Pankaj Goel is a seasoned technology leader and Director at Siemens EDA with over 20 years of industry experience in semiconductor design and verification. With deep expertise in Verification IP (VIP), he plays a pivotal role in driving high-quality verification solutions for complex designs. Over the years, Pankaj has built and led global teams of VIP experts, fostering technical excellence, innovation, and strong cross-regional collaboration. He is focuses on strategic execution, talent development, and delivering scalable verification solutions that support advanced chip development across industries.
The rapid growth of artificial intelligence (AI) workloads has created a critical need for high-performance, accelerator-optimized networking. Modern AI clusters generate intense traffic between GPUs and specialized accelerators, where latency, bandwidth, and congestion control directly affect scalability. The Ultra Ethernet Consortium (UEC) advances Ethernet into an AI-ready fabric designed for deterministic, low-latency performance. Building on this, Ultra Ethernet Transport (UET) enhances transport efficiency for accelerator-to-accelerator communication. In addition, ESUN and UALink support efficient scale-up within accelerator domains while preserving seamless Ethernet-based scale-out across larger infrastructures.This paper explores why Ethernet is emerging as the strategic foundation for next-generation AI infrastructure and how these technologies collectively solve the accelerator connectivity challenge. It examines the performance limitations of conventional Ethernet in large-scale AI clusters and explains how UEC introduces architectural enhancements such as advanced congestion control, telemetry awareness, and deterministic behavior. The paper further analyzes