Optical modules, with their ability to provide high bandwidth and low latency, are a key enabler of efficient, scalable, and high-performance network infrastructure, particularly in NVIDIA's cutting-edge AI and HPC environments. They consist of multiple GPU nodes working in parallel to process massive datasets. Efficient node-to-node communication is crucial, as data must flow seamlessly between GPUs to maximize computational. There are multiple methods on the market for calculating the ratio between compute optical modules and GPUs, resulting in different outcomes. GPUs such as the A100, H100, and upcoming GH100 require high-speed optical interconnects to link thousands of GPU nodes, enabling large-scale AI model training and inference. Why Optical Modules Are Critical. In intelligent computing centers built around large-scale GPU clusters, network bandwidth, latency, and reliability directly determine the efficiency of AI training, big data processing, and other tasks.
[PDF Version]