How AI is Redefining Semiconductor Design for the Edge

The exponential growth in compute demands of AI, and the move to Software Defined Products, means that more than ever workloads are defining the semiconductor requirements. The need to hit the restrictive power, performance, area and cost constraints of edge designs, mean that every element of the design needs to be optimized and co-designed with the workloads in mind. Additionally, the design needs to evolve even after semiconductor design is complete as it adapts to new demands.

In this presentation, we will look at how semiconductor design is changing to enable rapid development and deployment of custom, application-optimized, system-on-chip designs – from concept through to in-life operation, as we chart the path to a sustainable compute future.

(AI HW Summit Keynote Delivered September 10th 2024, San Jose, CA)