Energy-Efficient Data Center Management
View Sustainability Case
AI-Driven Environmental Control for Federal Data Centers.
The Challenge
Federal data centers often run cooling systems at full capacity regardless of real IT demand, leading to wasted energy and poor PUE scores.
How TLE Solves It
In partnership with academic researchers (Louisiana Tech), TLE correlates IT workload data with environmental sensor data.
- Predictive Cooling: Anticipates server load spikes and adjusts cooling before temperature thresholds are reached.
- Dynamic Optimization: Safely reduces energy usage during low-load periods without risking hardware integrity.
- Status: Active research pilot aligned with Federal Sustainability Plans.
