What Designers Need to Know About UALink for Scalable AI Systems

As AI workloads rapidly scale, interconnect performance, latency, and memory access become critical bottlenecks. This white paper explores how the UALink protocol enables high-speed, low-latency, and secure GPU-to-GPU communication, unlocking scalable AI architectures beyond traditional limits.

Key Takeaways:

• Learn how UALink enables efficient GPU memory pooling at scale
• Understand UALink protocol layers and performance optimizations
• Explore architectural considerations for large AI clusters and fabrics
• See how Synopsys UALink IP accelerates secure, high-performance designs