Edge ComputingManufacturing

Manufacturing Edge Computing Network

Optimizing 200 Edge Sites Supporting Smart Factory Operations

ManufacturingEdge ComputingIndustry 4.0Smart FactoryIoT

Fleet PUE

1.42

Standardized from 1.3-2.4 range

Site Visits

-45%

Reduced through predictive maintenance

Annual Savings

$6.8M

Combined energy and operational savings

Visibility

100%

Real-time monitoring across all sites

The Challenge

A global manufacturer operated 200 edge computing sites supporting Industry 4.0 initiatives across factories worldwide. Each site operated independently with no centralized visibility, resulting in efficiency variations from 1.3 to 2.4 PUE. Energy costs represented 18% of edge computing operational expenses.

The Solution

Helios deployed unified edge management that provided centralized visibility and control across all 200 sites. The platform implemented automated optimization that adjusted cooling and power management based on local conditions and workload requirements. Predictive analytics enabled proactive maintenance, reducing site visits by 45%.

Implementation Timeline

Edge Discovery
8 weeks
Cataloging and assessing all edge sites
Connectivity
6 weeks
Establishing secure monitoring connections
Automation Deployment
12 weeks
Rolling out optimization across sites
Continuous Management
Ongoing
Ongoing monitoring and optimization

Key Insights

Centralized monitoring revealed 34 sites operating significantly below potential
Automated optimization reduced manual intervention requirements by 78%
Predictive maintenance prevented 89% of potential thermal incidents
Standardized operations enabled rapid deployment of new edge sites

Measurable Impact

Quantified results from this transformation