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Data Center Use Case

Reducing Power Consumption in Server Rooms and Data Centers

Transforming operational data into clear, actionable insights, with full data privacy. Every technician, operator, and engineer becomes an energy expert, raising the operational standard across the organization.

The Problem

High electricity consumption

Non-optimized cooling and airflow systems consuming excessive power

Real-time visibility gap

Inability to understand what is causing energy consumption to rise in real time

Static configurations

HVAC/CRAC systems that do not adapt to changing IT loads

Hot spots not detected

Localized heat loads that are not identified and resolved in time

Recurring equipment failures

UPS units, fans, chillers, and CRAC systems failing due to overload

System silos

Lack of integration between electrical, IT, cooling, monitoring, and BMS

Missed savings

Opportunities lost due to absence of continuous analytical monitoring

Bottom line: In data centers and IT environments, electricity is one of the largest cost drivers. Every percentage of savings translates directly into net profit, reducing expenses, lowering infrastructure stress, and improving operational stability.

Operational Pain → Quantified Impact

Excessive Cooling Costs

Impact
30-40% of total data center energy consumption is cooling (Uptime Institute)
IoTGPT Solution
Real-time airflow optimization and HVAC/CRAC set-point recommendations

High PUE

Impact
Average PUE of 1.58 means 58% overhead (Uptime Institute 2023)
IoTGPT Solution
Continuous PUE monitoring with actionable insights to reduce IT + Cooling load

Hot Spot Formation

Impact
Undetected localized heat causes server throttling and equipment stress
IoTGPT Solution
Multivariate thermal analysis identifies hot spots before damage occurs

Equipment Downtime

Impact
Cooling or UPS failures lead to expensive outages ($9,000/minute - Ponemon)
IoTGPT Solution
Predictive alerts on fan, chiller, and UPS overload before failure

Manual HVAC Tuning

Impact
Manual adjustments are slow, reactive, and prone to human error
IoTGPT Solution
Automated recommendations for optimal cooling system operation

IoTGPT Solution

"The system that translates energy, electrical, and cooling data into insights that reduce power consumption — without sending any data off-site."

IoTGPT modules deployed on-premises, connected to BMS/EMS, cooling systems, and PDU/UPS

Automatic collection, cleaning, and learning from server loads, temperatures, and energy data

Detection of hot spots and anomalies in power consumption patterns

Optimization of cooling systems, fan speeds, and airflow distribution

Continuous recommendations for efficient operating set-points (HVAC/CRAC/Chillers)

Prediction of overload-related failures before they occur (fans, chillers, UPS)

Real-time KPI dashboards and long-term trend analysis in operational language

Edge-AI with Full Privacy

  • Edge-AI analytics with no cloud dependency
  • Full privacy: no sensitive IT/network/infrastructure data leaves the server room
  • Learning models adapted to seasonality, IT load variations, and cooling patterns
  • Operational language that any operator can apply immediately

Expected Results

PUE Improvement
0.05-0.10 reduction
Direct reduction in energy overhead
Total Power Consumption
5-10% reduction
Lower electricity costs (IT + Cooling combined)
Cooling Efficiency
8-15% optimization
Reduced load on cooling systems and UPS
Equipment MTBF
10-18% improvement
Fewer failures through predictive maintenance

With IoTGPT, every server room operates smarter, more stable, and significantly more efficiently. We don't just analyze data — we turn it into real financial and operational savings.

Monetized KPIs

PUE (Power Usage Effectiveness)
Total Electricity Consumption (kWh)
Hot Spot Occurrence Rate
Cooling Efficiency Ratio
UPS Consumption vs. Load
Monthly Electricity Cost Savings
MTTR for Cooling/Electrical Failures
Server Room Availability (Uptime)
Equipment MTBF
Carbon Footprint Reduction

Business Outcome

Lower PUE directly improves EBITDA per site. Every 0.1 reduction in PUE can save hundreds of thousands of dollars annually for large facilities. Combined with predictive maintenance and reduced equipment failures, IoTGPT delivers fast ROI while ensuring continuous operational excellence and data sovereignty.

Data Privacy: Built for Critical Infrastructure

On-Premises / Edge Deployment

All processing happens locally on your infrastructure. No data leaves your facility.

No Cloud Dependency

System operates independently. Internet outage? Your analytics continue running.

Zero Data Sharing

Sensitive infrastructure, network, and server data never transmitted externally.

Compliance Ready

Meets GDPR, SOC 2, and enterprise security standards. Ideal for HLS, financial, and sensitive IT environments.

Your data stays yours. Maintain complete sovereignty while gaining AI-powered optimization.

"We don't sell dashboards.
We recover value already leaking from operations."