was running near full capacity during normal operation. In data centers this is called overcooling.

The problem: traditional HVAC controls often react to one return air temperature setpoint instead of understanding the full data center environment. Such as awareness of the IT/server load to ramp cooling to appropriate levels

A.I.M.I.®, our AI model, reads from multiple sensors, equipment states, and energy meters to build a more complete view of the facility. Orchestrating cooling awareness with IT load.

Then it adjusts cooling in real time, autonomously. A data center might have hundreds of equipment, with thousands of read/control points. Given the volatility of AI workloads, this creates an ever changing environment with more than a billion possibilities. An intelligent and autonomous AI like A.I.M.I.® can orchestrate equipment, predict the next state, and control equipment like cooling to squeeze efficiency and energy savings in every opportunity.

In FLUIX's lab, when AIMI took control of a CRAC unit, the unit ramped down and showed a 52% energy reduction compared to previously operating in an overcooled status.

Less overcooling.

More intelligence.

Same equipment.

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