HPE Tackles AI Ops R&D to Improve Energy Efficiency, Sustainability and Resiliency in Data Centers
Summary
SAN JOSE, Calif.--(BUSINESS WIRE)--Hewlett Packard Enterprise (HPE) announced today an AI Ops R&D collaboration with the U.S Department of Energy’s National Renewable Energy Laboratory (NREL) to develop Artificial Intelligence (AI) and Machine Learning (ML) technologies to automate and improve operational efficiency, including resiliency and energy usage, in data centers for the exascale era. HPE and NREL are using more than five years’ worth of historical data, which total more than 16 terabytes of data1, collected from sensors in NREL’s supercomputers, Peregrine and Eagle, and its facility, to train models for anomaly detection to predict and prevent issues before they occur. The AI Ops project sprung from HPE’s R&D efforts involved with PathForward, a program backed by the U.S. Department of Energy to accelerate the nation’s technology roadmap for exascale computing, which represents the next major leap in supercomputing. HPE realized a critical need to develop AI and automation capabilties to manage and optimize data center environments for the exascale era. “We’re excited to join HPE in this multi-year, multi-staged effort—and we hope to eventually build capabilities for an advanced smart facility after demonstrating these techniques in our existing data center.” The project will use open source software and libraries such as TensorFlow, NumPy and Sci-kit to develop machine learning algorithms.