Rising Power and Cooling Demands
High-density computing is driving higher power and cooling demands, requiring infrastructure to operate safely, reliably, and efficiently under increasing loads.
AI Data Center Solutions
Powered by the PhyAI™ Engine, DeepCtrls enables full-lifecycle AI data center optimization across design, control, liquid cooling, O&M, and compute-energy coordination — improving efficiency and operational stability across diverse cooling architectures.
Get Your Free Energy Savings AssessmentIndustry Challenges
4 Energy Efficiency Challenges in High-Density Computing
High-density AI workloads increase power and cooling demands,while traditional controls struggle to coordinate compute, energy, cooling, and storage for optimal PUE and cost.
Cooling Response Lag Under Dynamic Loads
Dynamic AI workloads can cause overcooling, delayed response, and efficiency fluctuations under conventional cooling control.
More Complex Liquid Cooling Control & O&M
Liquid cooling increases system coupling, raising demands for fast response, stable supply, leak prediction, and health monitoring.
Limited Compute-Power-Cooling Coordination
Siloed compute, power, storage, and cooling limit unified forecasting and coordinated decisions, making it difficult to optimize efficiency, safety, and total AIDC costs.
Solutions
Four Core Solutions for AI Data Centers
DeepCtrls delivers full-lifecycle AI data center optimizationacross design, cooling, liquid cooling, compute-energy coordination, and intelligent O&M, improving infrastructure efficiency and operational reliability.
Cooling System Energy Optimization
Reduce Cooling Energy Consumption and Improve PUE
Optimizes cooling infrastructure through coordinated control, dynamically matching cooling supply with AI workloads for higher efficiency.
Active Liquid Cooling Thermal Management
Rapid Response to Compute Loads, Stable Coolant Delivery
Coordinates primary loops, secondary loops, and CDU control to proactively respond to dynamic workloads and optimize coolant temperature and flow.
Liquid Cooling Health & Safety Management
From Reactive Maintenance to Proactive Prevention
Enables proactive liquid cooling protection through leakage prediction, anomaly detection, flow monitoring, and coolant health management.
Compute-Energy Coordination Solution
Coordinates compute, power, cooling & storage to cut costs.
DeepCtrls unifies forecasting across compute, cooling, power, renewables, and storage to optimize energy and compute operations.
Product Mapping
Full-Lifecycle, All-Scenario Energy Optimization for AIDC
DeepCtrls enables full-lifecycle AI data center optimizationacross design, control, liquid cooling, and compute-energy coordination, supporting diverse cooling architectures from simulation to operation.
EnergySim Simulation & Optimization
Design SimulationYear-Round SimulationEarly-Stage PUE OptimizationSimulates year-round conditions, equipment selection, and system strategies during design to improve achievable PUE from the outset.
DeepSYS System Optimization Agent
System ModelingGlobal OptimizationClosed-Loop ControlModels cooling plants, distribution, terminal, and hybrid cooling systems with high accuracy, continuously optimizing for the best operating strategy.
Liquid Cooling Health Management System
Fast Secondary-Side ResponseCoolant Leak AlertsCoolant Health ManagementEnables precise CDU feedforward control, coolant leak alerts, and health monitoring to support more proactive liquid cooling operations.
Compute-Energy Coordination
Load ForecastingIntelligent SchedulingSystem Performance SimulationCombines device-level physics models, data-driven and Physical AI simulation, and 3D digital twins to forecast source-load-storage states and optimize energy systems.
Key Benefits
4 Core Benefits — Make Every kWh Create More AI Value
PUE 1.28→1.21System-Level PUE Optimization
PhyAI™ models and optimizes cooling plants, distribution, terminal systems, and operating strategies to continuously reduce cooling energy and improve PUE.
Reliable Cooling Assurance
Optimizes within temperature, humidity, coolant temperature, pressure, and flow limits to keep compute systems stable and maintain service continuity.
Multi-Cooling Architecture Support
Supports water, air, evaporative, liquid, and hybrid cooling architectures, meeting retrofit and optimization needs from conventional to high-density AI data centers.
Coordinated Compute, Power & Cooling
Connects compute loads, power supply, cooling demand, storage, and electricity prices to enable coordinated decisions and evolve from energy saving to energy asset operations.
All-Scenario Case Matrix
Multi-Cooling Architecture & Platform Validation
Wuxi Supercomputing Center
Liquid-Cooled- 24%+ HVAC Savings · 4M+ kWh/yr Saved
- PUE decreased from 1.28 to 1.21, reaching world-class energy efficiency.
INFINAXIS AI Data Center
Water-Cooled- Validated by NV5 Mission Critical
- PUE remained stable, with room conditions maintained at 25°C ±2°C and 30–70% RH. Operations met design standards, validating system stability, resilience, and intelligent control.
China Mobile
Air-Cooled- AI-driven analytics and control optimize cooling based on IT power demand, temperature, humidity, and hotspots, achieving 18%+ average energy savings.
- CLF Reduction >22%
Tencent Yongshun DC
Liquid-Cooled- Annual HVAC energy savings >2.2 million kWh.
- Average annual PUE <1.240 after optimization.
- CLF Reduction >22%.
ByteDance
Water-Cooled- 2.497M kWh annual chiller plant savings · 1.743M kWh precision cooling savings · 12% overall HVAC energy savings
- Continuous optimization has reduced PUE from the 1.256 baseline toward industry-leading levels.
China Unicom
Water-Cooled + Terminals Cooling- 16% System Energy Savings.
- Visualizes energy performance and analyzes consumption in real time, optimizing key energy metrics with measurable savings shown instantly.
Reshaping Global Compute and EnergyInfrastructure with Physical AI
Proprietary PhyAI™ Physical AI Engine
10–40% Energy Savings, Verified in Real Time
390+ Customers Across Multiple Industries