IEEE Electrification - December 2022 - 7

Data Center
Cloud
1) Access AI
Frameworks
2) Upload
Trained Models
NGC
4) Analyze
Streaming Data
Scale Out Training
EGX Servers
6) Retrain Models
With New Data
5) Send
Low-Confidence
Decisions Back to
Core Data Center
Figure 1. The edge computing workflow. NGC: Nvidia GPU Cloud.
Top Benefits
of Edge Computing
Edge computing and AI deliver realtime
intelligence through model reasoning,
live inference, and transmitting
anomalies and results back to the
cloud for future model training and
data analysis. This workflow among
the data center, cloud, and edge
effectively handles the big data processing,
response, and security needed
to scale AI across an enterprise
(see Figure 1).
Additional benefits of edge computing
include the following:
1) Resilience: When an edge device
fails or software has crashed,
automated software can remedy
issues without human intervention.
Resiliency migrates
the workloads of devices and
systems to other systems on
the same edge network, ensuring
minimal application downtime
and that insights are
never lost.
2) Lower latency: Distributed infrastructure
avoids sending unnecessary
data back to the data
center or the cloud. Enterprises
can process data in real time
through sensors embedded in
IoT devices and edge servers,
improving functional safety in
industrial environments, building
AVs, and more.
3) Scalability: Data processing at the
edge avoids the need for high
bandwidth for transmission, as
data are transferred to the cloud
only when necessary. This
results in cost savings and avoids
network constraints for weak
and interrupted connectivity.
4) Remote management: Setting up
and maintaining enterprise-scale
systems at remote locations is
challenging. A remote management
platform allows IT teams
to easily deploy, manage, and
scale applications across the
entire edge infrastructure from a
single pane of glass.
5) Security: To protect sensitive data,
edge devices can " desensitize "
data at the edge first and then
send the data to the cloud. Edge
devices can also store and process
sensitive data only locally,
meeting the requirements for
local data storage in multiple
business scenarios.
How Edge AI Is
Transforming Energy
Global energy leaders are using AI
and machine learning to deliver a
path to autonomous power plants
and grids, optimize pipelines, and
create intelligent forecasts of energy
supply and demand. Industrial sites,
such as oil rigs and power plants,
IEEE Electrification Magazine / DECEMBER 2022
7
require extensive monitoring for efficiency
and safety because liquid,
steam, and oil leakages can be catastrophic,
costly, and wasteful. Energy
Server Running AI
EGX Servers
3) Deploy Models to
Edge and Monitor
Edge

http://www.atecorp.com

IEEE Electrification - December 2022

Table of Contents for the Digital Edition of IEEE Electrification - December 2022

Contents
IEEE Electrification - December 2022 - Cover1
IEEE Electrification - December 2022 - Cover2
IEEE Electrification - December 2022 - Contents
IEEE Electrification - December 2022 - 2
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IEEE Electrification - December 2022 - Cover3
IEEE Electrification - December 2022 - Cover4
https://www.nxtbook.com/nxtbooks/pes/electrification_december2022
https://www.nxtbook.com/nxtbooks/pes/electrification_september2022
https://www.nxtbook.com/nxtbooks/pes/electrification_june2022
https://www.nxtbook.com/nxtbooks/pes/electrification_march2022
https://www.nxtbook.com/nxtbooks/pes/electrification_december2021
https://www.nxtbook.com/nxtbooks/pes/electrification_september2021
https://www.nxtbook.com/nxtbooks/pes/electrification_june2021
https://www.nxtbook.com/nxtbooks/pes/electrification_march2021
https://www.nxtbook.com/nxtbooks/pes/electrification_december2020
https://www.nxtbook.com/nxtbooks/pes/electrification_september2020
https://www.nxtbook.com/nxtbooks/pes/electrification_june2020
https://www.nxtbook.com/nxtbooks/pes/electrification_march2020
https://www.nxtbook.com/nxtbooks/pes/electrification_december2019
https://www.nxtbook.com/nxtbooks/pes/electrification_september2019
https://www.nxtbook.com/nxtbooks/pes/electrification_june2019
https://www.nxtbook.com/nxtbooks/pes/electrification_march2019
https://www.nxtbook.com/nxtbooks/pes/electrification_december2018
https://www.nxtbook.com/nxtbooks/pes/electrification_september2018
https://www.nxtbook.com/nxtbooks/pes/electrification_june2018
https://www.nxtbook.com/nxtbooks/pes/electrification_december2017
https://www.nxtbook.com/nxtbooks/pes/electrification_september2017
https://www.nxtbook.com/nxtbooks/pes/electrification_march2018
https://www.nxtbook.com/nxtbooks/pes/electrification_june2017
https://www.nxtbook.com/nxtbooks/pes/electrification_march2017
https://www.nxtbook.com/nxtbooks/pes/electrification_june2016
https://www.nxtbook.com/nxtbooks/pes/electrification_december2016
https://www.nxtbook.com/nxtbooks/pes/electrification_september2016
https://www.nxtbook.com/nxtbooks/pes/electrification_december2015
https://www.nxtbook.com/nxtbooks/pes/electrification_march2016
https://www.nxtbook.com/nxtbooks/pes/electrification_march2015
https://www.nxtbook.com/nxtbooks/pes/electrification_june2015
https://www.nxtbook.com/nxtbooks/pes/electrification_september2015
https://www.nxtbook.com/nxtbooks/pes/electrification_march2014
https://www.nxtbook.com/nxtbooks/pes/electrification_june2014
https://www.nxtbook.com/nxtbooks/pes/electrification_september2014
https://www.nxtbook.com/nxtbooks/pes/electrification_december2014
https://www.nxtbook.com/nxtbooks/pes/electrification_december2013
https://www.nxtbook.com/nxtbooks/pes/electrification_september2013
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