How AI / ML Networks Differ from Traditional Networks

AI workloads are redefining data center demands with massive throughput, rapid upgrades, and synchronized GPU clusters. This white paper outlines four network test challenges that traditional methods often miss. Learn how to identify hidden bottlenecks, emulate AI training traffic, and benchmark system performance at scale. Get practical guidance to test smarter, not just faster, and confidently prepare your architecture for the next generation of AI training demands.