Changes In Chip Architectures At The Edge

Edge computing is all about low latency, within a tight power budget, and with sufficient performance. This is very different from an AI data center, where the real focus is on data throughput between processor and memory. Achieving those goals requires a focus on what different processing elements bring to the table. Nigel Drego, co-founder and CTO of Quadric, talks with Semiconductor Engineering about how these different components can be combined to build an efficient and powerful edge AI system that is still flexible enough to adjust for frequent changes in algorithms.