HPE Tackles AI Ops R&D to Improve Energy Efficiency, Sustainability and Resiliency in Data Centers
21 Noviembre 2019 - 05:58PM
Business Wire
Multi-year collaboration with U.S. DOE's National Renewable
Energy Laboratory will optimize power, cooling and IT operations
for smarter and greener data centers for the exascale era
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. The effort
is part of NREL’s ongoing mission as a world leader in advancing
energy efficiency and renewable energy technologies to create and
implement new approaches that reduce energy consumption and lower
operating costs.
The project is part of a three year collaboration that
introduces monitoring and predictive analytics to power and cooling
systems in NREL’s Energy Systems Integration Facility (ESIF) HPC
Data Center.
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 collaboration will also address future water and energy
consumption in data centers, that in the U.S. alone will reach
approximately 73 billion kWh and 174 billion gallons of water by
2020.2 HPE and NREL will focus on monitoring energy usage to
optimize energy efficiency and sustainability as measured by key
metrics such as Power Usage Effectiveness (PUE), Water Usage
Effectiveness (WUE), and Carbon Usage Effectiveness (CUE).
Early results based on models trained with historical data have
successfully predicted or identified events that previously
occurred in NREL’s data center, demonstrating the promise of using
predictive analytics in future data centers.
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. Applying AI-driven operations to an exascale
supercomputer - which will run at a speed that will represent a
thousandfold increase over today’s systems - will enable
energy-efficient operations, and increase resiliency and
reliability through smart and automated capabilities.
“We are passionate about architecting new technologies that are
impactful to powering the next era of innovation with exascale
computing and its extent of operational needs,” said Mike
Vildibill, vice president of Advanced Technologies Group, HPE. “We
believe our journey to develop and test AI Ops with NREL, one of
our longstanding and innovative partners, will allow the industry
to build and maintain smarter and more efficient supercomputing
data centers as they continue to scale power and performance.”
“Our research collaboration will span the areas of data
management, data analytics, and AI/ML optimization for both manual
and autonomous intervention in data center operations,” said
Kristin Munch, manager for Data, Analysis and Visualization Group,
National Renewable Energry Laboratory (NREL). “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. The project will focus on the following key areas:
- Monitoring: Collect, process and analyze vast volumes of
IT and facility telemetry from disparate sources before applying
algorithms to data in real-time
- Analytics: Big data analytics and machine learning will
be used to analyze data from various tools and devices spanning the
data center facility
- Control: Algorithms will be applied to enable
machines to solve issues autonomously as well as intelligently
automate repetitive tasks and perform predictive maintenance on
both the IT and the datacenter facility
- Datacenter operations: AI Ops will evolve to
become a validation tool for continuous integration (CI) and
continuous deployment (CD) for core IT functions that span the
modern datacenter facility
HPE plans to demonstrate additional capabilities in the future
with the enhancement of the HPE High Performance Cluster Management
(HPCM) system to provide complete provisioning, management, and
monitoring for clusters scaling to 100,000 nodes at a faster rate.
Other testing plans include exploring integration of HPE InfoSight,
a cloud-based AI-driven management tool that monitors, collects and
analyzes data on IT infrastructure. HPE InfoSight is used to
predict and prevent probable events to maintain the overall health
of server performance.
The solution will be showcased at HPE booth 1325 at
Supercomputing 2019 (SC 19) in Denver, Colorado.
About Hewlett Packard Enterprise
Hewlett Packard Enterprise is the global edge-to-cloud
platform-as-a-service company that helps organizations accelerate
outcomes by unlocking value from all of their data, everywhere.
Built on decades of reimagining the future and innovating to
advance the way we live and work, HPE delivers unique, open and
intelligent technology solutions, with a consistent experience
across all clouds and edges, to help customers develop new business
models, engage in new ways, and increase operational performance.
For more information, visit: www.hpe.com.
- NREL supercomputers combined sensor data comprised of 1.6
billion datapoints
- Berkeley Lab’s Energy Technology Areas: United States Data
Center Energy Usage Report (2016):
https://eta.lbl.gov/publications/united-states-data-center-energy
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version on businesswire.com: https://www.businesswire.com/news/home/20191121006044/en/
Editorial contact:
Nahren Khizeran, HPE Nahren.khizeran@hpe.com
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