With AI clusters driving rack power beyond 130 kW and stricter ESG mandates emerging across the globe, data center operators are under pressure to reduce their environmental footprint while scaling AI workloads efficiently.
Federator.ai Smart Liquid Cooling transforms conventional static cooling into an intelligent, predictive system that dynamically aligns cooling effort with actual GPU heat output. By reducing pump and chiller energy without compromising thermal safety, it empowers organizations to cut energy waste, improve system longevity, and meet ESG goals—while supporting the demands of next-gen AGI training.
Visibility into Cooling and Environmental Metrics
Provide detailed monitoring of power usage, coolant flow, GPU temperatures, and ΔT across racks and clusters. This visibility helps data centers quantify energy savings, track cooling performance, and avoid thermal over-provisioning.
Predictive Cooling Control for Energy Reduction
Use workload-aware AI forecasting to adjust pump speeds and valve positions in real time, reducing cooling energy by up to 30% during low-load phases while keeping junction temperatures under throttle limits.
Sustainability Without Compromise
Align cooling operations with workload intent—not just static design flow rates—ensuring ESG compliance and long-term environmental sustainability without sacrificing compute throughput or rack density.