Architecting Physical AI SoCs with Standards-Based IP for Real-World Intelligence

What is Physical AI?

“Physical AI lets autonomous systems like … robots, and self-driving cars perceive, understand, reason, and perform or orchestrate complex actions in the physical world.

Multi-Die Designs for Edge and Physical AI

Addressing Growing Functional Complexity and Workloads

  • Partition workloads into dies allowing SKU flexibility to target different use cases
  • Optimize memory integration per mm2, with compute power using tightly coupled AI Accelerator and/or Memory
  • Flexibility to adopt different process nodes for IO/sensor functions
  • Cost reduction by reuse of silicon
  • Smaller footprint for space-constrained applications (e.g wearables, mobile robots / robotic arm)
  • Power savings with highly efficient die-to-die connection
Architecting Physical AI SoCs with Standards-Based IP for Real-World Intelligence