01
Edge Ingestion
Module 1
Monitor real-time rack temperatures, server utilization, and regional electricity grid spot prices.
Use Case 18 · Telecom & Infrastructure
Data Center Power & Thermal Load Predictive Balancing
Real-time AI compute load routing based on server thermal thresholds and local energy prices.
Customer need & pain point
The problem this replaces.
- Soaring electricity costs and thermal throttling during peak AI inference workloads.
Step-by-step execution
How the engine executes it.
02
Multi-LLM Routing
Module 1
Forecast thermal escalation during intensive LLM routing tasks.
03
Agentic AI
Module 4
Dynamically reroute model processing workloads to cooler secondary data center nodes.
04
Agentic AI
Module 4
Adjust HVAC cooling settings dynamically via industrial IoT integrations.
Quantifiable ROI & impact
What changes commercially.
- 16.8% reduction in data center cooling costs
- 0 thermal downtime incidents
The “aha” moment
“Workload routing now considers both model latency and real-time power costs automatically.”