AWS Trainium's Frontier Competition: Co-designing Models and Kernels with Purpose-Built AI Chips

AWS Trainium adopts an approach that designs and optimizes not only hardware but also AI models and kernels to enhance the performance of purpose-built AI chips.

This co-design approach reflects the computational characteristics of models and kernel implementations in the chip architecture, focusing on securing performance and efficiency that are difficult to achieve with general-purpose hardware alone. It demonstrates that the AI chip competition is expanding beyond simple semiconductor performance comparisons to a competition of software stack and model optimization capabilities.