Data-Driven Optimization In Semiconductor Manufacturing


Effectively scaling semiconductor manufacturing is critical to meeting the rapidly growing demand and requires solving numerous technical challenges. The substantial capital investment required for semiconductor manufacturing further complicates the business equation. Legacy fabs are designed redundantly to maintain the uptime required for reliable ROI, further increasing costs. Producers want ... » read more

Offline RL Framework That Dynamically Controls The GPU Clock And Server Fan Speed To Optimize Power Consumption And Computation Time (KAIST)


A new technical paper titled "Power Consumption Optimization of GPU Server With Offline Reinforcement Learning" was published by researchers at Korea Advanced Institute of Science and Technology (KAIST) and KT Research and Development Center. "Optimizing GPU server power consumption is complex due to the interdependence of various components. Conventional methods often involve trade-offs: in... » read more