Reinventing Data Center Cooling with Intelligent AI Control
Cutting-edge reinforcement learning for maximum energy efficiency and operational resilience
Revolutionizing Cooling with Reinforcement Learning
Our AI Cooling Optimization solution leverages cutting-edge reinforcement learning technologies inspired by Embodied Intelligence.
Designed for adaptability, it quickly adjusts to different cooling infrastructures without extensive historical data or manual retraining.
Whether facing load variance, environmental shifts, or human interventions, the system continuously learns and optimizes in real time—delivering maximum energy efficiency and operational resilience.
Why Our AI Cooling Stands Out
Instant Adaptation Across Systems
No need for retraining or complex reconfiguration. Seamlessly adapts to chilled water, DX, hybrid, or other cooling systems with minimal fine-tuning.
Cold Start Ready
Operates effectively even with insufficient historical data. Achieves quick deployment with limited operational knowledge.
Continuous Online Optimization
Dynamically adjusts control strategies in real-time, responding instantly to load changes, environmental conditions, and system interventions.
Minimal Human Intervention
Reduces manpower requirements dramatically. Once deployed, it autonomously handles day-to-day optimization tasks.
Resilient to Environmental Changes
Excels in unpredictable or evolving data center environments, maintaining stability and maximizing efficiency.
Omni-Adaptive Learning Engine
Sensing
Collects real-time operational data from HVAC systems, IT loads, sensors, and facility environment.
Contextual Understanding
Absorbs long time-series context to model the dynamic interactions between cooling systems and workloads.
Strategy Learning
Continuously learns optimal cooling strategies using advanced reinforcement learning with meta-adaptivity.
Real-Time Action
Adjusts setpoints, flow rates, and cooling modes dynamically to optimize for current and predicted conditions.
Continuous Feedback
Refines models and strategies over time based on new data without interrupting operations.
Transform Your Data Center's Cooling Efficiency
Energy Savings
Up to 30% Energy Savings with rapid payback periods.
Rapid Deployment
Quick implementation even in new, unknown environments.
Self-Adaptive
Adapts to seasonal, daily, and unpredictable variations.
Cross-System Compatibility
Works with diverse cooling systems without extensive customization.
Reduced Operational Risks
Enhances reliability through predictive control and fault tolerance.
Low Maintenance Overhead
Minimal supervision required for long-term operation.
Versatile Across Cooling Architectures
Hyperscale Data Centers
Optimized cooling for large-scale data center operations.
Edge Computing Sites
Efficient cooling management for distributed edge infrastructure.
Colocation Facilities
Balanced cooling for multi-tenant environments with varying workloads.
Enterprise IT Environments
Reliable cooling optimization for business-critical infrastructure.
High-Performance Computing
Precision cooling for high-density HPC infrastructure.
Proven in Complex Environments
Deployments have demonstrated energy savings of up to 28% within the first operational quarter, with improved SLA adherence and reduced manual intervention rates.
Experience the Future of Cooling
Discover how our AI-driven cooling optimization can transform your data center's efficiency and sustainability.