Despite the growing excitement around gallium nitride (GaN), silicon (Si) continues to hold strong in many power module applications, including supporting data centers dealing specifically with high-compute AI workloads.

Meeting the growing demand for AI data centre capacity means overcoming the complex challenges of scaling compute, power, and cooling. Mattias Jansson, senior VP of Embedded & Critical Power at Flex, explores the power architectures needed to stay ahead.

Fueled by the relentless demand for cloud-based storage and computing, data centers are growing at an unprecedented pace.