As artificial general intelligence (AGI) development accelerates, data centers must evolve to handle soaring thermal loads, fluctuating GPU demands, and dynamic AI workloads—all while meeting uptime and sustainability goals.
Federator.ai GPU Booster and Smart Liquid Cooling provide a unified software coordination layer that bridges IT operations (deciding when and where to run GPU-intensive jobs) with OT infrastructure (managing cooling, energy, and thermal stability). This AI-defined approach ensures intelligent, real-time optimization across compute, thermal, and energy domains—preparing your data center for AGI-scale performance and operational resilience.
Adaptive Cooling Optimization
Dynamically adjusts chillers, liquid coolant pumps, valves, and other actuators in anticipation of compute workloads, enabling proactive and intelligent cooling control.
GPU Rack-level Energy Optimization
Identifies underutilized servers across racks using predictive workload analytics, then consolidates active workloads and hibernates inactive servers to reduce power and cooling needs at the rack level.
GPU Server-Level Performance Optimization
Maximizes GPU utilization on each server through predictive analytics and dynamic scheduling, ensuring optimal resource allocation for MultiTenant workloads and significantly reducing LLM training completion time.