Global Solution Architect Schneider Electric Westmont, IL, United States
Data centers are essential for supporting semiconductor fabs that are leveraging AI and machine learning to optimize processes such as predictive maintenance, yield optimization, and defect detection. These enhancements significantly boost production efficiency and reduce costs, transforming semiconductor manufacturing into a more efficient and cost-effective operation.
Additionally, data centers provide the necessary IT infrastructure, including High-Performance Computing (HPC) and robust data storage and management systems. Semiconductor manufacturing generates vast amounts of data at every stage, from design to production. Data centers handle this data efficiently, ensuring quick access and high reliability, which is crucial for continuous improvement and innovation.
However, the rapid rise in AI usage has led to increased energy consumption, posing a significant challenge for the semiconductor ecosystem. Addressing this challenge requires innovative system-level solutions and advanced technologies.
In this session, you will learn how data centers are enabling AI-driven innovations in semiconductor manufacturing. We will explore innovative energy and supply chain solutions, focusing on how advanced system-level technologies can address the energy challenges posed by the rapid rise in AI usage. This includes integrating cutting-edge cooling technologies and power management solutions to reduce the overall energy footprint of data centers and power distribution systems.
Join this session to discover how data centers are transforming semiconductor manufacturing through AI and machine learning. Learn about the latest advancements in HPC, data storage, and management, and how these innovations drive efficiency and cost-effectiveness. Additionally, gain insights into strategies and technologies that mitigate the energy challenges associated with increased AI usage, ensuring a sustainable future for the semiconductor industry.
