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How MapReduce shaped modern AI infrastructure, from distributed computing and fault tolerance to data movement, scheduling, and scaling LLM workloads
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MapReduce did more than simplify distributed computing. It established a powerful abstraction between application logic and infrastructure. That same idea still shapes modern AI systems, where runtimes manage task scheduling, data movement, failures, and distributed execution across GPUs and machines.