Energy-Efficient AI Networks Lead to Dramatic Reduction in Environmental Impact

Download this white paper to learn about network power consumption in large-scale AI training implementations and the impact of various emerging approaches to enhance power efficiency. The paper details how specific optical innovations can potentially reduce network power consumption by up to 80%, saving more than 17 megawatts of power, and decreasing the carbon footprint by up to 10,000 metric tons of CO2 emissions per AI training cycle.