Spirent AI Workload Traffic Emulation Solution

The rapidly evolving growth of AI and its high volumes of traffic and intensive processing requirements are pushing current data center networks to the limit. Hyperscalers and large enterprise customers are scrambling to add servers and tens of thousands of graphics processing units or GPUs and other hardware accelerators (xPUs) to scale up AI computing clusters.

Connecting them will require networks that deliver high throughput, lossless performance, and extremely low latency at unprecedented scales, while supporting more complex traffic patterns. Data centers and the high-speed networks they rely on must be reimagined, along with their testing strategies, to ensure reliable performance now and into the future.