Automated machine learning based controllers for optimized cooling of DC with power saving strategies and predictive maintenance of critical equipment.

The project

Modern data centers (DC) are under increasing pressure to reduce costs and improve operating efficiency. This can broadly be realized by: optimal HVAC control and maintenance; DC preventive maintenance - to reduce failure risk and downtime. Therml solution is a plug and play software, built to be hardware agnostic making it suitable for any system implementation. It is 30x faster than current solutions, enabling automation of cooling system control with optimum power saving strategies as well as calculation of performance deviations of existing infrastructure to predict failures.

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