All 100 Services

Browse our comprehensive catalog of data center energy optimization services. Each service generates a specialized analysis request tailored to your operational requirements.

Per-rack energy efficiency ranking normalized by workload type

Rank racks by energy efficiency, normalized against workload characteristics to enable fair comparison across heterogeneous deployments. Applies QNSPR quantitative synthesis for attribution modeling.

Energy VisibilityGenerate

Per-application energy intensity (Joules per request/inference/epoch)

Calculate energy intensity metrics at the application level, enabling comparison and optimization of software efficiency. Leverages QNSPR for granular attribution.

Energy VisibilityGenerate

Tenant-level energy cost allocation with anomaly flags

Allocate energy costs to tenants with automated detection of unusual consumption patterns. Applies QNSPR attribution with HPAS anomaly detection.

Energy VisibilityGenerate

GPU vs CPU vs memory power attribution modeling

Decompose server power consumption into component-level attribution for GPUs, CPUs, and memory subsystems. Uses QNSPR with hardware telemetry integration.

Energy VisibilityGenerate

Idle power leakage detection by cluster and service

Detect and quantify persistent idle power leakage at cluster/service granularity, enabling remediation and compliance reporting. Per Helios IdlePowerLeakageDetectionInput schema.

Energy VisibilityGenerate

Power draw variance analysis under identical workloads

Analyze power consumption variance across identical hardware running similar workloads to identify efficiency outliers. Uses HPAS pattern mining.

Energy VisibilityGenerate

Energy baselining for new hardware generations

Establish energy baselines for new hardware deployments to enable accurate efficiency tracking and comparison.

Energy VisibilityGenerate

Stranded capacity identification across power and cooling domains

Identify stranded capacity in power and cooling infrastructure that could be reclaimed or reallocated.

Energy VisibilityGenerate

Real-time PUE decomposition by subsystem

Decompose PUE in real-time by subsystem (cooling, lighting, UPS, etc.) to identify optimization opportunities.

Energy VisibilityGenerate

#10

Feeder-level power quality and efficiency tracking

Track power quality and efficiency at the feeder level to identify distribution losses and quality issues.

Energy VisibilityGenerate

#11

UPS efficiency curve analysis and load optimization

Analyze UPS efficiency curves and optimize load distribution for maximum efficiency.

Energy VisibilityGenerate

#12

Long-tail energy waste analysis (zombie VMs, persistent keepalives)

Identify long-tail, systemic energy drains including zombie VMs and persistent keepalives across IT/facility layers. Per Helios LongTailWasteInput schema.

Energy VisibilityGenerate

#13

Rack overprovisioning audit

Audit and flag racks with overprovisioned power/cooling, prioritizing for hardware repurpose or contract renegotiation. Per Helios RackOverprovisioningInput schema.

Energy VisibilityGenerate

#14

Energy attribution for shared infrastructure (network, storage)

Attribute energy consumption for shared infrastructure components to appropriate cost centers.

Energy VisibilityGenerate

#15

Cross-site energy benchmarking and efficiency comparison

Benchmark energy efficiency across multiple sites to identify best practices and improvement opportunities.

Energy VisibilityGenerate

#16

Containment efficiency optimizer

Detect and classify suboptimal hot/cold aisle containment, support corrective airflow management. Per Helios ContainmentEfficiencyInput schema.

Cooling IntelligenceGenerate

#17

Chiller plant efficiency curve modeling

Model chiller plant efficiency curves to optimize operation across varying load conditions.

Cooling IntelligenceGenerate

#18

Free cooling opportunity detection

Identify opportunities for free cooling based on ambient conditions and load patterns.

Cooling IntelligenceGenerate

#19

Hot spot prediction and prevention

Predict and prevent thermal hot spots using historical patterns and real-time monitoring.

Cooling IntelligenceGenerate

#20

Cooling setpoint optimization by zone

Optimize cooling setpoints by zone based on actual thermal loads and efficiency curves.

Cooling IntelligenceGenerate

#21

Overcooling mitigation engine (rack granularity)

Forensic detection and remediation of rack-level overcooling, supporting energy optimization and incident prevention. Per Helios OvercoolingMitigationInput schema.

Cooling IntelligenceGenerate

#22