In AI supercomputing setups using NVIDIA GPUs, each GPU node requires multiple optical modules to achieve high throughput. To maintain low latency and fault tolerance, data centers often deploy redundant optical links, effectively doubling the number of modules per GPU node. For example, a cluster with 1,000 NVIDIA H100 GPUs may require over 10,000 optical modules when accounting for multi-link redundancy, intra-rack, and inter-rack connections, illustrating the scale of redundancy needed in high-performance environments .
Optical modules, such as GLM or GBIC transceivers, have relatively high failure rates, with a typical large-scale network experiencing one module failure per week. To prevent network downtime, redundant modules are installed so that a failed module can be replaced without interrupting operations. This approach ensures continuous network availability and mitigates the impact of unpredictable failures .
In redundant automation systems like the SIMATIC S7-400, two sync modules per CPU are used for fiber-optic connections, with each system employing 2 duplex cables (4 strands total). Both CPUs and their associated sync modules are required for redundancy, ensuring that the system continues to operate even if one module fails .
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