AI infrastructure must operate continuously under high thermal and computational loads. Unplanned thermal spikes, pump failures, or flow disruptions can lead to GPU throttling or even job termination—undermining service-level objectives in mission-critical environments.
Federator.ai Smart Liquid Cooling continuously monitors GPU power, coolant flow, and thermal response in real time. It delivers early alerts, allowing operators to resolve issues before they impact workload performance. This proactive approach enhances uptime, protects hardware, and ensures seamless AI/ML operations.
Real-Time Telemetry and Anomaly Detection
Continuously collects high-frequency telemetry from GPUs, CDUs, and cooling systems to identify early signs of thermal stress, abnormal flow patterns, or rising ΔT—enabling timely alerts and preventive actions before failures impact operations.
Predictive Fault Detection with AI Modeling
Use historical workload patterns, thermal behavior, and pump dynamics to forecast potential failures or thermal bottlenecks, enabling preventive maintenance and thermal risk mitigation.
Intelligent Escalation and Policy Triggers
Integrate alerts into existing DCIM or BMS platforms to trigger automated responses—such as rerouting workloads, adjusting cooling profiles, or notifying support teams—ensuring service continuity even under stress.