In a joint work with the Idatha team and with the support of Pyxis Research, we obtained the support of the IDB and ANII for the development of GuidAI, a tool that will allow us to identify opportunities for improving energy efficiency in data centers. This is a project with enormous potential: today, data centers consume about 2% of the world’s total energy.
The project benefits from the synergy between IDATHA’s experience in the application of neural networks to production processes and that of the team of researchers from the Faculty of Engineering in the mathematical modeling of physical processes and the development of research lines in artificial intelligence.
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Sebastián García, responsible for the execution of the project and CEO of IDATHA, explains that the tool will be based “on artificial intelligence methodologies (specifically neural networks) assisted by mathematical modeling of physical processes”. The objective? To control thermal dynamics and predict the evolution of temperature and relative humidity in a server room based on the system’s operating parameters and external environmental conditions.
Sebastian points out that energy consumption is one of the main components in the operating cost structure of a data center. Reducing PUE (Power Usage Effectiveness) is a strong indicator of energy efficiency and cost improvement.
Who benefits?
The tool is designed to benefit companies that have industrial server rooms (data centers) in verticals such as banking and financial services, education, energy, government and public sector, retail, among others. Also those who provide monitoring and control services to data centers.
“We aspire for GuidAI to reach the state of the art at an international level, innovating in the incorporation of synthetic data generated by mathematical modeling of physical processes into the neural network,” says Sebastián. Currently, there is no evidence of this type of services to local data centers at the national and regional level.
The project contributes to strengthen IDATHA’s capabilities in the development and application of artificial intelligence methodologies to monitoring, control, optimization and decision making in industrial processes, while generating specific business opportunities in the provision of services to data centers in the region.
