Maximizing Data Center Efficiency for AI and HPC Through Power Profile Optimization
Introduction to Rising Computational Demands The rapid growth in artificial intelligence (AI) and high-performance computing (HPC) workloads is significantly increasing the demand for computational power. This surge places substantial pressure on data centers, which must deliver greater performance while managing rising energy consumption. As computational requirements grow exponentially, data centers face challenges in maintaining efficiency within their existing power constraints. Challenges of Power Constraints in Data Centers Data centers have limited power availability due to infrastructure and cost limitations. When power capacity is maxed out, adding more hardware or increasing performance becomes difficult without exceeding power budgets. This situation demands strategies that can extract the maximum computational throughput from each watt of power provisioned, ensuring that performance scales without proportionally increasing energy consumption. Understanding Power ...