Sponsor Editorial

This white paper explores the growing power, performance, and reliability challenges involved in scaling chips for GenAI training and inference. As AI workloads become larger and more demanding, traditional static optimization methods and fixed guard bands can limit efficiency and leave valuable performance untapped. proteanTecs addresses these challenges with real-time, on-chip monitoring and adaptive solutions, including AVS Pro for voltage optimization, AFS Pro for frequency scaling, and RTHM for continuous reliability monitoring. By providing deep visibility into actual silicon behavior under real-world workloads and operating conditions, proteanTecs enables chipmakers and system operators to improve performance per watt, reduce power consumption and operating costs, maximize utilization, and strengthen reliability across large-scale AI deployments.