We’re excited to be participating at TSMC OIP Ecosystem Forum North America! Stop by booth #407 to chat with our experts about our solutions.
Nidish Kamath, Director of Product Management, will also be presenting on LPDDR Memory. See session information below:
Title: LPDDR Memory: Enabling Power-Efficient Performance in AI, Automotive and Data Center Systems
Speaker: Nidish Kamath
Time: 4:10pm- 4:30pm
Abstract: The rapid growth of AI, edge computing, and mobile-class compute in data center, automotive, and client platforms is fundamentally changing memory subsystem requirements. While performance demands continue to increase—driven by AI inference, real-time analytics, and always-on workloads—power efficiency and form-factor constraints are becoming equally critical. Traditional high-performance memory solutions often struggle to meet aggressive power budgets, while mobile-oriented memory technologies must now scale to support higher bandwidths and more complex system architectures.
LPDDR has emerged as a key enabler for these new compute paradigms, extending beyond smartphones into AI accelerators, automotive SoCs, and power-constrained data center applications. However, adopting LPDDR at scale introduces several challenges, including higher interface speeds, tighter signal integrity margins, increased controller and PHY complexity, and the need for robust power management and reliability features. Additionally, advanced process nodes exacerbate variability and noise sensitivity, requiring closer co-optimization between memory IP, silicon technology, and system design.
As LPDDR continues to evolve with higher data rates, lower operating voltages, and new architectural features, designers need proven, scalable solutions that balance performance, power, and reliability while enabling faster time-to-market.
To learn more and register, click the link here: TSMC OIP Ecosystem Forum
