As AI clusters scale toward hundreds of thousands of GPUs, the biggest bottleneck is no longer compute—it is the network. Massive east-west traffic, driven by distributed training and model synchronization, is pushing traditional data center architectures to their limits. In this context, the emergence of 1.6T optical transceivers marks a critical turning point. Rather than being just another spee