In-System Test For AI Data Centers

The article discusses the importance of in-system testing for AI data centers to improve device lifespan. While testing at the fab or packaging stage ensures initial functionality, real-world conditions in data centers can lead to different behaviors over time. With AI data centers experiencing higher utilization rates, latent defects can become actual failures faster due to factors like increased voltage and temperature. Nilanjan Mukherjee from Siemens EDA explains the significance of designing in-system tests, optimizing monitoring data, and using proactive measures to extend system life.