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Dell EMC

Dell EMC optimizes the management of its micro data centers with AVEVA PI System

Dell EMC's Extreme Scale Infrastructure division revolutionized edge computing by deploying modular micro data centers (MDCs) worldwide. To monitor these compact, remote units with no on-site staff, Dell EMC relies on AVEVA PI System, AVEVA PI Vision and AVEVA PI Server to unify operational technology (OT) and information technology (IT) data. The solution provides real-time visibility across thousands of sites, optimizes power and cooling performance, and supports scalable management of this distributed infrastructure. With AVEVA, Dell EMC now has consolidated real-time information, streamlines the management of its micro data centers and ensures the availability of the edge services that are essential to its customers.

Objectives

  • Monitor thousands of remote, unmanned, on-site modular micro data centers (MDCs) globally
  • Integrate operational (OT) and IT (IT) data into a unified, real-time view
  • Optimize the power and cooling performance of this distributed edge computing infrastructure
  • Ensure the availability of critical edge services to customers across all deployed sites

Solutions

  • AVEVA PI System
  • AVEVA PI Vision
  • AVEVA PI Server

Results

  • Real-time remote monitoring and control of MOCs
  • Reduced asset setup time from two weeks to four hours
  • Approx. 50% reduction in commissioning time
  • Achieve energy savings by identifying and capping underutilized servers

FAQ

How does AVEVA PI System supervise thousands of remote micro data centers?
AVEVA PI System, PI Server and PI Vision enable Dell EMC Extreme Scale Infrastructure to monitor in real time thousands of modular micro data centers (MDCs) deployed without on-site staff. The solution unifies operational (OT) and information technology (IT) data to provide consolidated visibility into power, cooling and availability performance. This remote supervision is essential to edge computing: it guarantees quality of service at isolated sites while optimizing operating costs globally.
Why unify OT and IT data in a modern data center?
In a micro data center, performance depends as much on IT (server load, services) as on OT (power, cooling, environment). AVEVA PI System brings these two historically siloed worlds together in a unified real-time view. At Dell EMC, this convergence makes it possible to optimize power and cooling performance and identify underused servers. It is an emerging standard for cloud and edge operators focused on energy efficiency and service reliability.
What concrete gains has AVEVA brought to Dell EMC?
Dell EMC achieved spectacular results: asset configuration time cut from two weeks to four hours, a reduction of about 50% in commissioning time, and significant energy savings by identifying and capping underused servers. Real-time remote monitoring and control of modular MDCs frees teams from travel and speeds up the deployment of new edge capacity. These gains make AVEVA a strategic partner for modern distributed infrastructure.
How can the energy consumption of a fleet of data centers be optimized?
AVEVA PI System and PI Vision allow Dell EMC to analyze the consumption and load of each micro data center in real time. Identifying underused servers paves the way for targeted capping that reduces consumption without degrading service. This data-driven approach to energy efficiency has become indispensable for cloud operators facing growing demand, carbon neutrality commitments and regulatory pressure on the environmental footprint of digital infrastructure.
Why is AVEVA well suited to managing edge computing?
Edge computing requires monitoring distributed sites, often without local staff, with industrial-grade reliability. AVEVA PI System provides the scalability (thousands of sites), robustness (proven OT architecture) and data contextualization this model needs. PI Vision delivers the real-time web visualization IT teams expect. For Dell EMC, this unified OT/IT combination is what makes the industrial-scale deployment of micro data centers worldwide possible, without compromising performance or security.