LLM Task-Based Data Center Cooling

Optimizes cooling infrastructure by understanding the computational characteristics of AI workloads rather than treating all processing equally. The system dynamically allocates cooling resources based on predicted task demand, reducing energy consumption while maintaining performance. The invention addresses one of the largest operational costs associated with modern AI infrastructure.