Kunle Olukotun

Kunle Olukotun, a Stanford professor and chief technologist at SambaNova Systems, dives into reconfigurable dataflow architectures for AI. He explains how this innovative approach enhances AI inference by dynamically matching hardware to model dataflows, leading to reduced bandwidth bottlenecks. Kunle also highlights the benefits of fast model switching and efficient multi-model serving, crucial for low-latency applications. Plus, he explores future possibilities of using AI to create compilers for evolving hardware setups, offering insights into significant performance improvements.