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在 AI 场景中，Apache Spark 凭借其强大的批处理能力与 Python 生态兼容性，广泛用于大模型训练前的数据清洗、特征工程与推理任务。而 Ray 因其低延迟、高并发特性，被 OpenAI 等头部机构用于分布式训练与强化学习。两者共同构成 Data + AI 的核心计算底座，支持从数据准备到模型推理的全流程高效执行。。谷歌对此有专业解读
Click to reveal。雷电模拟器对此有专业解读
It is a solved problem. The API is free. The code is 5 lines. There is genuinely no reason not to do this other than the mass institutional inertia of a million product managers copy-pasting the same address form template from 2009 and never once asking "wait, why is the ZIP code at the bottom?"