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Data Center World 2020

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Artificial Intelligence and Machine Learning - How They're Transforming Data Centers and How Intelligent Power and Machine Learning Go Hand in Hand

Paul Mott (Global Technical Product Manager, Raritan)

Location: 212A&B

Date: Tuesday, March 17

Time: 8:00am - 9:00am

Pass Type : All Access, Standard

Track : Data Center Planning for Innovation

Session Type: Session

Vault Recording: TBD

The growth of AI and Machine Learning in datacenters is placing new demands on power. As AI applications demand more power, power infrastructures will need AI’s help to optimize power chains and meet new demands. Today intelligent PDU platforms monitor and collect datacenter data that provide tremendous insights about power usage, phase imbalances, overloaded circuits, excess capacity, and the environment such as temperature, airflow, vibration, and water leaks. Because PDUs and sensors can capture so much data, the result is a data tsunami and infrastructure data overload. The current approach to dealing with the onslaught of data has been to feed data into traditional DCIM tools to understand what is happening in the data center. But beyond DCIM, there are opportunities to apply machine learning to optimize a datacenter. The type of AI in a datacenter would provide additional insights, analytics, and some greater sense of awareness in managing resources.