AIMI uses deep reinforcement learning models and neural networks to optimize facility HVAC and IT systems resulting in lower Power Usage Effectiveness (PUE) values.
By optimizing HVAC set points, IT loads, and integrating fragmented facility systems, AIMI is able to reduce total energy load and save a data center up to 37% in annual CO2 emissions.
AIMI operates facility systems on autopilot, learning from the environment and dynamic conditions to improve efficiency, saving resources, time, and energy costs.
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FLUIX partners with Colo Solutions Data Center in Downtown Orlando to test AIMI.