网络运维工程师接到新通知,一个基于AI预测的光组件健康系统自动发布预警,提示某主干网光放大器可能在20天后出现性能劣化。这不是科幻场景,而是已在现网中运行的真实系统,背后是AI与光网络深度融合带来的深刻变革。当全球数据中心近30%的能耗被用于芯片间的数据传输,当人工智能训练中每处理1TB原始数据可能需要传输高达10TB的中间结果时,一个根本性矛盾日益凸显:计算能力的指数级增长与数据传输瓶颈之间的...
Source Link网络运维工程师接到新通知,一个基于AI预测的光组件健康系统自动发布预警,提示某主干网光放大器可能在20天后出现性能劣化。这不是科幻场景,而是已在现网中运行的真实系统,背后是AI与光网络深度融合带来的深刻变革。当全球数据中心近30%的能耗被用于芯片间的数据传输,当人工智能训练中每处理1TB原始数据可能需要传输高达10TB的中间结果时,一个根本性矛盾日益凸显:计算能力的指数级增长与数据传输瓶颈之间的...
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