AI training and inference run on massive, distributed GPU clusters—systems that only perform as well as their synchronization. As clusters scale from thousands of GPUs today toward six figures next year and potentially one million by 2030, precision timing becomes the multiplier for throughput, reliability, and ROI. This brief explains why tighter time sync (the “heartbeat” of AI systems) is now a first-order design decision for data center leaders.
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