The Road to Chiplet Scalability 2026

presentation-road-to-scalability

Scalable Multi-Die Solutions for AI, HPC, and Automotive ADAS

By Ashley Stevens and Bhavana Dhara

As chiplet-based architectures become a cornerstone of next-generation AI, high-performance computing (HPC), and automotive ADAS designs, engineering teams face increasing challenges managing system complexity, die-to-die communication, integration, and verification. Successfully scaling multi-die systems requires proven interconnect technologies, standardized methodologies, and efficient design flows that accelerate development while reducing risk.

This presentation explores how coherent and non-coherent multi-die Network-on-Chip (NoC) technology, advanced EDA methodologies, and proven integration and verification flows help simplify multi-die system design and accelerate production-ready chiplet development.

Watch the video to learn more.

What You'll Learn:

  • How coherent and non-coherent multi-die NoC architectures enable scalable chiplet-based system design
  • Best practices for reducing integration complexity with advanced EDA methodologies and proven verification flows
  • Approaches for accelerating multi-die development across AI, HPC, and automotive ADAS applications
  • Strategies for improving scalability, interoperability, and design reuse in chiplet-based systems
  • How production-proven multi-die technologies help reduce development risk and speed time to market