Boost AI Network Reliability with End-to-End 1.6T Interconnect Testing (Download)

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The “Era of AI” is here, transforming how we work and live, but it’s pushing data centers to their limits. Training large language models (LLMs) demands massive volumes of computing and memory, distributed across densely interconnected GPU clusters.

To keep up with model complexity and scale, hyperscale data center operators are racing to upgrade their networks to 800GE and 1.6T Ethernet. But boosting the network capacity with higher-bandwidth interconnects is only part of the story. The real challenge is how to boost interconnect reliability and efficiency to withstand the stress of continuous AI training workloads.