DeepCtrls’ Liquid Cooling AI Control Platform applies Physical AI technology to optimize liquid cooling systems for next-generation AI data centers.

By combining physics-based modeling, AI workload forecasting, and predictive health monitoring, the platform enables autonomous cooling optimization, proactive thermal management, and cabinet-level anomaly detection.

It helps data center operators improve cooling efficiency, enhance system reliability, and ensure stable operations for high-density AI computing environments.

• AI-driven cooling optimization and autonomous control

• Predictive thermal management and health monitoring

• Improved cooling efficiency and operational reliability

• Designed for high-density AI computing infrastructure

 

Compute-Energy Coordination AI Platform

DeepCtrls’ Compute-Energy Coordination AI Platform enables dynamic coordination between computing workloads, power systems, and cooling infrastructure.

Through AI-driven workload awareness, compute-energy matching, and system-level optimization, the platform helps data center operators improve energy efficiency, optimize PUE, and build more autonomous AI infrastructure.

• Dynamic matching of computing demand and energy supply

• AI-based workload and energy optimization

• Improved data center efficiency and PUE performance

• Enables autonomous operation of AI infrastructure

 

 

Source-Grid-Load-Storage AI Coordination Platform

DeepCtrls’ Source-Grid-Load-Storage AI Coordination Platform leverages Physical AI to optimize the interaction between energy generation, grid resources, facility loads, and energy storage systems.

Through AI-based demand forecasting and real-time operational optimization, the platform enables intelligent energy scheduling, improves renewable energy utilization, and reduces operational costs.

• Real-time coordination of energy generation, grid resources, loads, and storage

• AI-powered energy forecasting and optimization

• Improved energy efficiency and renewable energy utilization

• Autonomous closed-loop energy management