Edge AI systems increasingly require on-chip integration of large-capacity memory, compute engines, and inference-optimized accelerators—all within strict power, latency, and footprint constraints. This webinar provides a an overview of IP architecture and integration methodologies that support real-time AI workloads at the edge.

Discover how to architect and integrate high-efficiency IP for next-generation Edge AI systems—and learn the strategies that enable real-time performance within tight power, latency, and area budgets.