EDA
System
IP
SolvNetPlus
Training & Education
When Compute Outruns Data: Rethinking AI Connectivity
Date: Jul 21, 2026 | 9:00 AM PST
Featured Speaker:
- Manmeet Walia, Executive Director of Product Management, Synopsys
AI performance is no longer limited by compute—it’s limited by how efficiently data moves. As systems scale to compute-dense clusters, memory, die-to-die, and high-speed interfaces are emerging as critical bottlenecks.
This webinar explores how evolving AI workloads are redefining requirements for interface IP across memory, D2D, and SerDes. We’ll examine how bandwidth, latency, power, and area must be optimized together—and how scalable, next-generation interface IP is enabling the data movement needed to keep advanced AI systems running at full performance.
What You'll Learn:
- Why data movement - not compute - is now the limiting factor in AI systems
- How AI workloads are driving new requirements for memory, D2D, and SerDes IP
- Why power and latency are first-order constraints for interface IP design
- How scalable interface IP enables efficient, high-performance AI architectures
- Key interface IP trends and standards shaping next-generation AI connectivity
Register Now!
Featured Speaker
Manmeet Walia
Executive Director of Product Management, Synopsys
Manmeet Walia is an Excutive Director of Product Management for mixed-signal PHY IP for the Synopsys Solutions Group. He brings more than 20 years of experience in product marketing, product management, and system engineering covering ASSP, ASIC, and IP products for a broad range of applications. Manmeet holds an M.S. in electrical engineering from the University of Toledo and an MBA from San Diego State University.