In this episode of Ask the Experts, we discuss HBM3E memory with Nidish Kamath, director of product management for memory interface IP at Rambus, and Frank Ferro, group director of memory and storage IP at Cadence.
Topics discussed include:
- The role HBM plays in today’s computing landscape
- Reasons why we’ve seen such a rapid evolution of the HBM specification in recent years
- Characteristics of HBM, and HBM3E specifically, that make it particularly suitable for AI training
- Challenges on the physical layer and memory controller sides to meet the higher performance targets of HBM3E
- How Cadence and Rambus work together to instantiate for the customer a complete HBM3E memory subsystem
- Where people can learn more about the Cadence and Rambus IP solutions for HBM3E